HIGHLIGHTS
- who: C. Anilkumar from the Salinity Research Institute University of have published the research work: Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification, in the Journal: Scientific Reports Scientific Reports
- what: In the present study, meta-QTL analysis was conducted specifically for thousand grain weight in rice. The outcome of this investigation has significant application in practical rice breeding programs to incorporate these MQTL for grain weight improvement through marker-aided breeding programs.
SUMMARY
The information from 114 QTL found in 22 distinct . . .
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