ArticlePlanta2011
Mapping QTLs for improving grain yield using the USDA rice mini-core collection.
Article in Planta, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Scientific evolution and translational horizons of plant core germplasm: a global bibliometric synthesis and strategic insights.Frontiers in plant science · 2026Pooled it
- CRISPR-Cas systems for enhancing chilling tolerance in rice: recent advances and future prospects.Biologia futura · 2026Review
- Genome-wide association studies of ionomic and agronomic traits in USDA mini core collection of rice and comparative analyses of different mapping methods.BMC plant biology · 2020Article
- Genome-Wide Correlation of 36 Agronomic Traits in the 287 Pepper (International journal of molecular sciences · 2019Article
- Identification of Superior Alleles for Seedling Stage Salt Tolerance in the USDA Rice Mini-Core Collection.Plants (Basel, Switzerland) · 2019Article
- Association Analysis of Three Diverse Rice (The plant genome · 2019Article
- Dissecting the Genetic Architecture of Melon Chilling Tolerance at the Seedling Stage by Association Mapping and Identification of the Elite Alleles.Frontiers in plant science · 2018Article
- In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping.BMC genomics · 2017Article
- Association Analysis of Arsenic-Induced Straighthead in Rice (BioMed research international · 2017Article
- Assessment of Five Chilling Tolerance Traits and GWAS Mapping in Rice Using the USDA Mini-Core Collection.Frontiers in plant science · 2017Article
- Association Analysis of Markers Derived from Starch Biosynthesis Related Genes with Starch Physicochemical Properties in the USDA Rice Mini-Core Collection.Frontiers in plant science · 2017Article
- Association Analysis in Rice: From Application to Utilization.Frontiers in plant science · 2016Review
- Quantitative trait locus analysis and fine mapping of the qPL6 locus for panicle length in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015Article
- Development of Cymbidium ensifolium genic-SSR markers and their utility in genetic diversity and population structure analysis in cymbidiums.BMC genetics · 2014Article
- Association studies of dormancy and cooking quality traits in direct-seeded indica rice.Journal of genetics · 2014Article
- Association mapping of six yield‑related traits in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014Article
- Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.PloS one · 2014Article
- Genomic regions underlying agronomic traits in linseed (Linum usitatissimum L.) as revealed by association mapping.Journal of integrative plant biology · 2014Article
- Article
- Genetic diversity assessment of sesame core collection in China by phenotype and molecular markers and extraction of a mini-core collection.BMC genetics · 2012Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Yield is the most important and complex trait for genetic improvement in crops, and marker-assisted selection enhances the improvement efficiency. The USDA rice mini-core collection derived from over 18,000 accessions of global origins is an ideal panel for association mapping. We phenotyped 203 O. sativa accessions for 14 agronomic traits and identified 5 that were highly and significantly correlated with grain yield per plant: plant height, plant weight, tillers, panicle length, and kernels/branch. Genotyping with 155 genome-wide molecular markers demonstrated 5 main cluster groups. Linkage disequilibrium (LD) decayed at least 20 cM and marker pairs with significant LD ranged from 4.64 to 6.06% in four main groups. Model comparisons revealed that different dimensions of principal component analysis affected yield and its correlated traits for mapping accuracy, and kinship did not improve the mapping in this collection. Thirty marker-trait associations were highly significant, 4 for yield, 3 for plant height, 6 for plant weight, 9 for tillers, 5 for panicle length and 3 for kernels/branch. Twenty-one markers contributed to the 30 associations, because 8 markers were co-associated with 2 or more traits. Allelic analysis of OSR13, RM471 and RM7003 for their co-associations with yield traits demonstrated that allele 126 bp of RM471 and 108 bp of RM7003 should receive greater attention, because they had the greatest positive effect on yield traits. Tagging the QTLs responsible for multiple yield traits may simultaneously help dissect the complex yield traits and elevate the efficiency to improve grain yield using marker-assisted selection in rice.
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