Evidence map›Paper›PMID 36733838›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2023

Physio-biochemical characterization of wheat genotypes under temperature stress.

Ankita Pandey, Mamrutha Harohalli Masthigowda, Rakesh Kumar, Girish Chandra Pandey, Sushma M Awaji, Gyanendra Singh, Gyanendra Pratap Singh

Abstract read
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Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ankita PandeyICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana 132001 India.ORCID 0000-0003-2562-1228
Mamrutha Harohalli MasthigowdaICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana 132001 India.ORCID 0000-0003-0242-5654
Rakesh KumarICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana 132001 India.ORCID 0000-0003-0811-5657
Girish Chandra PandeyBiosciences and Biotechnology, Banasthali Vidyapith, Banasthali, Rajasthan 304022 India.
Sushma M AwajiICAR-National Rice Research Institute, Cuttack, Odisha 753006 India.
Gyanendra SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana 132001 India.ORCID 0000-0002-8507-9138
Gyanendra Pratap SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana 132001 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermal stress is a major abiotic stress in wheat and is highly complex in mechanism. A large area in northwestern plain zones (NWPZ), which is the wheat bowl of India is affected by heat stress. Climate change also causes an abrupt increase in temperature at different growth stages of wheat. Thus, wiser selection of stress tolerant varieties is an important strategy to combat the climate change effect. The present study aims for physiological and biochemical screening of timely sown NWPZ wheat varieties (WB2, HD3086, DBW88, DPW621-50, DBW17, HD2967 and PBW550) of India for their thermal stress tolerance along with heat tolerant (RAJ3765) and susceptible checks (RAJ4014) at seedling stage. The experiment was conducted in completely randomized design under controlled laboratory condition and heat stress was induced at 37 °C at seedling stage. Later different physio-biochemical traits were studied in both control and stress seedlings. All traits exhibited significant variations among genotypes under heat stress condition. Root and shoot weight, relative water content, chlorophyll content index and chlorophyll fluorescence reduced significantly, whereas membrane leakage, osmotic potential, catalase, ascorbate peroxidase, guaiacol peroxidase, malondialdehyde content and proline content were increased in stress plants. A tolerance matrix was prepared based on stress response of the genotypes for each trait and a final tolerance score was given to each genotype. Based on this tolerance matrix, DBW88 and PBW550 were identified as tolerant, DPW621-50, DBW17 and HD2967 as moderately susceptible and HD3086 and WB2 as susceptible to heat stress. Earlier studies parade that seedling level stress tolerance has high correlation with adult level stress tolerance under field condition in wheat. Hence, this study helps in wiser selection of varieties for sowing in NWPZ based on weather forecast of the location for creating varietal mosaic in context of climate change.

Indexed as

AntioxidantsBiochemical traitsHeat stressPhysiological traitsSeedling stressWheat

Identifiers

PMID36733838
PMCPMC9886710

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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.