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Author: JOSAFHAT SALINAS RUIZ
A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Osval Antonio Montesinos-Lopez Jose Crossa Francisco Javier Luna Vázquez JOSAFHAT SALINAS RUIZ (2017)
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Dataset
Replication Data for: Sparse multi-trait genomic prediction under incomplete block designs
Osval Antonio Montesinos-Lopez Brandon Alejandro Mosqueda González JOSAFHAT SALINAS RUIZ Abelardo Montesinos Jose Crossa (2022)
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.
Dataset