ArticleRice (New York, N.Y.)2021
Genomic Regions Involved in Differences in Eating and Cooking Quality Other than Wx and Alk Genes between indica and japonica Rice Cultivars.
Article in Rice (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Article
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- OsGATA7 and SMOS1 cooperatively determine rice taste quality by repressing OsGluA2 expression and protein biosynthesis.Nature communications · 2025Article
- Breeding D1-Type HybridInternational journal of molecular sciences · 2025Article
- QTN detection and candidate gene identification for improved eating and cooking quality in rice using GWAS and PLS regression analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Gene Pyramiding Strategies for Sink Size and Source Capacity for High-Yield Japonica Rice Breeding.Rice (New York, N.Y.) · 2025Review
- A cooking and eating quality evaluating system for whole grain black rice.Molecular breeding : new strategies in plant improvement · 2025Article
- Characterization of a Major Quantitative Trait Locus for the Whiteness of Rice Grain Using Chromosome Segment Substitution Lines.Plants (Basel, Switzerland) · 2024Article
- Exploring the impact of key physicochemical properties of rice on taste quality and instant rice processing.Frontiers in plant science · 2024Article
- Improving rice eating and cooking quality by enhancing endogenous expression of a nitrogen-dependent floral regulator.Plant biotechnology journal · 2023Article
- Integrated Transcriptomic and Metabolomic Analyses Uncover the Differential Mechanism in Saline-Alkaline Tolerance betweenInternational journal of molecular sciences · 2023Article
- Fantastic genes: where and how to find them? Exploiting rice genetic resources for the improvement of yield, tolerance, and resistance to a wide array of stresses in rice.Functional & integrative genomics · 2023Review
- Multi-model genome-wide association studies for appearance quality in rice.Frontiers in plant science · 2023Article
- Rice Grain Size and Quality.Rice (New York, N.Y.) · 2022Article
- Post-genomics revolution in the design of premium quality rice in a high-yielding background to meet consumer demands in the 21st century.Plant communications · 2022Review
- Genetic Background Negates Improvements in Rice Flour Characteristics and Food Processing Properties Caused by a Mutant Allele of the PDIL1-1 Seed Storage Protein Gene.Rice (New York, N.Y.) · 2022Article
- Introgression Lines: Valuable Resources for Functional Genomics Research and Breeding in Rice (Frontiers in plant science · 2022Review
- FLOURY ENDOSPERM19 encoding a class I glutamine amidotransferase affects grain quality in rice.Molecular breeding : new strategies in plant improvement · 2021Article
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7 authors.
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Abstract
backgroundIn temperate rice cultivation regions, japonica rice cultivars are grown preferentially because consumers deem them to have good eating quality, whereas indica rice cultivars have high grain yields and strong heat tolerance but are considered to have poor eating quality. To mitigate the effects of global warming on rice production, it is important to develop novel rice cultivars with both desirable eating quality and resilience to high temperatures. Eating quality and agronomic traits were evaluated in a reciprocal set of chromosome segment substitution lines derived from crosses between a japonica rice cultivar 'Koshihikari' and an indica rice cultivar 'Takanari'.
resultsWe detected 112 QTLs for amylose and protein contents, whiteness, stickiness, hardness and eating quality of cooked rice grains. Almost of 'Koshihikari' chromosome segments consistently improved eating quality. Among detected QTLs, six QTLs on chromosomes 1-5 and 11 were detected that increased whiteness and stickiness of cooked grains or decreased their hardness for 3 years. The QTLs on chromosomes 2-4 were not associated with differences in amylose or protein contents. QTLs on chromosomes 1-5 did not coincide with QTLs for agronomic traits such as heading date, culm length, panicle length, spikelet fertility and grain yield. Genetic effects of the detected QTLs were confirmed in substitution lines carrying chromosome segments from five other indica cultivars in the 'Koshihikari' genetic background.
conclusionThe detected QTLs were associated with differences in eating quality between indica and japonica rice cultivars. These QTLs appear to be widely distributed among indica cultivars and to be novel genetic factors for eating quality traits because their chromosome regions differed from those of the GBSSI (Wx) and SSIIa (Alk) genes. The detected QTLs would be very useful for improvement of eating quality of indica rice cultivars in breeding programs.
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