Jiménez Lorena, Perea José M, Caballero-Villalobos Javier, Angón Elena, Cecchinato Alessio, Amalfitano Nicolò, Oliete Bonastre, Arias Ramón
Instituto Regional de Investigación y Desarrollo Agroalimentario y Forestal de Castilla La Mancha (IRIAF), CERSYRA de Valdepeñas, 13300 Ciudad Real, Spain.
Departamento de Producción Animal, Universidad de Córdoba, 14071 Córdoba, Spain.
Foods. 2024 Mar 13;13(6):873. doi: 10.3390/foods13060873.
Sheep milk from local breeds is important for the production of high-quality cheeses throughout the Mediterranean region, such as Manchego cheese in Spain. To maintain sustainable and efficient production, it is necessary to reach a better understanding of how the composition and hygiene of the milk affect the coagulation process, with the aim of optimizing production yield. This study implemented a stochastic production frontier function to estimate the potential production of curd and efficiency using data from the four seasons of a study of 77 Manchega sheep farms. The Cobb-Douglas production frontier model was estimated using the maximum likelihood estimation method. The results showed that the content of protein, lactose, and fat exhibited increasing returns to scale, with protein content being the most significant factor for curd production. Approximately half of the inefficiency was due to factors related to the technological properties and the hygiene of the milk. The pH, curd firmness, and concentration of lactic acid bacteria improved the efficiency of coagulation, while the concentration of spores of lactate-fermenting spp., spp., staphylococci, and catalase-negative gram-positive cocci favored the inefficiency of the coagulation process. To date, this is the first study to evaluate the effect of different factors, such as microbial groups, milk composition, and technological properties, on the efficiency of the coagulation process in dairy sheep.
当地品种的羊奶对于整个地中海地区生产高品质奶酪非常重要,比如西班牙的曼彻格奶酪。为了维持可持续且高效的生产,有必要更好地了解牛奶的成分和卫生状况如何影响凝结过程,以优化产量。本研究采用随机生产前沿函数,利用对77个曼彻格羊场为期一年四个季节的研究数据,来估计凝乳的潜在产量和效率。使用最大似然估计法对柯布-道格拉斯生产前沿模型进行了估计。结果表明,蛋白质、乳糖和脂肪含量呈现规模报酬递增,其中蛋白质含量是凝乳生产的最重要因素。约一半的低效率是由于与牛奶的技术特性和卫生状况相关的因素造成的。pH值、凝乳硬度和乳酸菌浓度提高了凝结效率,而乳酸发酵菌属、葡萄球菌属的芽孢浓度以及过氧化氢酶阴性革兰氏阳性球菌则导致凝结过程效率低下。迄今为止,这是第一项评估不同因素(如微生物群、牛奶成分和技术特性)对奶羊凝结过程效率影响的研究。