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<scp>cgSSR</scp> marker‐based genome‐wide association study identified genomic regions for panicle characters and yield in rice (<i>Oryza sativa</i> L.)

Rameswar Prasad Sah, Amrit Kumar Nayak, C. Anilkumar, Sasmita Behera, T. P. Muhammed Azharudheen, G. Roopa Lavanya

2022Journal of the Science of Food and Agriculture11 citationsDOI

Abstract

BACKGROUND: To improve production efficiency, positive alleles corresponding to yield-related attributes must be accumulated in a single elite background. We designed and used cgSSR markers, which are superior to random SSR markers in genome-wide association study, to identify genomic regions that contribute to panicle characters and grain yield in this study. RESULTS: As evidenced by the high polymorphic information content value and gene diversity coefficient, the new cgSSR markers were determined to be highly informative. These cgSSR markers were employed to generate genotype data for an association panel evaluated for four panicle characters and grain yield over three seasons. For five traits, 17 significant marker-trait associations on six chromosomes were discovered. The percentage of phenotypic variance that could be explained ranged from 4% to 13%. Unrelated gene-derived markers had a strong association with target traits as well. CONCLUSION: Trait-associated cgSSR markers derived from corresponding or related genes ensure their utility in direct allele selection, while other linked markers aid in allele selection indirectly by altering the phenotype of interest. Through a marker-assisted breeding approach, these marker-trait associations can be leveraged to accumulate favourable alleles for yield enhancement in rice. © 2022 Society of Chemical Industry.

Topics & Concepts

PanicleBiologyOryza sativaAlleleGeneticsQuantitative trait locusMarker-assisted selectionTraitAssociation mappingGenotypeGenome-wide association studyGenetic associationGenetic markerMolecular markerGenePhenotypeSingle-nucleotide polymorphismHorticultureProgramming languageComputer scienceGenetic Mapping and Diversity in Plants and AnimalsRice Cultivation and Yield ImprovementGABA and Rice Research