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Association between feed sorting and the prevalence of metabolic disorders in Hungarian large-scale dairy herds

Published online by Cambridge University Press:  22 May 2019

Viktor Jurkovich ,
László Könyves  and
Mikolt Bakony
Viktor Jurkovich*
Affiliation:
Department of Animal Hygiene, Herd Health and Veterinary Ethology, University of Veterinary Medicine, Budapest, Hungary
László Könyves
Affiliation:
Department of Animal Hygiene, Herd Health and Veterinary Ethology, University of Veterinary Medicine, Budapest, Hungary
Mikolt Bakony
Affiliation:
Department of Animal Hygiene, Herd Health and Veterinary Ethology, University of Veterinary Medicine, Budapest, Hungary
*
Author for correspondence: Viktor Jurkovich, Email: [email protected]
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Abstract

This research communication describes the possible association between feed sorting and the risk of metabolic disorders in dairy cows. Feed sorting, that is selecting smaller size TMR particles over longer length fibers, can lead to imbalanced energy input. In addition, sorting can lead to lower nutritive value of leftover TMR. To detect a possible relationship between TMR sorting and the occurrence of metabolic disorders in large-scale herds, TMR separation and metabolic profile tests were performed in 22 Hungarian dairies. Feed sorting was defined as >5% alteration in the mass proportion of any of the TMR fractions between the time of feed distribution and 5–6 h later. The prevalence of ketosis and subclinical acidosis differed between feed sorting and non-sorting groups. Inhomogeneous TMR seems to be a predisposing factor for imbalanced energy status. TMR homogeneity measurements should be routinely included in herd health monitoring.

Keywords

Dairy cowfeed sortingtotal mixed ration
Type
Research Article
Information
Journal of Dairy Research , Volume 86 , Issue 2 , May 2019 , pp. 162 - 164
Copyright
Copyright © Hannah Dairy Research Foundation 2019 

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References

Bjerre-Harpøth, V, Friggens, NC, Thorup, VM, Larsen, T, Damgaard, BM, Ingvartsen, KL and Moyes, KM (2012) Metabolic and production profiles of dairy cows in response to decreased nutrient density to increase physiological imbalance at different stages of lactation. Journal of Dairy Science 95, 2362–2380.Google Scholar
DeVries, TJ, von Keyserlingk, MAG and Beauchemin, KA (2005) Frequency of feed delivery affects the behavior of lactating dairy cows. Journal of Dairy Science 88, 3553–3562.Google Scholar
Heinrichs, AJ (2013) The Penn State Particle Separator. Penn State Extension, DSE 2013-186; https://extension.psu.edu/penn-state-particle-separator.Google Scholar
Humer, E, Aschenbach, JR, Neubauer, V, Kröger, I, Khiaosa-ard, R, Baumgartner, W and Zebeli, Q (2018) Signals for identifying cows at risk of subacute ruminal acidosis in dairy veterinary practice. Journal of Animal Physiology and Animal Nutrition 102, 380–392.Google Scholar
Kutas, F (1965) The measurement of net acid-base excretion in the urine of cattle. (A method for the estimation of acid-base equilibrium). Magyar Állatorvosok Lapja 20, 104–107.Google Scholar
Leonardi, C and Armentano, LE (2007) Feed selection by dairy cows fed individually in a tie-stall or as a group in a free-stall barn. Journal of Dairy Science 90, 2386–2389.Google Scholar
Maulfair, DD and Heinrichs, AJ (2010) Technical note: evaluation of procedures for analyzing ration sorting and rumen digesta particle size in dairy cows. Journal of Dairy Science 93, 3784–3788.Google Scholar
Miller-Cushon, EK and DeVries, TJ (2017) Feed sorting in dairy cattle: causes, consequences, and management. Journal of Dairy Science 100, 4172–4183.Google Scholar
Oetzel, G (2007) Herd-Level Ketosis – diagnosis and risk factors. In: 40th Annual Conference of American Association of Bovine Practitioners, Preconference Seminar 7C. Dairy Herd Problem Investigation Strategies: Transition Cow Troubleshooting, September 19, 2007, Vancouver, BC, Canada, pp. 67–91.Google Scholar
Plaizier, JC, Krause, DO, Gozho, GN and McBride, BW (2009) Subacute ruminal acidosis in dairy cows: the physiological causes, incidence and consequences. The Veterinary Journal 176, 21–31.Google Scholar
R Core Team (2017) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.orgGoogle Scholar
Sova, AD, LeBlanc, SJ, McBride, BW and DeVries, TJ (2014) Accuracy and precision of total mixed rations fed on commercial dairy farms. Journal of Dairy Science 97, 562–571.Google Scholar
Suthar, VS, Canelas-Raposo, J, Deniz, A and Heuwieser, W (2013) Prevalence of subclinical ketosis and relationships with postpartum diseases in European dairy cows. Journal of Dairy Science 96, 2925–2938.Google Scholar