Title
Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
Author
J. Jesús Cerón Rojas
Sergio Pérez-Elizalde
Jose Crossa
Johannes Martini
Access level
Open Access
Description
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.
Publisher
International Maize and Wheat Improvement Center
Publish date
2021
Resource Type
Dataset
Information Resource
Source repository
Repositorio Institucional de Datos y Software de Investigación del CIMMYT
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