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

0

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