Application of a precision nutrition tool for growing and finishing pigs
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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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 |
_version_ |
1817559834944339968 |