Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures

Detalhes bibliográficos
Autor(a) principal: Perondi, Dani [UNESP]
Data de Publicação: 2018
Outros Autores: Kipper, Marcos, Andretta, Ines, Hauschild, Luciano [UNESP], Lunedo, Raquel [UNESP], Franceschina, Carolina Schell, Remus, Aline [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1678-992X-2016-0363
http://hdl.handle.net/11449/164035
Resumo: Several empirical models were proposed to predict feed intake (FI) of growing-finishing pigs reared under high environmental temperatures. However, these models have not been evaluated under conditions different from those in which they were developed. Twelve empirical models were evaluated using a database built after systematic literature review (observed data: 28 studies in which the FI was evaluated in pigs under high environmental temperatures). Model accuracy was assessed using the mean squared of prediction error (MSPE). Analyses were performed considering two scenarios: (1) general population, where all observed data were used in the simulation; (2) reference population, where data were filtered in order to simulate only scenarios with environment (temperature range) and animals (body weight and sex) similar to that used in the model development. Six models estimated FI values similar (p > 0.05) to those observed in the general population, while four models produced estimates similar to the observed values in the reference populations. Most models were more accurate when they were simulated using the reference population than when the simulation considered the general database. Moving the simulation from the general database to the reference population reduced up to 98 % of the MSPE, depending on the equation. Empirical models allow to accurately predict FI of growing-finishing pigs exposed to high environmental temperatures, especially in scenarios similar to the ones used for model development. Thus, population characteristics (body weight and sex) and environment (temperature range) must be considered in the model assessment.
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spelling Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperaturesconsumptionheat stressmodellingprecision feedingswineSeveral empirical models were proposed to predict feed intake (FI) of growing-finishing pigs reared under high environmental temperatures. However, these models have not been evaluated under conditions different from those in which they were developed. Twelve empirical models were evaluated using a database built after systematic literature review (observed data: 28 studies in which the FI was evaluated in pigs under high environmental temperatures). Model accuracy was assessed using the mean squared of prediction error (MSPE). Analyses were performed considering two scenarios: (1) general population, where all observed data were used in the simulation; (2) reference population, where data were filtered in order to simulate only scenarios with environment (temperature range) and animals (body weight and sex) similar to that used in the model development. Six models estimated FI values similar (p > 0.05) to those observed in the general population, while four models produced estimates similar to the observed values in the reference populations. Most models were more accurate when they were simulated using the reference population than when the simulation considered the general database. Moving the simulation from the general database to the reference population reduced up to 98 % of the MSPE, depending on the equation. Empirical models allow to accurately predict FI of growing-finishing pigs exposed to high environmental temperatures, especially in scenarios similar to the ones used for model development. Thus, population characteristics (body weight and sex) and environment (temperature range) must be considered in the model assessment.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista, Fac Ciencias Agr & Vet, Dept Zootecnia, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, BrazilUniv Fed Rio Grande do Sul, Fac Agron, Dept Zootecnia, Av Bento Goncalves 7712, BR-91540000 Porto Alegre, RS, BrazilAgr & Agri Food Canada, Sherbrooke Res & Dev Ctr, 2000 Coll St, Sherbrooke, PQ J1M 1Z3, CanadaUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Zootecnia, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, BrazilFAPESP: 2012/03781-0Univ Sao PaoloUniversidade Estadual Paulista (Unesp)Univ Fed Rio Grande do SulAgr & Agri Food CanadaPerondi, Dani [UNESP]Kipper, MarcosAndretta, InesHauschild, Luciano [UNESP]Lunedo, Raquel [UNESP]Franceschina, Carolina SchellRemus, Aline [UNESP]2018-11-26T17:48:51Z2018-11-26T17:48:51Z2018-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article296-303application/pdfhttp://dx.doi.org/10.1590/1678-992X-2016-0363Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 75, n. 4, p. 296-303, 2018.1678-992Xhttp://hdl.handle.net/11449/16403510.1590/1678-992X-2016-0363S0103-90162018000400296WOS:000428564200004S0103-90162018000400296.pdf1612969183171944Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientia Agricolainfo:eu-repo/semantics/openAccess2024-06-07T18:41:18Zoai:repositorio.unesp.br:11449/164035Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:32:35.710079Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
title Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
spellingShingle Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
Perondi, Dani [UNESP]
consumption
heat stress
modelling
precision feeding
swine
title_short Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
title_full Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
title_fullStr Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
title_full_unstemmed Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
title_sort Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
author Perondi, Dani [UNESP]
author_facet Perondi, Dani [UNESP]
Kipper, Marcos
Andretta, Ines
Hauschild, Luciano [UNESP]
Lunedo, Raquel [UNESP]
Franceschina, Carolina Schell
Remus, Aline [UNESP]
author_role author
author2 Kipper, Marcos
Andretta, Ines
Hauschild, Luciano [UNESP]
Lunedo, Raquel [UNESP]
Franceschina, Carolina Schell
Remus, Aline [UNESP]
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Fed Rio Grande do Sul
Agr & Agri Food Canada
dc.contributor.author.fl_str_mv Perondi, Dani [UNESP]
Kipper, Marcos
Andretta, Ines
Hauschild, Luciano [UNESP]
Lunedo, Raquel [UNESP]
Franceschina, Carolina Schell
Remus, Aline [UNESP]
dc.subject.por.fl_str_mv consumption
heat stress
modelling
precision feeding
swine
topic consumption
heat stress
modelling
precision feeding
swine
description Several empirical models were proposed to predict feed intake (FI) of growing-finishing pigs reared under high environmental temperatures. However, these models have not been evaluated under conditions different from those in which they were developed. Twelve empirical models were evaluated using a database built after systematic literature review (observed data: 28 studies in which the FI was evaluated in pigs under high environmental temperatures). Model accuracy was assessed using the mean squared of prediction error (MSPE). Analyses were performed considering two scenarios: (1) general population, where all observed data were used in the simulation; (2) reference population, where data were filtered in order to simulate only scenarios with environment (temperature range) and animals (body weight and sex) similar to that used in the model development. Six models estimated FI values similar (p > 0.05) to those observed in the general population, while four models produced estimates similar to the observed values in the reference populations. Most models were more accurate when they were simulated using the reference population than when the simulation considered the general database. Moving the simulation from the general database to the reference population reduced up to 98 % of the MSPE, depending on the equation. Empirical models allow to accurately predict FI of growing-finishing pigs exposed to high environmental temperatures, especially in scenarios similar to the ones used for model development. Thus, population characteristics (body weight and sex) and environment (temperature range) must be considered in the model assessment.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-26T17:48:51Z
2018-11-26T17:48:51Z
2018-07-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/1678-992X-2016-0363
Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 75, n. 4, p. 296-303, 2018.
1678-992X
http://hdl.handle.net/11449/164035
10.1590/1678-992X-2016-0363
S0103-90162018000400296
WOS:000428564200004
S0103-90162018000400296.pdf
1612969183171944
url http://dx.doi.org/10.1590/1678-992X-2016-0363
http://hdl.handle.net/11449/164035
identifier_str_mv Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 75, n. 4, p. 296-303, 2018.
1678-992X
10.1590/1678-992X-2016-0363
S0103-90162018000400296
WOS:000428564200004
S0103-90162018000400296.pdf
1612969183171944
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Scientia Agricola
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 296-303
application/pdf
dc.publisher.none.fl_str_mv Univ Sao Paolo
publisher.none.fl_str_mv Univ Sao Paolo
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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