Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
作者： Manish Roorkiwal , Rajeev K. Varshney , Khela Ram Soren , Narendra Pratap Singh , Priyanka Gangwar
DOI: 10.1371/JOURNAL.PONE.0251669
关键词:
摘要: Unravelling the genetic architecture underlying yield components and agronomic traits is important for enhancing crop productivity. Here, a recombinant inbred line (RIL) population, developed from ICC 4958 DCP 92-3 cross, was used constructing linkage map QTL mapping analysis. The RIL population genotyped using high-throughput Axiom®CicerSNP array, which enabled development of high-density consisting 3,818 SNP markers spanning distance 1064.14 cM. Analysis phenotyping data yield, measured across three years together with led to identification 10 major-effect QTLs six minor-effect explaining up 59.70% phenotypic variance. identified 100-seed weight, plant height possessed key genes, such as C3HC4 RING finger protein, pentatricopeptide repeat (PPR) sugar transporter, leucine zipper protein NADH dehydrogenase, amongst others. gene ontology studies highlighted role these genes in regulating seed weight plants. genomic regions components, traits, closely linked will help advance genetics research breeding programs chickpea.
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