Rodríguez-Hernández Pablo, Díaz-Gaona Cipriano, Reyes-Palomo Carolina, Sanz-Fernández Santos, Sánchez-Rodríguez Manuel, Rodríguez-Estévez Vicente, Núñez-Sánchez Nieves
Department of Animal Production, Faculty of Veterinary Medicine, University of Cordoba, Campus Rabanales, 14071 Cordoba, Spain.
Animals (Basel). 2023 Jul 28;13(15):2440. doi: 10.3390/ani13152440.
Consumers are increasingly prone to request information about the production systems of the food they buy. For this purpose, certification and authentication methodologies are necessary not only to protect the choices of consumers, but also to protect producers and production systems. The objective of this preliminary work was to authenticate the grazing system of dairy goats using Near-Infrared Spectroscopy (NIRS) analyses of milk and faeces of the animals. Spectral information and several mathematical pre-treatments were used for the development of six discriminant models based on different algorithms for milk and faeces samples. Results showed that the NIRS spectra of both types of samples had some differences when the two feeding regimes were compared. Therefore, good discrimination rates were obtained with both strategies (faeces and milk samples), with classification percentages of up to 100% effectiveness. Discrimination of feeding regime and grazing authentication based on NIRS analysis of milk samples and an alternative sample such as faeces is considered as a potential approach for dairy goats and small ruminant production.
消费者越来越倾向于要求获取他们所购买食品的生产系统信息。为此，认证和鉴定方法不仅对于保护消费者的选择是必要的，而且对于保护生产者和生产系统也是必要的。这项初步工作的目的是通过对奶山羊的牛奶和粪便进行近红外光谱（NIRS）分析来鉴定其放牧系统。利用光谱信息和几种数学预处理方法，基于不同算法为牛奶和粪便样本开发了六个判别模型。结果表明，当比较两种饲养方式时，两种类型样本的近红外光谱存在一些差异。因此，两种策略（粪便和牛奶样本）都获得了良好的判别率，分类准确率高达100%。基于牛奶样本和粪便等替代样本的近红外分析来判别饲养方式和放牧认证，被认为是奶山羊和小型反刍动物生产的一种潜在方法。
