Replication Data for: The relative efficiency of a Bayesian linear phenotypic selection index to predict the net genetic merit in plants

J. Jesús Cerón Rojas Sergio Pérez-Elizalde Jose Crossa (2020)

In breeding, the net genetic merit of candidates for selection is a linear combination of the breeding values of the traits of interest weighted by their respective economic values. This dataset contains the R code that accompanies a publication that describes an evaluation of linear phenotypic selection indices (LPSI) and Bayesian linear phenotypic selection indices (BLPSI).

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

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

J. Jesús Cerón Rojas Sergio Pérez-Elizalde Jose Crossa Johannes Martini (2021)

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.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA