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

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.

Data and Resources

Additional Info

Field Value
Author Cerón-Rojas, J. Jesus, Perez-Elizalde, Sergio, Crossa, Jose, Martini, Johannes Wolfgang Robert
Maintainer CIMMYT Research Data & Software Repository Network
Last Updated January 20, 2025, 15:58 (UTC)
Created January 20, 2025, 15:58 (UTC)
contributor Dreher, Kate
creator Cerón-Rojas, J. Jesus
date 2021-04-09T00:00:00
harvest_object_id 4d5fd8f7-7d21-4ad0-92ea-5dad14365efb
harvest_source_id a58b0729-e941-4389-816d-5823f01c0d28
harvest_source_title CIMMYT Research Data
identifier https://hdl.handle.net/11529/10548567
language English
metadata_modified 2024-10-26T07:00:04
set_spec cimmytdatadvn