Evidence map›Paper›PMID 27436910›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2016

Field level evaluation of rice introgression lines for heat tolerance and validation of markers linked to spikelet fertility.

V Vishnu Prasanth, Kumari Ramana Basava, M Suchandranath Babu, Venkata Tripura V G N, S J S Rama Devi, S K Mangrauthia, S R Voleti, N Sarla

Abstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Mapping quantitative trait loci for heat tolerance at the booting stage using chromosomal segment substitution lines in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2017
    Article
  10. Article
  11. Trait and Marker Associations inFrontiers in plant science · 2017
    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

8 authors.

V Vishnu PrasanthICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.
Kumari Ramana BasavaICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.
M Suchandranath BabuICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.
Venkata Tripura V G NICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.
S J S Rama DeviICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.
S K MangrauthiaICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.
S R VoletiICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.
N SarlaICAR - Indian Institute of Rice Research (Directorate of Rice Research), Rajendranagar, Hyderabad, Telangana 500030 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice lines derived from wild species and mutants can serve as a good resource for favorable alleles for heat tolerance. In all, 48 stable lines including 17 KMR3/O. rufipogon introgression lines (KMR3 ILs), 15 Swarna/O. nivara ILs (Swarna ILs) along with their parents, Nagina 22 (N22) and its 4 EMS induced mutants and 7 varieties were evaluated for heat tolerance under irrigated conditions under field in two seasons, wet season 2012 using poly cover house method and dry season 2013 using late sown method. Spikelet fertility (SF), yield per plant (YP) and heat susceptibility index (HSI) for these two traits were considered as criteria to assess heat tolerance compared to control. Four KMR3 ILs and eight Swarna ILs were identified as heat tolerant based on SF and YP and their HSIs in both wet and dry seasons. S-65 and S-70 showed low SF and high YP consistently in response to heat in both seasons. We provide evidence that SF alone may not be the best criterion to assess heat tolerance and including YP is important as lines with low SF but high YP and vice versa were identified under heat stress. Out of 49 SSR markers linked to spikelet fertility, 18 were validated for five traits. RM229 in wet season and RM430 and RM210 in dry season were significantly associated with both SF and its HSI under heat stress. RM430 was also significantly associated with both YP and its HSI in dry season. Thirty two candidate genes were identified close to nine markers associated with traits under heat stress.

Indexed as

Association mappingHeat stressHeat susceptibility indexIntrogression linesSpikelet fertilityWild rice

Identifiers

PMID27436910
PMCPMC4938818

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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.