ulgaris L.) grown area and an exotic accession of Beta vulgaris maritima from Denmark. Institution: Florimond Desprez; City/Town/Region: Cappelle-en Pévèle; Country: France. Latitude and longitude for collected samples 50.5167; 3.1667 Data accessibility Repository name: URGI Plant and Fungi Dataverse Data identification number: https://doi.org/10.15454/AKNF4Q Direct URL to data: https://doi.org/10.15454/AKNF4Q Open in a new tab Value of the Data • Seed and seedling traits are increasingly measured in the field of ecology as simple traits that can be used to describe species diversity. A deeper phenotyping of genetic diversity in crops is also necessary to better understand their tol
Open resource ↗URGI Plant and Fungi Dataverse · 10.15454/AKNF4Q · lines:129-170Unverified paper record
High throughput phenotyping dataset related to seed and seedling traits of sugar beet genotypes.
Data in brief · 27 Jan 2020 · 10.1016/j.dib.2020.105201
Abstract
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.
Plant phenotyping relevance
種子から幼苗までの形質を対象とした自動・高スループット表現型解析手法、データセット、公開プラットフォームが研究の中心であるため。
abstractMethods were developed for deep high throughput phenotyping of hundreds of genotypes from dry seed to the end of heterotrophic growth.
abstractThis dataset corresponds to the first automated phenotyping of a population of 198 genotypes and 4 commercial control varieties
abstractThe equipment and methods presented here are available on a phenotyping platform opened to collaborative research
Code and data availability
The paper is a data descriptor whose sugar beet seed/seedling phenotyping dataset (28 traits for 202 genotypes) is publicly deposited in the URGI Plant and Fungi Dataverse with DOI 10.15454/AKNF4Q. No author analysis code is publicly released (scripts in Avizo/TCL/MATLAB and Fiji are described but no deposit URL is给定).
This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.