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Precision feeding can significantly reduce lysine intake and nitrogen excretion without compromising the performance of growing pigs

Published online by Cambridge University Press:  13 January 2016

I. Andretta ,
C. Pomar ,
J. Rivest ,
J. Pomar  and
J. Radünz
I. Andretta
Affiliation:
Dairy and Swine Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada, J1M 0C8 Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS 91540-000, Brazil
C. Pomar*
Affiliation:
Dairy and Swine Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada, J1M 0C8
J. Rivest
Affiliation:
Centre de développement du porc du Québec, Sainte-Foy, QC, Canada, G1V 4M7
J. Pomar
Affiliation:
Department of Agricultural Engineering, Universitat de Lleida, Lleida 25198, Spain
J. Radünz
Affiliation:
Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS 91540-000, Brazil
*
†E-mail: [email protected]
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Abstract

This study was developed to assess the impact on performance, nutrient balance, serum parameters and feeding costs resulting from the switching of conventional to precision-feeding programs for growing–finishing pigs. A total of 70 pigs (30.4±2.2 kg BW) were used in a performance trial (84 days). The five treatments used in this experiment were a three-phase group-feeding program (control) obtained with fixed blending proportions of feeds A (high nutrient density) and B (low nutrient density); against four individual daily-phase feeding programs in which the blending proportions of feeds A and B were updated daily to meet 110%, 100%, 90% or 80% of the lysine requirements estimated using a mathematical model. Feed intake was recorded automatically by a computerized device in the feeders, and the pigs were weighed weekly during the project. Body composition traits were estimated by scanning with an ultrasound device and densitometer every 28 days. Nitrogen and phosphorus excretions were calculated by the difference between retention (obtained from densitometer measurements) and intake. Feeding costs were assessed using 2013 ingredient cost data. Feed intake, feed efficiency, back fat thickness, body fat mass and serum contents of total protein and phosphorus were similar among treatments. Feeding pigs in a daily-basis program providing 110%, 100% or 90% of the estimated individual lysine requirements also did not influence BW, body protein mass, weight gain and nitrogen retention in comparison with the animals in the group-feeding program. However, feeding pigs individually with diets tailored to match 100% of nutrient requirements made it possible to reduce (P<0.05) digestible lysine intake by 26%, estimated nitrogen excretion by 30% and feeding costs by US$7.60/pig (−10%) relative to group feeding. Precision feeding is an effective approach to make pig production more sustainable without compromising growth performance.

Keywords

nutritionnutrient requirementsprecision feedingproteinswine
Type
Research Article
Information
animal , Volume 10 , Issue 7 , July 2016 , pp. 1137 - 1147
Copyright
© The Animal Consortium and Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada 2016 

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References

Agriculture and Agri-Food Canada 1993. Recommended code of practice for the care and handling of farm animals: pigs. Publication 1898/E. AAFC, Ottawa, ON, Canada.Google Scholar
Andretta, I, Pomar, C, Rivest, J, Pomar, J, Lovatto, PA and Neto, JR 2014. The impact of feeding growing–finishing pigs with daily tailored diets using precision feeding techniques on animal performance, nutrient utilization, and body and carcass composition. Journal of Animal Science 92, 3925–3936.CrossRefGoogle ScholarPubMed
Association of Official Analytical Chemists (AOAC) 1990. Official methods of analysis, 15th edition. AOAC , Arlington, VA, USA.Google Scholar
Borucki Castro, SI, Phillip, LE, Lapierre, H, Jardon, PW and Berthiaume, R 2007. Ruminal degradability and intestinal digestibility of protein and amino acids in treated soybean meal products. Journal of Dairy Science 90, 810–822.CrossRefGoogle ScholarPubMed
Bourdon, D, Dourmad, J-Y and Henry, Y 1995. Réduction des rejets azotés chez le porc en croissance par la mise en oeuvre de l’alimentation multiphase, associée à l’abaissement du taux azoté. Journées de la Recherche Porcine en France 27, 269–278.Google Scholar
Brossard, L, Dourmad, J-Y, Rivest, J and van Milgen, J 2009. Modelling the variation in performance of a population of growing pig as affected by lysine supply and feeding strategy. Animal 3, 1114–1123.CrossRefGoogle ScholarPubMed
Brossard, L, Vautier, B, van Milgen, J, Salaun, Y and Quiniou, N 2014. Comparison of in vivo and in silico growth performance and variability in pigs when applying a feeding strategy designed by simulation to control the variability of slaughter weight. Animal Production Science 54, 1939–1945.CrossRefGoogle Scholar
Cai, Y, Zimmerman, DR and Ewan, RC 1994. Diurnal variation in concentrations of plasma urea nitrogen and amino acids in pigs given free access to feed or fed twice daily. Journal of Nutrition 124, 1088–1093.CrossRefGoogle ScholarPubMed
Calder, AG, Garden, KE, Anderson, SE and Lobley, GE 1999. Quantitation of blood and plasma amino acids using isotope dilution electron impact gas chromatography/mass spectrometry with U-13C amino acids as internal standards. Rapid Communications in Mass Spectrometry 13, 2080–2083.3.0.CO;2-O>CrossRefGoogle Scholar
Canadian Council on Animal Care 2009. CCAC guidelines on: the care and use of farm animals in research, teaching and testing. CCAC, Ottawa, ON, Canada.Google Scholar
Cloutier, L, Pomar, C, Létourneau-Montminy, M-P, Bernier, JF and Pomar, J 2014. Evaluation of a method estimating real-time individual lysine requirements in two lines of growing-finishing pigs. Animal 9, 561–568.CrossRefGoogle ScholarPubMed
Hauschild, L, Lovatto, PA, Pomar, J and Pomar, C 2012. Development of sustainable precision farming systems for swine: estimating real-time individual amino acid requirements in growing-finishing pigs. Journal of Animal Science 90, 2255–2263.CrossRefGoogle ScholarPubMed
Hauschild, L, Pomar, C and Lovatto, PA 2010. Systematic comparison of the empirical and factorial methods used to estimate the nutrient requirements of growing pigs. Animal 4, 714–723.CrossRefGoogle ScholarPubMed
Huntington, GB 1984. Net absorption of glucose and nitrogenous compounds by lactating Holstein cows. Journal of Dairy Science 671, 1919–1927.CrossRefGoogle Scholar
Jondreville, C and Dourmad, J-Y 2005. Le phosphore dans la nutrition des porcs. INRA Productions Animales 18, 183–192.CrossRefGoogle Scholar
Jongbloed, AW, Everts, H, Kemme, PA and Mroz, Z 1999. Quantification of absorbability and requirements of macroelements. In A quantitative biology of the pig (ed. I Kyriazakis), pp. 275–298. CABI Publishing, Wallingford, UK.Google Scholar
Létourneau-Montminy, MP, Narcy, A, Dourmad, JY, Crenshaw, TD and Pomar, C 2015. Modeling the metabolic fate of dietary phosphorus and calcium and the dynamics of body ash content in growing pigs. Journal of Animal Science 93, 1200–1217.CrossRefGoogle ScholarPubMed
Mahan, DC and Shields, RG Jr 1998. Essential and nonessential amino acid composition of pigs from birth to 145 kilograms of body weight, and comparison to other studies. Journal of Animal Science 76, 513–521.CrossRefGoogle ScholarPubMed
Merkatoris, PT, Rortvedt, LA and Crenshaw, TD 2012. Estimates of relative bioavailability of monocalcium and dicalcium phosphates based on whole body DXA scans to determine the efficiency of dietary phosphorus use by growing pigs. Journal of Animal Science 90 (suppl. 3), 565 (Abstract).Google Scholar
Möhn, S, Gillis, AM, Moughan, PJ and de Lange, CF 2000. Influence of dietary lysine and energy intakes on body protein deposition and lysine utilization in the growing pig. Journal of Animal Science 78, 1510–1519.CrossRefGoogle ScholarPubMed
National Research Council (NRC) 2012. Nutrient requirements of swine, 11th revised edition. National Academies Press, Washington, DC, USA.Google Scholar
Nicodemo, ML, Scott, D, Buchan, W, Duncan, A and Robins, SP 1998. Effects of variations in dietary calcium and phosphorus supply on plasma and bone osteocalcin concentrations and bone mineralization in growing pigs. Experimental Physiology 83, 659–665.CrossRefGoogle ScholarPubMed
Nielsen, AJ 1973. Anatomical and chemical composition of Danish Landrace pigs slaughtered at 90 kilograms live weight in relation to litter, sex and feed composition. Journal of Animal Science 36, 476–483.CrossRefGoogle Scholar
Niemi, JK, Sevón-Aimonen, M-L, Pietola, K and Stalder, KJ 2010. The value of precision feeding technologies for grow–finish swine. Livestock Science 129, 13–23.CrossRefGoogle Scholar
Noblet, J and Quiniou, N 1999. Principaux facteurs de variation du besoin en acides aminés du porc en croissance. Techni-Porc 22, 9–16.Google Scholar
Pomar, C, Hauschild, L, Zhang, GH, Pomar, J and Lovatto, PA 2010. Precision feeding can significantly reduce feeding cost and nutrient excretion in growing animals. In Modelling nutrient digestion and utilisation in farm animals (ed. D Sauvant, J van Milgen, P Faverdin and N Friggens), pp. 327–334. Wageningen Academic Publishers, Wageningen, The Netherlands.Google Scholar
Pomar, C, Jondreville, C, Dourmad, J-Y and Bernier, J 2006. Influence du niveau de phosphore des aliments sur les performances zootechniques et la rétention corporelle de calcium, phosphore, potassium, sodium, magnésium, fer et zinc chez le porc de 20 à 100 kg de poids vif. Journées de la Recherche Porcine 38, 209–216.Google Scholar
Pomar, C, Kyriazakis, I, Emmans, GC and Knap, PW 2003. Modeling stochasticity: dealing with populations rather than individual pigs. Journal of Animal Science 81, E178–E186.Google Scholar
Pomar, C, Pomar, J, Dubeau, F, Joannopoulos, E and Dussault, J-P 2014a. The impact of daily multiphase feeding on animal performance, body composition, nitrogen and phosphorus excretions, and feed costs in growing–finishing pigs. Animal 8, 704–713.CrossRefGoogle ScholarPubMed
Pomar, C, Pomar, J, Rivest, J, Cloutier, L, Letourneau-Montminy, MP, Andretta, I and Hauschild, L 2014b. Estimating real-time individual amino acid requirements in growing-finishing pigs: towards a new definition of nutrient requirements?. In Modelling in pig and poultry production (ed. R Gous and I Kyriazakis), pp. 157–174. CAB International, Wallingford, UK.Google Scholar
Pomar, C and Rivest, J 1996. The effect of body position and data analysis on the estimation of body composition of pigs by dual energy X-ray absorptiometry (DEXA). Proceedings of the 46th Annual Conference of the Canadian Society of Animal Science, 7–11 July 1996, Lethbridge, AB, Canada, 26pp.Google Scholar
Pomar, J, López, V and Pomar, C 2011. Agent-based simulation framework for virtual prototyping of advanced livestock precision feeding systems. Computers and Electronics in Agriculture 78, 88–97.CrossRefGoogle Scholar
Remus, A, Pomar, C and Hauschild, L 2015. Amino acids requirements of growing pigs differ between different factorial methods. Journal of Animal Science 93 (suppl. 2), 49 (Abstract).Google Scholar
van Milgen, J, Valancogne, A, Dubois, S, Dourmad, J-Y, Sève, B and Noblet, J 2008. InraPorc: a model and decision support tool for the nutrition of growing pigs. Animal Feed Science and Technology 143, 387–405.CrossRefGoogle Scholar
Wathes, CM, Kristensen, HH, Aerts, J-M and Berckmans, D 2008. Is precision livestock farming an engineer’s daydream or nightmare, an animal’s friend or foe, and a farmer’s panacea or pitfall? Computers and Electronics in Agriculture 64, 2–10.CrossRefGoogle Scholar
Zervas, S and Zijlstra, RT 2002. Effects of dietary protein and fermentable fiber on nitrogen excretion patterns and plasma urea in grower pigs. Journal of Animal Science 80, 3247–3256.CrossRefGoogle ScholarPubMed
Zhang, GH, Pomar, C, Pomar, J and Del Castillo, JRE 2012. L’alimentation de précision chez le porc charcutier : Estimation des niveaux dynamiques de lysine digestible nécessaires à la maximisation du gain de poids. Journées de la Recherche Porcine 44, 171–176.Google Scholar