eng Oriental Scientific Publishing Company Biosciences Biotechnology Research Asia 0973-1245 2017-03-25 14 1 329 341 10.13005/bbra/2450 23102 article Vikrant Kumar Sahu 1 Sunil,Kumar Nair 2 Ashish Kumar Vishwakarma 1 S. B. Verulkar 1 Girish Chandel 1 Department of Plant Molecular Biology and Biotechnology, COA, IGKV, Raipur-492012 C. G. Department of Genetics and Plant Breeding COA, IGKV, Raipur-492012 C. G. QTL hotspots are the genomic regions influencing several traits by harboring important regulators. Therefore in the present study F₅ mapping population was used to map the novel genomic regions and genomic hotspots by composite interval mapping. In all 130 QTLs were identified for grain yield and its attributing traits. Out of 130 QTLs, 36 QTLs were major effects QTLs and 8 QTLs were found stable over the locations. We identified strong major effects QTL for flag leaf length (qFLL3.1) with 46% phenotypic variance. In this study 6 known QTLs (qph3.1, qnt3.1, qnt3.2, qTGW3-4, qTGW4-1, qPPP4-2) were also validated and co-localized in chromosome 3 and 4 along with currently identified QTLs genomic regions. These genomic regions consist, hotspots of 15 major and 23 minor effects QTLs, which encompasses >3000 genes. Selection for advantageous allele underlying major robust QTLs will be useful to break genetic barriers of yield to sustained food security. https://www.biotech-asia.org/vol14no1/qtl-hotspots-detected-for-yield-contributing-traits-in-rice-oryza-sativa-l-using-composite-interval-mapping-analysis/ Environment; Markers; Yield Quantitative traits; QTLs; Rice;