Replication Data for: Bayesian multi-trait kernel methods for multi-environment genome based prediction

Replication Data for: Bayesian multi-trait kernel methods for multi-environment genome based prediction

In breeding, multi-trait data can be used with different models for genomic prediction analyses. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic prediction and to compare the performance of the different analyses.

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Bibliographic Details
Main Authors: Montesinos-López, Osval A., Montesinos-López, José Cricelio, Ramírez-Alcaraz, Juan Manuel, Poland, Jesse, Singh, Ravi, Dreisigacker, Susanne, Crespo Herrera, Leonardo Abdiel, Mondal, Suchismita, Govindan, Velu, Juliana, Philomin, Huerta Espino, Julio, Shrestha, Sandesh, Varshney, Rajeev K., Montesinos-López, Abelardo, Crossa, Jose
Other Authors: Dreher, Kate
Format: Phenotypic data biblioteca
Language:English
Published: CIMMYT Research Data & Software Repository Network 2021
Subjects:Agricultural Sciences, Triticum aestivum, Agricultural research, Wheat, Heading time, Maturity time, Plant height, Grain yield,
Online Access:https://hdl.handle.net/11529/10548565
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https://hdl.handle.net/11529/10548565

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