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Effects of prepartal body condition score and peripartal energy supply of dairy cows on postpartal lipolysis, energy balance and ketogenesis: an animal model to investigate subclinical ketosis

Published online by Cambridge University Press:  05 March 2014

Kirsten Schulz
Affiliation:
Institute of Animal Nutrition, Friedrich-Loeffler-Institute (FLI), Federal Research Institute for Animal Health, D-38116 Braunschweig, Germany
Jana Frahm*
Affiliation:
Institute of Animal Nutrition, Friedrich-Loeffler-Institute (FLI), Federal Research Institute for Animal Health, D-38116 Braunschweig, Germany
Ulrich Meyer
Affiliation:
Institute of Animal Nutrition, Friedrich-Loeffler-Institute (FLI), Federal Research Institute for Animal Health, D-38116 Braunschweig, Germany
Susanne Kersten
Affiliation:
Institute of Animal Nutrition, Friedrich-Loeffler-Institute (FLI), Federal Research Institute for Animal Health, D-38116 Braunschweig, Germany
Dania Reiche
Affiliation:
Boehringer Ingelheim Vetmedica, D-55216 Ingelheim am Rhein, Germany
Jürgen Rehage
Affiliation:
Clinic for Cattle, University of Veterinary Medicine, Bischofsholer Damm 15, D-30173, Germany
Sven Dänicke
Affiliation:
Institute of Animal Nutrition, Friedrich-Loeffler-Institute (FLI), Federal Research Institute for Animal Health, D-38116 Braunschweig, Germany
*
*For correspondence; e-mail: [email protected]

Abstract

Subclinical ketosis is a metabolic disorder which often goes undiagnosed and leads to constricted performance and an impairment of general condition. In the current study subclinical ketosis was characterised by a β-hydroxybutyrate (BHB) concentration of >1·2 mmol/l in blood serum. To generate this metabolic situation, an animal model was created. The model, based on group-specific interaction of dietary energy supply and body condition, is appropriate for testing the medical effectiveness of treating this kind of ketosis and its concomitants. During the trial, 18 dairy cows (primiparous and pluriparous) were assigned, according to their body condition score (BCS) 6 weeks before expected parturition, to a normal [6·78 MJ net energy for lactation (NEL)/kg dry matter; 20% concentrate] or to a high-energy feeding group (7·71 MJ NEL/kg dry matter; 60% concentrate). Therefore cows with the highest BCS were allocated to the high-energy group to enhance the contrast with the control group. Statistical analysis was done using the MIXED procedure of SAS. Effects were declared significant when P-values were ⩽0·05. Owing to the higher energy concentration and dry matter intake, the energy intake and balance was significantly higher in the high-energy feeding group, with strong effects on lipid metabolism and health in blood and liver post partum. Within the first 2 weeks after calving, 8 out of 9 cows (89%) of the high-energy group had BHB values indicative of subclinical ketosis. These cows also had significantly higher values of non-esterified fatty acids (NEFA), aspartate transaminase (AST) and glutamate dehydrogenase (GLDH) post partum, as well as a raised total lipid content of the liver. RQUICKI, a calculated parameter which is based on serum concentrations of glucose, insulin and NEFA to assess the insulin sensitivity, was not affected by treatment. Therefore, RQUICKI does not seem to be the right parameter for diagnosing decreased insulin sensitivity in cows affected by subclinical ketosis. The milk fat and the fat:protein ratio of the high-energy group was also higher, even though there was no decrease in milk yield for cows with subclinical BHB values.

Type
Research Article
Copyright
Copyright © Proprietors of Journal of Dairy Research 2014 

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References

Ametaj, BN, Bradford, BJ, Bobe, G, Nafikov, RA, Lu, Y, Young, JW & Beitz, DC 2005 Strong relationships between mediators of the acute phase response and fatty liver in dairy cows. Canadian Journal of Animal Science 85 165175CrossRefGoogle Scholar
Asl, AN, Nazifi, S, Ghasrodashti, AR & Olyaee, A 2011 Prevalence of subclinical ketosis in dairy cattle in the Southwestern Iran and detection of cutoff point for NEFA and glucose concentrations for diagnosis of subclinical ketosis. Preventive Veterinary Medicine 100 3843CrossRefGoogle ScholarPubMed
Bauman, DE & Currie, WB 1980 Partitioning of nutrients during pregnancy and lactation: a review of mechanisms involving homeostasis and homeorhesis. Journal of Dairy Science 63 15141529Google Scholar
Bernabucci, U, Ronchi, B, Lacetera, N & Nardone, A 2005 Influence of body condition score on relationships between metabolic status and oxidative stress in periparturient dairy cows. Journal of Dairy Science 88 20172026CrossRefGoogle ScholarPubMed
Bewley, JM & Schutz, MM 2008 Review: an interdisciplinary review of body condition scoring for dairy cattle. Professional Animal Scientist 24 507529CrossRefGoogle Scholar
Bobe, G, Young, JW & Beitz, DC 2004 Invited review: pathology, etiology, prevention, and treatment of fatty liver in dairy cows. Journal of Dairy Science 87 31053124Google Scholar
Busato, A, Faissle, D, Kupfer, U & Blum, JW 2002 Body condition scores in dairy cows: associations with metabolic and endocrine changes in healthy dairy cows. Journal of Veterinary Medicine. A, Physiology, Pathology, Clinical Medicine 49 455460Google Scholar
Buttchereit, N, Stamer, E, Junge, W & Thaller, G 2010 Evaluation of five lactation curve models fitted for fat:protein ratio of milk and daily energy balance. Journal of Dairy Science 93 17021712Google Scholar
Day, J 2013 Elanco launches ketosis bolus in Europe. [Online. Access Date 22/10/13]. http://www.kcanimalhealth.com/index.php/news/media-coverage/elanco-launches-ketosis-bolus-in-europe/Google Scholar
Dirksen, G, Gründer, H & Stöber, M 2012 Die klinische Untersuchung des Rindes [The Clinical Investigation of Bovine Animals]. Stuttgart: EnkeGoogle Scholar
DLG (German Agricultural Society) 1997 DLG Futterwerttabellen Wiederkäuer [Feed Value Tables for Ruminants], 7th edition. Frankfurt am Main: DLG-VerlagGoogle Scholar
Đokovic´, R, Šamanc, H, Petrovic´, MD, Ilic´, Z & Kurc´ubic´, V 2012 Relationship among blood metabolites and lipid content in the liver in transitional dairy cows. Biotechnology in Animal Husbandry 28 705714Google Scholar
Domecq, JJ, Skidmore, AL, Lloyd, JW & Kaneene, JB 1997 Relationship between body condition scores and milk yield in a large dairy herd of high yielding Holstein cows. Journal of Dairy Science 80 101112Google Scholar
Duffield, T 2000 Subclinical ketosis in lactating dairy cattle. Veterinary Clinics of North America. Food Animal Practice 16 231253Google Scholar
Edmonson, AJ, Lean, IJ, Weaver, LD, Farver, T & Webster, G 1989 A body condition scoring chart for Holstein dairy-cows. Journal of Dairy Science 72 6878Google Scholar
Fürll, M 1989 Vorkommen, Ätiologie, Pathogenese, Diagnostik und medikamentelle Beeinflussung von Leberschäden beim Rind. [Incidence, Etiology, Pathogenesis, Diagnosis and Medical Influence of Liver Damage in Cattle.]. Vet. med. Habilitation, Germany: University LeipzigGoogle Scholar
Gaines, WL 1928 The energy basis of measuring milk yield in dairy cows. Illinois Agricultural Experiment Station Bulletin 308 401438Google Scholar
GfE (German Society of Nutrition Physilogy) 1991 Leitlinien für die Bestimmung der Verdaulichkeit von Rohnährstoffen an Wiederkäuern [Guidelines for determining the digestibility of crude nutrients in ruminants]. Journal of Animal Physiology and Animal Nutrition 65 229234Google Scholar
GfE (German Society of Nutrition Physilogy) 2001 Empfehlungen zur Energie- und Nährstoffaufnahme der Milchkühe aud Aufzuchtrinder [Recommendations of Energy and Nutrient Supply for Dairy Cows and Breeding Cattle]. Frankfurt am Main: DLG VerlagGoogle Scholar
Gonzalez, FD, Muino, R, Pereira, V, Campos, R & Benedito, JL 2011 Relationship among blood indicators of lipomobilization and hepatic function during early lactation in high-yielding dairy cows. Journal of Veterinary Science 12 251255Google Scholar
Heuer, C, Schukken, YH & Dobbelaar, P 1999 Postpartum body condition score and results from the first test day milk as predictors of disease, fertility, yield, and culling in commercial dairy herds. Journal of Dairy Science 82 295304Google Scholar
Holcomb, CS, Van Horn, HH, Head, HH, Hall, MB & Wilcox, CJ 2001 Effects of prepartum dry matter intake and forage percentage on postpartum performance of lactating dairy cows. Journal of Dairy Science 84 20512058Google Scholar
Holtenius, P & Holtenius, K 2007 A model to estimate insulin sensitivity in dairy cows. Acta veterinaria Scandinavica 49 29CrossRefGoogle Scholar
Kerestes, M, Faigl, V, Kulcsar, M, Balogh, O, Foldi, J, Febel, H, Chilliard, Y & Huszenicza, G 2009 Periparturient insulin secretion and whole-body insulin responsiveness in dairy cows showing various forms of ketone pattern with or without puerperal metritis. Domestic Animal Endocrinology 37 250261CrossRefGoogle ScholarPubMed
LeBlanc, S 2010 Monitoring metabolic health of dairy cattle in the transition period. Journal of Reproduction and Development 56 (Suppl.)S29S35Google Scholar
McArt, JA, Nydam, DV & Oetzel, GR 2012 Epidemiology of subclinical ketosis in early lactation dairy cattle. Journal of Dairy Science 95 50565066Google Scholar
Miettinen, PVA & Setälä, JJ 1993 Relationships between subclinical ketosis, milk production and fertility in Finnish dairy cattle. Preventive Veterinary Medicine 17 18CrossRefGoogle Scholar
Oetzel, GR 2004 Monitoring and testing dairy herds for metabolic disease. Veterinary Clinics of North America. Food Animal Practice 20 651674Google Scholar
Oikawa, S & Oetzel, GR 2006 Decreased insulin response in dairy cows following a four-day fast to induce hepatic lipidosis. Journal of Dairy Science 89 29993005Google Scholar
Owens, FN, Secrist, DS, Hill, WJ & Gill, DR 1998 Acidosis in cattle: a review. Journal of Animal Science 76 275286Google Scholar
Roche, JR, Kay, JK, Friggens, NC, Loor, JJ & Berry, DP 2013 Assessing and managing body condition score for the prevention of metabolic disease in dairy cows. Veterinary Clinics of North America: Food Animal Practice 29 323336Google ScholarPubMed
SAS Institute 2004 SAS/STAT 9.1 User's guide. Cary NC, USA: SAS Inst. Inc.Google Scholar
Starke, A, Haudum, A, Busche, R, Beyerbach, M, Danicke, S & Rehage, J 2010 Technical note: analysis of total lipid and triacylglycerol content in small liver biopsy samples in cattle. Journal of Animal Science 88 27412750Google Scholar
Stengarde, L, Holtenius, K, Emanuelson, U, Hultgren, J, Niskanen, R & Traven, M 2011 Blood parameters in Swedish dairy herds with high or low incidence of displaced abomasum or ketosis. Veterinary Journal 190 124130CrossRefGoogle ScholarPubMed
Tamminga, S, Luteijn, PA & Meijer, RGM 1997 Changes in composition and energy content of liveweight loss in dairy cows with time after parturition. Livestock Production Science 52 3138Google Scholar
VDLUFA (Association of German Agricultural Analysis and Research Centers) 1993 Handbuch der Landwirtschaftlichen Versuchs- und Untersuchungsmethodik (VDLUFA-Methodenbuch). Vol III. Die chemische Untersuchung von Futtermitteln. Darmstadt, Germany: VDLUFA-VerlagGoogle Scholar
Vickers, LA, Weary, DM, Veira, DM & von Keyserlingk, MA 2013 Feeding a higher forage diet prepartum decreases incidences of subclinical ketosis in transition dairy cows. Journal of Animal Science 91 886894CrossRefGoogle ScholarPubMed