Socioeconomic profile of sheep farmers and environmental aspects of beef sheep farming in the Santarém and Mojuí dos Campos municipalities of Pará state, Brazil

In this study, we aimed to describe the socioeconomic profile of sheep farmers and the environmental aspects involving the raising of beef sheep in the municipalities of Santarém and Mojuí dos Campos, Pará State, Brazil. This research was carried out by means of an in loco interview, which collected data from 21 sheep farmers. Here, we present for the first time the overview of the breeding system in these municipalities, the data revealed that 90.47% of the breeders were men, most have a complete college education, none of the producers participate in social programs and end up raising sheep by family influence. Even so, more than 60% of the breeders use beef sheep farming as their main source of income. The system most used on the properties was the semi-extensive system, with feed supplementation offered in troughs. An important fact is that only three properties end up using permanent protection areas in the production system. The biggest costs associated are in feed supplementation and diseases, It is notorious for the lack of technical support from entities that promote production, improvement and guidance about the production of supplementary feeding on the property.

Authors

Institutions

Publication Details

Journal
Revista Sítio Novo
Published
2024-12-20
DOI
https://doi.org/10.47236/2594-7036.2024.v8.i3.6-15p
Primary Topic
Rural Development and Agriculture
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Socioeconomic profile of sheep farmers and environmental aspects of beef sheep farming in the Santarém and Mojuí dos Campos municipalities of Pará state, Brazil

Tássio Alves Coêlho, Alanna do Socorro Lima da Silva, Darlison Chagas-de-Souza, Angela Cira Lima Queiroz
Revista Sítio Novo
Rural Development and Agriculture
article

Socioeconomic profile of sheep farmers and environmental aspects of beef sheep farming in the Santarém and Mojuí dos Campos municipalities of Pará state, Brazil

Tássio Alves Coêlho, Alanna do Socorro Lima da Silva, Darlison Chagas-de-Souza, Angela Cira Lima Queiroz
article en

Abstract

In this study, we aimed to describe the socioeconomic profile of sheep farmers and the environmental aspects involving the raising of beef sheep in the municipalities of Santarém and Mojuí dos Campos, Pará State, Brazil. This research was carried out by means of an in loco interview, which collected data from 21 sheep farmers. Here, we present for the first time the overview of the breeding system in these municipalities, the data revealed that 90.47% of the breeders were men, most have a complete college education, none of the producers participate in social programs and end up raising sheep by family influence. Even so, more than 60% of the breeders use beef sheep farming as their main source of income. The system most used on the properties was the semi-extensive system, with feed supplementation offered in troughs. An important fact is that only three properties end up using permanent protection areas in the production system. The biggest costs associated are in feed supplementation and diseases, It is notorious for the lack of technical support from entities that promote production, improvement and guidance about the production of supplementary feeding on the property.

Revista Sítio NovoVol. 8(3)
Universidade Federal do Oeste do Pará (BR), Universidade Federal do Amapá (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Zero hunger
Openalex Percentile: Top 64%
Rural Development and Agriculture
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.