ArticleGenetica2016
Genome wide association study (GWAS) for grain yield in rice cultivated under water deficit.
Article in Genetica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
29 citing papers in PubMed, 65 citations in OpenAlex.
- Functional and regulatory complexity: challenges and prospects for understanding rice WRKY transcription factors.Journal of experimental botany · 2026Review
- Genome-wide association study uncovers the genetic loci for yield-related traits in waxy rice.Journal of applied genetics · 2026Article
- Genome-wide association study in a US soft winter wheat population reveals novel and known sources of resistance to the Septoria tritici blotch pathogen Zymoseptoria tritici.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Unveiling the genetic determinants of germination efficiency in common bermudagrass: A genome-wide association study.The plant genome · 2026Article
- Genome-Wide Association Study for Drought Tolerance in Cowpea (International journal of molecular sciences · 2025Article
- Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025Article
- Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects.International journal of molecular sciences · 2025Review
- Uncovering genetic determinants of antioxidant properties in Thai landrace rice through genome-wide association analysis.Scientific reports · 2025Article
- Genome-Wide Association Study for Seed Yield of Tepary Bean Using Whole-Genome Resequencing.International journal of molecular sciences · 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
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- Genome-wide association study of drought tolerance traits in sugar beet germplasms at the seedling stage.Frontiers in genetics · 2023Article
- Extensive simulations assess the performance of genome-wide association mapping in variousPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Climate Change Impact on Wheat Performance-Effects on Vigour, Plant Traits and Yield from Early and Late Drought Stress in Diverse Lines.International journal of molecular sciences · 2022Article
- Genome-Wide Association Analyses to Identify SNPs Related to Drought Tolerance.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Article
- Automatic Measurement of Morphological Traits of Typical Leaf Samples.Sensors (Basel, Switzerland) · 2021Article
- Jasmonates and Plant Salt Stress: Molecular Players, Physiological Effects, and Improving Tolerance by Using Genome-Associated Tools.International journal of molecular sciences · 2021Review
- Drought Responsive Putative Marker-Trait Association in Tall Fescue as Influenced by the Presence of a Novel Endophyte.Frontiers in plant science · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of rice drought tolerant materials is crucial for the development of best performing cultivars for the upland cultivation system. This study aimed to identify markers and candidate genes associated with drought tolerance by Genome Wide Association Study analysis, in order to develop tools for use in rice breeding programs. This analysis was made with 175 upland rice accessions (Oryza sativa), evaluated in experiments with and without water restriction, and 150,325 SNPs. Thirteen SNP markers associated with yield under drought conditions were identified. Through stepwise regression analysis, eight SNP markers were selected and validated in silico, and when tested by PCR, two out of the eight SNP markers were able to identify a group of rice genotypes with higher productivity under drought. These results are encouraging for deriving markers for the routine analysis of marker assisted selection. From the drought experiment, including the genes inherited in linkage blocks, 50 genes were identified, from which 30 were annotated, and 10 were previously related to drought and/or abiotic stress tolerance, such as the transcription factors WRKY and Apetala2, and protein kinases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.