Evidence map›Paper›PMID 28584974›Full record

ArticleRice (New York, N.Y.)2017

High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array.

Shanmugavadivel Ps, Amitha Mithra Sv, Chandra Prakash, Ramkumar Mk, Ratan Tiwari, Trilochan Mohapatra, Nagendra Kumar Singh

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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  5. Review
  6. Positive effects of public breeding on US rice yields under future climate scenarios.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Genetic Research Progress: Heat Tolerance in Rice.International journal of molecular sciences · 2023
    Review
  12. International journal of molecular sciences · 2023
    Article
  13. Article
  14. Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops.International journal of molecular sciences · 2022
    Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Identification of alkali-tolerant candidate genes using the NGS-assisted BSA strategy in rice.Molecular breeding : new strategies in plant improvement · 2021
    Article
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 4 institutions in 1 country.

Shanmugavadivel PsICAR-National Research Centre on Plant Biotechnology, New Delhi, India.
Amitha Mithra SvICAR-National Research Centre on Plant Biotechnology, New Delhi, India.
Chandra PrakashICAR-National Research Centre on Plant Biotechnology, New Delhi, India.
Ramkumar MkICAR-National Research Centre on Plant Biotechnology, New Delhi, India.
Ratan TiwariICAR-Indian Institute of Wheat and Barley Research, Karnal, 132 001, India.
Trilochan MohapatraIndian Council of Agricultural Research, Krishi Bhavan, New Delhi, 110 001, India.
Nagendra Kumar SinghICAR-National Research Centre on Plant Biotechnology, New Delhi, India. nksingh4@gmail.com.ORCID http://orcid.org/0000-0002-7753-8517
National Research Centre on Plant Biotechnology · INIndian Council of Agricultural Research · INIndian Institute of Pulses Research · INIndian Institute of Wheat and Barley Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeat stress is one of the major abiotic threats to rice production, next to drought and salinity stress. Incidence of heat stress at reproductive phase of the crop results in abnormal pollination leading to floret sterility, low seed set and poor grain quality. Identification of QTLs and causal genes for heat stress tolerance at flowering will facilitate breeding for improved heat tolerance in rice. In the present study, we used 272 F

resultsTo enable precise phenotyping for heat stress tolerance, we used a controlled phenotyping facility available at ICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Based on 'days to 50% flowering' data of the RILs, we followed staggered sowing to synchronize flowering to impose heat stress at uniform stage. Using the Illumina infinium 5K SNP array for genotyping the parents and the RILs, and stress susceptibility and stress tolerance indices (SSI and STI) of percent spikelet sterility and yield per plant (g), we identified five QTLs on chromosomes 3, 5, 9 and 12. The identified QTLs explained phenotypic variation in the range of 6.27 to 21. 29%. Of these five QTLs, two high effect QTLs, one novel (qSTIPSS9.1) and one known (qSTIY5.1/qSSIY5.2), were mapped in less than 400 Kbp genomic regions, comprising of 65 and 54 genes, respectively.

conclusionsThe present study identified two major QTLs for heat tolerance in rice in narrow physical intervals, which can be employed for crop improvement by marker assisted selection (MAS) after development of suitable scorable markers for breeding of high yielding heat tolerant rice varieties. This is the first report of a major QTL for heat tolerance on chromosome 9 of rice. Further, a known QTL for heat tolerance on chromosome 5 was narrowed down from 23 Mb to 331 Kbp in this study.

Indexed as

Heat toleranceNagina22QTL mappingRiceSNP

Identifiers

PMID28584974
PMCPMC5459777
OpenAlexW2624203226

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LicenceCC BY
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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.