Department of Food Biotechnologies and Agricultural Products Quality, Faculty of Agriculture, University of South Bohemia in České Budějovice, Studentská 1668, 370 05 České Budějovice, Czech Republic
Irena Němečková
Dairy Research Institute Ltd., Ke Dvoru 12a, 160 00 Prague, Czech Republic
Jindřich Čítek
Department of Genetics and Agricultural Biotechnology, Faculty of Agriculture, University of South Bohemia in České Budějovice, Studentská 1668, 370 05 České Budějovice, Czech Republic
Tomáš Kopec
Department of Animal Breeding, Faculty of Agronomy, Mendel University in Brno, Zemědělská 1665, 613 00 Brno-Sever, Czech Republic
Daniel Falta
Department of Animal Breeding, Faculty of Agronomy, Mendel University in Brno, Zemědělská 1665, 613 00 Brno-Sever, Czech Republic
Hana Nejeschlebová
Dairy Research Institute Ltd., Ke Dvoru 12a, 160 00 Prague, Czech Republic
Lucie Rysová
Department of Food Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, 165 00 Prague 6, Czech Republic
Marcela Klimešová
Dairy Research Institute Ltd., Ke Dvoru 12a, 160 00 Prague, Czech Republic
Ondřej Elich
Dairy Research Institute Ltd., Ke Dvoru 12a, 160 00 Prague, Czech Republic
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% (p p = 0.0033 and mostly p < 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.