Replication Data for: Bayesian multi-trait kernel methods for multi-environment genome based prediction
<|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, multi-trait data can be used with different models for genomic prediction analyses. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic prediction and to compare the performance of the different analyses' . 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","Grain yield","Heading time","Maturity time","Plant height","Triticum aestivum","Wheat"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In breeding, multi-trait data can be used with different models for genomic prediction analyses. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic prediction and to compare the performance of the different analyses' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In breeding, multi-trait data can be used with different models for genomic prediction analyses. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic prediction and to compare the performance of the different analyses
Agricultural research; Grain yield; Heading time; Maturity time; Plant height; Triticum aestivum; Wheat