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A teleonomic model describing performance (body, milk and intake) during growth and over repeated reproductive cycles throughout the lifespan of dairy cattle. 1. Trajectories of life function priorities and genetic scaling

Published online by Cambridge University Press:  29 June 2010

O. Martin*
Affiliation:
UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), INRA-AgroParisTech, 16, rue Claude Bernard, 75231 Paris cedex 05, France
D. Sauvant
Affiliation:
UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), INRA-AgroParisTech, 16, rue Claude Bernard, 75231 Paris cedex 05, France
*
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Abstract

The prediction of the control of nutrient partitioning, particularly energy, is a major issue in modelling dairy cattle performance. The proportions of energy channelled to physiological functions (growth, maintenance, gestation and lactation) change as the animal ages and reproduces, and according to its genotype and nutritional environment. This is the first of two papers describing a teleonomic model of individual performance during growth and over repeated reproductive cycles throughout the lifespan of dairy cattle. The conceptual framework is based on the coupling of a regulating sub-model providing teleonomic drives to govern the work of an operating sub-model scaled with genetic parameters. The regulating sub-model describes the dynamic partitioning of a mammal female’s priority between life functions targeted to growth (G), ageing (A), balance of body reserves (R) and nutrient supply of the unborn (U), newborn (N) and suckling (S) calf. The so-called GARUNS dynamic pattern defines a trajectory of relative priorities, goal directed towards the survival of the individual for the continuation of the specie. The operating sub-model describes changes in body weight (BW) and composition, foetal growth, milk yield and composition and food intake in dairy cows throughout their lifespan, that is, during growth, over successive reproductive cycles and through ageing. This dynamic pattern of performance defines a reference trajectory of a cow under normal husbandry conditions and feed regimen. Genetic parameters are incorporated in the model to scale individual performance and simulate differences within and between breeds. The model was calibrated for dairy cows with literature data. The model was evaluated by comparison with simulations of previously published empirical equations of BW, body condition score, milk yield and composition and feed intake. This evaluation showed that the model adequately simulates these production variables throughout the lifespan, and across a range of dairy cattle genotypes.

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Copyright © The Animal Consortium 2010

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References

Abeni, F, Calamari, L, Stefanini, L, Pirlo, G 2000. Effects of daily gain in pre- and postpubertal replacement dairy heifers on body condition score, body size, metabolic profile, and future milk production. Journal of Dairy Science 83, 14681478.CrossRefGoogle ScholarPubMed
Baldwin, RL 1995. Modeling ruminant digestion and metabolism. Chapman & Hall, London, UK.Google Scholar
Baldwin, RL, France, J, Gill, M 1987a. Metabolism of the lactating cow. I. Animal elements of a mechanistic model. Journal of Dairy Research 54, 77105.CrossRefGoogle ScholarPubMed
Baldwin, RL, Thornley, JHM, Beever, DE 1987b. Metabolism of the lactating cow. II. Digestive elements of a mechanistic model. Journal of Dairy Research 54, 107131.CrossRefGoogle ScholarPubMed
Baldwin, RL, France, J, Beever, DE, Gill, M, Thornley, JHM 1987c. Metabolism of the lactating cow. III. Properties of mechanistic models suitable for evaluation of energetic relationships and factors involved in the partition of nutrients. Journal of Dairy Research 54, 133145.CrossRefGoogle 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, 15141529.CrossRefGoogle ScholarPubMed
Bernard, C 1865. Introduction à l’étude de la médecine expérimentale. Baillière, Paris, France.Google Scholar
Berry, DP, Veerkamp, RF, Dillon, P 2006. Phenotypic profiles for body weight, body condition score, energy intake, and energy balance across different parities and concentrate feeding levels. Livestock Science 104, 112.CrossRefGoogle Scholar
Blackburn, HD, Cartwright, TC 1987. Description and validation of the Texas A&M sheep simulation model. Journal of Animal Science 65, 373386.CrossRefGoogle Scholar
Bricage, P 2002. Héritage génétique, héritage épigénétique et héritage environnemental: de la bactérie à l’homme, le transformisme, une systémique du vivant. Symposium AFSCET, Evolution du vivant et du social: Analogies et differences. Retrieved July 4, 2008, from http://www.afscet.asso.fr/heritage.pdfGoogle Scholar
Brody, S 1924. The kinetics of senescence. The Journal of General Physiology 6, 245257.CrossRefGoogle ScholarPubMed
Brody, S, Ragsdale, AC, Turner, CW 1923. The rate of growth of the dairy cow. III. The relation between growth in weight and increase of milk secretion with age. The Journal of General Physiology 6, 2130.CrossRefGoogle ScholarPubMed
Broster, WH, Broster, VJ 1998. Body score of dairy cows. Journal of Dairy Research 65, 155173.CrossRefGoogle ScholarPubMed
Bryant, J, Lopez-Villalobos, N, Holmes, C, Pryce, J 2005. Simulation modelling of dairy cattle performance based on knowledge of genotype, environment and genotype by environment interactions: current status. Agricultural Systems 86, 121143.CrossRefGoogle Scholar
Cannon, WB 1929. Organization for physiological homeostasis. Physiological Reviews 9, 399431.CrossRefGoogle Scholar
Chalupa, W, Boston, R, Munson, R 2004. Dairy nutrition models: their forms and applications. In Nutritional biotechnology in the feed and food industries. Proceedings of Alltech’s 20th Annual Symposium: re-imagining the feed industry, Lexington, KY, USA (ed. TP Lyons and KA Jacques), pp. 187193. Nottingham University Press, Nottingham, UK.Google Scholar
Cherwell Scientific Ltd. 2000. Modelmaker user manual. Cherwell Scientific Ltd, Oxford, England.Google Scholar
Chilliard, Y, Robelin, J 1985. Activity of lipoprotein lipase in different adipose deposits and its relation to adipocyte size in the cow during fattening or early lactation. Reproduction Nutrition Development 25, 287293.CrossRefGoogle ScholarPubMed
Coulon, JB, Perochon, L, Lescourret, F 1995. Modelling the effect of the stage of pregnancy on dairy cow’s milk yield. Animal Science 60, 401408.CrossRefGoogle Scholar
Danfaer, A 1990. A dynamic model of nutrient digestion and metabolism in lactating dairy cows. Report no. 671. Beretning fra Statens Husdyrbrugsforsøg. National Institute of Animal Sciences, Foulum, Denmark.Google Scholar
Dijkstra, J, France, J, Dhanoa, MS, Maas, JA, Hanigan, MD, Rook, AJ, Beever, DE 1997. A model to describe growth patterns of the mammary gland during pregnancy and lactation. Journal of Dairy Science 80, 23402354.CrossRefGoogle Scholar
Doeschl-Wilson, AB, Knap, PW, Kinghorn, BP, Van der Steen, HAM 2007. Using mechanistic animal growth models to estimate genetic parameters of biological traits. Animal 1, 489499.CrossRefGoogle ScholarPubMed
Drame, ED, Hanzen, Ch, Houtain, JY, Laurent, Y, Fall, A 1999. Evolution of body condition score after calving in dairy cows. Annales de Médecine Vétérinaire 143, 265270.Google Scholar
Faverdin, P 1992. Dairy cow feeding: comparison of the different methods of prediction of dry matter intake. INRA Productions Animales 5, 271282.CrossRefGoogle Scholar
Faverdin, P, Delaby, L, Delagarde, R 2007. The feed intake in dairy cows and its prediction during lactation. INRA Productions Animales 20, 151162.CrossRefGoogle Scholar
Friggens, NC 2003. Body lipid reserves and the reproductive cycle: towards a better understanding. Livestock Production Science 83, 219236.CrossRefGoogle Scholar
Friggens, NC, Newbold, JR 2007. Towards a biological basis for predicting nutrient partitioning: the dairy cow as an example. Animal 1, 8797.CrossRefGoogle ScholarPubMed
Friggens, NC, Ingvartsen, KL, Emmans, GC 2004. Prediction of body lipid change in pregnancy and lactation. Journal of Dairy Science 87, 9881000.CrossRefGoogle ScholarPubMed
Garnsworthy, PC, Topps, JH 1982. The effect of body condition of dairy cows at calving on their food intake and performance when given complete diets. Animal Production 35, 113119.Google Scholar
Hoffman, PC 1997. Optimum body size of Holstein replacement heifers. Journal of Animal Science 75, 836845.CrossRefGoogle ScholarPubMed
Ingvartsen, KL 1994. Models of voluntary food intake in cattle. Livestock Production Science 39, 1938.CrossRefGoogle Scholar
Jenness, R 1985. Biochemical and nutritional aspects of milk and colostrums. In Lactation (ed. BL Larson), pp. 164197. The Iowa State University Press, Ames, IA, USA.Google Scholar
Kennedy, GC 1967. Ontogeny of mechanisms controlling food and water intake. In Handbook of physiology. Section 6: alimentary canal. Volume I: control of food and water intake (ed. CF Code), pp. 337352. American Physiological Society, Washington, DC, USA.Google Scholar
Kertz, AF, Reutzel, LF, Barton, BA, Ely, RL 1997. Body weight, body condition score, and wither height of prepartum Holstein cows and birth weight and sex of calves by parity: a database and summary. Journal of Dairy Science 80, 525529.CrossRefGoogle ScholarPubMed
Koenen, EPC, Veerkamp, RF, Dobbelaar, P, De Jong, G 2001. Genetic analysis of body condition score of lactating Dutch Holstein and Red-and-White heifers. Journal of Dairy Science 84, 12651270.CrossRefGoogle ScholarPubMed
Laird, AK 1966. Dynamics of embryonic growth. Growth 30, 263275.Google ScholarPubMed
Mao, IL, Sloniewski, K, Madsen, P, Jensen, J 2004. Changes in body condition score and in its genetic variation during lactation. Livestock Production Science 89, 5565.CrossRefGoogle Scholar
Martin, O, Sauvant, D 2002. Metaanalysis of input/output kinetics in lactating dairy cows. Journal of Dairy Science 85, 33633381.CrossRefGoogle ScholarPubMed
Martin, O, Sauvant, D 2007. Dynamic model of the lactating dairy cow metabolism. Animal 1, 11431166.CrossRefGoogle ScholarPubMed
Martin, O, Sauvant, D 2010. A teleonomic model describing performance (body, milk and intake) during growth and over repeated reproductive cycles throughout the lifespan of dairy cattle. 2. Voluntary intake and energy partitioning. Animal 4, 20482056.CrossRefGoogle ScholarPubMed
McNamara, JP 1997. Adipose tissue metabolism during lactation: where do we go from here? Proceedings of the Nutrition Society 56, 149167.CrossRefGoogle Scholar
Monod, J 1970. Le Hasard et la Nécessité: Essai sur la philosophie naturelle de la biologie moderne. Le Seuil, Paris, France.Google Scholar
Mulvany, PM 1977. Dairy cow condition scoring. Paper no. 4468. National Institute for Research in Dairying, Reading, UK.Google Scholar
Neal, HDSC, Thornley, JHM 1983. The lactation curve in cattle: a mathematical model of the mammary gland. Journal of Agricultural Science 101, 389400.CrossRefGoogle Scholar
Oftedal, OT 2000. Use of maternal reserves as a lactation strategy in large mammals. Proceedings of the Nutrition Society 59, 99106.CrossRefGoogle ScholarPubMed
O’Mahony, F 1988. Rural dairy technology. ILCA Manual no. 4. International Livestock Centre for Africa, Addis Ababa, Ethiopia.Google Scholar
Ostersen, S, Foldager, J, Hermansen, JE 1997. Effects of lactation, milk protein genotpe and body condition at calving on protein composition and renneting properties of bovine milk. Journal of Dairy Research 64, 207219.CrossRefGoogle Scholar
Owens, FN, Dubeski, P, Hanson, CF 1993. Factors that alter the growth and development of ruminants. Journal of Animal Science 71, 31383150.CrossRefGoogle ScholarPubMed
Petruzzi, H, Danfaer, A 2004. A dynamic model of feed intake regulation in dairy cows. Model description. Journal of Animal and Feed Sciences 13, 123.CrossRefGoogle Scholar
Pollott, GE 2004. Deconstructing milk yield and composition during lactation using biologically based lactation models. Journal of Dairy Science 87, 23752387.CrossRefGoogle ScholarPubMed
Pond, CM 1984. Physiological and ecological importance of energy storage in the evolution of lactation: evidence for a common pattern of anatomical organization of adipose tissue in mammals. Symposium of the Zoological Society of London 51, 132.Google Scholar
Puillet, L, Martin, O, Tichit, M, Sauvant, D 2008. Simple representation of physiological regulations in a model of lactating female: application to the dairy goat. Animal 2, 235246.CrossRefGoogle Scholar
Roche, JR 2003. Effect of pregnancy on milk production and bodyweight from identical twin study. Journal of Dairy Science 86, 777783.CrossRefGoogle ScholarPubMed
Roseler, DK, Fox, DG, Chase, LE, Pell, AN, Stone, WC 1997. Evaluation of alternative equations for prediction of intake for Holstein dairy cows. Journal of Dairy Science 80, 864877.CrossRefGoogle ScholarPubMed
Rotz, CA, Mertens, DR, Buckmaster, DR, Allen, MS, Harrison, JH 1999. A dairy herd model for use in whole farm simulations. Journal of Dairy Science 82, 28262840.CrossRefGoogle ScholarPubMed
Ruegg, PL, Milton, RL 1995. Body condition scores of Holstein cows on Prince Edward Island, Canada: relationships with yield, reproductive performance and disease. Journal of Dairy Science 78, 552564.CrossRefGoogle ScholarPubMed
Sauvant, D 1992. Systemic modeling in nutrition. Reproduction Nutrition Development 32, 217230.CrossRefGoogle ScholarPubMed
Sauvant, D 1996. A comparative evaluation of models of lactating ruminant. Annales de Zootechnie 45 (suppl. 1), 215235.CrossRefGoogle Scholar
Sauvant, D, Phocas, F 1992. A mechanistic model to simulate the long term regulation of the dairy cow nutrition. Journal of Dairy Science 75 (suppl. 1), 168.Google Scholar
Schutz, MM, Hansen, LB, Steuernagel, GR, Kuck, AL 1990. Variation of milk, fat, protein, and somatic cells for dairy cattle. Journal of Dairy Science 73, 484493.CrossRefGoogle Scholar
Shamay, A, Werner, D, Moallem, U, Barash, H, Bruckental, I 2005. Effect of nursing management and skeletal size at weaning on puberty, skeletal growth rate, and milk production during first lactation of dairy heifers. Journal of Dairy Science 88, 14601469.CrossRefGoogle ScholarPubMed
Sorensen, JT, Kristensen, ES, Thysen, I 1992. A stochastic model simulating the dairy herd on a PC. Agricultural Systems 39, 177200.CrossRefGoogle Scholar
Tedeschi, LO, Fox, DG, Sainz, RD, Barioni, LG, Raposo de Medeiros, S, Boin, C 2005. Mathematical models in ruminant nutrition. Scientia Agricola 62, 7691.CrossRefGoogle Scholar
Tess, MW, Kolstad, BW 2000. Simulation of cow-calf production systems in a range environment: I. Model development. Journal of Animal Science 78, 11591169.CrossRefGoogle Scholar
Thornley, J, France, J 2007. Mathematical models in agriculture, 2nd edition. CABI Publishing, Wallingford, UK.Google Scholar
Turner, CW 1928. Growth in weight of Guernsey cows after the age of two years. Journal of Dairy Science 11, 265269.CrossRefGoogle Scholar
Van Amburgh, ME, Galton, DM, Bauman, DE, Everett, RW, Fox, DG, Chase, LE, Erb, HN 1998. Effects of three prepubertal body growth rates on performance of Holstein Heifers during first lactation. Journal of Dairy Science 81, 527538.CrossRefGoogle ScholarPubMed
Vernon, RG, Flint, DJ 1984. Adipose tissue: metabolic adaptation during lactation. Symposium of the Zoological Society of London 51, 119140.Google Scholar
Vernon, RG, Barber, MC, Travers, MT 1999. Present and future studies on lipogenesis in animals and man. INRA Productions Animales 12, 319327.CrossRefGoogle Scholar
Vetharaniam, I, Davis, SR, Soboleva, TK, Shorten, PR, Wake, GC 2003a. Modeling the interaction of milking frequency and nutrition on mammary gland growth and lactation. Journal of Dairy Science 86, 19871996.CrossRefGoogle ScholarPubMed
Vetharaniam, I, Davis, SR, Upsdell, M, Kolver, ES, Pleasants, AB 2003b. Modeling the effect of energy status on mammary gland growth and lactation. Journal of Dairy Science 86, 31483156.CrossRefGoogle ScholarPubMed
Waddington, CH 1957. The strategy of the genes. A discussion of some aspects of theoretical biology. George Allen and Unwin, London, UK.Google Scholar
Wade, GN, Schneider, JE 1992. Metabolic fuels and reproduction in female mammals. Neuroscience and Biobehavioral Reviews 16, 235272.CrossRefGoogle ScholarPubMed
Waltner, SS, McNamara, JP, Hillers, JK 1993. Relationships of body condition score to production variables in high producing Holstein dairy cattle. Journal of Dairy Science 76, 34103419.CrossRefGoogle ScholarPubMed
West, GB, Brown, JH, Enquist, BJ 2001. A general model for ontogenetic growth. Nature 413 (6856), 628631.CrossRefGoogle ScholarPubMed
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