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Авторизация

2020_03_10_en

Correlation analysis as a diagnostic and predictive criterion in the assessment of micronutrient metabolism in cattle

 

E. O. Krupin
Tatar Scientific Research Institute of Agriculture, FRC Kazan Scientific Center, Russian Academy of Sciences, ul. Orenburgskii trakt, 48, Kazan’, 420059, Russian Federation

Abstract. This study was aimed at establishing the magnitude and significance of correlations between trace elements in the biological fluids of Holstein-breed cows and calves. The contents of copper (Cu), zinc (Zn), manganese (Mn), iron (Fe), cobalt (Co) and selenium (Se) were determined in the blood and milk of experimental animals by atomic absorption analysis. For the blood and milk of cows, 6 statistically significant correlations between trace elements were established, while 2 significant correlations were found for the blood of calves. High positive significant correlations were established between Zn and Se contents in the blood and milk of cows (r(P) = 0.717 and r(P) = 0.860). In 30.55% of cases, significant correlations were identified in the assessment ‘cow’s milk – calves’ blood’. For the blood of cows, the greatest significant positive correlation was revealed between Cu and Mn concentrations. At the same time, the strongest significant negative correlation was between Cu and Co: r(S) = 0.916 and r(S) = -0.671, respectively. The highest positive relationship was between Cu and Se contents in the milk of cows (r(S) = 1.000). The greatest significant positive relationship was characteristic of Zn and Fe in the blood of calves (r(P) = -0.928). Equal significant negative correlations were established between Cu in the blood of cows and Zn and Mn in their milk (r(S) = -0.829). The greatest significant positive relationship between trace elements in the milk of cows and the blood of calves was demonstrated between Zn and Mn (r(P) = 0.931). Significant positive correlations were identified between Se and Mn, as well as Cu and Co in the blood of cows and calves: r(S) = 0.829 и r(P) = 0.828; while the highest significant negative relationship was found for Cu.

Keywords: iron; cobalt; feeding; cow; correlation; blood; manganese; copper; milk; selenium; zinc.

Author Details: E.O. Krupin, Cand. Sc. (Vet.), head of division (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.).

For citation: Krupin EO. [Correlation analysis as a diagnostic and predictive criterion in the assessment of micronutrient metabolism in cattle]. Dostizheniya nauki i tekhniki APK. 2020;34(3):51-6. Russian. doi: 10.24411/0235-2451-2020-10310.