Typification and Characterization of Different Livestock Production Systems of Mediterranean Dairy Sheep Farms with Different Degrees of Intensification: A Comparative Study
Manuel Gonzalez-Ronquillo,
Lizbeth E. Robles-Jimenez,
Jorge Osorio Avalos,
Isabel Revilla,
Cristina Hidalgo-González,
Pilar Rodriguez,
Jaime Nieto,
Javier Plaza,
Carlos Palacios Riocerezo
Affiliations
Manuel Gonzalez-Ronquillo
Facultad de Medicina Veterinaria y Zootecnia, Instituto Literario 100, Universidad Autonoma del Estado de Mexico, Toluca 50000, Mexico
Lizbeth E. Robles-Jimenez
Facultad de Medicina Veterinaria y Zootecnia, Instituto Literario 100, Universidad Autonoma del Estado de Mexico, Toluca 50000, Mexico
Jorge Osorio Avalos
Facultad de Medicina Veterinaria y Zootecnia, Instituto Literario 100, Universidad Autonoma del Estado de Mexico, Toluca 50000, Mexico
Isabel Revilla
Escuela Politécnica Superior de Zamora, Universidad de Salamanca, Av. de Requejo, 33, 49029 Zamora, Spain
Cristina Hidalgo-González
Facultad de Ciencias Económicas y Empresariales, Universidad de León, Joaquín Gonzalez Vecín, 24007 Leon, Spain
Pilar Rodriguez
Facultad de Ciencias Económicas y Empresariales, Universidad de León, Joaquín Gonzalez Vecín, 24007 Leon, Spain
Jaime Nieto
Facutad de Ciencias Agrarias y Ambientales, Universidad de Salamanca, Av. de Filiberto Villalobos, 119, 37007 Salamanca, Spain
Javier Plaza
Facutad de Ciencias Agrarias y Ambientales, Universidad de Salamanca, Av. de Filiberto Villalobos, 119, 37007 Salamanca, Spain
Carlos Palacios Riocerezo
Facutad de Ciencias Agrarias y Ambientales, Universidad de Salamanca, Av. de Filiberto Villalobos, 119, 37007 Salamanca, Spain
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.
