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Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit

author(s) Cerón-Rojas, J. Jesus - Perez-Elizalde, Sergio - Crossa, Jose - Martini, Johannes Wolfgang Robert
from International Maize and Wheat Improvement Center (CIMMYT)
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citation

Cerón-Rojas, J. Jesus; Perez-Elizalde, Sergio; Crossa, Jose; Martini, Johannes Wolfgang Robert, 2021, "Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit", https://hdl.handle.net/11529/10548567, CIMMYT Research Data & Software Repository Network, V1

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Abstract

In breeding, the plant net genetic merit may be predicted through the linear phenotypic selection index (LPSI). This paper associated with this dataset proposes a Bayesian LPSI (BLPSI). The supplemental files provided in this dataset include data that were used to compare the two indices as well as figures showing the results from these comparisons. The analysis revealed that the BLPSI is a good option when carrying out phenotypic selections in breeding programs.

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