Evidence map›Paper›PMID 32942703›Full record

ArticlePlants (Basel, Switzerland)2020

Incredible Role of Osmotic Adjustment in Grain Yield Sustainability under Water Scarcity Conditions in Wheat (

Tahir Mahmood, Muhammad Abdullah, Sunny Ahmar, Muhammad Yasir, Muhammad Shahid Iqbal, Muhmmad Yasir, Shoaib Ur Rehman, Sulaiman Ahmed, Rashid Mehmood Rana, Abdul Ghafoor and 3 more

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 58 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

13 authors at 6 institutions in 3 countries.

Tahir MahmoodDepartment of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
Muhammad AbdullahDepartment of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
Sunny AhmarDepartment of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
Muhammad YasirDepartment of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
Muhammad Shahid IqbalDepartment of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.ORCID 0000-0001-5458-1179
Muhmmad YasirState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang (CAAS), Anyang 455000, China.
Shoaib Ur RehmanInstitute of Plant Breeding and Biotechnology Muhammad Nawaz Shareef University of Agriculture, Multan 60000, Pakistan.ORCID 0000-0002-9462-699X
Sulaiman AhmedNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China.ORCID 0000-0003-0581-4145
Rashid Mehmood RanaDepartment of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
Abdul GhafoorPakistan Agricultural Research Council (PARC), Islamabad 44000, Pakistan.ORCID 0000-0002-3079-1021
Muhammad Kausar Nawaz ShahDepartment of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
Xiongming DuState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang (CAAS), Anyang 455000, China.
Freddy Mora-PobleteInstitute of Biological Sciences, University of Talca, Talca 3460000, Chile.ORCID 0000-0002-4845-3549
Pir Mehr Ali Shah Arid Agriculture University · PKChinese Academy of Sciences · CNCotton Research Institute · CNMuhammad Nawaz Shareef University of Agriculture · PKPakistan Agricultural Research Council · PKUniversity of Talca · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interrogations of local germplasm and landraces can offer a foundation and genetic basis for drought tolerance in wheat. Potential of drought tolerance in a panel of 30 wheat genotypes including varieties, local landraces, and wild crosses were explored under drought stress (DS) and well-watered (WW) conditions. Considerable variation for an osmotic adjustment (OA) and yield components, coupled with genotype and environment interaction was observed, which indicates the differential potential of wheat genotypes under both conditions. Reduction in yield per plant (YP), thousand kernel weight (TKW), and induction of OA was detected. Correlation analysis revealed a strong positive association of YP with directly contributing yield components under both environments, indicating the impotence of these traits as a selection-criteria for the screening of drought-tolerant genotypes for drylands worldwide. Subsequently, the association of OA with TKW which contributes directly to YP, indicates that wheat attains OA to extract more water from the soil under low water-potential. Genotypes including WC-4, WC-8 and LLR-29 showed more TKW under both conditions, among them; LLR-29 also has maximum OA and batter yield comparatively. Result provides insight into the role of OA in plant yield sustainability under DS. In this study, we figure out the concept of OA and its incredible role in sustainable plant yield in wheat.

Indexed as

drought tolerancegrain weightosmotic adjustmentphysiological and morphological attributesscreening toolswheat (Triticum aestivum L.)yield sustainability

Identifiers

PMID32942703
PMCPMC7569908
OpenAlexW3085562071

What OpenQuestion 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 OpenQuestion graph.