Replication Data for: Genome wide association mapping for heat tolerance in sub-tropical maize
<|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:'Heat tolerance is becoming increasingly important for maize grown in the spring season in India because heat stress can lead to devastating yield loss. The genotypic data provided in this dataset were used to carry out GWAS analyses on 662 doubled haploid lines to identify SNPs significantly associated with several traits under normal and heat stress conditions .Haplotype blocks associated with yield contributing traits were also identified. The genomic regions detected from these analyses will require further validation before being applied in breeding pipelines.' . 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 Date","ASI","Ear height","Ear Position","Genotypes","Genotyping by Sequencing (GBS)","Grain Yield","Maize","Plant Height","Silking Date","Zea mays"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Heat tolerance is becoming increasingly important for maize grown in the spring season in India because heat stress can lead to devastating yield loss. The genotypic data provided in this dataset were used to carry out GWAS analyses on 662 doubled haploid lines to identify SNPs significantly associated with several traits under normal and heat stress conditions .Haplotype blocks associated with yield contributing traits were also identified. The genomic regions detected from these analyses will require further validation before being applied in breeding pipelines.' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Heat tolerance is becoming increasingly important for maize grown in the spring season in India because heat stress can lead to devastating yield loss. The genotypic data provided in this dataset were used to carry out GWAS analyses on 662 doubled haploid lines to identify SNPs significantly associated with several traits under normal and heat stress conditions .Haplotype blocks associated with yield contributing traits were also identified. The genomic regions detected from these analyses will require further validation before being applied in breeding pipelines.
Agricultural research; Anthesis Date; ASI; Ear height; Ear Position; Genotypes; Genotyping by Sequencing (GBS); Grain Yield; Maize; Plant Height; Silking Date; Zea mays