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: Revista Brasileira de Zootecnia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100537
Resumo: ABSTRACT 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 ( R 2 = 0.8302 ) and AMEn = 2267 + 19.9 CP + 67.9 EE − 44.4 MM ( R 2 = 0.9021 ) , respectively.
id SBZ-1_87a04aeff2c7083f66d2fde204ae5475
oai_identifier_str oai:scielo:S1516-35982018000100537
network_acronym_str SBZ-1
network_name_str Revista Brasileira de Zootecnia (Online)
repository_id_str
spelling Prediction equations for energy values of animal meals obtained using meta-analysisAMEnbroilermeat and bone mealmetabolismpredictionABSTRACT 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 ( R 2 = 0.8302 ) and AMEn = 2267 + 19.9 CP + 67.9 EE − 44.4 MM ( R 2 = 0.9021 ) , respectively.Sociedade Brasileira de Zootecnia2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100537Revista Brasileira de Zootecnia v.47 2018reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.1590/rbz4720180098info:eu-repo/semantics/openAccessOliveira,Camilla Roana Costa deRabello,Carlos Bôa-ViagemSouza,Janete Gouveia deNascimento,Guilherme Rodrigues doLopes,Elainy CristinaSilva,Almir Ferreira daSilva,Jaqueline de Cássia Ramos daMacambira,Gabriel Mirandaeng2018-11-05T00:00:00Zoai:scielo:S1516-35982018000100537Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2018-11-05T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false
dc.title.none.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.por.fl_str_mv AMEn
broiler
meat and bone meal
metabolism
prediction
topic AMEn
broiler
meat and bone meal
metabolism
prediction
description ABSTRACT 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 ( R 2 = 0.8302 ) and AMEn = 2267 + 19.9 CP + 67.9 EE − 44.4 MM ( R 2 = 0.9021 ) , respectively.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100537
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100537
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/rbz4720180098
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
dc.source.none.fl_str_mv Revista Brasileira de Zootecnia v.47 2018
reponame:Revista Brasileira de Zootecnia (Online)
instname:Sociedade Brasileira de Zootecnia (SBZ)
instacron:SBZ
instname_str Sociedade Brasileira de Zootecnia (SBZ)
instacron_str SBZ
institution SBZ
reponame_str Revista Brasileira de Zootecnia (Online)
collection Revista Brasileira de Zootecnia (Online)
repository.name.fl_str_mv Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)
repository.mail.fl_str_mv ||bz@sbz.org.br|| secretariarbz@sbz.org.br
_version_ 1750318152827273216