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Genetic mapping for grain quality and yield-attributed traits in Basmati rice using SSR-based genetic map
Madhvi Sharma1, Sunil S Gangurde, Romesh K Salgotra
1School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu 180 009, India.
Journal of Biosciences
|June 21, 2021
Summary
Researchers mapped quantitative trait loci (QTLs) for rice grain quality and yield in Basmati rice. This genetic information aids marker-assisted selection for improved kernel elongation and nutritional traits in rice varieties.
Area of Science:
- Plant genetics
- Agricultural science
- Molecular breeding
Background:
- Rice grain quality and shape are crucial for market value and global food demand.
- Improving these traits in Basmati rice requires understanding the genetic basis of kernel elongation and quality.
- Existing genetic information for these traits is limited, necessitating molecular marker approaches.
Purpose of the Study:
- To detect and map quantitative trait loci (QTLs) associated with grain quality and yield in Basmati rice.
- To identify genetic markers for marker-assisted selection (MAS) to enhance kernel elongation and nutritional quality.
- To analyze the genetic inheritance, including epistatic interactions, of these important traits.
Main Methods:
- A recombinant inbred line (RIL) population of 130 lines was developed from a cross between Basmati 370 and Pusa Basmati 1121.
- A genetic map was constructed using 70 polymorphic simple sequence repeat (SSR) markers covering 689.3 cM across 12 rice chromosomes.
- Quantitative trait loci (QTLs) for nine yield and quality traits were mapped using the RIL population.
Main Results:
- A total of 20 QTLs were identified for nine yield and quality traits.
- Significant variation and transgressive segregation were observed for grain quality traits in the RIL population.
- Epistatic interactions were detected for grain quality traits, indicating complex genetic control.
Conclusions:
- The identified QTLs and associated flanking markers provide valuable genetic resources for Basmati rice improvement.
- Marker-assisted selection (MAS) can be effectively employed using this information to enhance kernel elongation and nutritional grain quality.
- This study contributes to a deeper understanding of the genetic architecture underlying important rice grain traits.

