Evidence map›Paper›PMID 32761553›Full record

ArticleRice (New York, N.Y.)2020

Genome-Wide Association Study for Yield and Yield Related Traits under Reproductive Stage Drought in a Diverse indica-aus Rice Panel.

Aditi Bhandari, Nitika Sandhu, Jérôme Bartholome, Tuong-Vi Cao-Hamadoun, Nourollah Ahmadi, Nilima Kumari, Arvind Kumar

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

27 citing papers in PubMed, 50 citations in OpenAlex.

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  6. 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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  14. HarnessingAntioxidants (Basel, Switzerland) · 2024
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  19. Leaf Count Aided Novel Framework for Rice (Plants (Basel, Switzerland) · 2022
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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

7 authors at 3 institutions in 3 countries.

Aditi BhandariRice Breeding Platform, International Rice Research Institute, DAPO Box, 7777, Metro Manila, Philippines.
Nitika SandhuRice Breeding Platform, International Rice Research Institute, DAPO Box, 7777, Metro Manila, Philippines.
Jérôme BartholomeRice Breeding Platform, International Rice Research Institute, DAPO Box, 7777, Metro Manila, Philippines.
Tuong-Vi Cao-HamadounCIRAD, UMR, AGAP, Montpellier, France.
Nourollah AhmadiCIRAD, UMR, AGAP, Montpellier, France.
Nilima KumariBanasthali Vidyapith, Banasthali, 304022, India.
Arvind KumarRice Breeding Platform, International Rice Research Institute, DAPO Box, 7777, Metro Manila, Philippines. a.kumar@irri.org.ORCID http://orcid.org/0000-0002-5488-9410
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRBanasthali University · INInternational Rice Research Institute · PH

Funding

Agropolis Fondation Grant no 1201-006Fondazione Cariplo Grant no 1201-006
6 · The paper itself

Abstract

backgroundReproductive-stage drought stress is a major impediment to rice production in rainfed areas. Conventional and marker-assisted breeding strategies for developing drought-tolerant rice varieties are being optimized by mining and exploiting adaptive traits, genetic diversity; identifying the alleles, and understanding their interactions with genetic backgrounds for their increased contribution to drought tolerance. Field experiments were conducted in this study to identify marker-trait associations (MTAs) involved in response to yield under reproductive-stage (RS) drought. A diverse set of 280 indica-aus accessions was phenotyped for ten agronomic traits including yield and yield-related traits under normal irrigated condition and under two managed reproductive-stage drought environments. The accessions were genotyped with 215,250 single nucleotide polymorphism markers.

resultsThe study identified a total of 219 significant MTAs for 10 traits and candidate gene analysis within a 200 kb window centred from GWAS identified SNP peaks detected these MTAs within/ in close proximity to 38 genes, 4 earlier reported major grain yield QTLs and 6 novel QTLs for 7 traits out of the 10. The significant MTAs were mainly located on chromosomes 1, 2, 5, 6, 9, 11 and 12 and the percent phenotypic variance captured for these traits ranged from 5 to 88%. The significant positive correlation of grain yield with yield-related and other agronomic traits except for flowering time, observed under different environments point towards their contribution in improving rice yield under drought. Seven promising accessions were identified for use in future genomics-assisted breeding programs targeting grain yield improvement under drought.

conclusionThese results provide a promising insight into the complex genetic architecture of grain yield under reproductive-stage drought in different environments. Validation of major genomic regions reported in the study will enable their effectiveness to develop drought-tolerant varieties following marker-assisted selection as well as to identify genes and understanding the associated physiological mechanisms.

Indexed as

Association mappingGenetic diversityQuantitative trait lociReproductive-stage droughtRice

Identifiers

PMID32761553
PMCPMC7410978
OpenAlexW3047770297

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.