Replication data for: Improving association studies and genomic predictions for climbing beans with data from bush bean populations
<|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:'Genomic predictions for climbing beans were established. The climbing bean panel (VEC) was phenotypically and genotypically characterized. To improve association studies and predictions, contrasting bush type bean data, i.e., publicly available data as well as data from new field trials, were added to the data set' . 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" : ["Africa","Crops for nutrition and health","Genome-Wide Association Study (GWAS)","Genomic prediction","Genotyping","Genotyping-By-Sequencing (GBS)","Haplotypes","Latin America and the Caribbean","Marker Assisted Selection","Sub-Saharan Africa","Whole Genome Sequencing (WGS)"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Genomic predictions for climbing beans were established. The climbing bean panel (VEC) was phenotypically and genotypically characterized. To improve association studies and predictions, contrasting bush type bean data, i.e., publicly available data as well as data from new field trials, were added to the data set' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Genomic predictions for climbing beans were established. The climbing bean panel (VEC) was phenotypically and genotypically characterized. To improve association studies and predictions, contrasting bush type bean data, i.e., publicly available data as well as data from new field trials, were added to the data set
Africa; Crops for nutrition and health; Genome-Wide Association Study (GWAS); Genomic prediction; Genotyping; Genotyping-By-Sequencing (GBS); Haplotypes; Latin America and the Caribbean; Marker Assisted Selection; Sub-Saharan Africa; Whole Genome Sequencing (WGS)