Evidence map›Paper›PMID 40041690›Full record

ArticleScientifica2025

Characterization of Genetic and Agromorphological Variation in 30 Soybean (

Vincent Ezin, Fatimata Bachabi, Florida Corolle Mintodè Dubogan, Wassiou Ahanchede, Gazali B T A Sanni, Mohamed Salim Moussa, Adam Ahanchede

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Vincent EzinDepartment of Crop Production, Faculty of Agricultural Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Benin.ORCID https://orcid.org/0000-0001-6917-1033
Fatimata BachabiAfrica Rice Center, Germplasm Health Unit, 01 BP 2551, Bouake 01, Côte d'Ivoire.ORCID https://orcid.org/0000-0002-6063-0421
Florida Corolle Mintodè DuboganDepartment of Crop Production, Faculty of Agricultural Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Benin.
Wassiou AhanchedeDepartment of Crop Production, Faculty of Agricultural Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Benin.
Gazali B T A SanniDepartment of Crop Production, Faculty of Agricultural Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Benin.ORCID https://orcid.org/0009-0001-4920-0578
Mohamed Salim MoussaDepartment of Crop Production, Faculty of Agricultural Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Benin.
Adam AhanchedeDepartment of Crop Production, Faculty of Agricultural Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Benin.ORCID https://orcid.org/0000-0002-1664-1828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean is a highly nutritious and versatile food that is of great importance in world trade. It is a cash crop for farmers in Benin, grown almost everywhere. However, soybean production faces several challenges, including low yields and disruptions due to weather conditions. Improving soybean production could enhance food security for the population and increase farmers' incomes. A study was conducted to assess the genetic and agromorphological variability of 30 soybean accessions. The study was carried out in a three-repeat alpha lattice design at two different sites in the South of Benin (E1) and North (E2). Qualitative and quantitative traits were collected during the experiments. The qualitative characteristics showed great variability, except for cotyledon color and the presence of pubescence and petiole. The results also showed that Accessions TGm-1199, TGX 1910-14, and TGm-1588 had the best yields in E1, whereas TGX 1951-3F, TGX 1910-14F, and TGm-1253 were found with the highest yields in E2. The phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all traits, and heritability in the broad sense ranged from 20% to 100%. The genetic parameters showed that selection programs can be effective for days to flowering, plant height, hundred-seed weight, seed thickness, seed length and width, days to harvest, pod length and width, and grain yield. The high genetic variability observed within soybean accessions indicates that genotypes could be selected and used as a crop improvement tool.

Indexed as

genetic variabilityGlycine maxlegumemultienvironmental trialsphenotypic traits

Identifiers

PMID40041690
PMCPMC11876527

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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.