PJB-2022-555
Identification of Quantitative Trait Loci Associated with Grain Size Using Advanced Backcross Generation Populations in Rice (Oryza Sativia L.)
Kashif Hussain
Abstract
Abstract
One of the significant factor large grain size cause weight implies significant impacts on grain yield and quality in rice. The prime objective of this experiment is to disclose the complex genetic mechanism of grain size and weight. We constructed a BC4F6 introgression line derived from two genetically dissimilar parents, ZH8015 and PB100. Bulk sergeant analyses method was used to detect polymorphism, four markers identified on chromosome 3 out of 576 SSR markers on 12 chromosomes. Then construct a linkage map and performed QTL analyses for detection of Quantitative trait loci for grain size traits in two environments. A bunch of six QTLs associated with grain size traits identified in the adjacent region of chromosome 3. Four QTLs qGS3.1, qGLWR3.1, qTGW3, and qTGW3.1 controlling grain length, grain length-width ratio and thousand-grain weight explained 80.91 %, 63.43%, 24.40%, 41.23% phenotypic variance within the interval of 4.1, 3.2, 2.9, 6.5 cM respectively. Here qGS3.1 and qGLWR3.1 displayed hierarchical effects on grain length, and grain length-width ratio resultantly increased in grain weight predicted that GS3, qGL3, or qGL3.2 might be the candidate region. Two QTLs qGLWR3 and qGW3.1a existing within the interval of 4.cM increasing grain weight in population explained 12.91% and 20.13 % existing adjacent region of major QTL GW3 and GW3.1 might be the candidate region for QTLs qGLWR3 and qGW3.1a. These results arranged a base for future fine mapping or characterization of such quantitative trait loci for the betterment of yield per unit area.
Keywords: Grain length, QTL, Introgression line, Oryza rufipogon Griff.
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