Hanuš Oto, Kučera Josef, Samková Eva, Němečková Irena, Čítek Jindřich, Kopec Tomáš, Falta Daniel, Nejeschlebová Hana, Rysová Lucie, Klimešová Marcela, Elich Ondřej
Dairy Research Institute Ltd., Ke Dvoru 12a, 160 00 Prague, Czech Republic.
Czech-Moravia Breeders Corporation, Benešovská 123, 252 09 Hradištko, Czech Republic.
Foods. 2021 Aug 27;10(9):2017. doi: 10.3390/foods10092017.
Heat stability (HS) is substantial technology property of raw milk. Analysis of sources of HS variation and its regular monitoring can contribute to creating higher added value in the dairy industry. The goal of this analysis was to assess the practice sources of raw cow milk HS variability on the results of an extensive data set of bulk tank milk samples. There was implemented neither a compositional technology modification nor acidity adjustment of milk, just original raw milk was used for the analysis. A total 2634 HS analyses were performed, including other milk indicators, during three years of an experimental period. The log HS mean and standard deviation were 1.273654 ± 0.144189, equal to the HS geometric mean of 18.8 min. Explanation of the HS variability through the linear model used was 41.1% ( < 0.0001). According to the results of the variance analysis, the milk HS was influenced ( = 0.0033 and mostly <0.0001) by all the farm factors such as year; season; calendar month; altitude; total annual rainfall; herd size by the number of cows; milk yield; cow breed; type of milking; litter type in the stable; summer grazing application; farm effect. During the calendar months ( < 0.0001), milk HS values suggest similar seasonal dynamics with the somatic cell count, total count of mesophilic microorganisms, coli bacteria count and urea and lactose concentration and opposite configuration pattern to fat, crude protein, solids-not-fat and total solids content and milk freezing point depression. Here performed quantification of these effects by analyzing the variance may allow efficient raw milk selection to be processed into specific dairy products.
热稳定性(HS)是原料乳的一项重要技术特性。分析热稳定性变化的来源并对其进行定期监测有助于在乳制品行业创造更高的附加值。本分析的目的是根据大量储奶罐牛奶样本数据集的结果,评估原料牛乳热稳定性变异性的实际来源。实验过程中既未对牛奶进行成分技术改性,也未调整酸度,仅使用原始原料乳进行分析。在三年的实验期内,共进行了2634次热稳定性分析,包括其他牛奶指标。热稳定性对数均值和标准差为1.273654±0.144189,相当于热稳定性几何均值为18.8分钟。通过所使用的线性模型对热稳定性变异性的解释率为41.1%(P<0.0001)。根据方差分析结果,牛奶的热稳定性受所有农场因素影响(P = 0.0033,大多数P<0.0001),这些因素包括年份、季节、日历月份、海拔、年总降雨量、奶牛数量表示的畜群规模、牛奶产量、奶牛品种、挤奶类型、牛舍垫料类型、夏季放牧应用、农场效应。在各个日历月份(P<0.0001)期间,牛奶热稳定性值与体细胞计数、嗜温微生物总数、大肠杆菌计数以及尿素和乳糖浓度呈现相似的季节动态,与脂肪、粗蛋白、非脂固形物、总固形物含量以及牛奶冰点下降呈现相反的构型模式。通过分析方差对这些影响进行定量,可能有助于高效选择适合加工特定乳制品的原料乳。