ReviewHeliyon2024
Assessing yield performance and stability of local sorghum genotypes: A methodological framework combining multi-environment trials and participatory multi-trait evaluation.
Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.NAR genomics and bioinformatics · 2026Article
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.bioRxiv : the preprint server for biology · 2025Article
- Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Heliyon · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sorghum grain is a vital staple cereal crop for food and nutritional security for rural households in Burkina Faso. However, its yields are regularly affected by environmental and socio-economic constraints. Here, we aim to assess the performance and grain yield stability of local sorghum genotypes, as well as their acceptability by smallholder farmers. Nine genotypes were assessed across five environments in the North-Sudanian zone (700-900 mm) in Burkina Faso during the 2019, 2020, and 2021 rainy seasons. A randomized complete block with three replications was used to establish the experiments, from which data were collected on five quantitative traits as well as five participatory assessment criteria chosen by sorghum farmers and users. Grain yield analysis for each environment revealed significant differences between genotypes. The combined analysis showed highly significant differences between genotypes, environments and years, as well as their interactions. Most of the variation in grain yield was hexplained by the environment effect (29.0%), followed by the environment-by-year interaction (20.3%). The GGE biplot analysis identified two mega-environments (ME) with ME1 consisting of one environment (E1) and ME2, represented by four environments (E2, E3, E4, and E5). The E1 is a non-discriminating and poor environment with the lowest grain yield (1506 kg ha
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Registered trials
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