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Phosphorus and calcium requirements for bone mineralisation of growing pigs predicted by mechanistic modelling

Published online by Cambridge University Press:  01 July 2020

M. Lautrou Open the ORCID record for M. Lautrou [Opens in a new window] ,
C. Pomar ,
J.-Y. Dourmad ,
A. Narcy ,
P. Schmidely  and
M. P. Létourneau-Montminy
M. Lautrou*
Affiliation:
Département des sciences animales, Université Laval, Québec, QC, G1V 0A6Canada Agriculture et Agroalimentaire Canada, Sherbrooke, QC, J1M 1Z3Canada UMR Modélisation Systémique Appliquée aux Ruminants, INRA, AgroParisTech, Université Paris-Saclay, 75005Paris, France
C. Pomar
Affiliation:
Agriculture et Agroalimentaire Canada, Sherbrooke, QC, J1M 1Z3Canada
J.-Y. Dourmad
Affiliation:
PEGASE, Agrocampus Ouest, INRA, 35590Saint-Gilles, France
A. Narcy
Affiliation:
UMR Biologie des oiseaux et aviculture, INRA, 37380Nouzilly, France
P. Schmidely
Affiliation:
UMR Modélisation Systémique Appliquée aux Ruminants, INRA, AgroParisTech, Université Paris-Saclay, 75005Paris, France
M. P. Létourneau-Montminy
Affiliation:
Département des sciences animales, Université Laval, Québec, QC, G1V 0A6Canada
*
†E-mail: [email protected]
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Abstract

Phosphorus (P) is an essential nutrient in livestock feed but can pollute waterways. In order for pig production to become less of a threat to the environment, excreta must contain as little P as possible or be efficiently used by plants. This must be achieved without decreasing the livestock performance. Phosphorus and calcium (Ca) deposition in the bones of growing pigs must be optimised without affecting the muscle gain. This requires precision feeding based on cutting-edge techniques of diet formulation throughout the animal growth phase. Modelling and data mining have become important tools in this quest. In this study, a mechanistic model taking into account the distribution of P between bone and soft tissues was compared to the established factorial models (INRA (Jondreville and Dourmad, 2005) and NRC (National Research Council, 2012)) that predict P (apparent total tract digestible, ATTD-P; or standardised total tract digestible, STTD-P) and Ca (total and STTD) requirements as a function of BW and protein deposition. The requirements for different bone mineralisation scenarios, namely, 100% and 85% of the genetic potential, were compared with these two models. Sobol indices were used to estimate the relative impact of growth-related parameters on mineral requirements at 30, 60 and 120 kg of BW. The INRA showed the highest value of ATTD-P requirement between 29 and 103 kg of BW (6%) and lower for lighter and higher BW. Similarly, the model for 85% bone mineralisation showed lower STTD-P requirement than NRC between 29 and 93 kg of BW (7%) and higher for lighter and higher BW. Contrary to other models, the Ca requirement of the proposed model is not fixed in relation to P. It increases from 95 kg of BW while the others decrease. The INRA showed the highest Ca requirements. The model Ca requirements for 100% bone mineralisation are higher than NRC from 20 to 38 kg of BW similar until 70 kg of BW and then higher again. For 85% objective, the model showed lower Ca requirements from 25 to 82 kg of BW and higher for lighter and higher BW. The potential Ca deposition in bones is the most sensitive parameter (84% to 100% of the variance) of both ATTD-P and Ca at 30, 60 and 120 kg. The second most sensitive parameter is the protein deposition, explaining 1% to 15% of the ATTD-P variance. Studies such as this one will help to usher in a new era of sustainable and eco-friendly livestock production.

Keywords

modelmineralsswinepredictionneed
Type
Research Article
Information
animal , Volume 14 , Issue S2: 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT) , August 2020 , pp. s313 - s322
Copyright
© Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada and The Author(s), 2020. Published by Cambridge University Press on behalf of The Animal Consortium

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