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Modelling of nutrient partitioning in growing pigs to predict their anatomical body composition. 1. Model description

Published online by Cambridge University Press:  09 March 2007

V. Halas ,
J. Dijkstra ,
L. Babinszky ,
M. W. A. Verstegen  and
W. J. J. Gerrits
V. Halas*
Affiliation:
University of Kaposvár, Faculty of Animal Science, Department of Animal Nutrition, P. O. Box 16, H-7400 Kaposvár, Hungary
J. Dijkstra
Affiliation:
Animal Nutrition Group, Wageningen University and Research Centre, Zodiac, Marijkeweg 40, 6709 PG Wageningen, The Netherlands
L. Babinszky
Affiliation:
University of Kaposvár, Faculty of Animal Science, Department of Animal Nutrition, P. O. Box 16, H-7400 Kaposvár, Hungary
M. W. A. Verstegen
Affiliation:
Animal Nutrition Group, Wageningen University and Research Centre, Zodiac, Marijkeweg 40, 6709 PG Wageningen, The Netherlands
W. J. J. Gerrits
Affiliation:
Animal Nutrition Group, Wageningen University and Research Centre, Zodiac, Marijkeweg 40, 6709 PG Wageningen, The Netherlands
*
*Corresponding author: Dr Veronika Halas, fax +36 82 313 562, email halas@mail.atk.u-kaposvar.hu
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Abstract

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A dynamic mechanistic model was developed for growing and fattening pigs. The aim of the model was to predict growth rate and the chemical and anatomical body compositions from the digestible nutrient intake of gilts (20–105 kg live weight). The model represents the partitioning of digestible nutrients from intake through intermediary metabolism to body protein and body fat. State variables of the model were lysine, acetyl-CoA equivalents, glucose, volatile fatty acids and fatty acids as metabolite pools, and protein in muscle, hide–backfat, bone and viscera and body fat as body constituent pools. It was assumed that fluxes of metabolites follow saturation kinetics depending on metabolite concentrations. In the model, protein deposition rate depended on the availability of lysine and of acetyl-CoA. The anatomical body composition in terms of muscle, organs, hide–backfat and bone was predicted from the chemical body composition and accretion using allometric relationships. Partitioning of protein, fat, water and ash in muscle, organs, hide–backfat and bone fractions were driven by the rates of muscle protein and body fat deposition. Model parameters were adjusted to obtain a good fit of the experimental data from literature. Differential equations were solved numerically for a given set of initial conditions and parameter values. In the present paper, the model is presented, including its parameterisation. The evaluation of the model is described in a companion paper.

Keywords

ModellingAnatomical body compositionChemical body compositionPig
Type
Research Article
Information
British Journal of Nutrition , Volume 92 , Issue 4 , October 2004 , pp. 707 - 723
Copyright
Copyright © The Nutrition Society 2004

References

Agricultural Research Council (1981) The Nutrient Requirements of Pigs London: Commonwealth Agricultural Bureaux.Google Scholar
Baldwin, L, France, J & Gill, M (1987) Metabolism of the lactating cow I. Animal elements of a mechanistic model. J Dairy Res 54, 77–105.Google Scholar
Bastianelli, D, Sauvant, D & Rerat, A (1996) Mathematical modelling of digestion and nutrient absorption in the pig. J Anim Sci 74, 1873–1887.Google Scholar
Bates, PC & Milward, DJ (1981) Characteristics of skeletal muscle growth and protein turnover in fast growing rat strains. Br J Nutr 46, 7–13.Google Scholar
Bergen, WG, Johnson, SE, Skjaerlund, DM, Babiker, AS, Ames, NK, Merkel, RA & Anderson, DB (1989) Muscle protein metabolism in finishing pigs fed ractopamine. J Anim Sci 67, 2255–2262.Google Scholar
Bikker, P, Karabinas, V, Versegen, MWA & Campbell, RG (1995) Protein and lipid accretion in body components of growing gilts (20–45 kg) as affected by energy intake. J Anim Sci 73, 2355–2363.Google Scholar
Bikker, P, Verstegen, MWA & Campbell, RG (1996 a) Performance and body composition of fattening gilts (45–85 kg) as affected by energy intake and nutrition in early life. 2. Protein and lipid accretion in body components. J Anim Sci 74, 817–826.Google Scholar
Bikker, P, Verstegen, MWA, Campbell, RG & Kemo, B (1994) Digestible lysine requirement of gilts with high genetic potential for lean gain, in relation to the level of energy intake. J Anim Sci 72, 1744–1753.Google Scholar
Bikker, P, Verstegen, MWA, Kemp, B & Bosch, MW (1996 b) Performance and body composition of fattening gilts (45–85 kg) as affected by energy intake and nutrition in early life. 1. Growth of the body and body compartments. J Anim Sci 74, 806–816.Google Scholar
Birkett, S, de Lange, K (2001 a) Limitations of conventional models and conceptual framework for a nutrient flow representation of energy utilization by animals. Br J Nutr 86, 647–659.CrossRefGoogle Scholar
Birkett, S, de Lange, K (2001 b) Calibration of nutrient flow model of energy utilization by growing pigs. Br J Nutr 86, 675–689.CrossRefGoogle ScholarPubMed
Black, JL (1995) The evolution of animal growth models. In Modelling Growth in the Pig, European Association of Animal Production Publication no 78, pp. 3–9 [Moughan, PJ, Verstegen, MWA, Visser-Reyneveld, MI, editors]. Wageningen: Wageningen Pers.Google Scholar
Black, PJ, Fleming, JF & Davies, GT (1988) AUSPIG: A computer program for the optimal management of pigs. Proc Aust Soc Anim Prod 17, 366Google Scholar
Burlacu, G, Burlacu, R, Columbeau, I & Alexandru, G (1989) Contributions to the study of the mathematical modelling of energy and protein metabolism simulation in fattening pigs. In Energy Metabolism of Farm Animals, European Association of Animal Publication no. 43, 211–214 [van de Honig, Y, Close, WH, editors]. Wageningen: Pudoc Wageningen.Google Scholar
Campbell, RG, Traverner, MR & Curic, DM (1984) Effect of feeding level and dietary protein content on the growth, body composition and rate of protein deposition in pigs growing from 45 to 90 kg. Anim Prod 38, 233–240.Google Scholar
Campbell, RG, Traverner, MR & Curic, DM (1985) The influence of feeding level on the protein requirement of pigs between 20 and 45 kg live weight. Anim Prod 40, 489–496.Google Scholar
Danfaer, A (1999) Carbohydrate and lipid metabolism. In A Quantitative Biology of the Pig, 333–362 [Kyriazakis, I, editor]. Wallingford, Oxon.: CAB International.Google Scholar
Danfaer, A (2000) A pig model for feed evaluation. In Modelling Nutrient Utilization in Farm Animals, 393–408 [Namara, PJ, France, J, Beever, D, editors]. Wallingford, Oxon.: CAB International.Google Scholar
Defa, L, Changting, X, Shiyan, Q, Jinhui, Z, Jonson, EW & Thacker, PA (1999) Effects of dietary threonine on performance, plasma parameters and immune function of growing pigs. Anim Feed Sci Technol 78, 179–188.Google Scholar
De Greef, KH (1992) Prediction of production. Nutrition induced tissue partitioning in growing pigs. PhD Thesis, Wageningen University, pp. 75–104.Google Scholar
De Greef, KH, Verstegen, MWA, Kemp, B, van der Togt, PL (1994) The effect of body weight and energy intake on the composition of deposited tissue in pigs. Anim Prod 58, 263–270.CrossRefGoogle Scholar
De Lange, CFM (1995) Framework for a simplified model to demonstrate principles of nutrient partitioning for growth in the pig. In Modelling Growth in the Pig. European Association of Animal Production Publication no. 78, pp. 71–86 [Moughan, PJ, Verstegen, MWA, Visser-Reyneveld, MI, editors]. Wageningen: Wageningen Pers.Google Scholar
Dunshea, FR, King, RH, Eason, PJ & Campbell, RG (1998) Interrelationships between dietary ractopamine, energy intake and sex in pigs. Aust J Agric Res 49, 565–574.Google Scholar
Field, RA, Riley, ML, Mello, FC, Corbridge, MH & Kotula, AW (1974) Bone composition in cattle, pigs and poultry. J Anim Sci 39, 493–499.CrossRefGoogle ScholarPubMed
France, J, Gill, M, Thronley, JHM & England, P (1987) A model of nutrient utilization and body composition in beef cattle. Anim Prod 44, 371–385.Google Scholar
Gerrits, WJJ & Dijkstra, J (2000) Modelling growth and wool production in ruminants. In Feeding Systems and Feed Evaluation Models, 343–361 [Theodorou, MK, France, J, editors]. Wallingford, Oxon.: CAB International.Google Scholar
Gerrits, WJJ, Dijkstra, J & Frances, J (1997) Description of a model integrating protein and energy metabolism in preruminant calves. J Nutr 127, 1229–1242.Google Scholar
Gill, M, Beever, DE & France, J (1989 a) Biochemical bases needed for the mathematical representation of whole animal metabolism. Nutr Res Rev 2, 181–200.Google Scholar
Gill, M, France, J, Summers, M, McBride, B & Milligan, LP (1989 b) Simulation of the energy costs associated with protein turnover and Na +, K + -transport in growing lambs. J Nutr 119, 1287–1299.Google Scholar
Gill, M, Thronley, JH, Black, JL, Oldham, JD & Beever, DE (1984) Simulation of the metabolism of absorbed energy-yielding nutrients in young sheep. Br J Nutr 52, 621–649.Google Scholar
Gu, Y, Schinckel, AP & Martin, TG (1992) Growth, development and carcass composition in five genotypes of swine. J Anim Sci 70, 1719–1729.Google Scholar
Halas, V & Babinszky, L (2000) Modelling of performance and protein and fat deposition in pigs: a review. Krmiva 42, 251–260.Google Scholar
Halas, V, Babinszky, L & Verstegen, MWA (2003) Conceptual paper for modelling protein and lipid accretion in different body parts of growing and fattening pigs. Arch Anim Nutr 57, 137–150.Google Scholar
Halas, V, Dijkstra, J, Babibszky, L, Verstegen, MWA & Gerrits, WJJ (2004) Modelling of nutrient partitioning in growing pigs to predict their anatomical composition. 2. Model evaluation. Br J Nutr 92, 725–734.CrossRefGoogle ScholarPubMed
Jørgensen, JN, Fernández, JA, Jørgensen, HH & Just, A (1985) Anatomical and chemical composition of female pigs and barrows of Danish Landrace related to nutrition. Z Tierphysiol Tierernahr Futtermittelkd 54, 253–263.CrossRefGoogle Scholar
Jones, SJ, Aberle, ED & Judge, MD (1986) Skeletal muscle protein turnover in broiler and layer chicks. J Anim Sci 62, 1576–1583.Google Scholar
Just Nielsen, A (1973) Anatomical and chemical composition of Danish Landrace pigs slaughtered at 90 kilograms live weight in relation to litter, sex and feed composition. J Anim Sci 36, 476–483.Google Scholar
Kennelly, JJ, Aherne, FX & Sauer, WC (1981) Volatile fatty-acid production in the hindgut of swine. Can J Anim Sci 61, 349–361.CrossRefGoogle Scholar
Kotarbinska, M (1971) The chemical composition of the body in growing pigs. Roczniki Nauk Rol B-93, 129–135.Google Scholar
Kramer, M & Scholten, H (2003) The smart approach to modelling and simulation. In Proceedings of EUROSIM 2001, Shaping Future with Simulation, The 4th International EUROSIM Congress, incorporating the 2nd Conference on Modelling and Simulation in Biology, Medicine and Biomedical Engineering, [Heemink, AW, Dekker, L, Arons, H der S, Smit, I and van Stijn, TL, editors]. Delft: TU Delft.Google Scholar
Larsen, T, Fernández, JA & Engberg, RM (2000) Bone turnover in growing pigs fed three levels of dietary calcium. J Anim Sci 80, 547–557.Google Scholar
Lizardo, R, van Milgen, J, Mourot, J, Noblet, J & Bonneau, M (2002) A nutritional model of fatty acid composition in the growing-finishing pig. Livest Prod Sci 75, 167–182.Google Scholar
Lovatto, PA & Sauvant, D (2003) Modeling homeorhetic and homeostatic controls of pig growth. J Anim Sci 81, 683–696.Google Scholar
Martin, AK & Blaxter, KL (1965) The energy cost of urea synthesis in sheep. In Energy Metabolism, pp. 83–91 [Blaxter, KL, editors]. London: Academic Press.Google Scholar
Maruyama, K, Stunde, ML & Swick, RW (1978) Growth and muscle protein turnover in the chick. Biochem J 176, 573–582.Google Scholar
Michael, P & Rerat, A (1998) Effect of adding sugar beet fiber and wheat bran to a starch diet on the absorption kinetics of glucose, amino-nitrogen and volatile fatty acids in the pig. Reprod Nutr Dev 38, 49–68.Google Scholar
Moughan, PJ (1989) Simulation of the daily partitioning of lysine in the 50 kg liveweight pig – a factorial approach to estimating amino acid requirements for growth and maintenance. Res Dev Agric 6, 7–14.Google Scholar
Moughan, PJ, Smith, WC & Pearson, G (1987) Description and validation of a model simulating growth in the pig (20–90 kg live weight). NZ J Agric Res 30, 481–489.Google Scholar
Mulvaney, DR, Merkel, RA & Bergen, WG (1985) Skeletal muscle protein turnover in young male pigs. J Nutr 115, 1057–1064.Google Scholar
Nelson, DL & Cox, MM (1982) Amino acid oxidation and the production of urea. In Lehninger Principles of Biochemistry, pp. 623–658 [Nelson, DL and Cox, MM, editors]. New York: Worth Publishers.Google Scholar
Noblet, J, Karege, C, Dubois, S, van Milgen, J (1999) Metabolic utilization of energy and maintenance requirements in growing pigs: effects of sex and genotype. J Anim Sci 77, 1208–1216.Google Scholar
Nürnberg, K & Wegner, J (1990) Fatty acid composition and adipocyte diameter of backfat in boars during growth. Arch Tierz 34, 51–56.Google Scholar
Pettigrew, JE, Gill, M, France, J & Close, WH (1992) A mathematical integration of energy and amino acid metabolism of lactating sows. J Anim Sci 70, 3742–3761.Google Scholar
Pomar, C, Harris, DL & Minvielle, F (1991) Computer simulation model of swine production systems: I. Modeling the growth of young pigs. J Anim Sci 69, 1468–1488.Google Scholar
Quiniou, N & Noblet, J (1995) Prediction of tissular body composition from protein and lipid deposition in growing pigs. J Anim Sci 73, 1567–1575.Google Scholar
Rapoport, SM, Dubiel, W & Muller, M (1985) Proteolysis of mitochondria in reticulicytes during maturation is ubiquitin-dependent and is accompanied by a high rate of ATP hydrolysis. Eur J Biochem 290, 249–252.Google Scholar
Rathmacher, JA, Nissen, LS, Paxton, RE & Anderson, DB (1996) Estimation of 3-methylhistidine production in pigs by compartmental analysis. J Anim Sci 74, 46–56.Google Scholar
Reeds, PJ, Fuller, MF & Nicholson, BA (1985) Metabolic bases of energy expenditure with particular reference to protein. In Substrate and Energy Metabolism in Man, 46–57 [Garrow, JS, Halliday, W, editors]. London: CRC.Google Scholar
Reeds, PJ, Nicholson, BA & Fuller, MF (1987) Contribution of protein synthesis to energy expenditure in vivo and in vitro. In Energy Metabolism of Farm Animals, Proceedings of the 11th Symposium, European Association for Animal Production Publication no. 32, pp. 6–9 [Moe, PW, Tyrrell, HF, Reynolds, PJ, editors]. Totowa, NJ: Rowman & Littlefield.Google Scholar
Riis, PM (1983) The pool of tissue constituents and products: proteins. In Dynamic Biochemistry of Animal Production, pp. 75–108 [Riis, MP, editors]. Copenhagen: Department of Animal Physiology, The Royal Veterinary and Agricultural University.Google Scholar
Rivest, J, Bernier, JF & Pomar, C (2000) A dynamic model of protein digestion in the small intestine of pigs. J Anim Sci 78, 328–340.Google Scholar
Schinckel, AP, de Lange, CFM (1996) Characterization of growth parameters needed as inputs for pig growth models. J Anim Sci 74, 2021–2036.Google Scholar
Simon, O (1989) Metabolism of proteins and amino acids. In Protein Metabolism in Farm Animals. Evaluation, Digestion, Absorption, and Metabolism, pp. 273–366 [Bock, H-D, Eggum, OB, Low, AG, Simon, O, Zebrowska, T, editors]. Oxford: Oxford University Press.Google Scholar
Smith, NE (1970), Modelling studies of ruminant metabolism, PhD Thesis, University of California, DavisGoogle Scholar
Stangl, GI, Müller, H & Kirchgessner, M (1999) Conjugated linolenic acid effects on circulating hormones, metabolites and lipoproteins, and its proportion in fasting serum and erythrocyte membranes of swine. Eur J Nutr 38, 271–277.Google Scholar
Stryer, L (1981) Biochemistry 2nd ed. San Francisco, CA Freeman and CompanyGoogle Scholar
Technisch Model Varkensvoeding (1991) Technisch Model Varkensvoeding (Technical Model for Pig Feeding). Infomatiemodel. Research Report P166 Rosmalen Research Institute for Pig HusbandryGoogle Scholar
Van den Hemel-Grooten, HN (1996) 3-Methylhistidine production and muscle proteinase activity in growing pigs. PhD Thesis, Wageningen University.Google Scholar
Walstra, P (1980) Growth and carcass composition from birth to maturity in relation to feeding level and sex in Dutch Landrace pigs. PhD Thesis, Wageningen University.Google Scholar
Whittemore, CT (1983) Development of recommended energy and protein allowances for growing pigs. Agric Syst 11, 159–186.Google Scholar
Whittemore, CT & Fawcet, RH (1976) Theoretical aspects of a flexible model to simulate protein and lipid growth in pigs. Anim Prod 22, 87–96.Google Scholar
Wijayasinghe, MS, Smith, NE & Baldwin, RL (1986) Effects of age, milk replacer and rumen function on lipogenesis and adipose tissue of young calves. J Dairy Sci 69, 2358–2369.Google Scholar
Wünsche, J, Borgmann, E, Hennig, U, Kreienbring, F & Bock, F (1983) Einfluss einer abgestuften proteinversorgung bei hohem energienveau auf die mastleistung sowie den ansatz und die verwertung von futterenergie, protein und aminosäuren durch weibliche mastschweine. (The influence of graded protein supply at a high energy level on the fattening performance and the retention and utilization of feed energy, protein and amino acids by female fattening pigs. 4. Nitrogen and amino acid content in the slaughtered bodies and parts of them). Arch Tiernahr 33, 389–413.Google Scholar