Ducournau Sylvie, Charrier Aurélie, Demilly Didier, Wagner Marie-Hélène, Trigui Ghassen, Dupont Audrey, Hamdy Sherif, Boudehri-Giresse Karima, Le Corre Laurence, Landais Laurence, Delanoue Angélique, Charruaud Dorothée, Henry Karine, Henry Nicolas, Ledroit Lydie, Dürr Carolyne
Groupe d'Etude et de contrôle des Variétés Et des Semences (GEVES), 25 rue Georges Morel, 49071, Beaucouzé, France.
INRAE, UMR URGI Unité de Recherche Génomique Info, Route de Saint-Cyr, 78000, Versailles, France.
Data Brief. 2020 Jan 27;29:105201. doi: 10.1016/j.dib.2020.105201. eCollection 2020 Apr.
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.
测量了几个种子和幼苗性状，以评估与环境条件相关的发芽和出苗潜力。更一般地说，在生态学领域也测量这些性状，将其作为简单性状，这些性状可与成年植物上更难测量的其他适应性性状相关联，例如根系性状。已开发出方法，用于对数百个基因型从干种子到异养生长结束进行深度高通量表型分析。本数据集来自一个关于基因型群体基因分型和表型分析的项目，这些基因型具有不同的地理和遗传起源，以便在低温下评估的发芽和早期生长性状方面增加甜菜的基因型多样性。数据收集与首个甜菜作物本体的创建相关。该数据集对应于对198个基因型和4个商业对照品种群体的首次自动表型分析，存于法国国家农业、食品与环境研究院（INRAE）公共存储库，参考编号为doi.org/10.15,454/AKNF4Q。这里介绍的设备和方法可在一个表型分析平台上获取，该平台开放用于合作研究，并适用于为数千个不同作物或其他物种的基因型进行特征描述的特定服务。表型分析值也可与基因组信息相关联，以研究性状值的遗传决定因素。
