ArticlePloS one2012
Unraveling the complex trait of harvest index with association mapping in rice (Oryza sativa L.).
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Association study of morpho-phenological traits in quinoa (Chenopodium quinoa Willd.) using SSR markers.Scientific reports · 2024Article
- Exploring the Phenotypic and Genetic Variabilities in Yield and Yield-Related Traits of the Diallel-Crossed FPlants (Basel, Switzerland) · 2023Article
- Two Novel QTLs for the Harvest Index that Contribute to High-Yield Production in Rice (Oryza sativa L.).Rice (New York, N.Y.) · 2021Article
- Dynamic genome-wide association analysis and identification of candidate genes involved in anaerobic germination tolerance in rice.Rice (New York, N.Y.) · 2021Article
- Nitrogen Use Efficiency in Sorghum: Exploring Native Variability for Traits Under Variable N-Regimes.Frontiers in plant science · 2021Article
- 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 Association Study for Yield and Yield Related Traits under Reproductive Stage Drought in a Diverse indica-aus Rice Panel.Rice (New York, N.Y.) · 2020Article
- Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice.Scientific reports · 2020Article
- Detecting CSSLs and yield QTLs with additive, epistatic and QTL×environment interaction effects from Oryza sativa × O. nivara IRGC81832 cross.Scientific reports · 2020Article
- Assessing alternative crop establishment methods with a sustainability lens in rice production systems of Eastern India.Journal of cleaner production · 2020Article
- Identification of Superior Alleles for Seedling Stage Salt Tolerance in the USDA Rice Mini-Core Collection.Plants (Basel, Switzerland) · 2019Article
- Genetic dissection of harvest index and related traits through genome-wide quantitative trait locus mapping inBreeding science · 2019Article
- Association Analysis of Three Diverse Rice (The plant genome · 2019Article
- Expression of a Chloroplast-Targeted Cyanobacterial Flavodoxin in Tomato Plants Increases Harvest Index by Altering Plant Size and Productivity.Frontiers in plant science · 2019Article
- Source-Sink Relationships in Crop Plants and Their Influence on Yield Development and Nutritional Quality.Frontiers in plant science · 2018Review
- The Domestication of the Amazon Tree Grape (Frontiers in plant science · 2018Article
- Identification and validation of a novel major QTL for harvest index in rice (Oryza sativa L.).Rice (New York, N.Y.) · 2017Article
- Favorable Marker Alleles for Panicle Exsertion Length in Rice (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
- Assessment of Five Chilling Tolerance Traits and GWAS Mapping in Rice Using the USDA Mini-Core Collection.Frontiers in plant science · 2017Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Harvest index is a measure of success in partitioning assimilated photosynthate. An improvement of harvest index means an increase in the economic portion of the plant. Our objective was to identify genetic markers associated with harvest index traits using 203 O. sativa accessions. The phenotyping for 14 traits was conducted in both temperate (Arkansas) and subtropical (Texas) climates and the genotyping used 154 SSRs and an indel marker. Heading, plant height and weight, and panicle length had negative correlations, while seed set and grain weight/panicle had positive correlations with harvest index across both locations. Subsequent genetic diversity and population structure analyses identified five groups in this collection, which corresponded to their geographic origins. Model comparisons revealed that different dimensions of principal components analysis (PCA) affected harvest index traits for mapping accuracy, and kinship did not help. In total, 36 markers in Arkansas and 28 markers in Texas were identified to be significantly associated with harvest index traits. Seven and two markers were consistently associated with two or more harvest index correlated traits in Arkansas and Texas, respectively. Additionally, four markers were constitutively identified at both locations, while 32 and 24 markers were identified specifically in Arkansas and Texas, respectively. Allelic analysis of four constitutive markers demonstrated that allele 253 bp of RM431 had significantly greater effect on decreasing plant height, and 390 bp of RM24011 had the greatest effect on decreasing panicle length across both locations. Many of these identified markers are located either nearby or flanking the regions where the QTLs for harvest index have been reported. Thus, the results from this association mapping study complement and enrich the information from linkage-based QTL studies and will be the basis for improving harvest index directly and indirectly in rice.
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