Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
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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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 |
|
_version_ |
1808128823073439744 |