Adjustments of lactation curves of cows crossbred of races holstein and gir

Detalhes bibliográficos
Autor(a) principal: Ellen Pereira Borges Santos
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8313
Resumo: The object of this study was to adjust the lactation curve of a cattle herd, using 415 lactations, including 19,025 controls of 206 crossbred cows of Holstein and Gir. Data from weekly milk weights used in this study are from property located in the municipality of Beberibe, in the littoral zone of Cearà State, in the period from 2006 to 2010. The adjustment was made for the average lactation curve, using six linear mathematical functions: Linear (FL), Quadratic (CF), Quadratic Logarithmic (FQL), logarithmic (FLG), hyperbolic (FH) and Cubic (FC), two intrinsically linear: Incomplete Gamma (FGI) and Exponential (FE) and five nonlinear described by Papajcsik & Bodero, 1988 (FPD); Ferrel & Jenkins, 1984 (FJF); Dhanoa et al., 1981 (FD); Borlino-Cappio et al., 1995 (FCB) and Sikka, 1950 (FS). The criteria used to assess the quality of fit for each function were the adjusted coefficient of determination (RÂa), the mean square (QMR), the Durbin-Watson and distribution chart of residue and comparison of curves and estimated observed by visual evaluation. The values of RÂa for linear models ranged from 27 to 99%, with 81% of the RÂa the estimates presented high values for the functions set, indicating that these features could be used in adjusting the lactation curve mean that flock. While models for intrinsically non-linear models FGI the estimated values of RÂa greater than 80% except for the genetic group 1/4H showing values of 39%. The QMR ranged from 0.60 to 1.518 and showed a better fit for all GG. Since the nonlinear function that best fits was Dhanoa et al., 1981 (FD) had values of RÂa to high ranging from 39 to 99% for the genetic groups. However, there was no tendency of correlation between successive residues for these functions, since 83% of DW values were higher than 2.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisAdjustments of lactation curves of cows crossbred of races holstein and girAjustes de curvas de lactaÃÃo de vacas mestiÃas das raÃas holandesa e gir.2012-08-27SÃnia Maria Pinheiro de Oliveira22877797368http://lattes.cnpq.br/0531250908082683ClÃudio Cabral Campello22973486300http://lattes.cnpq.br/7450299703011981Gabrimar AraÃjo Martins17446678372http://lattes.cnpq.br/504828928412032001894818547http://lattes.cnpq.br/2044262340141630Ellen Pereira Borges SantosUniversidade Federal do CearÃPrograma de PÃs-GraduaÃÃo em ZootecniaUFCBRBovino DuraÃÃo da lactaÃÃo EquaÃÃes matemÃticas ProduÃÃo de leiteCattle Duration of lactation Mathematical equations Milk productionZOOTECNIAThe object of this study was to adjust the lactation curve of a cattle herd, using 415 lactations, including 19,025 controls of 206 crossbred cows of Holstein and Gir. Data from weekly milk weights used in this study are from property located in the municipality of Beberibe, in the littoral zone of Cearà State, in the period from 2006 to 2010. The adjustment was made for the average lactation curve, using six linear mathematical functions: Linear (FL), Quadratic (CF), Quadratic Logarithmic (FQL), logarithmic (FLG), hyperbolic (FH) and Cubic (FC), two intrinsically linear: Incomplete Gamma (FGI) and Exponential (FE) and five nonlinear described by Papajcsik & Bodero, 1988 (FPD); Ferrel & Jenkins, 1984 (FJF); Dhanoa et al., 1981 (FD); Borlino-Cappio et al., 1995 (FCB) and Sikka, 1950 (FS). The criteria used to assess the quality of fit for each function were the adjusted coefficient of determination (RÂa), the mean square (QMR), the Durbin-Watson and distribution chart of residue and comparison of curves and estimated observed by visual evaluation. The values of RÂa for linear models ranged from 27 to 99%, with 81% of the RÂa the estimates presented high values for the functions set, indicating that these features could be used in adjusting the lactation curve mean that flock. While models for intrinsically non-linear models FGI the estimated values of RÂa greater than 80% except for the genetic group 1/4H showing values of 39%. The QMR ranged from 0.60 to 1.518 and showed a better fit for all GG. Since the nonlinear function that best fits was Dhanoa et al., 1981 (FD) had values of RÂa to high ranging from 39 to 99% for the genetic groups. However, there was no tendency of correlation between successive residues for these functions, since 83% of DW values were higher than 2.O objetivo do presente estudo foi ajustar a curva de lactaÃÃo de um rebanho bovino, utilizando-se 415 lactaÃÃes, referentes a 19.025 controles de 206 vacas mestiÃas das raÃas Holandesa e Gir. Os dados dos controles leiteiros semanais utilizados neste estudo sÃo provenientes da propriedade localizada no municÃpio de Beberibe, na zona litorÃnea do Estado CearÃ, no perÃodo de 2006 a 2010. O ajuste foi feito para a curva mÃdia de lactaÃÃes, utilizando-se seis funÃÃes matemÃticas lineares: Linear (FL), QuadrÃtica (FQ), QuadrÃtica LogarÃtmica (FQL), LogarÃtmica (FLG), HiperbÃlica (FH) e a CÃbica (FC); duas intrinsecamente lineares: Gama Incompleta (FGI) e a Exponencial (FE); e cinco nÃo lineares descritas por Papajcsik & Bodero, 1988 (FPD); Jenkins &Ferrel, 1984 (FJF); Dhanoa et al., 1981 (FD); Cappio-Borlino et al., 1995 (FCB)e Sikka, 1950 (FS). Os critÃrios utilizados para verificar a qualidade do ajuste para cada funÃÃo foram o coeficiente de determinaÃÃo ajustado (RÂa),o quadrado mÃdio do resÃduo (RQM), o teste de Durbin-Watson, o grÃfico de distribuiÃÃo de resÃduo e a comparaÃÃo das curvas estimada e observada por avaliaÃÃo visual. Os valores dos RÂa para os modelos lineares variaram de 27 a 99%, sendo que 81% dos RÂa estimados apresentaram valores elevados para as funÃÃes ajustadas, indicando que essas funÃÃes poderiam ser utilizadas no ajuste da curva de lactaÃÃo mÃdia desse rebanho. Dentre os modelos intrinsecamente nÃo lineares a FGI estimou valores do RÂa superiores a 80% exceto para o grupo genÃtico 1/4H que apresentou valor de 39%. O QMR variou de 0,06 a 1,51 e apresentou um melhor ajuste para todos os GG. Jà os modelos nÃo lineares a funÃÃo que melhor se ajuste foi Dhanoa et al., 1981 (FD) apresentou valores do RÂa elevados variando de 39 a 99% para os grupos genÃticos. Entretanto, verificou-se tendÃncia negativa de correlaÃÃo entre sucessivos resÃduos para estas funÃÃes, pois 83% dos valores do DW foram superiores a 2.CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superiorhttp://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8313application/pdfinfo:eu-repo/semantics/openAccessporreponame:Biblioteca Digital de Teses e Dissertações da UFCinstname:Universidade Federal do Cearáinstacron:UFC2019-01-21T11:21:19Zmail@mail.com -
dc.title.en.fl_str_mv Adjustments of lactation curves of cows crossbred of races holstein and gir
dc.title.alternative.pt.fl_str_mv Ajustes de curvas de lactaÃÃo de vacas mestiÃas das raÃas holandesa e gir.
title Adjustments of lactation curves of cows crossbred of races holstein and gir
spellingShingle Adjustments of lactation curves of cows crossbred of races holstein and gir
Ellen Pereira Borges Santos
Bovino
DuraÃÃo da lactaÃÃo
EquaÃÃes matemÃticas
ProduÃÃo de leite
Cattle
Duration of lactation
Mathematical equations
Milk production
ZOOTECNIA
title_short Adjustments of lactation curves of cows crossbred of races holstein and gir
title_full Adjustments of lactation curves of cows crossbred of races holstein and gir
title_fullStr Adjustments of lactation curves of cows crossbred of races holstein and gir
title_full_unstemmed Adjustments of lactation curves of cows crossbred of races holstein and gir
title_sort Adjustments of lactation curves of cows crossbred of races holstein and gir
author Ellen Pereira Borges Santos
author_facet Ellen Pereira Borges Santos
author_role author
dc.contributor.advisor1.fl_str_mv SÃnia Maria Pinheiro de Oliveira
dc.contributor.advisor1ID.fl_str_mv 22877797368
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0531250908082683
dc.contributor.referee1.fl_str_mv ClÃudio Cabral Campello
dc.contributor.referee1ID.fl_str_mv 22973486300
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/7450299703011981
dc.contributor.referee2.fl_str_mv Gabrimar AraÃjo Martins
dc.contributor.referee2ID.fl_str_mv 17446678372
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/5048289284120320
dc.contributor.authorID.fl_str_mv 01894818547
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/2044262340141630
dc.contributor.author.fl_str_mv Ellen Pereira Borges Santos
contributor_str_mv SÃnia Maria Pinheiro de Oliveira
ClÃudio Cabral Campello
Gabrimar AraÃjo Martins
dc.subject.por.fl_str_mv Bovino
DuraÃÃo da lactaÃÃo
EquaÃÃes matemÃticas
ProduÃÃo de leite
topic Bovino
DuraÃÃo da lactaÃÃo
EquaÃÃes matemÃticas
ProduÃÃo de leite
Cattle
Duration of lactation
Mathematical equations
Milk production
ZOOTECNIA
dc.subject.eng.fl_str_mv Cattle
Duration of lactation
Mathematical equations
Milk production
dc.subject.cnpq.fl_str_mv ZOOTECNIA
dc.description.sponsorship.fl_txt_mv CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior
dc.description.abstract.por.fl_txt_mv The object of this study was to adjust the lactation curve of a cattle herd, using 415 lactations, including 19,025 controls of 206 crossbred cows of Holstein and Gir. Data from weekly milk weights used in this study are from property located in the municipality of Beberibe, in the littoral zone of Cearà State, in the period from 2006 to 2010. The adjustment was made for the average lactation curve, using six linear mathematical functions: Linear (FL), Quadratic (CF), Quadratic Logarithmic (FQL), logarithmic (FLG), hyperbolic (FH) and Cubic (FC), two intrinsically linear: Incomplete Gamma (FGI) and Exponential (FE) and five nonlinear described by Papajcsik & Bodero, 1988 (FPD); Ferrel & Jenkins, 1984 (FJF); Dhanoa et al., 1981 (FD); Borlino-Cappio et al., 1995 (FCB) and Sikka, 1950 (FS). The criteria used to assess the quality of fit for each function were the adjusted coefficient of determination (RÂa), the mean square (QMR), the Durbin-Watson and distribution chart of residue and comparison of curves and estimated observed by visual evaluation. The values of RÂa for linear models ranged from 27 to 99%, with 81% of the RÂa the estimates presented high values for the functions set, indicating that these features could be used in adjusting the lactation curve mean that flock. While models for intrinsically non-linear models FGI the estimated values of RÂa greater than 80% except for the genetic group 1/4H showing values of 39%. The QMR ranged from 0.60 to 1.518 and showed a better fit for all GG. Since the nonlinear function that best fits was Dhanoa et al., 1981 (FD) had values of RÂa to high ranging from 39 to 99% for the genetic groups. However, there was no tendency of correlation between successive residues for these functions, since 83% of DW values were higher than 2.
O objetivo do presente estudo foi ajustar a curva de lactaÃÃo de um rebanho bovino, utilizando-se 415 lactaÃÃes, referentes a 19.025 controles de 206 vacas mestiÃas das raÃas Holandesa e Gir. Os dados dos controles leiteiros semanais utilizados neste estudo sÃo provenientes da propriedade localizada no municÃpio de Beberibe, na zona litorÃnea do Estado CearÃ, no perÃodo de 2006 a 2010. O ajuste foi feito para a curva mÃdia de lactaÃÃes, utilizando-se seis funÃÃes matemÃticas lineares: Linear (FL), QuadrÃtica (FQ), QuadrÃtica LogarÃtmica (FQL), LogarÃtmica (FLG), HiperbÃlica (FH) e a CÃbica (FC); duas intrinsecamente lineares: Gama Incompleta (FGI) e a Exponencial (FE); e cinco nÃo lineares descritas por Papajcsik & Bodero, 1988 (FPD); Jenkins &Ferrel, 1984 (FJF); Dhanoa et al., 1981 (FD); Cappio-Borlino et al., 1995 (FCB)e Sikka, 1950 (FS). Os critÃrios utilizados para verificar a qualidade do ajuste para cada funÃÃo foram o coeficiente de determinaÃÃo ajustado (RÂa),o quadrado mÃdio do resÃduo (RQM), o teste de Durbin-Watson, o grÃfico de distribuiÃÃo de resÃduo e a comparaÃÃo das curvas estimada e observada por avaliaÃÃo visual. Os valores dos RÂa para os modelos lineares variaram de 27 a 99%, sendo que 81% dos RÂa estimados apresentaram valores elevados para as funÃÃes ajustadas, indicando que essas funÃÃes poderiam ser utilizadas no ajuste da curva de lactaÃÃo mÃdia desse rebanho. Dentre os modelos intrinsecamente nÃo lineares a FGI estimou valores do RÂa superiores a 80% exceto para o grupo genÃtico 1/4H que apresentou valor de 39%. O QMR variou de 0,06 a 1,51 e apresentou um melhor ajuste para todos os GG. JÃ os modelos nÃo lineares a funÃÃo que melhor se ajuste foi Dhanoa et al., 1981 (FD) apresentou valores do RÂa elevados variando de 39 a 99% para os grupos genÃticos. Entretanto, verificou-se tendÃncia negativa de correlaÃÃo entre sucessivos resÃduos para estas funÃÃes, pois 83% dos valores do DW foram superiores a 2.
description The object of this study was to adjust the lactation curve of a cattle herd, using 415 lactations, including 19,025 controls of 206 crossbred cows of Holstein and Gir. Data from weekly milk weights used in this study are from property located in the municipality of Beberibe, in the littoral zone of Cearà State, in the period from 2006 to 2010. The adjustment was made for the average lactation curve, using six linear mathematical functions: Linear (FL), Quadratic (CF), Quadratic Logarithmic (FQL), logarithmic (FLG), hyperbolic (FH) and Cubic (FC), two intrinsically linear: Incomplete Gamma (FGI) and Exponential (FE) and five nonlinear described by Papajcsik & Bodero, 1988 (FPD); Ferrel & Jenkins, 1984 (FJF); Dhanoa et al., 1981 (FD); Borlino-Cappio et al., 1995 (FCB) and Sikka, 1950 (FS). The criteria used to assess the quality of fit for each function were the adjusted coefficient of determination (RÂa), the mean square (QMR), the Durbin-Watson and distribution chart of residue and comparison of curves and estimated observed by visual evaluation. The values of RÂa for linear models ranged from 27 to 99%, with 81% of the RÂa the estimates presented high values for the functions set, indicating that these features could be used in adjusting the lactation curve mean that flock. While models for intrinsically non-linear models FGI the estimated values of RÂa greater than 80% except for the genetic group 1/4H showing values of 39%. The QMR ranged from 0.60 to 1.518 and showed a better fit for all GG. Since the nonlinear function that best fits was Dhanoa et al., 1981 (FD) had values of RÂa to high ranging from 39 to 99% for the genetic groups. However, there was no tendency of correlation between successive residues for these functions, since 83% of DW values were higher than 2.
publishDate 2012
dc.date.issued.fl_str_mv 2012-08-27
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
status_str publishedVersion
format masterThesis
dc.identifier.uri.fl_str_mv http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8313
url http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8313
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language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.publisher.program.fl_str_mv Programa de PÃs-GraduaÃÃo em Zootecnia
dc.publisher.initials.fl_str_mv UFC
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFC
instname:Universidade Federal do Ceará
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reponame_str Biblioteca Digital de Teses e Dissertações da UFC
collection Biblioteca Digital de Teses e Dissertações da UFC
instname_str Universidade Federal do Ceará
instacron_str UFC
institution UFC
repository.name.fl_str_mv -
repository.mail.fl_str_mv mail@mail.com
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