Cipolat-Gotet C, Cecchinato A, De Marchi M, Bittante G
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE) University of Padova, viale dell'Università 16, 35020 Legnaro (PD), Italy.
J Dairy Sci. 2013;96(12):7952-65. doi: 10.3168/jds.2012-6516. Epub 2013 Oct 4.
Cheese yield (CY) is the most important technological trait of milk, because cheese-making uses a very high proportion of the milk produced worldwide. Few studies have been carried out at the level of individual milk-producing animals due to a scarcity of appropriate procedures for model-cheese production, the complexity of cheese-making, and the frequent use of the fat and protein (or casein) contents of milk as a proxy for cheese yield. Here, we report a high-throughput cheese manufacturing process that mimics all phases of cheese-making, uses 1.5-L samples of milk from individual animals, and allows the simultaneous processing of 15 samples per run. Milk samples were heated (35°C for 40 min), inoculated with starter culture (90 min), mixed with rennet (51.2 international milk-clotting units/L of milk), and recorded for gelation time. Curds were cut twice (10 and 15 min after gelation), separated from the whey, drained (for 30 min), pressed (3 times, 20 min each, with the wheel turned each time), salted in brine (for 60 min), weighed, and sampled. Whey was collected, weighed, and sampled. Milk, curd, and whey samples were analyzed for pH, total solids, fat content, and protein content, and energy content was estimated. Three measures of percentage cheese yield (%CY) were calculated: %CY(CURD), %CY(SOLIDS), and %CY(WATER), representing the ratios between the weight of fresh curd, the total solids of the curd, and the water content of the curd, respectively, and the weight of the milk processed. In addition, 3 measures of daily cheese yield (dCY, kg/d) were defined, considering the daily milk yield. Three measures of nutrient recovery (REC) were computed: REC(FAT), REC(PROTEIN), and REC(SOLIDS), which represented the ratio between the weights of the fat, protein, and total solids in the curd, respectively, and the corresponding components in the milk. Energy recovery, REC(ENERGY), represented the energy content of the cheese compared with that in the milk. This procedure was used to process individual milk samples obtained from 1,167 Brown Swiss cows reared in 85 herds of the province of Trento (Italy). The assessed traits exhibited almost normal distributions, with the exception of REC(FAT). The average values (± SD) were as follows: %CY(CURD)=14.97±1.86, %CY(SOLIDS)=7.18±0.92, %CY(WATER)=7.77±1.27, dCY(CURD)=3.63±1.17, dCY(SOLIDS)=1.74±0.57, dCY(WATER)=1.88±0.63, REC(FAT)=89.79±3.55, REC(PROTEIN)=78.08±2.43, REC(SOLIDS)=51.88±3.52, and REC(ENERGY)=67.19±3.29. All traits were highly influenced by herd-test-date and days in milk of the cow, moderately influenced by parity, and weakly influenced by the utilized vat. Both %CY(CURD) and dCY(CURD) depended not only on the fat and protein (casein) contents of the milk, but also on their proportions retained in the curd; the water trapped in curd presented an higher variability than that of %CY(SOLIDS). All REC traits were variable and affected by days in milk and parity of the cows. The described model cheese-making procedure and the results obtained provided new insight into the phenotypic variation of cheese yield and recovery traits at the individual level.
奶酪产量(CY)是牛奶最重要的工艺特性,因为全球生产的牛奶中有很大比例用于制作奶酪。由于缺乏适用于制作模型奶酪的适当程序、奶酪制作过程复杂,以及经常将牛奶的脂肪和蛋白质(或酪蛋白)含量用作奶酪产量的替代指标,因此针对个体产奶动物层面的研究较少。在此,我们报告了一种高通量奶酪制造工艺,该工艺模拟了奶酪制作的所有阶段,使用来自个体动物的1.5升牛奶样本,每次运行可同时处理15个样本。牛奶样本先加热(35°C,40分钟),接种发酵剂培养物(90分钟),与凝乳酶混合(51.2国际牛奶凝固单位/升牛奶),并记录凝胶化时间。凝乳切割两次(凝胶化后10分钟和15分钟),与乳清分离,沥干(30分钟),压制(3次,每次20分钟,每次转动轮子),在盐水中腌制(60分钟),称重并取样。收集乳清,称重并取样。对牛奶、凝乳和乳清样本进行pH值、总固体、脂肪含量和蛋白质含量分析,并估算能量含量。计算了三种奶酪产量百分比(%CY)的指标:%CY(凝乳)、%CY(固体)和%CY(水),分别代表新鲜凝乳重量、凝乳总固体和凝乳含水量与所加工牛奶重量之间的比率。此外,考虑到每日产奶量,定义了三种每日奶酪产量(dCY,千克/天)的指标。计算了三种营养物质回收率(REC)的指标:REC(脂肪)、REC(蛋白质)和REC(固体),分别代表凝乳中脂肪、蛋白质和总固体重量与牛奶中相应成分重量之间的比率。能量回收率REC(能量)代表奶酪与牛奶中的能量含量之比。该程序用于处理从意大利特伦托省85个牛群中饲养的1167头瑞士褐牛获取的个体牛奶样本。所评估的性状除REC(脂肪)外,几乎呈正态分布。平均值(±标准差)如下:%CY(凝乳)=14.97±1.86,%CY(固体)=7.18±0.92,%CY(水)=7.77±1.27,dCY(凝乳)=3.63±1.17,dCY(固体)=1.74±0.57,dCY(水)=1.88±0.63,REC(脂肪)=89.79±3.55,REC(蛋白质)=78.08±2.43,REC(固体)=51.88±3.52,REC(能量)=67.19±3.29。所有性状都受到牛群 - 测试日期和奶牛产奶天数的高度影响,受胎次的影响适中,受所用发酵桶的影响较小。%CY(凝乳)和dCY(凝乳)不仅取决于牛奶中的脂肪和蛋白质(酪蛋白)含量,还取决于它们在凝乳中的保留比例;凝乳中截留的水分比%CY(固体)具有更高的变异性。所有REC性状都是可变的,并且受奶牛产奶天数和胎次的影响。所描述的模型奶酪制作程序及获得的结果为个体水平上奶酪产量和回收率性状的表型变异提供了新的见解。