Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows
Autor(a) principal: | |
---|---|
Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000300013 |
Resumo: | Milk yield records (305d, 2X, actual milk yield) of 123,639 registered first lactation Holstein cows were used to compare linear regression (y = β0 + β1X + e) ,quadratic regression, (y = β0 + β1X + β2X2 + e) cubic regression (y = β0 + β1X + β2X2 + β3X3 + e) and fixed factor models, with cubic-spline interpolation models, for estimating the effects of inbreeding on milk yield. Ten animal models, all with herd-year-season of calving as fixed effect, were compared using the Akaike corrected-Information Criterion (AICc). The cubic-spline interpolation model with seven knots had the lowest AICc, whereas for all those labeled as "traditional", AICc was higher than the best model. Results from fitting inbreeding using a cubic-spline with seven knots were compared to results from fitting inbreeding as a linear covariate or as a fixed factor with seven levels. Estimates of inbreeding effects were not significantly different between the cubic-spline model and the fixed factor model, but were significantly different from the linear regression model. Milk yield decreased significantly at inbreeding levels greater than 9%. Variance component estimates were similar for the three models. Ranking of the top 100 sires with daughter records remained unaffected by the model used. |
id |
SBG-1_c64b7af1ae51c2732494b448528813a0 |
---|---|
oai_identifier_str |
oai:scielo:S1415-47572011000300013 |
network_acronym_str |
SBG-1 |
network_name_str |
Genetics and Molecular Biology |
repository_id_str |
|
spelling |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cowsAkaike's information criterioncubic-spline interpolationinbreedingmilk yieldMilk yield records (305d, 2X, actual milk yield) of 123,639 registered first lactation Holstein cows were used to compare linear regression (y = β0 + β1X + e) ,quadratic regression, (y = β0 + β1X + β2X2 + e) cubic regression (y = β0 + β1X + β2X2 + β3X3 + e) and fixed factor models, with cubic-spline interpolation models, for estimating the effects of inbreeding on milk yield. Ten animal models, all with herd-year-season of calving as fixed effect, were compared using the Akaike corrected-Information Criterion (AICc). The cubic-spline interpolation model with seven knots had the lowest AICc, whereas for all those labeled as "traditional", AICc was higher than the best model. Results from fitting inbreeding using a cubic-spline with seven knots were compared to results from fitting inbreeding as a linear covariate or as a fixed factor with seven levels. Estimates of inbreeding effects were not significantly different between the cubic-spline model and the fixed factor model, but were significantly different from the linear regression model. Milk yield decreased significantly at inbreeding levels greater than 9%. Variance component estimates were similar for the three models. Ranking of the top 100 sires with daughter records remained unaffected by the model used.Sociedade Brasileira de Genética2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000300013Genetics and Molecular Biology v.34 n.3 2011reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572011000300013info:eu-repo/semantics/openAccessGeha,Makram J.Keown,Jeffrey F.Van Vleck,L. Daleeng2011-08-05T00:00:00Zoai:scielo:S1415-47572011000300013Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2011-08-05T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows |
title |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows |
spellingShingle |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows Geha,Makram J. Akaike's information criterion cubic-spline interpolation inbreeding milk yield |
title_short |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows |
title_full |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows |
title_fullStr |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows |
title_full_unstemmed |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows |
title_sort |
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows |
author |
Geha,Makram J. |
author_facet |
Geha,Makram J. Keown,Jeffrey F. Van Vleck,L. Dale |
author_role |
author |
author2 |
Keown,Jeffrey F. Van Vleck,L. Dale |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Geha,Makram J. Keown,Jeffrey F. Van Vleck,L. Dale |
dc.subject.por.fl_str_mv |
Akaike's information criterion cubic-spline interpolation inbreeding milk yield |
topic |
Akaike's information criterion cubic-spline interpolation inbreeding milk yield |
description |
Milk yield records (305d, 2X, actual milk yield) of 123,639 registered first lactation Holstein cows were used to compare linear regression (y = β0 + β1X + e) ,quadratic regression, (y = β0 + β1X + β2X2 + e) cubic regression (y = β0 + β1X + β2X2 + β3X3 + e) and fixed factor models, with cubic-spline interpolation models, for estimating the effects of inbreeding on milk yield. Ten animal models, all with herd-year-season of calving as fixed effect, were compared using the Akaike corrected-Information Criterion (AICc). The cubic-spline interpolation model with seven knots had the lowest AICc, whereas for all those labeled as "traditional", AICc was higher than the best model. Results from fitting inbreeding using a cubic-spline with seven knots were compared to results from fitting inbreeding as a linear covariate or as a fixed factor with seven levels. Estimates of inbreeding effects were not significantly different between the cubic-spline model and the fixed factor model, but were significantly different from the linear regression model. Milk yield decreased significantly at inbreeding levels greater than 9%. Variance component estimates were similar for the three models. Ranking of the top 100 sires with daughter records remained unaffected by the model used. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 |
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=S1415-47572011000300013 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000300013 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572011000300013 |
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 Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.34 n.3 2011 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122383770058752 |