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Genetic Dissection of Grain Size Traits Through Genome-Wide Association Study Based on Genic Markers in Rice

Rice science 2022年第5期29卷 462-472,I0032-I0034页

作者： Amrit Kumar NAYAK Anilkumar C Sasmita BEHERA Rameswar Prasad SAH gera roopa lavanya Awadhesh KUMAR Lambodar BEHERA Muhammed Azharudheen TP Division of Crop Improvement Indian Council of Agricultural Research-National Rice Research InstituteCuttack 753006India Division of Crop Physiology and Biochemistry ICAR-National Rice Research InstituteCuttack 753006India Department of Genetics and Plant Breeding Sam Higginbottom University of AgricultureTechnology and SciencesPrayagraj 211007India

Grain size plays a significant role in rice,starting from affecting yield to consumer preference,which is the driving force for deep investigation and improvement of grain size *** inheritance makes these traits complex to breed on account of several alleles contributing to the complete trait *** employed genome-wide association study in an association panel of 88 rice genotypes using 142 new candidate gene based SSR(cgSSR)markers,derived from yield-related candidate genes,with the efficient mixed-model association coupled mixed linear model for dissecting complete genetic control of grain size traits.A total of 10 significant associations were identified for four grain size-related characters(grain weight,grain length,grain width,and length-width ratio).Among the identified associations,seven marker trait associations explain more than 10%of the phenotypic variation,indicating major putative QTLs for respective *** allelic variations at genes OsBC1L4,SHO1 and OsD2 showed association between 1000-grain weight and grain width,1000-grain weight and grain length,and grain width and length-width ratio,*** cgSSR markers,associated with corresponding traits,can be utilized for direct allelic selection,while other significantly associated cgSSRs may be utilized for allelic accumulation in the breeding programs or grain size *** new cgSSR markers associated with grain size related characters have a significant impact on practical plant breeding to increase the number of causative alleles for these traits through marker aided rice breeding programs.

关键词： best linear unbiased predictor estimate candidate gene based SSR efficient mixed-model association approach genome-wide association study VanRaden kinship

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