Estimates of methionine and sulfur amino acid requirements for laying hens using different models
Autor(a) principal: | |
---|---|
Data de Publicação: | 2012 |
Outros Autores: | , , , |
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. |
id |
FACTA-1_7347e55ddf1f59e8183594bd5b6ea135 |
---|---|
oai_identifier_str |
oai:scielo:S1516-635X2012000300008 |
network_acronym_str |
FACTA-1 |
network_name_str |
Brazilian Journal of Poultry Science (Online) |
repository_id_str |
|
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 |
_version_ |
1754122512215572480 |