New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
<|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:'The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments' . 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","Days to heading","Days to maturity","Deep learning","Genomic selection","Grain color","Grain yield","Mixed phenotypes","Multi-trait","Plant breeding","Wheat"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments
Agricultural research; Days to heading; Days to maturity; Deep learning; Genomic selection; Grain color; Grain yield; Mixed phenotypes; Multi-trait; Plant breeding; Wheat