QTL Hotspots Detected for Yield Contributing Traits in Rice (Oryza Sativa L.) using Composite Interval Mapping Analysis

Vikrant Kumar Sahu¹, Sunil,Kumar Nair², Ashish Kumar Vishwakarma¹, S. B. Verulkar¹ and Girish Chandel¹

¹Department of Plant Molecular Biology and Biotechnology, COA, IGKV, Raipur-492012 C. G.

²Department of Genetics and Plant Breeding COA, IGKV, Raipur-492012 C. G.

Corresponding Author E-mail: ghchandel@gmail.com

DOI : http://dx.doi.org/10.13005/bbra/2450

ABSTRACT: 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.

KEYWORDS: Environment; Markers; Yield Quantitative traits; QTLs; Rice;

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