Role of technological innovation in livestock breeding programmes: a case of cereal-sheep system

Abstract

Farming suffers from a crisis based on lack of profitability. This situation is more relevant in small farms. Farmers have implemented local breeding programmes that have shown good results in terms of biodiversity preservation, increase of technological innovation and improvements in farm’s viability. The objective of this study is to compare technological characteristics among groups of farms, according to their breeding programmes and the viability of dairy sheep system. Furthermore, the role of technologies by means of a canonical discriminant model was analysed. The information from 157 dairy sheep farms in Castilla La Mancha, Spain was used. Technologies were grouped in six technological areas: Management, animal feeding, animal health and biosecurity, land use, milking equipment and dairy, reproduction and genetic. Four canonical discriminant models have been used to classify farms according to technological indicators [Model 1], structural [Model 2], productive [Model 3] and a global model including all the variables (18) [Model 4], by considering the genetic programme and their viability. Afterwards, the relationship among the discriminated groups was analysed using cluster analysis. The canonical model built according to the set of technologies classified a 69.43% of farms [Model 1]. Therefore, the farms that implement a breeding programme (BP) increase the likelihood of viability. First, BP requires higher levels of technological innovation in management and genetics-reproduction. Then, such advances should be implemented in milking equipment and animal health and biosecurity. To conclude, BP is a key factor in the success of technological adoption.Highlights Technology adoption plays a strategical role in sheep production systems. Breeding program promotes higher global technological level. Likelihood of viability in dairy sheep farms increases with implementation of a breeding program.

Keywords

• mixed system
• process management
• viability
• competitiveness
• livestock improvement