| 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) | 95.39 | | 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) | 15.59 | | 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) | 5285.85 | | 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) | 7.37 | | 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) | 42.06 | | 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) | 81.5 | | 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) | 118.5 | | 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) | 529.19 | | 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) | 0 | | 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) | 85.01 | | 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) | 11.16 | | 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) | 28.33 | | 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) | 6.73 | | 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) | 212.82 | | 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) | 7.43 | | 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) | 25.14 | | 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) | 5869.72 | | 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) | 0 | | 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) | 214.81 | | 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) | 16.77 | | 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) | 36.34 | | 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) | 6.83 | | 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) | 59.31 | | 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) | 92.73 | | 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) | 555.81 | | 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) | 142.14 | | 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) | 491.7 | | 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) | 1946.51 | | 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) | 16.18 | | 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) | 10.87 | | 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) | 388.09 | | 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) | 1472.53 | | 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) | 355.34 | | 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) | 11.64 | | 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) | 118.95 | | 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) | 827.73 | | 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) | 21.78 | | 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: | 2622.22 | | 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: | 16585.6 | | 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. | 2.01 | | 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 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.17 | | 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. | 3.47 | | 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 | | 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. | 3.56 | | 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 2-Epilaserine | Concentration of 2-Epilaserine 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 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 7.04 | | 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 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 7.56 | | 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 2-Epilaserine | Concentration of 2-Epilaserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 9.22 | | 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. | 9.51 | | 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 | | 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. | 0.56 | | 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 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.69 | | 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 | | 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. | 0.95 | | 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 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.01 | | 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 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide 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 | | 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. | 1.6 | | 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 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 1.78 | | 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 2-Epilaserine oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.02 | | 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 oxide | Concentration of 2-Epilaserine oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.16 | | 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-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0 | | 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. | 0.05 | | 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-Methoxymellein | Concentration of 6-Methoxymellein 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 | | 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. | 0.09 | | 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 6-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.11 | | 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-Methoxymellein | Concentration of 6-Methoxymellein measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.43 | | 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 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. | 115.48 | | 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 | | 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. | 12.14 | | 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 | | 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. | 12.24 | | 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 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. | 16.84 | | 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 | | 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. | 26.24 | | 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 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. | 29.1 | | 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 | | 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. | 42.22 | | 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. | 71.57 | | 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 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. | 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-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. | 1.62 | | 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 | | 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. | 1.7 | | 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. | 10.6 | | 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 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. | 10.63 | | 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 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. | 14.67 | | 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-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. | 2.15 | | 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 | | 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. | 3.68 | | 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-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. | 3.83 | | 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. | 5.54 | | 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. | 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 | | 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. | 0.92 | | 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-,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. | 1.38 | | 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 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. | 2.38 | | 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 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. | 2.39 | | 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 | | 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. | 3.5 | | 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 | | 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. | 3.83 | | 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. | 6.92 | | 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-,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. | 7.99 | | 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-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. | 13.69 | | 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 | | 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. | 17.99 | | 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-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. | 2.48 | | 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 | | 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. | 2.5 | | 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 | | 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. | 20.3 | | 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 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. | 3.45 | | 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-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. | 5.51 | | 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 | | 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. | 5.66 | | 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. | 7.26 | | 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 Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 26.26 | | 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 Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 28.07 | | 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. | 30.35 | | 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 Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 33.31 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 38.36 | | 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 Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 47.64 | | 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 Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 62.15 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarindiol | Concentration of Falcarindiol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 78.44 | | 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. | 95.63 | | 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 Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 14.13 | | 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 | | 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. | 14.9 | | 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. | 16.62 | | 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 | | 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. | 17.7 | | 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 Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 18.88 | | 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-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 19.47 | | 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 | | 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. | 25.56 | | 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 Falcarindiol-3-acetate | Concentration of Falcarindiol-3-acetate measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 35.96 | | 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 | | 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. | 36.39 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 101.18 | | 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 Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 122.76 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 217.37 | | 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 Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 26.91 | | 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 Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 29.71 | | 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 | | Not Available |
| CHEMICAL | Concentration of Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 410.19 | | 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. | 736.77 | | 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 Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 77.12 | | 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 Falcarinol | Concentration of Falcarinol measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 94.53 | | 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 Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 23.07 | | 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 Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 24.86 | | 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 Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 41.64 | | 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 Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 48.79 | | 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 Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 49.27 | | 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 Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 56.25 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 58.89 | | 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 Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 80.15 | | 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 | | Not Available |
| CHEMICAL | Concentration of Isovaginatin | Concentration of Isovaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 83.78 | | 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 Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.06 | | 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 Laserin oxide | Concentration of Laserin oxide 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 | | 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. | 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 | | 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. | 0.09 | | 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. | 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 | | 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. | 0.17 | | 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 Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.25 | | 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 | | 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. | 0.3 | | 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 Laserin oxide | Concentration of Laserin oxide measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 0.32 | | 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 | | Not Available |
| CHEMICAL | Concentration of Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 10.19 | | 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. | 10.94 | | 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 Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 13.03 | | 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 Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 13.57 | | 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 Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 2.99 | | 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. | 3.86 | | 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. | 4.53 | | 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. | 5.81 | | 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 Laserine | Concentration of Laserine measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 8.24 | | 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. | 104.23 | | 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. | 105.38 | | 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 Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 171.14 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 196.78 | | 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 Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 203.82 | | 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 | | Not Available |
| CHEMICAL | Concentration of Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 206.44 | | 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 Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 303.36 | | 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 Vaginatin | Concentration of Vaginatin measured using high-throughput Ultra-High-Performance Liquid Chromatography-Mass Spectrometry. Units = µg/g. | 387.1 | | 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 | | Not Available |
| GENDIV | He_Expected heterozygosity_SNP markers | Expected heterozygosity from genetic data obtained from 2354 SNP markers. Units: | 0.27 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | He_Expected heterozygosity_DcS-ILP markers | Expected heterozygosity from genetic data obtained from 93 DcS-ILP markers. Units: | 0.213 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Na_Number of alleles_SNP markers | Number of alleles from genetic data obtained from 2354 SNP markers. Units: | 1.733 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Na_Number of alleles_DcS-ILP markers | Number of alleles from genetic data obtained from 93 DcS-ILP markers. Units: | 1.613 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Ne_Number of effective alleles_SNP markers | Number of effective alleles from genetic data obtained from 2354 SNP markers. Units: | 1.466 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Ne_Number of effective alleles_DcS-ILP markers | Number of effective alleles from genetic data obtained from 93 DcS-ILP markers. Units: | 1.361 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Ho_Observed heterozygosity_SNP markers | Observed heterozygosity from genetic data obtained from 2354 SNP markers. Units: | 0.291 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Ho_Observed heterozygosity_DcSILP markers | Observed heterozygosity from genetic data obtained from 93 DcS-ILP markers. Units: | 0.239 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Polymorphic loci_SNP markers | Percentage of polymorphic loci observed within analysed cultivars from genetic data obtained from 2354 SNP markers. Units: % | 0.7328 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 2021 | | Not Available |
| GENDIV | Polymorphic loci_DcS-ILP markers | Percentage of polymorphic loci observed within analysed cultivars from genetic data obtained from 93 DcS-ILP markers. Units: % | 0.60215 | 5 | Stelmach, 2021 ; Genetic diversity structure of western-type carrots.">Stelmach, 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 | Leaf colour - intensity of green | Leaf colour - intensity of green | 4 - Light - medium | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root length | Root length | 7 - Long (Berlikumer 2, Berlikumer 3) | | 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 shape longitudinal | Root shape in longitudinal section. | 3 - Obtriangular | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root shoulder shape | Root shoulder shape | 3 - Rounded | | UKVGB.Carrots.Characterisation.ADB.XXXX | | 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 | | 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 cortex colour | Outer core pigmentation/colour | 2 - Yellow | | UKVGB.Carrots.Characterisation.ADB.XXXX | | 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 | 3 - Orange | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| ROOT | Root core colour | Inner core pigmentation/colour | 3 - Orange | | Keilwagen, 2017.">Keilwagen, 2017 | | Not Available |
| ROOT | Extent of Shoulder Green Colour | Extent of green colour of skin on shoulder. | 3 - Low (Scarla) | | 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 type grouping | Root type grouping | Nantes - Nantes | | UKVGB.Carrots.Characterisation.ADB.XXXX | | Not Available |
| SUBSET | Carrots_type_subsets | Subsets of Carrots types | Carrots-Nantes - This accession is a member of the Carrots-Nantes type subset | | UKVGB.General.Subsets.XXXX.1 | | 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 |