ArticleScientific reports2025
Soybean selection in Kenya enhanced by multi-trait and genotype-by-environment interaction modeling.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Multi-trait model-based assessment of selection efficiency and stability in soybean germplasm.Journal of applied genetics · 2026Article
- Efficiency of indirect selection in sorghum breeding for target production environments in moisture deficit areas of Ethiopia.Scientific reports · 2026Article
- Envirotyping-driven strategies to enhance soybean adaptation across Southern Africa.Scientific reports · 2026Article
- Leveraging probabilistic models to enhance soybean cultivar recommendation in Zimbabwe.BMC plant biology · 2026Article
- High-resolution soybean trial data supporting the expansion of agriculture in Africa.Scientific data · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Funding
Abstract
The growing global demand for soybean protein is driving the expansion of cultivation into new agricultural frontiers. Kenya has been progressing in the development of soybean genotypes to identify those best adapted to its diverse agroecological conditions. However, the selection of genotypes with superior agronomic traits and high stability remains limited. This study quantified the magnitude of genotype-by-environment (G×E) interaction and selected genotypes with the best performance and stability based on a multi-trait approach. A total of 65 genotypes were evaluated across 19 environments from 2019 to 2023/24 growing seasons using a randomized complete block design. Stability was assessed using the Weighted Average of Absolute Scores index, considering plant height (PH), number of days to maturity (NDM), and grain yield (GY). Multi-trait selection was performed using the Desired Gain Index, applying a 20% selection intensity, followed by the genetic gain estimation. Using the likelihood ratio test, we identified significant effects of genotype, environment, and G×E interaction. The overall mean values observed in the experiments were 62.30 cm for PH, 120 days for NDM, and 1783.70 kg ha
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.