Pulso de oxigênio para determinação da produção de calor em vacas leiteiras

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Karen Brigitte Diaz Magaña
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://hdl.handle.net/1843/31056
Resumo: The objective of this study was evaluating the efficiency of the oxygen pulse (O 2P) methodology at different measurement times, using a respirometry chamber to estimate heat production in dairy cows. were used eleven dairy cows, (Six of breed Holstein and five ¾ Holstein x ¼ Gyr) with a mean of 100 lactating days, milk production of 23 kg/day and 576.5 ± 70 kg of body weight. A heat production was estimate using the respirometry chamber (EHPRC) and oxygen pulse (EHPO2P) methodology, in which heart rate (HR) was monitored for 4 consecutive days. Oxygen pulse was obtained by simultaneously measuring of HR and oxygen consumption (VO2) during 3, 6, 9, 12, 15, 18, 21 and 24 hours in two consecutive days. Two open flow respirometry chamber for big ruminants was employed to determine VO2 and carbon dioxide production. Data were analysis of repeat measurements, with the methodology of mix models through the PROC MIXED of SAS® (version 9.0) and the maximum restrained likelihood (REML) as the estimation method. Variation between estimate heat production EHPRC and EHPO2Pwas of 10% and was founded a correlation of 70.6% between methodologies. (P=0.03). HR and O2P showed difference (P<0.05) at time of three hours. VO2 showed difference just at 9 and 12 hours of measurements time (P<0.05). The use of the O2P methodology to determine the heat production has a high correlation with the respirometry chamber methodology. However, a minimum of 3 hours of evaluation is necessary to obtain a more accurate estimate.
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spelling 2019-11-19T12:22:41Z2025-09-09T00:46:32Z2019-11-19T12:22:41Z2019-07-10https://hdl.handle.net/1843/31056The objective of this study was evaluating the efficiency of the oxygen pulse (O 2P) methodology at different measurement times, using a respirometry chamber to estimate heat production in dairy cows. were used eleven dairy cows, (Six of breed Holstein and five ¾ Holstein x ¼ Gyr) with a mean of 100 lactating days, milk production of 23 kg/day and 576.5 ± 70 kg of body weight. A heat production was estimate using the respirometry chamber (EHPRC) and oxygen pulse (EHPO2P) methodology, in which heart rate (HR) was monitored for 4 consecutive days. Oxygen pulse was obtained by simultaneously measuring of HR and oxygen consumption (VO2) during 3, 6, 9, 12, 15, 18, 21 and 24 hours in two consecutive days. Two open flow respirometry chamber for big ruminants was employed to determine VO2 and carbon dioxide production. Data were analysis of repeat measurements, with the methodology of mix models through the PROC MIXED of SAS® (version 9.0) and the maximum restrained likelihood (REML) as the estimation method. Variation between estimate heat production EHPRC and EHPO2Pwas of 10% and was founded a correlation of 70.6% between methodologies. (P=0.03). HR and O2P showed difference (P<0.05) at time of three hours. VO2 showed difference just at 9 and 12 hours of measurements time (P<0.05). The use of the O2P methodology to determine the heat production has a high correlation with the respirometry chamber methodology. However, a minimum of 3 hours of evaluation is necessary to obtain a more accurate estimate.Outra AgênciaporUniversidade Federal de Minas GeraisConsumo de oxigênioCâmara respirométricaGirolandoHolandesFrequência cardíacaBovino de leiteHolandês (Bovino)Gir (Zebu)Bovino -- RespiraçãoVariabilidade do batimento cardíacoCalor animalPulso de oxigênio para determinação da produção de calor em vacas leiteirasinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisKaren Brigitte Diaz Magañainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGhttp://Amália Saturnino Chaveshttp://lattes.cnpq.br/6900658388700024Luciana Castro GeraseevObjetivou-se avaliar a eficiência da metodologia do pulso de oxigênio (O2P) em diferentes tempos de mensuração utilizando câmara respirométrica para estimar a produção de calor em vacas leiteiras. Utilizou-se 11 vacas leiteiras (seis da raça Holandesa e cinco vacas ¾ Holandes x ¼ Gir) com uma média de 100 dias de lactação e produção média de leite 23 kg/dia e média 576,5 ± 70 kg de peso. A produção de calor foi estimada usando a metodologia da câmara respirométrica (PCECR) e do pulso de oxigênio (PCEO2P), na qual a frequência cardíaca (FC) foi monitorada por quatro dias consecutivos. O O2P foi obtido pela medida simultânea da FC e do consumo de oxigênio durante 3, 6, 9, 12, 15, 18, 21 e 24 horas em dois dias consecutivos. Duas câmaras respirométrica de fluxo aberto para grandes ruminantes foram empregadas para determinar o consumo de oxigênio (VO2) e a produção de dióxido de carbono. Os dados foram analisados como medidas repetidas, com a metodologia de modelos mistos pelo procedimento através PROC MIXED do SAS® (versão 9.0) e a máxima verossimilhança restrita (REML). A variação entre PCECR e PCEO2Pfoi de 10% e foi observada uma correlação de 70,6% entre as duas metodologias (P = 0,03). FC e O2P apresentaram diferença (P <0,05) até três horas de mensuração. O VO2 apresentou diferença apenas às 9 e 12 horas do tempo de mensuração (P <0,05). O uso da metodologia O2P para determinar a produção de calor tem alta correlação com a metodologia da câmara respirométrica. No entanto, é necessário um mínimo de 3 horas de avaliação para obter uma estimativa mais precisa.BrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASPrograma de Pós-Graduação em Produção AnimalUFMGORIGINALKAREN DIAZ FINAL DISERTATION 28_08_19.pdfapplication/pdf437745https://repositorio.ufmg.br//bitstreams/7046ca62-bdb8-46f6-ae51-0e14a7cca3c5/downloadb850b54870293a11942e6ad1fbc6e62dMD51trueAnonymousREADLICENSElicense.txttext/plain2119https://repositorio.ufmg.br//bitstreams/78852231-41fb-41e6-b627-2b45ae1e534d/download34badce4be7e31e3adb4575ae96af679MD52falseAnonymousREADTEXTKAREN DIAZ FINAL DISERTATION 28_08_19.pdf.txttext/plain80945https://repositorio.ufmg.br//bitstreams/b4f5b971-184b-42d3-9aad-1ccb618e0589/downloadb9ada53219000205c12e75855029a688MD53falseAnonymousREAD1843/310562025-09-08 21:46:32.263open.accessoai:repositorio.ufmg.br:1843/31056https://repositorio.ufmg.br/Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-09T00:46:32Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)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
dc.title.none.fl_str_mv Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
title Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
spellingShingle Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
Karen Brigitte Diaz Magaña
Bovino de leite
Holandês (Bovino)
Gir (Zebu)
Bovino -- Respiração
Variabilidade do batimento cardíaco
Calor animal
Consumo de oxigênio
Câmara respirométrica
Girolando
Holandes
Frequência cardíaca
title_short Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
title_full Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
title_fullStr Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
title_full_unstemmed Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
title_sort Pulso de oxigênio para determinação da produção de calor em vacas leiteiras
author Karen Brigitte Diaz Magaña
author_facet Karen Brigitte Diaz Magaña
author_role author
dc.contributor.author.fl_str_mv Karen Brigitte Diaz Magaña
dc.subject.por.fl_str_mv Bovino de leite
Holandês (Bovino)
Gir (Zebu)
Bovino -- Respiração
Variabilidade do batimento cardíaco
Calor animal
topic Bovino de leite
Holandês (Bovino)
Gir (Zebu)
Bovino -- Respiração
Variabilidade do batimento cardíaco
Calor animal
Consumo de oxigênio
Câmara respirométrica
Girolando
Holandes
Frequência cardíaca
dc.subject.other.none.fl_str_mv Consumo de oxigênio
Câmara respirométrica
Girolando
Holandes
Frequência cardíaca
description The objective of this study was evaluating the efficiency of the oxygen pulse (O 2P) methodology at different measurement times, using a respirometry chamber to estimate heat production in dairy cows. were used eleven dairy cows, (Six of breed Holstein and five ¾ Holstein x ¼ Gyr) with a mean of 100 lactating days, milk production of 23 kg/day and 576.5 ± 70 kg of body weight. A heat production was estimate using the respirometry chamber (EHPRC) and oxygen pulse (EHPO2P) methodology, in which heart rate (HR) was monitored for 4 consecutive days. Oxygen pulse was obtained by simultaneously measuring of HR and oxygen consumption (VO2) during 3, 6, 9, 12, 15, 18, 21 and 24 hours in two consecutive days. Two open flow respirometry chamber for big ruminants was employed to determine VO2 and carbon dioxide production. Data were analysis of repeat measurements, with the methodology of mix models through the PROC MIXED of SAS® (version 9.0) and the maximum restrained likelihood (REML) as the estimation method. Variation between estimate heat production EHPRC and EHPO2Pwas of 10% and was founded a correlation of 70.6% between methodologies. (P=0.03). HR and O2P showed difference (P<0.05) at time of three hours. VO2 showed difference just at 9 and 12 hours of measurements time (P<0.05). The use of the O2P methodology to determine the heat production has a high correlation with the respirometry chamber methodology. However, a minimum of 3 hours of evaluation is necessary to obtain a more accurate estimate.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-11-19T12:22:41Z
2025-09-09T00:46:32Z
dc.date.available.fl_str_mv 2019-11-19T12:22:41Z
dc.date.issued.fl_str_mv 2019-07-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
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