New Value to Wool: Innovative Garments for Preservation of Sheep Landraces in Italy.

In Basilicata, southern Italy, a sheep landrace jeopardized of extinction is Gentile di Puglia due to low production levels, low market values of milk and meat, and replacement of wool with synthetic fibers. Due to these dynamics farmers progressively resort to intensive breeding systems, hence causing the gradual disappearance of the ovine sector, the withering of traditional breeding culture and the abandonment of internal and marginal territories. However, in changing climate, traditional agriculture is getting increased attention worldwide by the consumers who are embracing emerging sustainable food production. Thus, in the light of a possible conservation strategy, the study investigates the prospective market for a garment (pullover) produced with wool from Gentile di Puglia, and woven through traditional techniques. An integrated methodological approach based on choice experiments and Bass diffusion model was carried out in order to analyze the consumers' preferences, the penetration market of this innovative product and the new wool value for farmers. The results pointed out a potential demand focused on women aged 50 years and more and a recognized wool value to farmers of 55 € animal-1 (22 € kg-1). This new revenue could allow the reduction of the difference in gross margin between the Gentile di Puglia and the non-autochthonous intensively-farmed Comisana from 57% to 3%. The production of further wool garments for a wider demand could increase the economic sustainability of Gentile di Puglia, making it even more preferable than other highly productive breeds.

How does the land market capitalize environmental, historical and cultural components in rural areas? Evidences from Italy.

Farmland can supply a wide variety of ecosystem services, i.e. provision of food and fibre, as well as regulating, supporting, recreational, aesthetic and cultural services. In addition, farmland can be characterized by the presence of anthropic elements, i.e. archaeological sites and historical rural buildings, from which the community can obtain further non-material benefits, namely cultural heritage values, recreation and tourism, etc. However, all these services and land components can be strongly influenced by different levels of farming intensity, a condition that can damage their capacity to supply the related functions (public goods). Such land-market failures could be adjusted by acquiring information on how the above non-farming characteristics, i.e. environmental, historical and cultural determinants, are capitalized in farmland value when farming intensity varies. To this aim, a real estate survey was carried out in Italy in order to investigate the land market of traded farms cultivated under specific crops and located in two areas with different levels of farming intensity. The analysis considered farming and non-farming determinants of selling price and used a hedonic model method based on the ordinary least squares regression corrected for spatial autocorrelation. The results highlighted that the farming determinants were capitalized in selling price as expected in both areas, while the impacts of the non-farming characteristics were extremely diversified between the areas. In the extensively farmed area, the environmental, historical and cultural determinants tended to be positively capitalized, thus favouring their preservation. However, in the intensively farmed area, these were positively or negatively capitalized according to whether or not their overexploitation could allow increased yields, respectively. In yet other cases, some non-farming determinants were not capitalized at all in either area. These trends provided useful insights for the design of ad hoc market-based schemes able to enhance land market functioning and the maintenance of these components in agricultural areas with different levels of farming intensity.

A Robust DNA Isolation Protocol from Filtered Commercial Olive Oil for PCR-Based Fingerprinting.

Extra virgin olive oil (EVOO) has elevated commercial value due to its health appeal, desirable characteristics and quantitatively limited production, and thus it has become an object of intentional adulteration. As EVOOs on the market might consist of a blend of olive varieties or sometimes even of a mixture of oils from different botanical species, an array of DNA-fingerprinting methods have been developed to check the varietal composition of the blend. Starting from a comparison between publicly available DNA extraction protocols, we set up a timely, low-cost, reproducible and effective DNA isolation protocol, which allows an adequate amount of DNA to be recovered even from commercial filtered EVOOs. Then, in order to verify the effectiveness of the DNA extraction protocol herein proposed, we applied PCR-based fingerprinting methods starting from the DNA extracted from three EVOO samples of unknown composition. In particular, genomic regions harboring nine simple sequence repeats (SSRs) and eight genotyping-by-sequencing-derived single nucleotide polymorphism (SNP) markers were amplified for authentication and traceability of the three EVOO samples. The whole investigation strategy herein described might favor producers in terms of higher revenues and consumers in terms of price transparency and food safety.

Impact of Mycobacterium avium subspecies paratuberculosis on profit efficiency in semi-extensive dairy sheep and goat farms of Apulia, southern Italy.

A recent study on paratubercolosis in semi-extensive dairy sheep and goat farms in Apulia revealed a flock positivity of 60.5% and a seroprevalence of 3.0% for sheep and 14.5% for goat, with peaks of 50%. In such a context, providing detailed economic information is crucial for the implementation of a suitable control plan. In this paper we investigated the impact of Mycobacterium avium subspecies paratuberculosis (MAP) on profit efficiency of the Apulian dairy sheep and goat farms. Empirical results through a stochastic frontier model showed that the uninfected farms had a mean level of profit efficiency of 84%, which dropped to 64% in the presence of paratubercolosis as it negatively affected the productivity of feeding, veterinary and labour factors. Structural, managerial and production aspects were involved in the greater inefficiency of the infected farms compared to the uninfected ones: lower experience and schooling of farmers, no access to credit, fewer family members (women in particular) participating in the farming activities, high density of animals per hectare, small flocks, high number of goats in mixed flocks, no confinement practices for young and purchased animals and no pasture rotation. Hence, targeted interventions on these factors by decision makers can ensure effectiveness and efficiency to veterinary and economic action plans.