Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-17T14:03:02.981Z Has data issue: false hasContentIssue false

Influence of energy and nutrient supply pre and post partum on performance of multiparous Simmental, Brown Swiss and Holstein cows in early lactation

Published online by Cambridge University Press:  14 November 2013

L. Gruber*
Affiliation:
Institute of Livestock Research, Department of Animal Nutrition, Agricultural Research and Education Centre Raumberg-Gumpenstein, 8952 Irdning, Austria
M. Urdl
Affiliation:
Institute of Livestock Research, Department of Animal Nutrition, Agricultural Research and Education Centre Raumberg-Gumpenstein, 8952 Irdning, Austria
W. Obritzhauser
Affiliation:
Chamber of Veterinaries, Hietzinger Kai 87, 1130 Vienna, Austria
A. Schauer
Affiliation:
Institute of Livestock Research, Department of Animal Nutrition, Agricultural Research and Education Centre Raumberg-Gumpenstein, 8952 Irdning, Austria
J. Häusler
Affiliation:
Institute of Livestock Research, Department of Animal Nutrition, Agricultural Research and Education Centre Raumberg-Gumpenstein, 8952 Irdning, Austria
B. Steiner
Affiliation:
Institute of Livestock Research, Department of Animal Nutrition, Agricultural Research and Education Centre Raumberg-Gumpenstein, 8952 Irdning, Austria
*
Get access

Abstract

A study was conducted to evaluate the effects of pre partum (PRE) and post partum (POST) dietary energy and nutrient supply (E) and their interactions on feed intake, performance and energy status in dairy cows of three breeds. In this experiment, the effects of three energy and nutrient supply levels (low (L), medium (M), high (H)), both pre-calving and post-calving, were investigated, using a 3×3 factorial arrangement of treatments. In both phases (84 days pre- and 105 days post-calving) E levels applied to a total of 81 multiparous cows of breeds Simmental (SI), Brown Swiss (BS) and Holstein–Friesian (HF; n=27 for each breed), were 75%, 100% and 125% of recommendations of the German Society of Nutrition Physiology (GfE). Dry matter intake (DMI) was restricted, if energy intake exceeded target values. Pre partum DMI and energy intake were different as designed, liveweight and body condition score (BCS) of SI cows were higher, but EB was lower, compared to BS and HF cows. Milk yield and composition were influenced by all three main experimental factors (EPRE, EPOST, breed). Energy-corrected milk yield was 25.6, 28.6 and 30.1 kg/day for LPRE, MPRE and HPRE as well as 21.5, 30.1 and 32.6 kg/day for LPOST, MPOST and HPOST, respectively. Numerically, only for milk protein content the interactions EPRE×EPOST and EPRE×breed reached significance. Impact of energy supply pre-calving was more pronounced when cows had lower energy supply post-calving and vice versa. On the other hand, milk yield response of cows to energy supply above requirements was greater for cows that were fed on a low energy level pre partum. Impact of energy level pre partum was higher for HF cows, showing that their milk production relies to a greater extent on mobilization of body reserves. Increasing energy supply pre partum led to a more negative energy balance post partum, mainly by increasing milk yield and content, whereas feed intake was slightly reduced. Increasing energy supply post partum enhanced milk yield as well as milk protein and lactose content. Calculated energy balance corresponded well with liveweight and BCS change. Response of milk yield to increasing energy supply followed the principle of diminishing returns, since energy was increasingly partitioned to body retention. Increasing energy supply pre partum enhances milk yield and content post partum, but exacerbates negative energy balance and its consequences.

Type
Full Paper
Copyright
Copyright © The Animal Consortium 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

a

Both authors contributed equally.

References

Agenäs, S, Bursted, E and Holtenius, K 2003. Effects of feeding intensity during the dry period. 1. Feed intake, body weight, and milk production. Journal of Dairy Science 86, 870882.CrossRefGoogle ScholarPubMed
Agricultural Food and Research Council (AFRC) 1993. Energy and protein requirements of ruminants. An advisory manual prepared by the AFRC Technical Committee on responses to nutrients. CAB International, Wallingford, UK.Google Scholar
Association of German Agricultural Analytic and Research Institutes (VDLUFA) 2007. Methods book Vol. III – The chemical analysis of feedstuffs (in German). VDLUFA-Press, Darmstadt, Germany.Google Scholar
Austrian Ministry of Health 2004. Animal keeping regulation. Special provision of the Federal Act on the Protection of Animals. BGBl. II Nr. 485/2004. Federal Chancellery of the Republic of Austria, Vienna, Austria.Google Scholar
Bauman, DE 2000. Regulation of nutrient partitioning during lactation: Homeostasis and homeorhesis revisited. In Ruminant physiology: digestion, metabolism, growth, and reproduction (eds Cronjé, PB), pp 311328. CABI Publishing, Wallingford, UK.CrossRefGoogle Scholar
Bertics, SJ, Grummer, RR, Cadorniga-Valino, C and Stoddard, EE 1992. Effect of prepartum dry matter intake on liver triglyceride concentration in early lactation. Journal of Dairy Science 75, 19141922.CrossRefGoogle ScholarPubMed
Chilliard, Y, Bocquier, F and Doreau, M 1998. Digestive and metabolic adaptations of ruminants to undernutrition, and consequences on reproduction. Reproduction Nutrition Development 38, 131152.Google Scholar
Coffey, MP, Simm, G, Oldham, JD, Hill, WG and Brotherstone, S 2004. Genotype and diet effects on energy balance in the first three lactations of dairy cows. Journal of Dairy Science 87, 43184326.CrossRefGoogle ScholarPubMed
Dann, HM, Morin, DE, Bollero, GA, Murphy, MR and Drackley, JK 2005. Prepartum intake, postpartum induction of ketosis, and periparturient disorders affect the metabolic status of dairy cows. Journal of Dairy Science 88, 32493264.Google Scholar
Dann, HM, Litherland, NB, Underwood, JP, Bionaz, M, D’Angelo, A, McFadden, JW and Drackley, JK 2006. Diets during far-off and close-up dry periods affect periparturient metabolism and lactation in multiparous cows. Journal of Dairy Science 89, 35633577.CrossRefGoogle ScholarPubMed
Douglas, GN, Overton, TR, Bateman, HG II, Dann, HM and Drackley, JK 2006. Prepartal plane of nutrition, regardless of dietary energy source, affects periparturient metabolism and dry matter intake in Holstein cows. Journal of Dairy Science 89, 21412157.CrossRefGoogle ScholarPubMed
Drackley, JK 1999. Biology of dairy cows during the transition period: the final frontier? Journal of Dairy Science 82, 22592273.CrossRefGoogle ScholarPubMed
Drackley, JK, Overton, TR and Douglas, GN 2001. Adaptations of glucose and long-chain fatty acid metabolism in liver of dairy cows during the periparturient period. Journal of Dairy Science 84, E100E112.CrossRefGoogle Scholar
Edmonson, AJ, Lean, IJ, Weaver, LD, Farver, T and Webster, G 1989. A body condition scoring chart for Holstein dairy cows. Journal of Dairy Science 72, 6878.Google Scholar
Friggens, NC, Emmans, GC, Kyriazakis, I, Oldham, JD and Lewis, M 1998. Feed intake relative to stage of lactation for dairy cows consuming total mixed diets with a high or low ratio of concentrate to forage. Journal of Dairy Science 81, 22282239.Google Scholar
Friggens, NC, Andersen, JB, Larsen, T, Aaes, O and Dewhurst, R 2005. Priming the dairy cow for lactation: a review of dry cow feeding strategies. Animal Research 53, 453473.Google Scholar
Friggens, NC, Brun-Lafleur, L, Faverdin, P, Sauvant, D and Martin, O 2013. Advances in predicting nutrient partitioning in the dairy cow: recognizing the central role of genotype and its expression through time. Animal 7 (Suppl. 1), 89101.Google Scholar
German Society of Nutrition Physiology (GfE) 1991. Guidelines for determination of crude nutrient digestibility with ruminants (in German). Journal of Animal Physiology and Animal Nutrition 65, 229234.Google Scholar
German Society of Nutrition Physiology (GfE) 1995. Energetic feed evaluation for ruminants (in German). Proceedings of the Society of Nutrition Physiology 4, 121123.Google Scholar
German Society of Nutrition Physiology (GfE) 2001. Recommendations for the supply of energy and nutrients to dairy cows and heifers. Committee for requirement standards of the Society of Nutrition Physiology (in German). DLG-Verlag, Frankfurt am Main, Germany.Google Scholar
Giger, S and Sauvant, D 1983. Comparison of different methods for evaluation of digestibility coefficients of concentrate feeds in ruminants (in French). Annales de Zootechnie 32, 215246.Google Scholar
Grant, RJ and Albright, JL 1995. Feeding behavior and management factors during the transition period in dairy cattle. Journal of Animal Science 73, 27912803.Google Scholar
Grummer, RR, Mashek, DG and Hayirli, A 2004. Dry matter intake and energy balance in the transition period. Veterinary Clinics of North America: Food Animal Practice 20, 447470.Google Scholar
Holcomb, CS, Van Horn, HH, Head, HH, Hall, MB and Wilcox, CJ 2001. Effects of prepartum dry matter intake and forage percentage on postpartum performance of lactating dairy cows. Journal of Dairy Science 84, 20512058.CrossRefGoogle ScholarPubMed
Huhtanen, P 1998. Supply of nutrients and productive responses in dairy cows given diets based on restrictively fermented silage. Agricultural and Food Science 7, 219250.Google Scholar
Ingvartsen, KL, Andersen, HR and Foldager, J 1992. Effect of sex and pregnancy on feed intake capacity of growing cattle. Acta Agriculturae Scandinavica, Section A – Animal Science 42, 4046.CrossRefGoogle Scholar
Institut National de la Recherche Agronomique (INRA) 1989. Ruminant nutrition – recommended allowances and feed tables. John Libbey Eurotext, London, Paris.Google Scholar
Janovick, NA and Drackley, JK 2010. Prepartum dietary management of energy intake affects postpartum intake and lactation performance by primiparous and multiparous Holstein cows. Journal of Dairy Science 93, 30863102.CrossRefGoogle ScholarPubMed
Kirchgessner, M, Kreuzer, M and Roth-Maier, D 1986. Milk urea and protein content to diagnose energy and protein malnutrition of dairy cows. Archives of Animal Nutrition 36, 192197.Google ScholarPubMed
Knaus, W 2009. Dairy cows trapped between performance demands and adaptability. Journal of the Science of Food and Agriculture 89, 11071114.CrossRefGoogle Scholar
Kunz, PL, Blum, JW, Hart, IC, Bickel, H and Landis, J 1985. Effects of different energy intakes before and after calving on food intake, performance and blood hormones and metabolites in dairy cows. Animal Production 40, 219231.Google Scholar
Lapierre, H and Lobley, GE 2001. Nitrogen recycling in the ruminant: a review. Journal of Dairy Science 84 (suppl. E), E223E236.Google Scholar
Law, RA, Young, FJ, Patterson, DC, Kilpatrick, DJ, Wylie, ARG, Ingvartsen, KL, Hameleers, A, McCoy, MA, Mayne, CS and Ferris, CP 2011. Effect of precalving and postcalving dietary energy level on performance and blood metabolite concentrations of dairy cows throughout lactation. Journal of Dairy Science 94, 808823.CrossRefGoogle ScholarPubMed
Lins, M, Gruber, L and Obritzhauser, W 2003. Effect of prepartum energy supply on the intake, body weight, body condition, milk yield and metabolism of dairy cows: a review (in German). Übersichten zur Tierernährung 31, 75120.Google Scholar
McNamara, JP 1991. Regulation of adipose tissue metabolism in support of lactation. Journal of Dairy Science 74, 706719.CrossRefGoogle ScholarPubMed
McNamara, S, O’Mara, FP, Rath, M and Murphy, JJ 2003. Effects of different transition diets on dry matter intake, milk production, and milk composition in dairy cows. Journal of Dairy Science 86, 23972408.Google Scholar
National Research Council (NRC) 2001. Nutrient requirement of dairy cattle, 7th edition, National Academy Press, Washington, DC, USA.Google Scholar
Park, AF, Shirley, JE, Titgemeyer, EC, DeFrain, JM, Cochran, RC, Wickersham, EE, Nagaraja, TG and Johnson, DE 2011. Characterization of ruminal dynamics in Holstein dairy cows during the periparturient period. Journal of Animal Physiology and Animal Nutrition 95, 571582.CrossRefGoogle ScholarPubMed
Rabelo, E, Rezende, RL, Bertics, SJ and Grummer, RR 2003. Effects of transition diets varying in dietary energy density on lactation performance and ruminal parameters of dairy cows. Journal of Dairy Science 86, 916925.Google Scholar
Remppis, S, Steingass, H, Gruber, L and Schenkel, H 2011. Effects of energy intake on performance, mobilization and retention of body tissue, and metabolic parameters in dairy cows with special regard to effects of pre-partum nutrition on lactation – a review. Asian-Australasian Journal of Animal Sciences 24, 540572.Google Scholar
Roche, JR 2007. Milk production responses to pre- and postcalving dry matter intake in grazing cows. Livestock Science 110, 1224.Google Scholar
Russell, JB, O’Connor, JD, Fox, DG, Van Soest, PJ and Sniffen, CJ 1992. A net carbohydrate and protein system for evaluating cattle diets. I. Ruminal fermentation. Journal of Animal Science 70, 35513561.Google Scholar
Statistical Analysis Systems (SAS) Institute 2010. SAS/STAT 9.22 user’s guide. SAS Institute Inc, Cary, NC, USA.Google Scholar
Steinwidder, A and Gruber, L 2000. Feeding and animal factors influencing milk urea content of dairy cows (in German). Austrian Journal of Agricultural Research 51, 4957.Google Scholar
Tyrell, HF, Reynolds, CK and Baxter, HD 1990. Energy metabolism of Jersey and Holstein cows fed total mixed diets with or without whole cottonseed. Journal of Dairy Science 73 (suppl. 1), 192 (Abstr.).Google Scholar
Urdl, M, Gruber, L, Obritzhauser, W and Schauer, A (submitted). Metabolic parameters and their relationship to energy balance in multiparous Simmental, Brown Swiss and Holstein cows in the periparturient period as influenced by energy and nutrient supply pre- and post-calving.Google Scholar
Van Soest, PJ, Robertson, JB and Lewis, BA 1991. Methods for dietary fiber, neutral detergent fiber and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science 74, 35833597.Google Scholar
Weissbach, F and Kuhla, S 1995. Stoffverluste bei der Bestimmung des Trocken-massegehaltes von Silagen und Grünfutter: Entstehende Fehler und Möglichkeiten der Korrektur (in German). Übersichten zur Tierernährung 23, 189214.Google Scholar
Winkelman, LA, Elsasser, TH and Reynolds, CK 2008. Limit-feeding a high-energy diet to meet energy requirements in the dry period alters plasma metabolite concentrations but does not affect intake or milk production in early lactation. Journal of Dairy Science 91, 10671079.Google Scholar
Yan, T, Mayne, CS, Keady, TWJ and Agnew, RE 2006. Effects of dairy cow genotype with two planes of nutrition on energy partitioning between milk and body tissue. Journal of Dairy Science 89, 10311042.Google Scholar
ZAR (Association of Austrian Cattle Breeders) 2012. Cattle Breeding in Austria 2011, Vienna, 173p.Google Scholar