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Characterization of variables related to high stability of raw cow milk

Published online by Cambridge University Press:  19 February 2024

Fernanda Antunes Martins*
Affiliation:
Department of Animal Science, Ponta Grossa State University, Ponta Grossa, Paraná, Brazil
Marina Tolentino Marinho
Affiliation:
Department of Food Engineering, Ponta Grossa State University, Ponta Grossa, Paraná, Brazil
Vivian Fischer
Affiliation:
Department of Animal Science, Rio Grande do Sul Federal University, Porto Alegre, Rio Grande do Sul, Brazil
João Ricardo Alves Pereira
Affiliation:
Department of Animal Science, Ponta Grossa State University, Ponta Grossa, Paraná, Brazil
Paulo Ricardo Los
Affiliation:
Department of Food Engineering, Ponta Grossa State University, Ponta Grossa, Paraná, Brazil
Adriana de Souza Martins
Affiliation:
Department of Animal Science, Ponta Grossa State University, Ponta Grossa, Paraná, Brazil
*
Corresponding author: Fernanda Antunes Martins; Email: fernandaantunesmartins@outlook.com

Abstract

This research paper analyzes the stability of raw cow milk in the alcohol test and seeks to understand to know the factors that influence milk stability and the occurrence of unstable non-acid milk. Milk samples were collected from the cooling tanks of rural farmers in the state of Paraná twice in summer and twice in winter. The farms were classified according to the production system: pasture with supplementation and feedlot. The following variables were analyzed: stability in the alcohol test, titratable acidity, ionized calcium concentration (iCa), chemical composition of milk, somatic cell count and standard plate count. The results showed that milk stability was greater in winter vs. summer, when the milk contained higher iCa, and in the feedlot vs. pasture system. The Pearson Correlation between variables (ethanol stability, milk composition, iCa, cooling tank temperature, milk volume, number of milking, number of cows milked, fat/protein ratio, distance and travel time) were analyzed. Stability was negatively correlated with iCa concentration and positively with lactose content. Logistic regression of the risk of unstable non-acid milk at 72% alcohol (UNAM72) showed that only iCa and lactose were determinants, while evaluation of the same risk at 78% alcohol revealed iCa, titratable acidity, lactose and milk urea nitrogen as risk factors. Under the dairy farming conditions of Paraná state, the frequency of UNAM72 was low (12.16%) and was higher in summer and in pasture systems with supplementation. In conclusion, in dairy herds bred with high technological level, with adequate nutritional and health management, the frequency of UNAM is low and is related to nutritional management abnd, perhaps, heat stress, factors that alter iCa and lactose levels.

Type
Research Article
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation

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