Evidence map›Paper›PMID 29767744›Full record

ArticleJournal of experimental botany2018

Genome-wide association reveals novel genomic loci controlling rice grain yield and its component traits under water-deficit stress during the reproductive stage.

Niteen N Kadam, Paul C Struik, Maria C Rebolledo, Xinyou Yin, S V Krishna Jagadish

Abstract read
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Article in Journal of experimental botany, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  4. 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 · 2025
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  10. Identification of Drought Tolerant Rice (Plants (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Niteen N KadamInternational Rice Research Institute, DAPO, Metro Manila, Philippines.
Paul C StruikCentre for Crop Systems Analysis, Department of Plant Sciences, Wageningen University & Research, AK Wageningen, The Netherlands.
Maria C RebolledoCIRAD, UMR AGAP, Montpellier, France. AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
Xinyou YinCentre for Crop Systems Analysis, Department of Plant Sciences, Wageningen University & Research, AK Wageningen, The Netherlands.
S V Krishna JagadishInternational Rice Research Institute, DAPO, Metro Manila, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A diversity panel comprising of 296 indica rice genotypes was phenotyped under non-stress and water-deficit stress conditions during the reproductive stage in the 2013 and 2014 dry seasons (DSs) at IRRI, Philippines. We investigated the genotypic variability for grain yield, yield components, and related traits, and conducted genome-wide association studies (GWAS) using high-density 45K single nucleotide polymorphisms. We detected 38 loci in 2013 and 64 loci in 2014 for non-stress conditions and 69 loci in 2013 and 55 loci in 2014 for water-deficit stress. Desynchronized flowering time confounded grain yield and its components under water-deficit stress in the 2013 experiment. Statistically corrected grain yield and yield component values using days to flowering helped to detect 31 additional genetic loci for grain yield, its components, and the harvest index in 2013. There were few overlaps in the detected loci between years and treatments, and when compared with previous studies using the same panel, indicating the complexity of yield formation under stress. Nevertheless, our analyses provided important insights into the potential links between grain yield with seed set and assimilate partitioning. Our findings demonstrate the complex genetic architecture of yield formation and we propose exploring the genetic basis of less complex component traits as an alternative route for further yield enhancement.

Indexed as

DroughtsGenome-Wide Association StudyCrops, AgriculturalOryzaReproduction

Identifiers

PMID29767744
PMCPMC6054195

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Registered trials

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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.