Practical and economic diagnosis of ketosis by means of a linear model using the correlation of glucose and betahydroxybutyrate in blood in dual purpose cows

Authors

  • Miguel Ángel Lammoglia-Villagómez Universidad Veracruzana
  • María Rebeca Rojas-Ronquillo Universidad Veracruzana
  • Praxedis Cruz-Sánchez Universidad Veracruzana
  • Amalia Cabrera-Núñez Universidad Veracruzana
  • Jorge Luis Chagoya-Fuentes Universidad Veracruzana

DOI:

https://doi.org/10.47808/revistabioagro.v10i2.430

Keywords:

Dual Purpose Cows, Ketosis, β-hydroxybutyrate, Blood glucose

Abstract

Veracruz state has the largest bovine population in México, where its main zootechnical function is dual purpose (DP). DP cows suffer conditions like dairy cows, such as, negative energy balance (NEB), decalcification, ketosis, metritis, among others. Where, many of them are not diagnosed and much less treated. In the case of ketosis, the easiest way to diagnose it is using a ketometer, but it is difficult to obtain, and its cost is high. The aim of the study was to use blood glucose concentrations to predict the degree of ketosis in DP cows as a more economical and practical method. 54 DP cows located in the northern region of Veracruz, were used. Their diet consisted of pastures, citrus pulp, water, and mineral salts. All cows were milked twice a day and had a mean daily production of 16.6±1.01 Kg, a mean of 54.6±5.0 days in milk and 3.0±0.25 in body condition. A blood sample was collected and glucose concentrations (Glucometer, OneTouch©), and β-hydroxybutyrate ketone body (BHB, ketometer, FreeStyle©) were determined. Body condition was also recorded (scale from 1 to 5 where 1=emaciated and 5=obese). Milk was measured using weighers integrated into the milk line (Waikato©). The JASP version 0.16.3 software was used to perform the statistical analysis. Results indicate several significant correlations (P<0.05): Glucose*body condition; lactation number*milk production and lactation number*body  condition.  However,  the  most  relevant  was  the  glucose*BHB  correlation (-0.56 and P<0.0001). Using a linear least-squares model (P<0.05) BHB concentrations were predicted based on glucose concentrations; the results were: Glucose (mg/dL) 10, 15, 25 and 35 equivalent to BHB (mmol/L) 2.02, 1.71, 1.09 and 0.46; respectively. In conclusion, a negative correlation was found between glucose and BHB concentrations and using a linear model it was possible to predict BHB concentrations based on glucose concentrations. This is important as it may be possible to make a rough diagnosis of the degree of ketosis cheaper and easier to obtain.

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References

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https://doi.org/10.3390/ani12050601 DOI: https://doi.org/10.3390/ani12050601

Published

2022-12-01

How to Cite

Lammoglia-Villagómez M. A., Rojas-Ronquillo, M. R., Cruz-Sánchez , P., Cabrera-Núñez, A., & Chagoya-Fuentes , J. L. (2022). Practical and economic diagnosis of ketosis by means of a linear model using the correlation of glucose and betahydroxybutyrate in blood in dual purpose cows. Revista Biológico Agropecuaria Tuxpan, 10(2), 84–94. https://doi.org/10.47808/revistabioagro.v10i2.430

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Original Research Papers

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