Application of a precision nutrition tool for growing and finishing pigs

Detalhes bibliográficos
Autor(a) principal: Lovato, Gustavo Dias
Data de Publicação: 2017
Outros Autores: Vale, Marcos Martinez do, Oliveira, Vladimir de, Klein, Daniela Regina, Branco, Tatiane
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.1590/S1806-92902017000900007
https://locus.ufv.br//handle/123456789/31712
Resumo: The objective of this study was to evaluate a growth model applied to adjust nutritional programs for growing and finishing pigs, in a commercial production context. The phase I (calibration) was conducted in a commercial pig production unit. The data were collected from a nutritional program, a feed program, and an animal profile. In experimental phase II, these data were entered in the InraPorc® model for simulations and to propose adjustments to the commercial nutritional program. Afterwards, the conventional nutritional program (CNP) and the adjusted nutritional program (ANP) were compared with InraPorc® simulation. Animal profile was collected by weighing 30% of pigs per stall and monitoring their feed intake in each stage. Four hundred and thirty-two pigs with an average initial body weight of 21.9 kg were used in a completely randomized design. There were no differences between treatments, the pig performance was affected by temperature conditions, and the fat thickness was 8% higher for CNP than ANP. In conclusion, the model has advantages to adjust growing and finishing pig nutrition programs and improve environmental and economic aspects.
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spelling Application of a precision nutrition tool for growing and finishing pigsInraPorc®ModelingPig productionTemperatureThe objective of this study was to evaluate a growth model applied to adjust nutritional programs for growing and finishing pigs, in a commercial production context. The phase I (calibration) was conducted in a commercial pig production unit. The data were collected from a nutritional program, a feed program, and an animal profile. In experimental phase II, these data were entered in the InraPorc® model for simulations and to propose adjustments to the commercial nutritional program. Afterwards, the conventional nutritional program (CNP) and the adjusted nutritional program (ANP) were compared with InraPorc® simulation. Animal profile was collected by weighing 30% of pigs per stall and monitoring their feed intake in each stage. Four hundred and thirty-two pigs with an average initial body weight of 21.9 kg were used in a completely randomized design. There were no differences between treatments, the pig performance was affected by temperature conditions, and the fat thickness was 8% higher for CNP than ANP. In conclusion, the model has advantages to adjust growing and finishing pig nutrition programs and improve environmental and economic aspects.Brazilian Journal of Animal Science2023-10-30T19:31:33Z2023-10-30T19:31:33Z2017-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdfLOVATO, G. D.; VALE, M. M.; OLIVEIRA, V.; KLEIN, D. R.; BRANCO, T. Application of a precision nutrition tool for growing and finishing pigs. Revista Brasileira de Zootecnia, v. 46, n, 9, p. 755-759, 2017. DOI: http://dx.doi.org/10.1590/S1806-929020170009000071806-9290http://dx.doi.org/10.1590/S1806-92902017000900007https://locus.ufv.br//handle/123456789/31712http://dx.doi.org/10.1590/S1806-92902017000900007engv. 46, n. 9, p. 755-759, 2017Creative Commons Attribution Licenseinfo:eu-repo/semantics/openAccessLovato, Gustavo DiasVale, Marcos Martinez doOliveira, Vladimir deKlein, Daniela ReginaBranco, Tatianereponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T06:24:44Zoai:locus.ufv.br:123456789/31712Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T06:24:44LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Application of a precision nutrition tool for growing and finishing pigs
title Application of a precision nutrition tool for growing and finishing pigs
spellingShingle Application of a precision nutrition tool for growing and finishing pigs
Lovato, Gustavo Dias
InraPorc®
Modeling
Pig production
Temperature
title_short Application of a precision nutrition tool for growing and finishing pigs
title_full Application of a precision nutrition tool for growing and finishing pigs
title_fullStr Application of a precision nutrition tool for growing and finishing pigs
title_full_unstemmed Application of a precision nutrition tool for growing and finishing pigs
title_sort Application of a precision nutrition tool for growing and finishing pigs
author Lovato, Gustavo Dias
author_facet Lovato, Gustavo Dias
Vale, Marcos Martinez do
Oliveira, Vladimir de
Klein, Daniela Regina
Branco, Tatiane
author_role author
author2 Vale, Marcos Martinez do
Oliveira, Vladimir de
Klein, Daniela Regina
Branco, Tatiane
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lovato, Gustavo Dias
Vale, Marcos Martinez do
Oliveira, Vladimir de
Klein, Daniela Regina
Branco, Tatiane
dc.subject.por.fl_str_mv InraPorc®
Modeling
Pig production
Temperature
topic InraPorc®
Modeling
Pig production
Temperature
description The objective of this study was to evaluate a growth model applied to adjust nutritional programs for growing and finishing pigs, in a commercial production context. The phase I (calibration) was conducted in a commercial pig production unit. The data were collected from a nutritional program, a feed program, and an animal profile. In experimental phase II, these data were entered in the InraPorc® model for simulations and to propose adjustments to the commercial nutritional program. Afterwards, the conventional nutritional program (CNP) and the adjusted nutritional program (ANP) were compared with InraPorc® simulation. Animal profile was collected by weighing 30% of pigs per stall and monitoring their feed intake in each stage. Four hundred and thirty-two pigs with an average initial body weight of 21.9 kg were used in a completely randomized design. There were no differences between treatments, the pig performance was affected by temperature conditions, and the fat thickness was 8% higher for CNP than ANP. In conclusion, the model has advantages to adjust growing and finishing pig nutrition programs and improve environmental and economic aspects.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-01
2023-10-30T19:31:33Z
2023-10-30T19:31:33Z
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 LOVATO, G. D.; VALE, M. M.; OLIVEIRA, V.; KLEIN, D. R.; BRANCO, T. Application of a precision nutrition tool for growing and finishing pigs. Revista Brasileira de Zootecnia, v. 46, n, 9, p. 755-759, 2017. DOI: http://dx.doi.org/10.1590/S1806-92902017000900007
1806-9290
http://dx.doi.org/10.1590/S1806-92902017000900007
https://locus.ufv.br//handle/123456789/31712
http://dx.doi.org/10.1590/S1806-92902017000900007
identifier_str_mv LOVATO, G. D.; VALE, M. M.; OLIVEIRA, V.; KLEIN, D. R.; BRANCO, T. Application of a precision nutrition tool for growing and finishing pigs. Revista Brasileira de Zootecnia, v. 46, n, 9, p. 755-759, 2017. DOI: http://dx.doi.org/10.1590/S1806-92902017000900007
1806-9290
url http://dx.doi.org/10.1590/S1806-92902017000900007
https://locus.ufv.br//handle/123456789/31712
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv v. 46, n. 9, p. 755-759, 2017
dc.rights.driver.fl_str_mv Creative Commons Attribution License
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Creative Commons Attribution License
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Brazilian Journal of Animal Science
publisher.none.fl_str_mv Brazilian Journal of Animal Science
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
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