Evidence map›Paper›PMID 40299160›Full record

ArticleTropical animal health and production2025

Characterizing sheep farming systems to improve sustainability approaches and enhance policy implementation.

Khayra Aouina, Mustapha Nabi, Karima Hadj Omar, Seddik Kebbal, Nadjet Amina Khelifi Touhami, Nassim Ouchene

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Article in Tropical animal health and production, 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

6 authors.

Khayra AouinaInstitute of Veterinary Sciences, Sâad Dahlab University of Blida, 1, Street Soumâa, BP 270, 09000, Blida, Algeria.
Mustapha NabiInstitute of Veterinary Sciences, Sâad Dahlab University of Blida, 1, Street Soumâa, BP 270, 09000, Blida, Algeria.
Karima Hadj OmarInstitute of Veterinary Sciences, Sâad Dahlab University of Blida, 1, Street Soumâa, BP 270, 09000, Blida, Algeria.
Seddik KebbalInstitute of Veterinary Sciences, Sâad Dahlab University of Blida, 1, Street Soumâa, BP 270, 09000, Blida, Algeria.
Nadjet Amina Khelifi TouhamiInstitute of Veterinary Sciences, Sâad Dahlab University of Blida, 1, Street Soumâa, BP 270, 09000, Blida, Algeria. khelifi_nadjet@univ-blida.dz.
Nassim OucheneInstitute of Veterinary Sciences, Sâad Dahlab University of Blida, 1, Street Soumâa, BP 270, 09000, Blida, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diversity of agricultural systems calls for tailored policies, yet they often remain too generic. In the case of sheep production, vital to many countries' economies, genetic improvement requires in-depth analysis, classification of systems, and identification of specific features to develop effective, context-specific strategies. In this context, the study aims to characterize sheep production systems in order to improve sustainability practices and enhance policy implementation. This survey was carried outin 64 sheep farms located across 15 municipalities in the M'sila region;center Algeria, which is renowned for its sheep farming tradition that has lasted for centuries.Multivariate analyses play a crucial role in delineating the intricacies of the sheep farming system. Factors such as herd size, farming systems, sheephold, batching, and breed are pivotal considerations in studies pertaining to the sheep farming system, given their notable discriminant power. In addition to these variables, elements such as the profile, intellectual level, and age of breeders, the significance of sheep farming to breeders, hygiene practices, estrus management, and timing of mating emerged as key determinants in characterizing the farming systems within the M'Sila region. This study highlights the complexity and diversity of sheep farming systems in the M'Sila region, emphasizing the need for tailored policies based on detailed system analysis. The salient findings of this research provide a robust model for policy formulation. They underscore that effective, context-specific policies must integrate both technical and socio-economic factors to address the unique challenges of sheep farming. By tailoring strategies to local conditions and emphasizing genetic improvement, sustainability practices, and rigorous management, these insights can serve as a powerful policy instrument to enhance the resilience and productivity of sheep production systems globally.

Indexed as

Animal HusbandrySheep, DomesticAlgeriaAnimalsBreedingFarmsFemaleSheepSurveys and QuestionnairesM’SilaPolicy developmentSheep farmersSheep production systemTypology

Identifiers

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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.