Título
Replication Data for: Sparse testing using genomic predication improves selection for breeding targets in elite spring wheat
Autor
Ravi Singh
Kelly Robbins
Jose Crossa
Alison Bentley
Nivel de Acceso
Acceso Abierto
Descripción
Abstracto - In multi-environment yield trials, the use of sparse testing genomic selection enables increasing selection intensity or testing environments. The data presented in this dataset were used in the evaluation of different sparse testing genomic selection strategies in the early yield testing stage of CIMMYT spring wheat breeding pipeline. Phenotypic, genotypic, and coefficient of parentage data are provided. The germplasm is made up of multiple populations each with small family sizes. The findings of the study are detailed in an accompanying article.
Editor
International Maize and Wheat Improvement Center
Fecha de publicación
2022
Tipo de recurso
Dataset
Recurso de información
Repositorio Orígen
Repositorio Institucional de Datos y Software de Investigación del CIMMYT
Descargas
0