Estimates of methionine and sulfur amino acid requirements for laying hens using different models

Detalhes bibliográficos
Autor(a) principal: Saki,AA
Data de Publicação: 2012
Outros Autores: Naseri Harsini,R, Tabatabaei,MM, Zamani,P, Haghight,M
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Poultry Science (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2012000300008
Resumo: This experiment was conducted to evaluate the effects of dietary methionine (Met) content on the performance of white commercial laying hens and to determine Met and total sulfur amino acids requirements (TSAA). These requirements were estimated using three statistical models (broken-line regression, exponential and second order equations) to evaluate their abilit to determine amino acid requirements. A total of 216 laying hens (23 wks of age) was used in a completely randomized design (CRD) with six treatments with four replicates of nine birds each. The basal diet contained 15.25% crude protein, 2830.16 kcal/kg ME and 0.24% Met. Synthetic DL-Met was added to the deficient (basal) diet in 0.05% increments to make the other five experimental diets (0.29, 0.34, 0.39, 0.44 and 0.49% Met). Increasing Met level from 0.24 to 0.34% significantly increased egg production, egg weight, egg mass, egg content, and feed intake and decreased feed conversion ratio (p<0.05). However, further Met increases, from 0.34 to 0.49%, no longer influenced these parameters. Out of the three models, the broken-line regression model presented better estimates of AA requirements. Based on broken-line equations, average Met and TSAA requirements of the laying hens were 0.31 and 0.60% (245.50 and 469.25 mg/hen/day) from 22 to 36 wks of age, respectively.
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spelling Estimates of methionine and sulfur amino acid requirements for laying hens using different modelsBroken-line regressionExponential equationMethionineSecond order equationTotal sulfur amino acidsThis experiment was conducted to evaluate the effects of dietary methionine (Met) content on the performance of white commercial laying hens and to determine Met and total sulfur amino acids requirements (TSAA). These requirements were estimated using three statistical models (broken-line regression, exponential and second order equations) to evaluate their abilit to determine amino acid requirements. A total of 216 laying hens (23 wks of age) was used in a completely randomized design (CRD) with six treatments with four replicates of nine birds each. The basal diet contained 15.25% crude protein, 2830.16 kcal/kg ME and 0.24% Met. Synthetic DL-Met was added to the deficient (basal) diet in 0.05% increments to make the other five experimental diets (0.29, 0.34, 0.39, 0.44 and 0.49% Met). Increasing Met level from 0.24 to 0.34% significantly increased egg production, egg weight, egg mass, egg content, and feed intake and decreased feed conversion ratio (p<0.05). However, further Met increases, from 0.34 to 0.49%, no longer influenced these parameters. Out of the three models, the broken-line regression model presented better estimates of AA requirements. Based on broken-line equations, average Met and TSAA requirements of the laying hens were 0.31 and 0.60% (245.50 and 469.25 mg/hen/day) from 22 to 36 wks of age, respectively.Fundacao de Apoio a Ciência e Tecnologia Avicolas2012-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2012000300008Brazilian Journal of Poultry Science v.14 n.3 2012reponame:Brazilian Journal of Poultry Science (Online)instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)instacron:FACTA10.1590/S1516-635X2012000300008info:eu-repo/semantics/openAccessSaki,AANaseri Harsini,RTabatabaei,MMZamani,PHaghight,Meng2012-12-03T00:00:00Zoai:scielo:S1516-635X2012000300008Revistahttp://www.scielo.br/rbcahttps://old.scielo.br/oai/scielo-oai.php||rvfacta@terra.com.br1806-90611516-635Xopendoar:2012-12-03T00:00Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)false
dc.title.none.fl_str_mv Estimates of methionine and sulfur amino acid requirements for laying hens using different models
title Estimates of methionine and sulfur amino acid requirements for laying hens using different models
spellingShingle Estimates of methionine and sulfur amino acid requirements for laying hens using different models
Saki,AA
Broken-line regression
Exponential equation
Methionine
Second order equation
Total sulfur amino acids
title_short Estimates of methionine and sulfur amino acid requirements for laying hens using different models
title_full Estimates of methionine and sulfur amino acid requirements for laying hens using different models
title_fullStr Estimates of methionine and sulfur amino acid requirements for laying hens using different models
title_full_unstemmed Estimates of methionine and sulfur amino acid requirements for laying hens using different models
title_sort Estimates of methionine and sulfur amino acid requirements for laying hens using different models
author Saki,AA
author_facet Saki,AA
Naseri Harsini,R
Tabatabaei,MM
Zamani,P
Haghight,M
author_role author
author2 Naseri Harsini,R
Tabatabaei,MM
Zamani,P
Haghight,M
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Saki,AA
Naseri Harsini,R
Tabatabaei,MM
Zamani,P
Haghight,M
dc.subject.por.fl_str_mv Broken-line regression
Exponential equation
Methionine
Second order equation
Total sulfur amino acids
topic Broken-line regression
Exponential equation
Methionine
Second order equation
Total sulfur amino acids
description This experiment was conducted to evaluate the effects of dietary methionine (Met) content on the performance of white commercial laying hens and to determine Met and total sulfur amino acids requirements (TSAA). These requirements were estimated using three statistical models (broken-line regression, exponential and second order equations) to evaluate their abilit to determine amino acid requirements. A total of 216 laying hens (23 wks of age) was used in a completely randomized design (CRD) with six treatments with four replicates of nine birds each. The basal diet contained 15.25% crude protein, 2830.16 kcal/kg ME and 0.24% Met. Synthetic DL-Met was added to the deficient (basal) diet in 0.05% increments to make the other five experimental diets (0.29, 0.34, 0.39, 0.44 and 0.49% Met). Increasing Met level from 0.24 to 0.34% significantly increased egg production, egg weight, egg mass, egg content, and feed intake and decreased feed conversion ratio (p<0.05). However, further Met increases, from 0.34 to 0.49%, no longer influenced these parameters. Out of the three models, the broken-line regression model presented better estimates of AA requirements. Based on broken-line equations, average Met and TSAA requirements of the laying hens were 0.31 and 0.60% (245.50 and 469.25 mg/hen/day) from 22 to 36 wks of age, respectively.
publishDate 2012
dc.date.none.fl_str_mv 2012-09-01
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=S1516-635X2012000300008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2012000300008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1516-635X2012000300008
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 Fundacao de Apoio a Ciência e Tecnologia Avicolas
publisher.none.fl_str_mv Fundacao de Apoio a Ciência e Tecnologia Avicolas
dc.source.none.fl_str_mv Brazilian Journal of Poultry Science v.14 n.3 2012
reponame:Brazilian Journal of Poultry Science (Online)
instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
instacron:FACTA
instname_str Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
instacron_str FACTA
institution FACTA
reponame_str Brazilian Journal of Poultry Science (Online)
collection Brazilian Journal of Poultry Science (Online)
repository.name.fl_str_mv Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
repository.mail.fl_str_mv ||rvfacta@terra.com.br
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