| CHEMICAL | Borneol (BORN)-leaf | Borneol volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Borneol (BORN)-roots | Borneol volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Bornyl acetate (BORNAc)-leaf | Bornyl acetate volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Bornyl acetate (BORNAc)-roots | Bornyl acetate volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Caryophyllene oxide-roots | Caryophyllene oxide volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 22.81 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Geranyl acetone (GERA)-roots | Geranyl acetone volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 23.55 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Germacrene D (GERM)-leaf | Germacrene D volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 658.4 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Limonene (LIMO)-leaf | Limonene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 117.23 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Limonene (LIMO)-roots | Limonene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 352.84 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Linalool (LINA)-leaf | Linalool volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 11.46 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Linalyl isovalerate-roots | Linalyl isovalerate volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 24.87 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Ocimene (OCIM)-leaf | Ocimene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 9.24 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Ocimene (OCIM)-roots | Ocimene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | o-cymene (oCYME)-leaf | o-cymene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 17.17 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | o-cymene (oCYME)-roots | o-cymene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 608.52 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Sabinene (SABI)-leaf | Sabinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 12.87 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Sabinene (SABI)-roots | Sabinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 89.13 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Terpinen-4-ol (TERPol)-leaf | Terpinen-4-ol volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Terpinen-4-ol (TERPol)-roots | Terpinen-4-ol volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Terpinolene (TERP)-leaf | Terpinolene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 5.52 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Terpinolene (TERP)-roots | Terpinolene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 3424.05 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-bisabolene (aBISA)-leaf | α-bisabolene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 25.17 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-bisabolol (aBISol)-leaf | α-bisabolol volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-caryophyllene (aCARY)-leaf | α-caryophyllene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 57.82 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-cubebene (aCUBE)-leaf | α-cubebene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 48.54 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-farnesene (aFARN)-leaf | α-farnesene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 31.5 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-longipinene (aLONG)-leaf | α-longipinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 10.22 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-phellandrene (aPHEL)-leaf | α-phellandrene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-phellandrene (aPHEL)-roots | α-phellandrene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 34.53 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-pinene (aPINE)-leaf | α-pinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 846.52 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-pinene (aPINE)-roots | α-pinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 624.46 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-terpineol (aTERP)-leaf | α-terpineol volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | α-thujene (aTHUJ)-leaf | α-thujene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-bisabolene (bBISA)-roots | β-bisabolene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 248.12 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-caryophyllene (bCARY)-leaf | β-caryophyllene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 368.4 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-caryophyllene (bCARY)-roots | β-caryophyllene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 2012.66 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-cyclocitral (bCYCL)-leaf | β-cyclocitral volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 9.05 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-cyclocitral (bCYCL)-roots | β-cyclocitral volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 9.44 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-farnesene (bFARN)-roots | β-farnesene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 136.35 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-myrcene (bMYRC)-leaf | β-myrcene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 195.91 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-myrcene (bMYRC)-roots | β-myrcene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 207.11 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-pinene (bPINE)-leaf | β-pinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 39.64 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | β-pinene (bPINE)-roots | β-pinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 891.07 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | γ-terpinene (gTERP)-leaf | γ-terpinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 13.23 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | γ-terpinene (gTERP)-roots | γ-terpinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 1619.06 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | δ-elemene (dELEM)-leaf | δ-elemene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 6.16 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Terpenoids in carrot leaves | Sum of Semiquantitation of terpenoids in carrot leaves, data are given as the mean of two technical replications. Units: | 2484.06 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Terpenoids in carrot roots | Sum of Semiquantitation of terpenoids in carrot roots, data are given as the mean of two technical replications. Units: | 10328.6 | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 21.48 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 23.81 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 25.63 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 25.92 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 41.11 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 45.23 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 47.43 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 48.24 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 70.84 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.98 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.46 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.42 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.72 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 3.1 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.1 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.15 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.89 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 5.72 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.02 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.14 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.16 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.54 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.24 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 13.39 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 18.23 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 3.4 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 5.59 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.62 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.11 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.47 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.53 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 10.63 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 10.69 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.34 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 3.76 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-angeloyl-,8-O-tigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 9.53 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.03 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.04 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.05 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.07 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.08 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.18 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.42 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-O-tigloyl-,8-O-angeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.45 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.31 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 12.94 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.52 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 3.28 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.52 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.87 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 5.61 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 6.59 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6-,8-O-diangeloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 6.67 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.01 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.02 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.03 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene | Concentration of 6,8-O-ditigloyl-6β,8α,11-trihydroxygermacra-1(10)E,4E-diene measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.13 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 113.64 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 115.87 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 130.85 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 133.98 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 142.32 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 236.12 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 53.86 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 67.71 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 89.35 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 121.46 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 44.58 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 53.81 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 70.84 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 70.88 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 75.1 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 75.26 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 76.95 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 84.39 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 122.82 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 174.63 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 264.5 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 278.05 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 341.7 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 536.65 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 54.25 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 554.47 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 954.53 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.28 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.41 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.46 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.63 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 6.16 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 9.78 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 9.96 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.1 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.14 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.26 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.77 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.85 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.42 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.9 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.3 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.31 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.43 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.87 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.12 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 3.55 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 3.59 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 5.93 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 5.97 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 6.55 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 8.91 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 157.85 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 187.35 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 222.44 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 320.24 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 345.26 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 351.51 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 367.41 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 369.97 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 434.79 | Schmid, 2021; Influence of the Abiotic Stress Conditions, Waterlogging and Drought, on the Bitter Sensometabolome as Well as Agronomical Traits of Six Genotypes of Daucus carota. Accessions were measured in different fields under different treatment types: control, drought and water logging. ">Schmid, 2021 | | |
| GENDIV | East or West genepool (DArT markers) | Assignment to the domestication from Eastern or Western gene pools based on the result of the Diversity Arrays Technology (DArT) markers (method used in the paper), E = Eastern, W = Western. | W - W = Western | Grzebelus, 2014 ; Diversity, genetic mapping, and signatures of domestication in the carrot (Daucus carota L.) genome, as revealed by Diversity Arrays Technology (DArT) markers.">Grzebelus, 2014 | | |
| GENDIV | East or West genepool (SRR markers) | Assignment to the Eastern (E) and the Western (W) gene pools was done previously based on polymorphisms of SSR loci (Baranski et al. 2012a); E = Eastern, W = Western, na – not assigned. | W - W = Western | Grzebelus, 2014 ; Diversity, genetic mapping, and signatures of domestication in the carrot (Daucus carota L.) genome, as revealed by Diversity Arrays Technology (DArT) markers.">Grzebelus, 2014 | | |
| ROOT | Root skin colour | Root skin pigmentation/colour | 3 - Orange | UKVGB.Carrots.Characterisation.ADB.XXXX | | |
| ROOT | Root skin colour | Root skin pigmentation/colour | 3 - Orange | Baranski, 2012; Genetic diversity of carrot (Daucus carota L.) cultivars revealed by analysis of SSR loci.">Baranski, 2012_a | | |
| ROOT | Root skin colour | Root skin pigmentation/colour | 3 - Orange | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| ROOT | Root skin colour | Root skin pigmentation/colour | 5 - Purple | Grzebelus, 2014 ; Diversity, genetic mapping, and signatures of domestication in the carrot (Daucus carota L.) genome, as revealed by Diversity Arrays Technology (DArT) markers.">Grzebelus, 2014 | | |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 3 - Orange | Baranski, 2012; Genetic diversity of carrot (Daucus carota L.) cultivars revealed by analysis of SSR loci.">Baranski, 2012_a | | |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 3 - Orange | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 5 - Purple | Grzebelus, 2014 ; Diversity, genetic mapping, and signatures of domestication in the carrot (Daucus carota L.) genome, as revealed by Diversity Arrays Technology (DArT) markers.">Grzebelus, 2014 | | |
| ROOT | Root core colour | Inner core pigmentation/colour | 3 - Orange | Keilwagen, 2017; The Terpene Synthase Gene Family of Carrot (Daucus carota L.): Identification of QTLs and Candidate Genes Associated with Terpenoid Volatile Compounds. 2017 Keilwagen, Lehnert, Berner, Budahn, Nothnagel, Ulrich and Dunemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ">Keilwagen, 2017 | | |
| SUBSET | Carrots_Set | A flag to indicate that this accession is a member of the Carrots crop group which includes the species Daucus carota; Daucus carota var. atrorubens | Y - Yes the accession is part of this set. | UKVGB.General.CropGroup.XXXX.1 | | |