Evidence map›Paper›PMID 38988541›Full record

ArticleHeliyon2024

Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (

Destaw Mullualem, Alemu Tsega, Tesfaye Mengie, Desalew Fentie, Zelalem Kassa, Amare Fassil, Demekech Wondaferew, Temesgen Assefa Gelaw, Tessema Astatkie

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

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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.

Destaw MullualemDepartment of Biology, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia.
Alemu TsegaDepartment of Biology, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia.
Tesfaye MengieDepartment of Biology, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia.
Desalew FentieDepartment of Plant Science, College of Agriculture, Food and Climate Science, Injibara University, 40, Injibara, Ethiopia.
Zelalem KassaDepartment of Plant Science, College of Agriculture, Food and Climate Science, Injibara University, 40, Injibara, Ethiopia.
Amare FassilDepartment of Biology, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia.
Demekech WondaferewDepartment of Plant Science, College of Agriculture, Food and Climate Science, Injibara University, 40, Injibara, Ethiopia.
Temesgen Assefa GelawDepartment of Biotechnology, College of Agriculture and Natural Resource Sciences, Debre Birhan University, Debre Birhan, Ethiopia.
Tessema AstatkieFaculty of Agriculture, Dalhousie University, Truro, Nova Scotia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bread wheat is a vital staple crop worldwide; including in Ethiopia, but its production is prone to various environmental constraints and yield reduction associated with adaptation. To identify adaptable genotypes, a total of 12 bread wheat genotypes (G1 to G12) were evaluated for their genotype-environment interaction (GEI) and stability across three different environments for two years using Additive Main Effect and Multiplicative Interaction (AMMI) and genotype main effect plus genotype-by-environment interaction (GGE) biplots analysis. GEI is a common phenomenon in crop improvement and is of significant importance in genotype assessment and recommendation. According to combined analysis of variance, grain yield was considerably impacted by environments, genotypes, and GEI. AMMI and GGE biplots analysis also provided insights into the performance and stability of the genotypes across diverse environmental conditions. Among the 12 genotypes, G6 was selected by AMMI biplot analysis as adaptive and high-yielding genotype; G5 and G7 demonstrated high stability and minimal interaction with the environment, as evidenced by their IPCA1 values. G7 was identified as the most stable and high-yielding genotype. The GGE biplot's polygon view revealed that the highest grain yield was obtained from G6 in environment three (E3). E3 was selected as the ideal environment by the GGE biplot. The top three stable genotypes identified by AMMI stability value (ASV) were G5, G7, and G10, while the most stable genotype determined by Genotype Selection Index (GSI) was G7. Even though G6 was a high yielder, it was found to be unstable according to ASV and ranked third in stability according to GSI. Based on the study's findings, the GGE biplot genotype view for grain yield identified Tay genotype (G6) to be the most ideal genotype due to its high grain yield and stability in diverse environments. G7 showed similar characteristics and was also stable. These findings provide valuable insights to breeders and researchers for selecting high-yielding and stable, as well as high-yielding specifically adapted genotypes.

Indexed as

AMMIBread wheatGenotype-by-environment interactionGGE biplotGrain yieldStability

Identifiers

PMID38988541
PMCPMC11234031

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.