Evidence map›Paper›PMID 31003597›Full record

ArticleBMC plant biology2019

Genome-wide association studies of seven agronomic traits under two sowing conditions in bread wheat.

Muhammad Jamil, Aamir Ali, Alvina Gul, Abdul Ghafoor, Abdul Aziz Napar, Amir M H Ibrahim, Naima Huma Naveed, Nasim Ahmad Yasin, Abdul Mujeeb-Kazi

Abstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

47 citing papers in PubMed.

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  16. Genome-Wide Association Analysis for Hybrid Breeding in Wheat.International journal of molecular sciences · 2022
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  19. GWAS for main effects and epistatic interactions for grain morphology traits in wheat.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
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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

9 authors.

Muhammad JamilDepartment of Botany, University of Sargodha, Sargodha, Punjab, Pakistan. jshahid80@yahoo.com.ORCID http://orcid.org/0000-0002-5416-5471
Aamir AliDepartment of Botany, University of Sargodha, Sargodha, Punjab, Pakistan.
Alvina GulAtta-ur-Rehman School of Applied Biosciences (ASAB), National University of Science and Technology (NUST), Islamabad, Pakistan.
Abdul GhafoorPlant Genetic Resources Institute (PGRI), National Agriculture Research Center (NARC), Islamabad, Pakistan.
Abdul Aziz NaparInstitute of Plant Sciences, University of Sind Jamshoro, Sind, Pakistan.
Amir M H IbrahimSoil and Crop Sciences Department, Texas A&M University, College Station, USA.
Naima Huma NaveedDepartment of Botany, University of Sargodha, Sargodha, Punjab, Pakistan.
Nasim Ahmad YasinHorticulture Wing, University of the Punjab, Lahore, Pakistan.
Abdul Mujeeb-KaziTexas A&M Agrilife Research & Extension Center, Amarillo, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWheat is a cool seasoned crop requiring low temperature during grain filling duration and therefore increased temperature causes significant yield reduction. A set of 125 spring wheat genotypes from International Maize and Wheat Improvement Centre (CIMMYT-Mexico) was evaluated for phenological and yield related traits at three locations in Pakistan under normal sowing time and late sowing time for expose to prolonged high temperature. With the help of genome-wide association study using genotyping-by-sequencing, marker trait associations (MTAs) were observed separately for the traits under normal and late sown conditions.

resultsSignificant reduction ranging from 9 to 74% was observed in all traits under high temperature. Especially 30, 25, 41 and 66% reduction was observed for days to heading (DH), plant height (PH), spikes per plant (SPP) and yield respectively. We identified 55,954 single nucleotide polymorphisms (SNPs) using genotyping by sequencing of these 125 hexaploid spring wheat genotypes and conducted genome-wide association studies (GWAS) for days to heading (DH), grain filled duration (GFD), plant height (PH), spikes per plant (SPP), grain number per spike (GNS), thousand kernel weight (TKW) and grain yield per plot (GY). Genomic regions identified through GWAS explained up to 13% of the phenotypic variance, on average. A total of 139 marker-trait associations (MTAs) across three wheat genomes (56 on genome A, 55 on B and 28 on D) were identified for all the seven traits studied. For days to heading, 20; grain filled duration, 21; plant height, 23; spikes per plant, 13; grain numbers per spike, 8; thousand kernel weight, 21 and for grain yield, 33 MTAs were detected under normal and late sown conditions.

conclusionsThis study identifies the essential resource of genetics research and underpins the chromosomal regions of seven agronomic traits under normal and high temperature. Significant relationship was observed between the number of favored alleles and trait observations. Fourteen protein coding genes with their respective annotations have been searched with the sequence of seven MTAs which were identified in this study. These findings will be helpful in the development of a breeder friendly platform for the selection of high yielding wheat lines at high temperature areas.

Indexed as

AgricultureGenome, PlantGenome-Wide Association StudyQuantitative Trait, HeritableAllelesBreadGenes, PlantGenetic MarkersGenotypeLinkage DisequilibriumPhenotypePhysical Chromosome MappingPrincipal Component AnalysisTriticumGenetic MarkersGenotyping-by-sequencingGWASHeat toleranceSNPsWheat

Identifiers

PMID31003597
PMCPMC6475106

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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.