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

Source repository

Repositorio Institucional de Datos y Software de Investigación del CIMMYT

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0

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