Validating prediction equations of metabolizable energy of soybean meal for growing pigs

Detalhes bibliográficos
Autor(a) principal: Pasquetti, Tiago Junior
Data de Publicação: 2015
Outros Autores: Pozza, Paulo Cesar, Oliveira, Newton Tavares Escocard de, Nunes, Ricardo Vianna, Lazzeri, Doglas Batista, Castilha, Leandro Dalcin
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
DOI: 10.5433/1679-0359.2015v36n6Supl2p4541
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/20404
Resumo: The aim of this study was to evaluate equations to predict the metabolizable energy (ME) of soybean meal (SBM) for swine. Seven SBM were used, which were analyzed for dry matter, crude protein, ether extract, neutral detergent fiber (NDF), acid detergent fiber (ADF), ash, calcium, phosphorus, solubility in potassium hydroxide (KOH) and urease index. To determine the ME of SBM, 32 barrows, with an average initial weight of 29.01 ± 3.64 kg, were used and distributed in a randomized blocks design, with seven treatments and four replicates. To validate the prediction equations, linear regression models were adjusted, using observed values of ME (metabolism trial) as a function of the estimated ME (obtained by applying the chemical composition of the SBM in selected equations found in the literature). The existence of regression was evaluated by the “t” test, partially applied to each parameter (?0 and ?1). The validation of the prediction models of first degree was obtained by accepting the joint null hypothesis ?0 = 0 and ?1 = 1. The equations ME = 5.42 - 17.2FDN - 19.4MM + 0.709GE and ME= 1099 + 0.740GE - 5.5MM - 3.7NDF are effective for estimating the ME of SBM for growing pigs.
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spelling Validating prediction equations of metabolizable energy of soybean meal for growing pigsValidação de equações de predição da energia metabolizável do farelo de soja para suínos em crescimentoChemical compositionLinear regressionValidation.Composição químicaRegressão linearValidação.The aim of this study was to evaluate equations to predict the metabolizable energy (ME) of soybean meal (SBM) for swine. Seven SBM were used, which were analyzed for dry matter, crude protein, ether extract, neutral detergent fiber (NDF), acid detergent fiber (ADF), ash, calcium, phosphorus, solubility in potassium hydroxide (KOH) and urease index. To determine the ME of SBM, 32 barrows, with an average initial weight of 29.01 ± 3.64 kg, were used and distributed in a randomized blocks design, with seven treatments and four replicates. To validate the prediction equations, linear regression models were adjusted, using observed values of ME (metabolism trial) as a function of the estimated ME (obtained by applying the chemical composition of the SBM in selected equations found in the literature). The existence of regression was evaluated by the “t” test, partially applied to each parameter (?0 and ?1). The validation of the prediction models of first degree was obtained by accepting the joint null hypothesis ?0 = 0 and ?1 = 1. The equations ME = 5.42 - 17.2FDN - 19.4MM + 0.709GE and ME= 1099 + 0.740GE - 5.5MM - 3.7NDF are effective for estimating the ME of SBM for growing pigs.Objetivou-se com este trabalho avaliar equações para predizer a energia metabolizável (EM) do farelo de soja (FS) para suínos. Foram utilizados sete FS, os quais foram submetidos às análises de matéria seca, proteína bruta, extrato etéreo, fibra em detergente neutro, fibra em detergente ácido, matéria mineral, cálcio, fósforo, solubilidade em hidróxido de potássio (KOH) e índice de urease. Para determinar a EM dos FS foram utilizados 32 suínos, machos castrados, com peso médio inicial de 29,01 ± 3,64 kg. O delineamento experimental foi o de blocos ao acaso com sete tratamentos e uma ração referência, sendo utilizadas quatro repetições. Ajustaram-se os modelos de regressão linear utilizando-se valores de EM observados (ensaio de metabolismo) em função da EM estimada (obtidas pela aplicação da composição química dos FS em equações selecionadas na literatura). A existência da regressão foi avaliada pelo teste t parcial aplicado a cada parâmetro (?0 e ?1). A validação da predição dos modelos de 1º grau foi obtida pela aceitação da hipótese de nulidade conjunta ?0= 0 e ?1= 1. As equações EM= 5,42 - 17,2FDN - 19,4MM + 0,709EB e EM= 1099 + 0,740EB - 5,5MM - 3,7FDN são efetivas em estimar a EM do FS para suínos.UEL2015-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2040410.5433/1679-0359.2015v36n6Supl2p4541Semina: Ciências Agrárias; Vol. 36 No. 6Supl2 (2015); 4541-4552Semina: Ciências Agrárias; v. 36 n. 6Supl2 (2015); 4541-45521679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/20404/17671http://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessPasquetti, Tiago JuniorPozza, Paulo CesarOliveira, Newton Tavares Escocard deNunes, Ricardo ViannaLazzeri, Doglas BatistaCastilha, Leandro Dalcin2022-12-02T15:44:24Zoai:ojs.pkp.sfu.ca:article/20404Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-12-02T15:44:24Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Validating prediction equations of metabolizable energy of soybean meal for growing pigs
Validação de equações de predição da energia metabolizável do farelo de soja para suínos em crescimento
title Validating prediction equations of metabolizable energy of soybean meal for growing pigs
spellingShingle Validating prediction equations of metabolizable energy of soybean meal for growing pigs
Validating prediction equations of metabolizable energy of soybean meal for growing pigs
Pasquetti, Tiago Junior
Chemical composition
Linear regression
Validation.
Composição química
Regressão linear
Validação.
Pasquetti, Tiago Junior
Chemical composition
Linear regression
Validation.
Composição química
Regressão linear
Validação.
title_short Validating prediction equations of metabolizable energy of soybean meal for growing pigs
title_full Validating prediction equations of metabolizable energy of soybean meal for growing pigs
title_fullStr Validating prediction equations of metabolizable energy of soybean meal for growing pigs
Validating prediction equations of metabolizable energy of soybean meal for growing pigs
title_full_unstemmed Validating prediction equations of metabolizable energy of soybean meal for growing pigs
Validating prediction equations of metabolizable energy of soybean meal for growing pigs
title_sort Validating prediction equations of metabolizable energy of soybean meal for growing pigs
author Pasquetti, Tiago Junior
author_facet Pasquetti, Tiago Junior
Pasquetti, Tiago Junior
Pozza, Paulo Cesar
Oliveira, Newton Tavares Escocard de
Nunes, Ricardo Vianna
Lazzeri, Doglas Batista
Castilha, Leandro Dalcin
Pozza, Paulo Cesar
Oliveira, Newton Tavares Escocard de
Nunes, Ricardo Vianna
Lazzeri, Doglas Batista
Castilha, Leandro Dalcin
author_role author
author2 Pozza, Paulo Cesar
Oliveira, Newton Tavares Escocard de
Nunes, Ricardo Vianna
Lazzeri, Doglas Batista
Castilha, Leandro Dalcin
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Pasquetti, Tiago Junior
Pozza, Paulo Cesar
Oliveira, Newton Tavares Escocard de
Nunes, Ricardo Vianna
Lazzeri, Doglas Batista
Castilha, Leandro Dalcin
dc.subject.por.fl_str_mv Chemical composition
Linear regression
Validation.
Composição química
Regressão linear
Validação.
topic Chemical composition
Linear regression
Validation.
Composição química
Regressão linear
Validação.
description The aim of this study was to evaluate equations to predict the metabolizable energy (ME) of soybean meal (SBM) for swine. Seven SBM were used, which were analyzed for dry matter, crude protein, ether extract, neutral detergent fiber (NDF), acid detergent fiber (ADF), ash, calcium, phosphorus, solubility in potassium hydroxide (KOH) and urease index. To determine the ME of SBM, 32 barrows, with an average initial weight of 29.01 ± 3.64 kg, were used and distributed in a randomized blocks design, with seven treatments and four replicates. To validate the prediction equations, linear regression models were adjusted, using observed values of ME (metabolism trial) as a function of the estimated ME (obtained by applying the chemical composition of the SBM in selected equations found in the literature). The existence of regression was evaluated by the “t” test, partially applied to each parameter (?0 and ?1). The validation of the prediction models of first degree was obtained by accepting the joint null hypothesis ?0 = 0 and ?1 = 1. The equations ME = 5.42 - 17.2FDN - 19.4MM + 0.709GE and ME= 1099 + 0.740GE - 5.5MM - 3.7NDF are effective for estimating the ME of SBM for growing pigs.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Empírica de Campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/20404
10.5433/1679-0359.2015v36n6Supl2p4541
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/20404
identifier_str_mv 10.5433/1679-0359.2015v36n6Supl2p4541
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/20404/17671
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 36 No. 6Supl2 (2015); 4541-4552
Semina: Ciências Agrárias; v. 36 n. 6Supl2 (2015); 4541-4552
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
_version_ 1822182784322502656
dc.identifier.doi.none.fl_str_mv 10.5433/1679-0359.2015v36n6Supl2p4541

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