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dc.contributor.authorMir, R.R.
dc.contributor.authorChoudhary, N.
dc.contributor.authorBawa, V.
dc.contributor.authorJan, S.
dc.contributor.authorSingh, B.
dc.contributor.authorBhat, M.A.
dc.contributor.authorPaliwal, R.
dc.contributor.authorKumar, A.
dc.contributor.authorChitikineni, A.
dc.contributor.authorThudi, M.
dc.contributor.authorVarshney, R.K.
dc.date.accessioned2022-01-31T09:59:27Z
dc.date.available2022-01-31T09:59:27Z
dc.date.issued2021-01
dc.identifier.citationMir, R.R., Choudhary, N., Bawa, V., Jan, S., Singh, B., Bhat, M.A., ... & Varshney, R.K. (2021). Allelic diversity, structural analysis, and genome-wide association study (GWAS) for yield and related traits using unexplored common bean (Phaseolus vulgaris L.) Germplasm from Western Himalayas. Frontiers in Genetics, 11:609603, 1-17.
dc.identifier.issn1664-8021
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7324
dc.description.abstractThe north-western Indian Himalayas possesses vast diversity in common bean germplasm due to several years of natural adaptation and farmer’s selection. Systematic efforts have been made for the first time for the characterization and use of this huge diversity for the identification of genes/quantitative trait loci (QTLs) for yield and yield-contributing traits in common bean in India. A core set of 96 diverse common bean genotypes was characterized using 91 genome-wide genomic and genic simple sequence repeat (SSR) markers. The study of genetic diversity led to the identification of 691 alleles ranging from 2 to 21 with an average of 7.59 alleles/locus. The gene diversity (expected heterozygosity, He) varied from 0.31 to 0.93 with an average of 0.73. As expected, the genic SSR markers detected less allelic diversity than the random genomic SSR markers. The traditional clustering and Bayesian clustering (structural analysis) analyses led to a clear cut separation of a core set of 96 genotypes into two distinct groups based on their gene pools (Mesoamerican and Andean genotypes). Genome-wide association mapping for pods/plant, seeds/pod, seed weight, and yield/plant led to the identification of 39 significant marker–trait associations (MTAs) including 15 major, 15 stable, and 13 both major and stable MTAs. Out of 39 MTAs detected, 29 were new MTAs reported for the first time, whereas the remaining 10 MTAs were already identified in earlier studies and therefore declared as validation of earlier results. A set of seven markers was such, which were found to be associated with multiple (two to four) different traits. The important MTAs will be used for common bean molecular breeding programs worldwide for enhancing common bean yield.
dc.description.sponsorshipGovernment of India
dc.format.extent1-17
dc.language.isoen
dc.subjectCommon Beans
dc.subjectAnalysis
dc.subjectQuantitative Trait Loci
dc.subjectGenes
dc.subjectYields
dc.subjectDna
dc.subjectGenotypes
dc.titleAllelic diversity, structural analysis, and genome-wide association study (GWAS) for yield and related traits using unexplored common bean (Phaseolus vulgaris L.) Germplasm from Western Himalayas
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.affiliationSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
cg.contributor.affiliationSher-e-Kashmir University of Agricultural Sciences and Technology of Jammu
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationNorth Dakota State University
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropics
cg.coverage.regionAsia
cg.coverage.countryIndia
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidMIR:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectBiodiversity
cg.iitasubjectFood Security
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Health
cg.iitasubjectPlant Production
cg.journalFrontiers in Genetics
cg.notesOpen Access Journal; Published online: 28 Jan 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3389/fgene.2020.609603
cg.futureupdate.requiredNo
cg.identifier.issue609603
cg.identifier.volume11


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