Assessment of livestock husbandry practices and production constraints among smallholder mixed crop-livestock production systems in the Majang zone, southwest Ethiopia

Livestock production plays a significant role in improving the livelihoods of poor smallholder farmer households in the Majang zone. However, despite its importance, there is limited information on husbandry practices and constraints on livestock production to design and implement effective interventions to maximize productivity. The aim of this study was to assess husbandry practices and major constraints on livestock production in the Majang zone, southwest Ethiopia. A semi-structured questionnaire was used to collect data from a randomly selected sample of 168 households (HHs) through a face-to-face interview from January to May 2021. The results revealed that mixed crop-livestock farming is the dominant livestock production system in the study area. The overall average herd size per household (HH) was 2.15 ± 0.11 cattle, 0.15 ± 0.01 sheep, 0.31 ± 0.09 goats, 0.10 ± 0.02 donkey, 0.04 ± 0.00 mule, 0.13 ± 0.02 horses and 0.24 ± 0.02 chickens. Overall herd size did not differ significantly by AEZ except for sheep (p < 0.05). The primary reason for keeping cattle, goats, sheep, equines and poultry were milk production (27.4 %), meat for home consumption (33.9 %), cash income (33.3 %), transportation (85.1 %), and meat for home consumption (72 %), respectively. In the dry and wet seasons, natural pasture, crop residues, indigenous fodder trees and shrubs (IFTSs), nonconventional feed resources (NCFRs), crop stubbles and improved forages were the main livestock feed resources. The majority (60.1 %) of respondents practiced free-grazing systems. Separate sheds, family dwellings, kraals, and open-walled sheds were the main housing systems used for animals. The majority (79.2 %) of respondents used rivers as a source of livestock drinking water. Trypanosomiasis (18.45 %), African horse sickness (66.1 %) and Newcastle disease (47.02 %) were the most important diseases of livestock. Diseases (35.7 %), lack of access to artificial insemination (35.7 %) and inadequate veterinary services (11.3 %) were identified as the top three constraints limiting production. It is recommended that constraints identified by farmers should be considered in developing and implementing effective interventions to improve livestock productivity and their contribution to poverty alleviation in the study area.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-09-12
DOI
https://doi.org/10.1016/j.heliyon.2024.e37400
Citations
9
Primary Topic
Rangeland Management and Livestock Ecology
Type
article
Field-Weighted Citation Impact
6.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of livestock husbandry practices and production constraints among smallholder mixed crop-livestock production systems in the Majang zone, southwest Ethiopia

Zemene Worku, Belay Duguma, Shimelis Assefa
9 citations
Heliyon
Rangeland Management and Livestock Ecology
6.39
article

Assessment of livestock husbandry practices and production constraints among smallholder mixed crop-livestock production systems in the Majang zone, southwest Ethiopia

Zemene Worku, Belay Duguma, Shimelis Assefa
article en
9 citations

Abstract

Livestock production plays a significant role in improving the livelihoods of poor smallholder farmer households in the Majang zone. However, despite its importance, there is limited information on husbandry practices and constraints on livestock production to design and implement effective interventions to maximize productivity. The aim of this study was to assess husbandry practices and major constraints on livestock production in the Majang zone, southwest Ethiopia. A semi-structured questionnaire was used to collect data from a randomly selected sample of 168 households (HHs) through a face-to-face interview from January to May 2021. The results revealed that mixed crop-livestock farming is the dominant livestock production system in the study area. The overall average herd size per household (HH) was 2.15 ± 0.11 cattle, 0.15 ± 0.01 sheep, 0.31 ± 0.09 goats, 0.10 ± 0.02 donkey, 0.04 ± 0.00 mule, 0.13 ± 0.02 horses and 0.24 ± 0.02 chickens. Overall herd size did not differ significantly by AEZ except for sheep (p < 0.05). The primary reason for keeping cattle, goats, sheep, equines and poultry were milk production (27.4 %), meat for home consumption (33.9 %), cash income (33.3 %), transportation (85.1 %), and meat for home consumption (72 %), respectively. In the dry and wet seasons, natural pasture, crop residues, indigenous fodder trees and shrubs (IFTSs), nonconventional feed resources (NCFRs), crop stubbles and improved forages were the main livestock feed resources. The majority (60.1 %) of respondents practiced free-grazing systems. Separate sheds, family dwellings, kraals, and open-walled sheds were the main housing systems used for animals. The majority (79.2 %) of respondents used rivers as a source of livestock drinking water. Trypanosomiasis (18.45 %), African horse sickness (66.1 %) and Newcastle disease (47.02 %) were the most important diseases of livestock. Diseases (35.7 %), lack of access to artificial insemination (35.7 %) and inadequate veterinary services (11.3 %) were identified as the top three constraints limiting production. It is recommended that constraints identified by farmers should be considered in developing and implementing effective interventions to improve livestock productivity and their contribution to poverty alleviation in the study area.

HeliyonVol. 10(19)
Jimma University (ET)
Jimma University, College of Agriculture and Veterinary Medicine, Jimma University
Zero hunger
Openalex Percentile: Top 4%
Rangeland Management and Livestock Ecology
6.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.