Título
Replication Data for: Sparse multi-trait genomic prediction under incomplete block designs
Autor
Osval Antonio Montesinos-Lopez
Brandon Alejandro Mosqueda González
JOSAFHAT SALINAS RUIZ
Abelardo Montesinos
Jose Crossa
Nivel de Acceso
Acceso Abierto
Descripción
Abstracto - The efficiency of genomic selection methodologies can be increased by sparse testing where a subset of materials are evaluated in different environments. Seven different multi-environment plant breeding datasets were used to evaluate four different methods for allocating lines to environments in a multi-trait genomic prediction problem. The results of the analysis are presented in the 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
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