Abstract
ABSTRACT Rice processing quality, a key driver of consumer acceptance and global market competitiveness, is primarily determined by two critical parameters: brown rice rate (BRR) and milled rice rate (MRR). Despite their significant agricultural importance, the genetic mechanisms underpinning these traits remain poorly understood. This study analysed 447 genetically diverse rice accessions from the 3K Rice Genomes Project across multiple environments. Significant variation in processing traits was observed, with BRR from 73.1% to 79.3% and MRR from 58.3% to 74.3%. Seven quantitative trait loci (QTL) were identified via genome‐wide association studies (GWAS), including four novel loci ( qBRR10 , qBRR10‐1 , qMRR5 and qMRR11‐1 ) and three loci co‐localized with functionally validated genes ( OsGME2 , du3 and OsPK5 ). These results confirm the reliability of the analytical framework. Haplotype‐based stratification revealed statistically significant variations in traits ( p < 0.05) across subpopulations, with distinct geographic clustering patterns identified through cluster analysis. This study enhances the molecular understanding of mechanisms regulating processing quality and delivers specific genetic targets for marker‐assisted breeding, establishing a foundation for developing superior rice cultivars with enhanced processing traits.
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Claims 7
Claim · model-written summary
GWAS in 447 rice accessions identified seven QTL for processing traits.
- Taxon
- rice
Oryza sativae0 - Material
- genetically diverse rice accessionse0
- Outcome
- quantitative trait locie1
- Value
- Sevene1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study analysed 447 genetically diverse rice accessions”
e1“Seven quantitative trait loci (QTL) were identified via genome‐wide association studies (GWAS), including four novel loci”
Claim · model-written summary
Four novel QTL were identified for brown and milled rice rates.
- Taxon
- riceOryza sativae0
- Gene
- qBRR10 , qBRR10‐1 , qMRR5 and qMRR11‐1e3
- Outcome
- novel locie3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study analysed 447 genetically diverse rice accessions”
e3“including four novel loci ( qBRR10 , qBRR10‐1 , qMRR5 and qMRR11‐1 )”
Claim · model-written summary
Three QTL co-localised with the functionally validated genes OsGME2, du3 and OsPK5.
- Taxon
- riceOryza sativae0
- Gene
- OsGME2 , du3 and OsPK5e2
- Outcome
- three loci co‐localizede2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study analysed 447 genetically diverse rice accessions”
e2“three loci co‐localized with functionally validated genes ( OsGME2 , du3 and OsPK5 )”
Claim · model-written summary
Brown rice rate varied from 73.1% to 79.3% across the accessions.
- Taxon
- riceOryza sativae0
- Outcome
- BRRe4
- Direction
- variatione4
- Value
- 73.1% to 79.3%e4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study analysed 447 genetically diverse rice accessions”
e4“Significant variation in processing traits was observed, with BRR from 73.1% to 79.3% and MRR from 58.3% to 74.3%”
Claim · model-written summary
Milled rice rate varied from 58.3% to 74.3% across the accessions.
- Taxon
- riceOryza sativae0
- Outcome
- MRRe4
- Direction
- variatione4
- Value
- 58.3% to 74.3%e4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study analysed 447 genetically diverse rice accessions”
e4“Significant variation in processing traits was observed, with BRR from 73.1% to 79.3% and MRR from 58.3% to 74.3%”
Claim · model-written summary
Processing traits differ significantly among haplotype-based subpopulations.
- Taxon
- riceOryza sativae0
- Outcome
- traitse5
- Qualifier
- p < 0.05e5
- Comparator
- subpopulationse5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study analysed 447 genetically diverse rice accessions”
e5“Haplotype‐based stratification revealed statistically significant variations in traits ( p < 0.05) across subpopulations”
Claim · model-written summary
Rice accessions show distinct geographic clustering patterns.
- Taxon
- riceOryza sativae0
- Outcome
- geographic clustering patternse6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study analysed 447 genetically diverse rice accessions”
e6“with distinct geographic clustering patterns identified through cluster analysis”