Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
<|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:'^' . 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","Crop performance","Ear height","Gaussian kernel","G×E","Genomic Prediction","Genomic Selection","Genomic selection models","Genotype × Environment interaction","Grain yield","Helix Seeds Company","Maize","Plant height","reaction norm genotype × environment interaction model","Reproducing kernel Hilbert space","RNG×E","University of Sao Paulo","Zea Mays"]} <|eot_id|>
 Here is the Description of a dataset. Description:'^' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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Agricultural research; Crop performance; Ear height; Gaussian kernel; G×E; Genomic Prediction; Genomic Selection; Genomic selection models; Genotype × Environment interaction; Grain yield; Helix Seeds Company; Maize; Plant height; reaction norm genotype × environment interaction model; Reproducing kernel Hilbert space; RNG×E; University of Sao Paulo; Zea Mays