Prediction equations for energy values of animal meals obtained using meta-analysis

Detalhes bibliográficos
Autor(a) principal: Oliveira, Camilla Roana Costa de
Data de Publicação: 2018
Outros Autores: Rabello, Carlos Bôa-Viagem, Souza, Janete Gouveia de, Nascimento, Guilherme Rodrigues do, Lopes, Elainy Cristina, Silva, Almir Ferreira da, Silva, Jaqueline de Cássia Ramos da, Macambira, Gabriel Miranda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: https://locus.ufv.br//handle/123456789/31173
https://doi.org/10.1590/rbz4720180098
Resumo: The objective of this study was to determine prediction equations to estimate the nitrogen-corrected apparent metabolizable energy (AMEn) values of animal meals used in broiler diets through meta-analysis. A bibliographic review was undertaken with studies conducted in Brazil from 2000 to 2016 to catalogue information on AMEn values and the following chemical elements in the composition of the feedstuffs: crude protein (CP), ether extract (EE), gross energy (GE), mineral matter (MM), calcium (Ca), and phosphorus (P). Groups were also catalogued and formed according to sex and age of birds. Chemical correlations were analyzed, and a multiple linear regression model with the stepwise procedure was used to examine the association between the variables, which were included in the equation as a function of their importance. High and significant correlation coefficients between the independent (GE, MM, CP, EE, Ca, and P) and dependent variable (AMEn) contribute to the understanding of variations in the energy values of these feedstuffs. According to the coefficients of determination, the best equations to estimate AMEn of poultry offal meal and meat and bone meal are AMEn = 6139 − 45.5 CP + 0.356 GE −123.5 MM (R2 = 0.8302) and AMEn = 2267 + 19.9 CP + 67.9 EE − 44.4 MM (R2 = 0.9021), respectively
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spelling Oliveira, Camilla Roana Costa deRabello, Carlos Bôa-ViagemSouza, Janete Gouveia deNascimento, Guilherme Rodrigues doLopes, Elainy CristinaSilva, Almir Ferreira daSilva, Jaqueline de Cássia Ramos daMacambira, Gabriel Miranda2023-07-05T15:56:37Z2023-07-05T15:56:37Z2018-10-301806-9290https://locus.ufv.br//handle/123456789/31173https://doi.org/10.1590/rbz4720180098The objective of this study was to determine prediction equations to estimate the nitrogen-corrected apparent metabolizable energy (AMEn) values of animal meals used in broiler diets through meta-analysis. A bibliographic review was undertaken with studies conducted in Brazil from 2000 to 2016 to catalogue information on AMEn values and the following chemical elements in the composition of the feedstuffs: crude protein (CP), ether extract (EE), gross energy (GE), mineral matter (MM), calcium (Ca), and phosphorus (P). Groups were also catalogued and formed according to sex and age of birds. Chemical correlations were analyzed, and a multiple linear regression model with the stepwise procedure was used to examine the association between the variables, which were included in the equation as a function of their importance. High and significant correlation coefficients between the independent (GE, MM, CP, EE, Ca, and P) and dependent variable (AMEn) contribute to the understanding of variations in the energy values of these feedstuffs. According to the coefficients of determination, the best equations to estimate AMEn of poultry offal meal and meat and bone meal are AMEn = 6139 − 45.5 CP + 0.356 GE −123.5 MM (R2 = 0.8302) and AMEn = 2267 + 19.9 CP + 67.9 EE − 44.4 MM (R2 = 0.9021), respectivelyengBrazilian Journal of Animal ScienceR. Bras. Zootec., 47:e20180098, 2018Creative Commons Attribution Licenseinfo:eu-repo/semantics/openAccessAMEnbroilermeat and bone mealmetabolismpredictionPrediction equations for energy values of animal meals obtained using meta-analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlereponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINAL1806-9290-rbz-47-e20180098.pdf1806-9290-rbz-47-e20180098.pdfartigoapplication/pdf381244https://locus.ufv.br//bitstream/123456789/31173/1/1806-9290-rbz-47-e20180098.pdfcc219aa545ac91bbde66285557a9e5c2MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/31173/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/311732023-07-05 12:56:38.227oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452023-07-05T15:56:38LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.en.fl_str_mv Prediction equations for energy values of animal meals obtained using meta-analysis
title Prediction equations for energy values of animal meals obtained using meta-analysis
spellingShingle Prediction equations for energy values of animal meals obtained using meta-analysis
Oliveira, Camilla Roana Costa de
AMEn
broiler
meat and bone meal
metabolism
prediction
title_short Prediction equations for energy values of animal meals obtained using meta-analysis
title_full Prediction equations for energy values of animal meals obtained using meta-analysis
title_fullStr Prediction equations for energy values of animal meals obtained using meta-analysis
title_full_unstemmed Prediction equations for energy values of animal meals obtained using meta-analysis
title_sort Prediction equations for energy values of animal meals obtained using meta-analysis
author Oliveira, Camilla Roana Costa de
author_facet Oliveira, Camilla Roana Costa de
Rabello, Carlos Bôa-Viagem
Souza, Janete Gouveia de
Nascimento, Guilherme Rodrigues do
Lopes, Elainy Cristina
Silva, Almir Ferreira da
Silva, Jaqueline de Cássia Ramos da
Macambira, Gabriel Miranda
author_role author
author2 Rabello, Carlos Bôa-Viagem
Souza, Janete Gouveia de
Nascimento, Guilherme Rodrigues do
Lopes, Elainy Cristina
Silva, Almir Ferreira da
Silva, Jaqueline de Cássia Ramos da
Macambira, Gabriel Miranda
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Camilla Roana Costa de
Rabello, Carlos Bôa-Viagem
Souza, Janete Gouveia de
Nascimento, Guilherme Rodrigues do
Lopes, Elainy Cristina
Silva, Almir Ferreira da
Silva, Jaqueline de Cássia Ramos da
Macambira, Gabriel Miranda
dc.subject.eng.fl_str_mv AMEn
broiler
meat and bone meal
metabolism
prediction
topic AMEn
broiler
meat and bone meal
metabolism
prediction
description The objective of this study was to determine prediction equations to estimate the nitrogen-corrected apparent metabolizable energy (AMEn) values of animal meals used in broiler diets through meta-analysis. A bibliographic review was undertaken with studies conducted in Brazil from 2000 to 2016 to catalogue information on AMEn values and the following chemical elements in the composition of the feedstuffs: crude protein (CP), ether extract (EE), gross energy (GE), mineral matter (MM), calcium (Ca), and phosphorus (P). Groups were also catalogued and formed according to sex and age of birds. Chemical correlations were analyzed, and a multiple linear regression model with the stepwise procedure was used to examine the association between the variables, which were included in the equation as a function of their importance. High and significant correlation coefficients between the independent (GE, MM, CP, EE, Ca, and P) and dependent variable (AMEn) contribute to the understanding of variations in the energy values of these feedstuffs. According to the coefficients of determination, the best equations to estimate AMEn of poultry offal meal and meat and bone meal are AMEn = 6139 − 45.5 CP + 0.356 GE −123.5 MM (R2 = 0.8302) and AMEn = 2267 + 19.9 CP + 67.9 EE − 44.4 MM (R2 = 0.9021), respectively
publishDate 2018
dc.date.issued.fl_str_mv 2018-10-30
dc.date.accessioned.fl_str_mv 2023-07-05T15:56:37Z
dc.date.available.fl_str_mv 2023-07-05T15:56:37Z
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 https://locus.ufv.br//handle/123456789/31173
dc.identifier.issn.none.fl_str_mv 1806-9290
dc.identifier.doi.pt-BR.fl_str_mv https://doi.org/10.1590/rbz4720180098
identifier_str_mv 1806-9290
url https://locus.ufv.br//handle/123456789/31173
https://doi.org/10.1590/rbz4720180098
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartofseries.pt-BR.fl_str_mv R. Bras. Zootec., 47:e20180098, 2018
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.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
bitstream.url.fl_str_mv https://locus.ufv.br//bitstream/123456789/31173/1/1806-9290-rbz-47-e20180098.pdf
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