ArticlePloS one2013
Dynamic quantitative trait loci analysis of seed reserve utilization during three germination stages in rice.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 54 citations in OpenAlex.
- Genome-wide association study reveals that the cupin domain protein OsCDP3.10 regulates seed vigour in rice.Plant biotechnology journal · 2022Article
- Breeding rice for a changing climate by improving adaptations to water saving technologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Genome-wide association mapping and gene expression analysis identifyFrontiers in plant science · 2022Article
- Review
- A genome-wide association study reveals that the cytochrome b5 involved in seed reserve mobilization during seed germination in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Differences in Germination of ACCase-Resistant Biotypes Containing Isoleucine-1781-Leucine Mutation and Susceptible Biotypes of Wild Oat (Plants (Basel, Switzerland) · 2021Article
- Primary Root and Mesocotyl Elongation in Maize Seedlings: Two Organs with Antagonistic Growth below the Soil Surface.Plants (Basel, Switzerland) · 2021Review
- Advances in the Identification of Quantitative Trait Loci and Genes Involved in Seed Vigor in Rice.Frontiers in plant science · 2021Review
- Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.Scientific reports · 2020Article
- Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping.BMC genetics · 2020Article
- Identification of quantitative trait loci governing early germination and seedling vigor traits related to weed competitive ability in rice.Euphytica: Netherlands journal of plant breeding · 2020Article
- Genetic dissection of seedling vigour in a diverse panel from the 3,000 Rice (Oryza sativa L.) Genome Project.Scientific reports · 2019Article
- Influence of isopropylmalate synthase OsIPMS1 on seed vigour associated with amino acid and energy metabolism in rice.Plant biotechnology journal · 2019Article
- Quantitative Trait Locus Analysis of Seed Germination and Early Seedling Growth in Rice.Frontiers in plant science · 2019Article
- Early harvesting improves seed vigour of hybrid rice seeds.Scientific reports · 2018Article
- Proteomic Analysis Reveals Proteins Involved in Seed Imbibition under Salt Stress in Rice.Frontiers in plant science · 2016Article
- Article
- Effects of pre-harvest chemical application on rice desiccation and seed quality.Journal of Zhejiang University. Science. B · 2015Article
- Review
- Dynamic quantitative trait locus analysis of seed vigor at three maturity stages in rice.PloS one · 2014Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, one rice population of recombinant inbred lines (RILs) was used to determine the genetic characteristics of seed reserve utilization during the early (day 6), middle (day 10) and late (day 14) germination stages. The seedling dry weight (SDW) and weight of the mobilized seed reserve (WMSR) were increased, while the seed reserve utilization efficiency (SRUE) decreased, during the process of seed germination. The SDW and WMSR were affected by the seed weight, while the SRUE was not affected by the seed weight. A total of twenty unconditional and twenty-one conditional additive QTLs and eight epistatic QTLs were identified at three germination stages, and the more QTLs were expressed at the late germination stage. Among them, twelve additive and three epistatic QTLs for SDW, eight additive and three epistatic QTLs for WMSR and thirteen additive and two epistatic QTLs for SRUE were identified, respectively. The phenotypic variation explained by each additive QTL, epistatic QTL and QTL × development interaction ranged from 6.10 to 23.91%, 1.79 to 6.88% and 0.22 to 2.86%, respectively. Two major additive QTLs qWMSR7.1 and qSRUE4.3 were identified, and each QTL could explain more than 20% of the total phenotypic variance. By comparing the chromosomal positions of these additive QTLs with those previously identified, eleven QTLs might represent novel genes. The best four cross combinations of each trait for the development of RIL populations were selected. The selected RILs and the identified QTLs might be applicable to improve rice seed reserve utilization by the marker-assisted selection approach.
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