Evidence map›Paper›PMID 33388036›Full record

ArticleBMC genomics2021

GWAS revealed effect of genotype × environment interactions for grain yield of Nebraska winter wheat.

Shamseldeen Eltaher, P Stephen Baenziger, Vikas Belamkar, Hamdy A Emara, Ahmed A Nower, Khaled F M Salem, Ahmad M Alqudah, Ahmed Sallam

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Comprehensive analysis of genomic loci associated with glaucousness in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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  17. Genetic analysis of yield components in buckwheat using high-throughput sequencing analysis and wild resource populations.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    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

8 authors.

Shamseldeen EltaherDepartment of Agronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, USA.
P Stephen BaenzigerDepartment of Agronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, USA.
Vikas BelamkarDepartment of Agronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, USA.
Hamdy A EmaraDepartment of Plant Biotechnology, Genetic Engineering and Biotechnology Research Institute (GEBRI), University of Sadat City (USC), Sadat City, Egypt.
Ahmed A NowerDepartment of Plant Biotechnology, Genetic Engineering and Biotechnology Research Institute (GEBRI), University of Sadat City (USC), Sadat City, Egypt.
Khaled F M SalemDepartment of Plant Biotechnology, Genetic Engineering and Biotechnology Research Institute (GEBRI), University of Sadat City (USC), Sadat City, Egypt.
Ahmad M AlqudahInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120, Halle (Saale), Germany.
Ahmed SallamDepartment of Genetics, Faculty of Agriculture, Assiut University, Assuit, 71526, Egypt. amsallam@aun.edu.eg.ORCID http://orcid.org/0000-0002-7811-728X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving grain yield in cereals especially in wheat is a main objective for plant breeders. One of the main constrains for improving this trait is the G × E interaction (GEI) which affects the performance of wheat genotypes in different environments. Selecting high yielding genotypes that can be used for a target set of environments is needed. Phenotypic selection can be misleading due to the environmental conditions. Incorporating information from phenotypic and genomic analyses can be useful in selecting the higher yielding genotypes for a group of environments.

resultsA set of 270 F

conclusionAlthough G × E interaction was present, the advances in DNA technology provided very useful tools and analyzes. Such features helped to genetically select the highest yielding genotypes that can be used to cross grain production in a group of environments.

Indexed as

Genome-Wide Association StudyTriticumEdible GrainGene-Environment InteractionGenotypeNebraskaPhenotypePlant BreedingAssociation mappingBread wheat (Triticum aestivum L.)Breeding programsGene annotationLDYield

Identifiers

PMID33388036
PMCPMC7778801

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.