de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population

These data correspond to the phenotypic and genomic datafiles used for the paper entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population"

Detalles Bibliográficos
Autores principales: Verdal, Hugues de, Baertschi, Cédric, Frouin, Julien, Quintero Valencia, Constanza Maria, Ospina Rey, Yolima, Álvarez Vargas, Maria Fernanda, Cao, Tuong-Vi Cao, Bartholomé, Jérôme, Grenier, Cécile
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/132446
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author Verdal, Hugues de
Baertschi, Cédric
Frouin, Julien
Quintero Valencia, Constanza Maria
Ospina Rey, Yolima
Álvarez Vargas, Maria Fernanda
Cao, Tuong-Vi Cao
Bartholomé, Jérôme
Grenier, Cécile
author_browse Baertschi, Cédric
Bartholomé, Jérôme
Cao, Tuong-Vi Cao
Frouin, Julien
Grenier, Cécile
Ospina Rey, Yolima
Quintero Valencia, Constanza Maria
Verdal, Hugues de
Álvarez Vargas, Maria Fernanda
author_facet Verdal, Hugues de
Baertschi, Cédric
Frouin, Julien
Quintero Valencia, Constanza Maria
Ospina Rey, Yolima
Álvarez Vargas, Maria Fernanda
Cao, Tuong-Vi Cao
Bartholomé, Jérôme
Grenier, Cécile
author_sort Verdal, Hugues de
collection Repository of Agricultural Research Outputs (CGSpace)
description These data correspond to the phenotypic and genomic datafiles used for the paper entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population"
format Conjunto de datos
id CGSpace132446
institution CGIAR Consortium
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
record_format dspace
spelling CGSpace1324462024-10-18T13:00:08Z de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population Verdal, Hugues de Baertschi, Cédric Frouin, Julien Quintero Valencia, Constanza Maria Ospina Rey, Yolima Álvarez Vargas, Maria Fernanda Cao, Tuong-Vi Cao Bartholomé, Jérôme Grenier, Cécile rice oryza sativa These data correspond to the phenotypic and genomic datafiles used for the paper entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population" 2023-08-24 2023-10-25T15:02:51Z 2023-10-25T15:02:51Z Dataset https://hdl.handle.net/10568/132446 en Open Access De Verdal, H.; Baertschi, C.; Frouin, J.; Quintero Valencia, C.M.; Ospina Rey, Y.; Alvarez Vargas, M.F.; Cao, T.C.; Bartholome, J.; Grenier, C. (2023) Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population. https://doi.org/10.18167/DVN1/A7DEHI
spellingShingle rice
oryza sativa
Verdal, Hugues de
Baertschi, Cédric
Frouin, Julien
Quintero Valencia, Constanza Maria
Ospina Rey, Yolima
Álvarez Vargas, Maria Fernanda
Cao, Tuong-Vi Cao
Bartholomé, Jérôme
Grenier, Cécile
de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
title de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
title_full de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
title_fullStr de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
title_full_unstemmed de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
title_short de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
title_sort de verdal et al optimization of multi generation multi location genomic prediction models for recurrent genomic selection in an upland rice population
topic rice
oryza sativa
url https://hdl.handle.net/10568/132446
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