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A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods
Recent technological advances make it possible to deliver feeding strategies that can be tailored to the needs of individual pigs in order to optimise the allocation of nutrient resources and contribute toward reducing excess nutrient excretion. However, these efforts are currently hampered by the c...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360350/ https://www.ncbi.nlm.nih.gov/pubmed/34395575 http://dx.doi.org/10.3389/fvets.2021.689206 |
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author | Misiura, Maciej M. Filipe, Joao A. N. Kyriazakis, Ilias |
author_facet | Misiura, Maciej M. Filipe, Joao A. N. Kyriazakis, Ilias |
author_sort | Misiura, Maciej M. |
collection | PubMed |
description | Recent technological advances make it possible to deliver feeding strategies that can be tailored to the needs of individual pigs in order to optimise the allocation of nutrient resources and contribute toward reducing excess nutrient excretion. However, these efforts are currently hampered by the challenges associated with: (1) estimation of unobserved traits from the available data on bodyweight and feed consumption; and (2) characterisation of the distributions and correlations of these unobserved traits to generate accurate estimates of individual level variation among pigs. Here, alternative quantitative approaches to these challenges, based on the principles of inverse modelling and separately inferring individual level distributions within a Bayesian context were developed and incorporated in a proposed precision feeding modelling framework. The objectives were to: (i) determine the average and distribution of individual traits characterising growth potential and body composition in an empirical population of growing-finishing barrows and gilts; (ii) simulate the growth and excretion of nitrogen and phosphorus of the average pig offered either a commercial two-phase feeding plan, or a precision feeding plan with daily adjustments; and (iii) simulate the growth and excretion of nitrogen and phosphorus across the pig population under two scenarios: a two-phase feeding plan formulated to meet the nutrient requirements of the average pig or a precision feeding plan with daily adjustments for each and every animal in the population. The distributions of mature bodyweight and ratio of lipid to protein weights at maturity had median (IQR) values of 203 (47.8) kg and 2.23 (0.814) kg/kg, respectively; these estimates were obtained without any prior assumptions concerning correlations between the traits. Overall, it was found that a proposed precision feeding strategy could result in considerable reductions in excretion of nitrogen and phosphorus (average pig: 8.07 and 9.17% reduction, respectively; heterogenous pig population: 22.5 and 22.9% reduction, respectively) during the growing-finishing period from 35 to 120 kg bodyweight. This precision feeding modelling framework is anticipated to be a starting point toward more accurate estimation of individual level nutrient requirements, with the general aim of improving the economic and environmental sustainability of future pig production systems. |
format | Online Article Text |
id | pubmed-8360350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83603502021-08-13 A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods Misiura, Maciej M. Filipe, Joao A. N. Kyriazakis, Ilias Front Vet Sci Veterinary Science Recent technological advances make it possible to deliver feeding strategies that can be tailored to the needs of individual pigs in order to optimise the allocation of nutrient resources and contribute toward reducing excess nutrient excretion. However, these efforts are currently hampered by the challenges associated with: (1) estimation of unobserved traits from the available data on bodyweight and feed consumption; and (2) characterisation of the distributions and correlations of these unobserved traits to generate accurate estimates of individual level variation among pigs. Here, alternative quantitative approaches to these challenges, based on the principles of inverse modelling and separately inferring individual level distributions within a Bayesian context were developed and incorporated in a proposed precision feeding modelling framework. The objectives were to: (i) determine the average and distribution of individual traits characterising growth potential and body composition in an empirical population of growing-finishing barrows and gilts; (ii) simulate the growth and excretion of nitrogen and phosphorus of the average pig offered either a commercial two-phase feeding plan, or a precision feeding plan with daily adjustments; and (iii) simulate the growth and excretion of nitrogen and phosphorus across the pig population under two scenarios: a two-phase feeding plan formulated to meet the nutrient requirements of the average pig or a precision feeding plan with daily adjustments for each and every animal in the population. The distributions of mature bodyweight and ratio of lipid to protein weights at maturity had median (IQR) values of 203 (47.8) kg and 2.23 (0.814) kg/kg, respectively; these estimates were obtained without any prior assumptions concerning correlations between the traits. Overall, it was found that a proposed precision feeding strategy could result in considerable reductions in excretion of nitrogen and phosphorus (average pig: 8.07 and 9.17% reduction, respectively; heterogenous pig population: 22.5 and 22.9% reduction, respectively) during the growing-finishing period from 35 to 120 kg bodyweight. This precision feeding modelling framework is anticipated to be a starting point toward more accurate estimation of individual level nutrient requirements, with the general aim of improving the economic and environmental sustainability of future pig production systems. Frontiers Media S.A. 2021-07-29 /pmc/articles/PMC8360350/ /pubmed/34395575 http://dx.doi.org/10.3389/fvets.2021.689206 Text en Copyright © 2021 Misiura, Filipe and Kyriazakis. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Misiura, Maciej M. Filipe, Joao A. N. Kyriazakis, Ilias A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods |
title | A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods |
title_full | A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods |
title_fullStr | A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods |
title_full_unstemmed | A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods |
title_short | A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods |
title_sort | novel estimation of unobserved pig growth traits for the purposes of precision feeding methods |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360350/ https://www.ncbi.nlm.nih.gov/pubmed/34395575 http://dx.doi.org/10.3389/fvets.2021.689206 |
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