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Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification.

Scientific reports - 16 Aug 2022

Anilkumar C, Sah Rameswar Prasad, Muhammed Azharudheen T P, Behera Sasmita, Singh Namita, Prakash Nitish Ranjan, Sunitha N C, Devanna B N, Marndi B C, Patra B C, Nair Sunil Kumar

Abstract excerpt

Quantitative trait loci (QTL) for rice grain weight identified using bi-parental populations in various environments were found inconsistent and have a modest role in marker assisted breeding and map-based cloning programs. Thus, the identification of a consistent consensus QTL region across populations is critical to deploy in marker aided breeding programs. Using the QTL meta-analysis technique, we collated...

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PMID: 35974066
DOI: 10.1038/s41598-022-17402-w
PMCID: PMC9381546

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