71. Investigation of electrical conductivity of milk in robotic milking system and its relationship with milk somatic cell count and other quality traits
Vida Juozaitienė1, Arūnas Juozaitis2, Aurimas Brazauskas3, Judita Žymantienė4, Vytuolis Žilaitis5, Ramūnas Antanaitis6, Rolandas Stankevičius7, Rasa Bobinienė8
Lithuanian University of Health Sciences, Kaunas, Lithuania
Lithuanian University of Educational Sciences, Vilnius, Lithuania
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(Received 18 June 2015; received in revised form 1 August 2015; accepted 12 August 2015)
Abstract. The scientific research was carried out at Lithuanian
University of Health Sciences, Veterinary Academy, state enterprise Pieno
tyrimai, as well as in dairy farms running automatic voluntary (robotic)
milking systems in Lithuania. A total data set of 462574 cow milking records
was assessed in the research. The objectives of this investigation were to
evaluate the milk electrical conductivity indicator from robotic milking
system and to assess the genetic correlation with the indices collected in a
database of Lithuanian dairy cattle, to estimate heritability coefficient
using multiple traits mixed linear model with permanent environment effects.
The research has shown, that the electrical conductivity of milk ranged from
4.6 to 5.8 ms/cm in milk samples where somatic cell count did not exceed 200
thousand/ml and variation in electric conductivity of milk can be treated as
one of the main parameters for cows health monitoring system. A high
coefficient of heritability of electrical conductivity of milk ( =
0.512 ± 0.028;
Keywords: robotic milking system, cows, electrical conductivity of milk, somatic cells, correlation, heritability.
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Cite this article
Juozaitienė Vida, Juozaitis Arūnas, Brazauskas Aurimas, Žymantienė Judita, Žilaitis Vytuolis, Antanaitis Ramūnas, Stankevičius Rolandas, Bobinienė Rasa Investigation of electrical conductivity of milk in robotic milking system and its relationship with milk somatic cell count and other quality traits. Journal of Measurements in Engineering, Vol. 3, Issue 3, 2015, p. 63‑70.
Journal of Measurements in
Engineering. September 2015, Volume 3, Issue 3