Evidence map›Paper›PMID 41216497›Full record

ArticleScientifica2025

Evaluation of Yield Stability in Finger Millet (

Hailemariam Solomon Demissie, Chalachew Endalamaw Engida

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

2 authors.

Hailemariam Solomon DemissieEthiopian Institute of Agricultural Research, Melkassa Agricultural Research Centre, Adama, Ethiopia.ORCID https://orcid.org/0000-0002-6504-2573
Chalachew Endalamaw EngidaDepartment of Plant Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-5109-724X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finger millet is commonly cultivated in the semiarid tropics, where it is primarily grown by subsistence farmers. However, grain yield remains low due to the complex quantitative nature of the trait and its low heritability. Therefore, genotype × environment interaction (GEI) significantly influences yield production. This study investigates the impact of GEI on the performance of finger millet genotypes across multiple environments, emphasizing the crop's sensitivity to climate variability. The objectives of this study were to evaluate the effects of genotype, environment, and GEI on yield and identifying high-yielding stable genotypes. Multienvironment trials (METs) were conducted at Axum, Negele Arsi, and Assosa during the 2018 and 2019 in summer cropping seasons utilizing row-column designs and advanced statistical analyses, including additive main effects and multiplicative interaction (AMMI) and genotype and genotype × environment interaction (GGE) biplot analyses. AMMI analysis indicated substantial environmental effects, with interaction principal component axes accounting for over 80% of the GEI. The GGE biplot identified the relationships between environments, highlighting specific genotypes that are optimal for each environment. Genotype G

Indexed as

AMMI modelfinger milletGGE biplotgrain yield stability

Identifiers

PMID41216497
PMCPMC12597232

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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.