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Simulated amino acid requirements of growing pigs differ between current factorial methods

Published online by Cambridge University Press:  04 November 2019

A. Remus
Affiliation:
Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, QC J1M 0C8, CanadaDepartment of Animal Science, School of Agricultural and Veterinary Studies, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
L. Hauschild
Affiliation:
Department of Animal Science, School of Agricultural and Veterinary Studies, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
C. Pomar*
Affiliation:
Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, QC J1M 0C8, CanadaDepartment of Animal Science, School of Agricultural and Veterinary Studies, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
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Abstract

Significant differences in the estimation of amino acid requirements exist between the available factorial methods. This study aimed to compare current factorial models used to estimate the individual and population standardised ileal digestible (SID) lysine (Lys) requirements of growing pigs during a 26-day feeding phase. Individual daily feed intake and BW data from 40 high-performance pigs (25-kg initial BW) were smoothed by linear regression. Body weight gain was constant (regression slope not different from 0) for all the pigs. The CV of the SID Lys requirements ranged from 22% at the beginning of the trial to 8% at the end. The population Brazilian tables (BT-2017) and National Research Council (NRC-2012) SID Lys requirements for the average pig were 16% higher than the average requirement estimated by the individual precision-feeding model (IPF), but similar to the estimated for the population assuming that population requirements are those of the 80th-percentile pig of the population (IPF-80). Meaning that, the IPF-80, BT-2017, and NRC-2012 models would yield similar recommendations when pigs are group-fed in conventional multi-phase systems. Additionally, the IPF-80 estimates are independent of the phase length, whereas the BT-2017 and NRC-2012 models use average population values in the middle of the feeding phase for the calculations and therefore, conventional requirement estimations decrease as the length of the feeding phase increases. In conclusion, the BT-2017 and NRC-2012 methods were calibrated for maximum population responses, which explains why these methods yield higher values than those estimated for the average pig by the IPF model. This study shows the limitations of conventional factorial methods to estimate amino acid requirements for precision-feeding systems.

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Type
Research Article
Copyright
© Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada 2019 

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