High throughput phenotyping dataset related to seed and seedling traits of sugar beet genotypes
2020
Ducournau, Sylvie | Charrier, Aurélie | Demilly, Didier | Wagner, Maria-Helena | Trigui, Ghassen | Dupont, Audrey | Hamdy, Sherif | Boudehri-Giresse, Karima | Le Corre, Laurence | Landais, Laurence | Delanoue, Angelique | Charruaud, Dorothée | Henry, Karine | Henry, Nicolas | Ledroit, Lydie | Durr, Carolyne | 0971 Gip Geves SNES Angers ; Institut National de la Recherche Agronomique (INRA)-Accueil GEVES (Accueil GEVES)-Groupe d'étude et de controle des variétés et des semences (GEVES)-Gip Geves SNES Angers (Gip Geves SNES Angers) | Station Nationale d’Essais de Semences [Beaucouzé] (SNES) | 1314 Gip Geves Direction - Siège ; Institut National de la Recherche Agronomique (INRA)-Gip Geves Direction - Siège (Gip Geves Direction - Siège)-Accueil GEVES (Accueil GEVES)-Groupe d'étude et de controle des variétés et des semences (GEVES) | Unité de Recherche Génomique Info (URGI) ; Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Florimond Desprez | Institut de Recherche en Horticulture et Semences (IRHS) ; Université d'Angers (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | ANR-11-BTBR-0007 (AKER program) : programme Investissement d'Avenir | ANR-11-BTBR-0007,AKER,Innover pour une filière française durable : réinvestir la diversité allélique de la betterave par l(2011)
International audience
显示更多 [+] 显示较少 [-]英语. Several seed and seedling traits are measured to evaluate germination and emergence potential in relation with environmental conditions. More generally, these traits are also measured in the field of ecology as simple traits that can be correlated to other adaptative traits more difficult to measure on adult plants, as for example traits of the rooting system. Methods were developed for deep high throughput phenotyping of hundreds of genotypes from dry seed to the end of heterotrophic growth. The present dataset comes from a project on genotyping and phenotyping of populations of genotypes, with different geographic and genetic origins so as to increase genotypic diversity of sugar beet in terms of germination and early growth traits, evaluated at low temperatures. Data were collected in relation to the creation of the first sugar beet crop ontology. This dataset corresponds to the first automated phenotyping of a population of 198 genotypes and 4 commercial control varieties and is hosted on INRAE public depository under the reference number doi.org/10.15,454/AKNF4Q. The equipment and methods presented here are available on a phenotyping platform opened to collaborative research and adaptable for specific services for characterizing thousands of genotypes on different crops or other species. The phenotyping values can also be linked to genomic information to study the genetic determinism of the trait values.
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