Typification and Characterization of Different Livestock Production Systems of Mediterranean Dairy Sheep Farms with Different Degrees of Intensification: A Comparative Study

It is necessary to study small-ruminant production systems in a spatial context, as different areas, depending on their natural, socioeconomic, and cultural context, will respond differently to the effects of such causal factors. The aim of this study was to analyze the relationships between technology use and farm and farmer characteristics in dairy sheep production by developing a farm typology using multivariate statistical analysis and comparing it with the multi-scale sustainability evaluation of the Natural Resource Management Systems (NRMS) method. Quantitative and qualitative data were evaluated and compared using the NRMS method and cluster analysis to identify groups of farms. Fourteen variables were considered for the analysis, resulting in four farm systems with the NRMS method, named Intensive, Semi-Intensive, Semi-Extensive, and Extensive; however, when analyzing the data by cluster analysis, the following clusters were used: Cluster 1, Semi-Extensive Dairy Systems (SEDSs); Cluster 2, Semi-Intensive Systems (SIDSs); Cluster 3, Semi-Extensive Cheese Systems (SECSs); and Cluster 4, Intensive Dairy Systems (IDSs). This study concludes that the traditional classification of dairy sheep farms based on their dependence on natural resources can be enriched by incorporating additional indicators that allow for a more comprehensive and accurate characterization of farms.

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Publication Details

Journal
Animals
Published
2025-02-06
DOI
https://doi.org/10.3390/ani15030448
Citations
4
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
3.44

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article

Typification and Characterization of Different Livestock Production Systems of Mediterranean Dairy Sheep Farms with Different Degrees of Intensification: A Comparative Study

İsabel Revilla, Jorge Osorio-Ávalos, Jaime Nieto, Cristina Hidalgo González et al.
4 citations
Animals
Sustainable Agricultural Systems Analysis
3.44
article

Typification and Characterization of Different Livestock Production Systems of Mediterranean Dairy Sheep Farms with Different Degrees of Intensification: A Comparative Study

İsabel Revilla, Jorge Osorio-Ávalos, Jaime Nieto, Cristina Hidalgo González, Lizbeth E. Robles Jimenez, Carlos Palacios, Javier Plaza, Pilar Navarro Rodríguez, Manuel González-Ronquillo
article en
4 citations

Abstract

It is necessary to study small-ruminant production systems in a spatial context, as different areas, depending on their natural, socioeconomic, and cultural context, will respond differently to the effects of such causal factors. The aim of this study was to analyze the relationships between technology use and farm and farmer characteristics in dairy sheep production by developing a farm typology using multivariate statistical analysis and comparing it with the multi-scale sustainability evaluation of the Natural Resource Management Systems (NRMS) method. Quantitative and qualitative data were evaluated and compared using the NRMS method and cluster analysis to identify groups of farms. Fourteen variables were considered for the analysis, resulting in four farm systems with the NRMS method, named Intensive, Semi-Intensive, Semi-Extensive, and Extensive; however, when analyzing the data by cluster analysis, the following clusters were used: Cluster 1, Semi-Extensive Dairy Systems (SEDSs); Cluster 2, Semi-Intensive Systems (SIDSs); Cluster 3, Semi-Extensive Cheese Systems (SECSs); and Cluster 4, Intensive Dairy Systems (IDSs). This study concludes that the traditional classification of dairy sheep farms based on their dependence on natural resources can be enriched by incorporating additional indicators that allow for a more comprehensive and accurate characterization of farms.

AnimalsVol. 15(3)
Universidad Autónoma del Estado de México (MX), Universidad de Salamanca (ES), Universidad de León (ES)
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
Responsible consumption and production
Openalex Percentile: Top 9%
Sustainable Agricultural Systems Analysis
3.44
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