Precision Livestock Farming (PLF) applies a complex of sensor technology, algorithms, and multiple tools for individual, real-time livestock monitoring. In intensive livestock systems, PLF is now quite widespread, allowing for the optimisation of management, thanks to the early recognition of diseases and the possibility of monitoring animals’ feeding and reproductive behaviour, with an overall improvement of their welfare. Similarly, PLF systems represent an opportunity to improve the profitability and sustainability of extensive farming systems, including those of small ruminants, rationalising the use of pastures by avoiding overgrazing and controlling animals. Despite the livestock distribution in several parts of the world, the low profit and the relatively high cost of the devices cause delays in implementing PLF systems in small ruminants compared to those in dairy cows. Applying these tools to animals in extensive systems requires customisation compared to their use in intensive systems. In many cases, the unit prices of sensors for small ruminants are higher than those developed for large animals due to miniaturisation and higher production costs associated with lower production numbers. Sheep and goat farms are often in mountainous and remote areas with poor technological infrastructure and ineffective electricity, telephone, and internet services. Moreover, small ruminant farming is usually associated with advanced age in farmers, contributing to poor local initiatives and delays in PLF implementation. A targeted literature analysis was carried out to identify technologies already applied or at an advanced stage of development for the management of grazing animals, particularly sheep and goats, and their effects on nutrition, production, and animal welfare. The current technological developments include wearable, non-wearable, and network technologies. The review of the technologies involved and the main fields of application can help identify the most suitable systems for managing grazing sheep and goats and contribute to selecting more sustainable and efficient solutions in line with current environmental and welfare concerns.
The production of game meat is a proven way of promoting sustainable food, which is also consistent with the proper management of the expansion of the wild boar population in Italy. In the present study, we investigated consumer response to sensory attributes and consumer preference for ten types of “cacciatore” salamis prepared with different mixtures of wild boar/pork (30/50 or 50/50) and spice ingredients. PCA analysis showed a clear characterization of the salamis based on the first component with the hot pepper powder and fennel types differing from the others. For the second component, salamis without flavorings could be discriminated by those flavored with aromatized garlic wine or with black pepper only. The main findings of the hedonic test revealed that products with hot pepper and fennel seeds received the highest ratings, as well as satisfactory acceptance in the consumer test sensory analysis for eight out of ten products. The panelists and consumers’ ratings were influenced by the flavors used, but not by the ratio of wild boar to pork. This gives us the opportunity to produce more cost-effective and environmentally friendly products, as doughs with a high proportion of wild boar meat can be used without affecting product preference.
Small-medium dairy enterprises may verify the possibility to enhance their margins by shortening the supply chain. We propose a short sequence of marketing actions with the aim to support the inclusion of transformed goods into their productive process. These actions include the assessment of the main factors affecting consumer cheese purchase decision, evaluation of the validity of the association brand product, and identification of the preferred cheese format. Eighty-two consumers were selected. Their motives for purchasing pasta filata cheese were assessed using the food choice questionnaire. They were also asked to rate their preference for 4 different traditional pasta filata cheeses and 3 well-known local cheese brands. The frequency of consumption of 4 different Mozzarella cheese formats (standard Mozzarella, bite-size Mozzarella, cherries, knots or braids) was gathered. One-way ANOVA was used to analyze the food choice questionnaire scores. Purchase intentions were subjected to ANOVA with 2 factors (brand and cheese) and their interaction. The frequencies of consumption of the 4 different Mozzarella formats was analyzed using the χ2 test for independent samples. Based on our results, the communication around pasta filata cheese should focus on intrinsic characteristics such as healthiness and sensory properties, whereas standard Mozzarella with good nutritional and eating quality should be the most produced item and marketed if the associated brand product is well received by the consumers. By shortening the supply chain an increased economic and environmental sustainability can be expected.