Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits
<|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:'This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy' . 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","Anthesis-silking interval","Days to heading","Days to maturity","Maize","Plant height","Plant height","Prediction accuracy","Triticum aestivum","Wheat"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy
Agricultural research; Anthesis-silking interval; Days to heading; Days to maturity; Maize; Plant height; Plant height; Prediction accuracy; Triticum aestivum; Wheat