Bulk segregant analysis: 'An effective approach for mapping consistent-effect drought grain yield QTLs in rice'
<|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:'Mapping QTLs for grain yield under drought in rice involves phenotyping and genotyping of large mapping populations. The huge cost incurred in genotyping could be considered as a bottleneck in the process. Whole population genotyping (WPG), selective genotyping (SG), and bulk segregant analysis (BSA) approaches were employed for the identification of major grain-yield QTLs under drought in rice in the past few years. The efficiency of different QTL mapping approaches in identifying major-effect grainyield QTLs under drought in rice was compared using phenotypic and genotypic data of two recombinant inbred line populations, Basmati334/Swarna and N22/MTU1010. All three genotyping approaches were efficient in identifying consistent-effect QTLs with an additive effect of 10% or more. Comparative analysis revealed that SG and BSA required 63' . 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" : ["Bulk segregant analysis","Grain yield under drought","QTLs","Quantitative trait loci","Selective genotyping"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Mapping QTLs for grain yield under drought in rice involves phenotyping and genotyping of large mapping populations. The huge cost incurred in genotyping could be considered as a bottleneck in the process. Whole population genotyping (WPG), selective genotyping (SG), and bulk segregant analysis (BSA) approaches were employed for the identification of major grain-yield QTLs under drought in rice in the past few years. The efficiency of different QTL mapping approaches in identifying major-effect grainyield QTLs under drought in rice was compared using phenotypic and genotypic data of two recombinant inbred line populations, Basmati334/Swarna and N22/MTU1010. All three genotyping approaches were efficient in identifying consistent-effect QTLs with an additive effect of 10% or more. Comparative analysis revealed that SG and BSA required 63' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Mapping QTLs for grain yield under drought in rice involves phenotyping and genotyping of large mapping populations. The huge cost incurred in genotyping could be considered as a bottleneck in the process. Whole population genotyping (WPG), selective genotyping (SG), and bulk segregant analysis (BSA) approaches were employed for the identification of major grain-yield QTLs under drought in rice in the past few years. The efficiency of different QTL mapping approaches in identifying major-effect grainyield QTLs under drought in rice was compared using phenotypic and genotypic data of two recombinant inbred line populations, Basmati334/Swarna and N22/MTU1010. All three genotyping approaches were efficient in identifying consistent-effect QTLs with an additive effect of 10% or more. Comparative analysis revealed that SG and BSA required 63
Bulk segregant analysis; Grain yield under drought; QTLs; Quantitative trait loci; Selective genotyping