Replication Data for: The relative efficiency of a Bayesian linear phenotypic selection index to predict the net genetic merit in plants
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. 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)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Agricultural research"]} <|eot_id|>
 Here is the Description of a dataset. 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)' . Please return only a json list of at most 3 Keywords corresponding to the 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)
Agricultural research