Evidence map›Paper›PMID 38370242›Full record

ReviewHeliyon2024

Assessing yield performance and stability of local sorghum genotypes: A methodological framework combining multi-environment trials and participatory multi-trait evaluation.

Clarisse Pulchérie Kondombo, Pierre Kaboré, David Kambou, Issaka Ouédraogo

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Clarisse Pulchérie KondomboInstitut de l'Environnement et de Recherches Agricoles (INERA), BP 10 Koudougou, Burkina Faso.
Pierre KaboréOffice de Développement des Eglises Evangéliques (ODE), 01 BP 108 Ouagadougou 01, Burkina Faso.
David KambouInstitut de l'Environnement et de Recherches Agricoles (INERA), BP 10 Koudougou, Burkina Faso.
Issaka OuédraogoInstitut de l'Environnement et de Recherches Agricoles (INERA), BP 10 Koudougou, Burkina Faso.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

Farmers' preferencesGrain yield stabilityMega-environmentMulti-environment trialsSorghum

Identifiers

PMID38370242
PMCPMC10869773

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.