Evidence map›Paper›PMID 34611557›Full record

ArticleHeliyon2021

Farmers' perceptions of fodder performances of pearl millet (

Hamadou Moussa, Valentin Kindomihou, Thierry D Houehanou, Mahamadou Chaibou, Oumarou Souleymane, Idrissa Soumana, Joseph Dossou, Brice Sinsin

Abstract read
In one paragraph

Article in Heliyon, 2021. 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

8 authors.

Hamadou MoussaNational Agricultural Research Institute of Niger, Niamey, Niger.
Valentin KindomihouLaboratory of Applied Ecology, Faculty of Agronomic Sciences, University of Abomey-Calavi, Calavi, Benin.
Thierry D HouehanouLaboratory of Applied Ecology, Faculty of Agronomic Sciences, University of Abomey-Calavi, Calavi, Benin.
Mahamadou ChaibouDepartment of Animal Production, Faculty of Agronomy, Abdou Moumouni University of Niamey, Niamey, Niger.
Oumarou SouleymaneNational Agricultural Research Institute of Niger, Niamey, Niger.
Idrissa SoumanaNational Agricultural Research Institute of Niger, Niamey, Niger.
Joseph DossouLaboratory of Bioengineering of Food Processes, Faculty of Agronomic Sciences, University of Abomey-Calavi, Calavi, Benin.
Brice SinsinLaboratory of Applied Ecology, Faculty of Agronomic Sciences, University of Abomey-Calavi, Calavi, Benin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about folk perception of pearl millet livestock fodder status across the Niger republic. Thus, this work assesses farmers' perceptions of the main pearl millet accessions fodder performance features in Niger. To that end, we: (i) Identify farmers' criteria for choosing pearl millet accessions fodder-profile, (ii) Analyze the farmer preferences for pearl millet accessions adapted to local cropping systems, and (iii) Analyze current cropping systems. Data have been derived from semi-structured surveys based on individual and focus group interviews of 508 stakeholders which were sampled from seven major ethnic groups across the eight country regions. Generated database was submitted to multivariate analysis in XLSTAT software. As results, the farmers' perception of a fodder profile may combine long and wide leaves, abundant tillers, slender stems, coupled to a large biomass and a plant capacity to regrow after grazing or mowing. Height accessions were agro-ecologically and socio-culturally chosen and valued by Farmers across the country, i.e.

Indexed as

AccessionsCropping systemFarmers' perceptionsFodder profileNigerPennisetum glaucum

Identifiers

PMID34611557
PMCPMC8477148

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.