Evidence map›Paper›PMID 41025052›Full record

ArticlePeerJ2025

Selection of suitable wheat genotypes under thermal stress and complex genotype-environment interaction using stability analyses and selection indices.

Abdelhalim Ghazy, Walid Ben Romdhane, Majed Alotaibi, Abdullah Al-Doss, Omar Dahrog, Nasser Al-Suhaibani, Abdullah Ibrahim, Adel M Al-Saif, Khalid A Al-Gaadi, Ahmed M Zeyada and 2 more

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Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Abdelhalim GhazyDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Walid Ben RomdhaneDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Majed AlotaibiDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Abdullah Al-DossDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Omar DahrogDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Nasser Al-SuhaibaniDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Abdullah IbrahimDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Adel M Al-SaifDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Khalid A Al-GaadiDepartment of Agricultural Engineering, King Saud University, Riyadh, Saudi Arabia.
Ahmed M ZeyadaDepartment of Agricultural Engineering, King Saud University, Riyadh, Saudi Arabia.
Khalid F AlmutairiDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.
Ibrahim Al-AshkarDepartment of Plant Production, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermal stress is a consequence of climate change that threatens food security, causes plant tissue damage, and harms crop production, particularly during the pollination and fertilization period and in grain-filling stages negatively impacting the number of grains, grain size, and quality. Genotype-environment interaction (GEN: ENV) complicates the selection of optimal wheat genotypes due to the complex genetic basis of yield under varying conditions. Diversified approaches were put forth in response to the pressing demand for simultaneous enhancements in high-yield performance combined with stability. This study investigates the selection of ideal wheat genotypes under thermal stress and complex GEN: ENV using stability analyses and selection indices to assess genotype performance and stability. Twenty wheat genotypes were evaluated across optimal conditions (OC) and thermal stress conditions (TSC) over three growing seasons with six ENVs. Results demonstrated significant GEN: ENV, revealing genetic variations in thermal tolerance. The additive main effects and multiplicative interaction (AMMI2) biplot indicated a combined variance of 99.00%, and eleven genotypes showed stable grain yield (GY) with six ENVs, three (G05, G09, and G17) were more stable. The G04, G05, G06, G09, and G18 genotypes were chosen for GY as perfect (stable and high-performance) genotypes by weighted average of absolute scores biplot (WAASB) and were also identified as the best genotypes group by WAASB-GY, with the exception of G18. Ten selection indices showed significant positive associations under GY

Indexed as

Gene-Environment InteractionGenotypeTriticumClimate ChangeHot TemperaturePlant BreedingMulti-environment trialsSelection indicesThermal stressWheat breeding

Identifiers

PMID41025052
PMCPMC12476864

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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.