| 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.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Borneol (BORN)-roots | Borneol volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 31.83 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 59.6 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 988.51 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 10.17 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 23.94 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 234.66 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Limonene (LIMO)-leaf | Limonene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 80.39 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Limonene (LIMO)-roots | Limonene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 124.35 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Linalool (LINA)-leaf | Linalool volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 71.95 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 42.82 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Ocimene (OCIM)-leaf | Ocimene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 18.93 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Ocimene (OCIM)-roots | Ocimene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 21.88 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 9.82 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 57.85 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Sabinene (SABI)-leaf | Sabinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Sabinene (SABI)-roots | Sabinene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 10.25 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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.">Keilwagen, 2017 | | Not Available |
| 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.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Terpinolene (TERP)-leaf | Terpinolene volatile compound, semi-quantified by HS-SPME-GC-FID in plant leaf. Units: Relative concentration (peak area in counts) | 0 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Terpinolene (TERP)-roots | Terpinolene volatile compound, semi-quantified by HS-SPME-GC-FID in plant roots. Units: Relative concentration (peak area in counts) | 402.66 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 65.13 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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.">Keilwagen, 2017 | | Not Available |
| 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) | 38.57 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 40.35 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 14.19 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 9.47 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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.">Keilwagen, 2017 | | Not Available |
| 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) | 6.1 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 91.36 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 60.06 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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.">Keilwagen, 2017 | | Not Available |
| 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.">Keilwagen, 2017 | | Not Available |
| 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) | 176.56 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 312.35 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 903.35 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 25.3 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 6.68 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 66.03 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 871.54 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 935.02 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 6.39 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 118.2 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 0 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 98.58 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| 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) | 93.93 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Terpenoids in carrot leaves | Sum of Semiquantitation of terpenoids in carrot leaves, data are given as the mean of two technical replications. Units: | 2043.91 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Terpenoids in carrot roots | Sum of Semiquantitation of terpenoids in carrot roots, data are given as the mean of two technical replications. Units: | 4084.84 | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 14.02 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 14.81 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 28.17 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 28.77 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 48.26 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 50.77 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 53.89 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 65.18 | | 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 | | Not Available |
| CHEMICAL | Concentration of 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 8.17 | | 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 | | Not Available |
| 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. | 0.23 | | 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 | | Not Available |
| 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. | 0.29 | | 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 | | Not Available |
| 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. | 0.7 | | 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 | | Not Available |
| 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. | 1.24 | | 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 | | Not Available |
| 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. | 1.33 | | 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 | | Not Available |
| 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. | 2.35 | | 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 | | Not Available |
| 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. | 2.59 | | 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 | | Not Available |
| 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. | 2.61 | | 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 | | Not Available |
| 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. | 3.55 | | 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 | | Not Available |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein 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 | | Not Available |
| 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 | | Not Available |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.35 | | 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 | | Not Available |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.56 | | 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 | | Not Available |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.67 | | 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 | | Not Available |
| CHEMICAL | Concentration of 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.91 | | 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 | | Not Available |
| 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. | 104.54 | | 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 | | Not Available |
| 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. | 135.78 | | 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 | | Not Available |
| 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. | 187.05 | | 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 | | Not Available |
| 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. | 198.92 | | 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 | | Not Available |
| 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. | 206.27 | | 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 | | Not Available |
| 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. | 55.65 | | 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 | | Not Available |
| 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. | 76.03 | | 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 | | Not Available |
| 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. | 79.74 | | 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 | | Not Available |
| 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. | 90.36 | | 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 | | Not Available |
| 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. | 10.74 | | 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 | | Not Available |
| 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. | 12.9 | | 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 | | Not Available |
| 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. | 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 | | Not Available |
| 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. | 17.98 | | 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 | | Not Available |
| 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. | 25.7 | | 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 | | Not Available |
| 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. | 27.53 | | 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 | | Not Available |
| 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. | 29 | | 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 | | Not Available |
| 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. | 7.16 | | 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 | | Not Available |
| 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. | 9.97 | | 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 | | Not Available |
| 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. | 12.45 | | 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 | | Not Available |
| 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. | 13.36 | | 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 | | Not Available |
| 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. | 15.03 | | 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 | | Not Available |
| 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. | 2.86 | | 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 | | Not Available |
| 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. | 3.72 | | 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 | | Not Available |
| 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. | 4.54 | | 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 | | Not Available |
| 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. | 6.99 | | 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 | | Not Available |
| 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. | 7.33 | | 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 | | Not Available |
| 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. | 7.55 | | 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 | | Not Available |
| 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. | 12.42 | | 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 | | Not Available |
| 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. | 15.33 | | 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 | | Not Available |
| 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. | 15.68 | | 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 | | Not Available |
| 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. | 15.95 | | 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 | | Not Available |
| 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. | 17.26 | | 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 | | Not Available |
| 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. | 30.01 | | 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 | | Not Available |
| 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. | 30.11 | | 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 | | Not Available |
| 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. | 32.05 | | 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 | | Not Available |
| 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. | 34.17 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 104.06 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 107.44 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 112.34 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 118.53 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 143.73 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 160.07 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 206.88 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 208.23 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 281.77 | | 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 | | Not Available |
| 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. | 140.68 | | 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 | | Not Available |
| 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. | 148.9 | | 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 | | Not Available |
| 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. | 153.11 | | 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 | | Not Available |
| 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. | 72.43 | | 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 | | Not Available |
| 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. | 75.79 | | 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 | | Not Available |
| 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. | 92.12 | | 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 | | Not Available |
| 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. | 92.3 | | 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 | | Not Available |
| 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. | 94.6 | | 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 | | Not Available |
| 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. | 96.58 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1485.42 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1566.81 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 197.98 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 230.36 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 279.2 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 541.26 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 608 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 893.04 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 937.91 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 12.57 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 13.58 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 14.52 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 17.01 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 29 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 32.8 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 34.46 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 40.37 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 7.05 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.09 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.2 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.38 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 3.64 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.11 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 4.81 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 6.44 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 7.75 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserin oxide | Concentration of Laserin oxide 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 11.86 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 12.12 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 20.28 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 28.99 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 31.49 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 32.49 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 35.3 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 5.86 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 8.42 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 103.63 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 132.52 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 161.24 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 169.23 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 262.61 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 286.08 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 317.87 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 397.86 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 84.35 | | 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 | | Not Available |
| 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 | | Not Available |
| 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 | | Not Available |
| MORPHOLOGY | Anthocyanin in petiole | Anthocyanin in the petiole observed on the inside of the petiole. | 1 - Extremely slighlty coloured | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| MORPHOLOGY | Leaf dissection | Leaf dissection | 6 - Intermediate-highly dissected | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| MORPHOLOGY | Foliage width crown | Foliage width crown, observed at the time of full development of the foliage. | 6 - Intermediate-wide | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| MORPHOLOGY | Petiole hairiness | Petiole hairiness | 1 - Extremely sparse | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| MORPHOLOGY | Leaf hairiness | Leaf hairiness | 1 - Extremely sparse | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| MORPHOLOGY | Protrusion above soil | Protrusion above soil | 1 - Absent or very small (Karotan, Parijse Markt 3). | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| MORPHOLOGY | Bolting tendancy | Bolting tendancy | 1 - Extremely weak | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| MORPHOLOGY | Leaf colour - intensity of green | Leaf colour - intensity of green | 5 - Medium (Amsterdam 2, Amsterdam 3) | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| MORPHOLOGY | Percentage bolted | Percentage bolted | 4 | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root length | Root length | 5 - Intermediate (Nantaise) | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root length | Root length | 6 - Intermediate-long | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root diameter | Root diameter, recorded at the widest point of the root. | 5 - Intermediate (Nantaise) | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root diameter | Root diameter, recorded at the widest point of the root. | 5 - Intermediate (Nantaise) | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Relative core diameter | Root diameter of core relative to total diameter. | 6 - Intermediate-large | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root shape longitudinal | Root shape in longitudinal section. | 3 - Obtriangular | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root shape longitudinal | Root shape in longitudinal section. | 3 - Obtriangular | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root shoulder shape | Root shoulder shape | 1 - Flat | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root shoulder shape | Root shoulder shape | 2 - Flat to rounded | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root shoulder shape | Root shoulder shape | 2 - Flat to rounded | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root skin colour | Root skin pigmentation/colour | 2 - Yellow | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root skin colour | Root skin pigmentation/colour | 3 - Orange | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root skin colour | Root skin pigmentation/colour | 3 - Orange | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| 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 | | Not Available |
| ROOT | Root skin colour | Root skin pigmentation/colour | 3 - Orange | | 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 | | Not Available |
| ROOT | Root skin colour | Root skin pigmentation/colour | 3 - Orange | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| ROOT | Root skin intensity | Root skin colour intensity | 4 - Light-intermediate | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 2 - Yellow | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 2 - Yellow | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 3 - Orange | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| 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 | | Not Available |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 3 - Orange | | 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 | | Not Available |
| ROOT | Root cortex colour | Outer core pigmentation/colour | 3 - Orange | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| ROOT | Root core colour | Inner core pigmentation/colour | 2 - Yellow | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root core colour | Inner core pigmentation/colour | 3 - Orange | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root core colour | Inner core pigmentation/colour | 3 - Orange | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root core colour | Inner core pigmentation/colour | 3 - Orange | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| ROOT | Root branching | Root branching | 2 - Very sparse | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Extent of Shoulder Green Colour | Extent of green colour of skin on shoulder. | 1 - Extremely low | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root Tip Shape | Root tip/end shape | 3 - Pointed | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root Tip Shape | Root tip/end shape | 3 - Pointed | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Root tapering | Root tapering | 1 - Slight | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| ROOT | Percentage external colour | Percentage external colour | 4% Yellow; 96% Orange | | GenRes.Itadista.Carrots.Characterisation.2001-2002 | | Not Available |
| 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 | | Not Available |
| TISSUEC | Cell line characterisation | Cell line characterisation | See data for individual plants | | Frederico, 2017; Exploring alternative oxidase (AOX) as a functional marker candidate for efficient somatic embryogenesis in Daucus carota L..">Frederico, 2017 | | Not Available |
| TISSUEC | Cell line stability | Cell line stability | See data for individual plants | | Frederico, 2017; Exploring alternative oxidase (AOX) as a functional marker candidate for efficient somatic embryogenesis in Daucus carota L..">Frederico, 2017 | | Not Available |
| TISSUEC | Cell line efficiency | Cell line efficiency | See data for individual plants | | Frederico, 2017; Exploring alternative oxidase (AOX) as a functional marker candidate for efficient somatic embryogenesis in Daucus carota L..">Frederico, 2017 | | Not Available |
| TISSUEC | Cell line classification | Cell line classification | See data for individual plants | | Frederico, 2017; Exploring alternative oxidase (AOX) as a functional marker candidate for efficient somatic embryogenesis in Daucus carota L..">Frederico, 2017 | | Not Available |