ICAR Research Data Repository for Knowledge Management
Replication Data for: The relative efficiency of a Bayesian linear phenotypic selection index to predict the net genetic merit in plants
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
View Archive Info| Field | Value | |
| Title |
Replication Data for: The relative efficiency of a Bayesian linear phenotypic selection index to predict the net genetic merit in plants
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| Identifier |
https://hdl.handle.net/11529/10548542
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| Creator |
Cerón-Rojas, J. Jesus
Perez-Elizalde, Sergio Crossa, Jose |
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| Publisher |
CIMMYT Research Data & Software Repository Network
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| Description |
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).
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| Subject |
Agricultural Sciences
Agricultural research |
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| Language |
English
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| Date |
2020-12-08
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| Contributor |
Dreher, Kate
United States Agency for International Development (USAID) Bill and Melinda Gates Foundation (BMGF) Foundation for Research Levy on Agricultural Products (FFL) Agricultural Agreement Research Fund (JA) Genetic Resources Program (GRP) Biometrics and Statistics Unit (BSU) CGIAR Research Program on Maize (MAIZE) CGIAR Research Program on Wheat (WHEAT) CGIAR Cornell University Kansas State University |
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| Type |
Dataset
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