Evidence map›Paper›PMID 32377042›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2020

Characterization of contrasting genotypes reveals general physiological and molecular mechanisms of heat-stress adaptation in maize (

Ishwar Singh, Suprokash Debnath, Anuradha Gautam, Pranjal Yadava

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In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Ishwar Singh *1Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, New Delhi, 110012 India.
Suprokash Debnath *1Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, New Delhi, 110012 India.
Anuradha Gautam1Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, New Delhi, 110012 India.
Pranjal Yadava1Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, New Delhi, 110012 India.
ICAR-Indian Institute of Maize Research · INIndian Council of Agricultural Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to dissect the adaptation response of maize to heat-stress, we characterized and juxtaposed different physio-biochemical parameters for two contrasting genotypes, namely DTPYC9F119 (heat-stress tolerant) and K64R (heat-stress susceptible) under 6 days heat treatment (38/28 °C). Chlorophyll a and b content was found to be reduced under high temperature in both the genotypes, but, it was reduced more prominently in the susceptible genotype (K64R). Net photosynthetic rate was significantly reduced under high temperature in K64R but this reduction was relatively lower in case of DTPYC9F119. Stomatal conductance was increased under stress treatment in both the genotypes but the rate of increase was lower in tolerant one (DTPYC9F119). Activity of anti-oxidant enzymes (viz. catalase, peroxidase and superoxide dismutase) and their gene expression was increased in both the genotypes under heat-stress condition. Thus, the heat-stress tolerant genotype has evolved some strategies like modulation of anti-oxidant gene expression, lower transpiration rate, lower increase of internal CO

Indexed as

Antioxidant genesHeat-stressMaizePhotosynthesis

Identifiers

PMID32377042
PMCPMC7196591
OpenAlexW3017273850

What OpenQuestion holds

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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.