Evidence map›Paper›PMID 40743269›Full record

ArticlePloS one2025

An analysis of knowledge, attitude and practice gaps in scientific buffalo husbandry.

Gururaj Makarabbi, Aiswarya Sabu, Navneet Saxena, Madan Lal Sharma

Abstract read
In one paragraph

Article in PloS one, 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

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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

4 authors.

Gururaj MakarabbiIndian Council of Agricultural Research-Central Institute for Research on Buffaloes (ICAR-CIRB), Hisar, Haryana, India.
Aiswarya SabuIndian Council of Agricultural Research-Central Institute for Research on Buffaloes (ICAR-CIRB), Hisar, Haryana, India.
Navneet SaxenaIndian Council of Agricultural Research-Central Institute for Research on Buffaloes (ICAR-CIRB), Hisar, Haryana, India.
Madan Lal SharmaIndian Council of Agricultural Research-Central Institute for Research on Buffaloes (ICAR-CIRB), Hisar, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Buffalo husbandry remains vital to India's dairy sector, yet adoption gaps hinder productivity. This study assesses knowledge, attitudes, and practices (KAP) among 380 buffalo farmers in India, revealing critical disparities. While awareness was relatively high in key areas-heat detection (79.4%), mastitis identification (77.4%), and balanced feed (77.9%)-practice rates lagged severely (32.9-44.7%), with the widest gap in silage-making (71.5% awareness vs. 32.9% adoption, a 38.6-point deficit). Cluster analysis identified five farmer segments, highlighting adoption disparities: smallholders (36.8% of the sample) practised only 25% of techniques despite moderate knowledge, while commercial farmers (7.9%) achieved 90.5% adoption. Chi-square tests confirmed education (OR=3.4, p < 0.001) and herd size (OR=2.4, p < 0.01) as the strongest KAP predictors, with logistic regression underscoring income's pivotal role (OR=4.3 for practices). In order to bridge gaps, the study proposes three strategies: (1) targeted training for smallholders through farmer groups, (2) subsidized input bundles (feed, minerals) paired with mobile-based advisories, and (3) market incentives for quality milk to reward adoption. Findings stress the need to replace blanket extension approaches with segmented interventions addressing structural barriers (credit, vet access) and attitudinal resistance (silage scepticism, vaccine hesitancy). Policy action should prioritize doubling frontline extension staff and integrating cooperatives with digital tools to scale solutions.

Indexed as

Animal HusbandryBuffaloesFarmersHealth Knowledge, Attitudes, PracticeAdultAnimalsDairyingFemaleHumansIndiaMaleSurveys and Questionnaires

Identifiers

PMID40743269
PMCPMC12312951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.