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Identification of QTLs for agronomic traits using association mapping in lentil
Authors:Jitendra Kumar  Sunanda Gupta  Debjyoti Sen Gupta  Narendra Pratap Singh
Affiliation:1.Division of Crop Improvement,ICAR-Indian Institute of Pulses Research,Kanpur,India;2.Division of Biotechnology,ICAR-Indian Institute of Pulses Research,Kanpur,India
Abstract:A diverse panel of 96 genotypes of lentil was used in this study to identify QTL for nine agronomic traits through marker-trait association analysis. This study showed significant genetic variability among the lentil genotypes for nine agronomic traits and had medium to large broad sense heritability estimates (h2 =?0.58–0.95). Screening of 534 SSR markers resulted in 266 polymorphic loci that generated 697 alleles ranging from 2 to 16 alleles per locus across the genotypes. The model-based population structure analysis identified two distinct subpopulations among lentil genotypes and each subpopulation did not show any admixture. Marker trait association (MTA) analysis following ML model resulted in the identification of 24 MTAs for nine traits at P?
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