ArticlePloS one2016
Improvement of Rice Biomass Yield through QTL-Based Selection.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Multi-locus allelic architecture underlying natural variation in leaf rolling inFrontiers in plant science · 2026Article
- Development of SNP genotyping assays for heading date in rice.Breeding science · 2024Article
- Uncovering the Genomic Regions Associated with Yield Maintenance in Rice Under Drought Stress Using an Integrated Meta-Analysis Approach.Rice (New York, N.Y.) · 2024Article
- Physiological Analysis of Source-Sink Relationship in Rice Genotypes with Contrasting Grain Yields.Plants (Basel, Switzerland) · 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
- Detection of QTLs Regulating Six Agronomic Traits of Rice Based on Chromosome Segment Substitution Lines of Common Wild Rice (Biomolecules · 2022Article
- Leaf Count Aided Novel Framework for Rice (Plants (Basel, Switzerland) · 2022Article
- Major effect loci for plant size before onset of nitrogen fixation allow accurate prediction of yield in white clover.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022Article
- Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population.3 Biotech · 2021Article
- Molecular mapping of QTLs for yield related traits in recombinant inbred line (RIL) population derived from the popular rice hybrid KRH-2 and their validation through SNP genotyping.Scientific reports · 2020Article
- Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.BMC genomics · 2020Article
- Article
- Improving Lodging Resistance: Using Wheat and Rice as Classical Examples.International journal of molecular sciences · 2019Review
- Next generation long-culm rice with superior lodging resistance and high grain yield, Monster Rice 1.PloS one · 2019Article
- Quantitative trait loci (QTLs) for water use and crop production traits co-locate with major QTL for tolerance to water deficit in a fine-mapping population of pearl millet (Pennisetum glaucum L. R.Br.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Article
- Finding the superior allele of japonica-type for increasing stem lodging resistance in indica rice varieties using chromosome segment substitution lines.Rice (New York, N.Y.) · 2018Article
- A follow-up study for biomass yield QTLs in rice.PloS one · 2018Article
- Molecular Mapping of QTLs Associated with Lodging Resistance in Dry Direct-Seeded Rice (Frontiers in plant science · 2017Article
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13 authors.
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Abstract
Biomass yield of rice (Oryza sativa L.) is an important breeding target, yet it is not easy to improve because the trait is complex and phenotyping is laborious. Using progeny derived from a cross between two high-yielding Japanese cultivars, we evaluated whether quantitative trait locus (QTL)-based selection can improve biomass yield. As a measure of biomass yield, we used plant weight (aboveground parts only), which included grain weight and stem and leaf weight. We measured these and related traits in recombinant inbred lines. Phenotypic values for these traits showed a continuous distribution with transgressive segregation, suggesting that selection can affect plant weight in the progeny. Four significant QTLs were mapped for plant weight, three for grain weight, and five for stem and leaf weight (at α = 0.05); some of them overlapped. Multiple regression analysis showed that about 43% of the phenotypic variance of plant weight was significantly explained (P < 0.0001) by six of the QTLs. From F2 plants derived from the same parental cross as the recombinant inbred lines, we divergently selected lines that carried alleles with positive or negative additive effects at these QTLs, and performed successive selfing. In the resulting F6 lines and parents, plant weight significantly differed among the genotypes (at α = 0.05). These results demonstrate that QTL-based selection is effective in improving rice biomass yield.
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