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Registros recuperados : 345 | |
141. | | SILVA, A. L.; MARCONDES, M. I.; CAMPOS, M. M.; SILVA, T. E.; TRECE, A. S.; SANTOS, J. S. A. A.; MORAES, S. G. S.; RODRIGUES, J. P. P. Dry matter intake in crossbred dairy calves. Journal of Dairy Science, v. 96, p. 398, 2013. Suppl. 1. Edição dos abstracts do ASAS Joint Annual Meeting, 2013, Indianápolis. Biblioteca(s): Embrapa Gado de Leite. |
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142. | | ORNELAS, L. T. C.; SILVA, D. C.; TOMICH, T. R.; CAMPOS, M. M.; MACHADO, F. S.; FERREIRA, A. L.; MAURICIO, R. M.; PEREIRA, L. G. R. Differences in methane production, yield and intensity and its effects on metabolism of dairy heifers. Science of The Total Environment, v. 689, p. 1133-1140, 2019. Biblioteca(s): Embrapa Gado de Leite. |
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143. | | FERREIRA, S. E.; GOMES, M. B.; NEVES, L. F. M.; SCHMITZ, A. L.; SILVA, A. S.; DIAVÃO, J.; COELHO, S. G.; TOMICH, T. R.; CAMPOS, M. M. Efeito da amplitude térmica no desempenho e desenvolvimento corporal de bezerros nos primeiros 28 dias de idade. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE PIBIC/CNPQ, 26., 2022, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2022. p. 120-123. Biblioteca(s): Embrapa Gado de Leite. |
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144. | | SANTOS, G. B.; CARVALHO, B. C. de; VARGAS, M. W.; MACHADO, F. S.; PIRES, M. de F. A.; CAMPOS, M. M.; VARAGO, F. C.; ALVES, B. R. C. Produção de leite e avaliação automatizada do consumo de matéria seca e de água de vacas diagnosticadas com metrite. In: CONGRESSO INTERNACIONAL DO LEITE, 13., 2015, Porto Alegre. Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. 4 p. Biblioteca(s): Embrapa Gado de Leite. |
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145. | | TRECE, A. S.; SILVA, A. L. da; MOREIRA, T. S.; SILVA, T. E. da; DUARTE, M. M. C.; TRECE, A. S.; MARCONDES, M. I.; CAMPOS, M. M. Exigência e eficiência de utilização da proteina metabolizável para ganho de bezerros mestiços Holandês x Gir lactentes. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 24., 2014, Vitória. Anais... Vitória: Universidade Federal do Espírito Santo, 2014. 3 p. Biblioteca(s): Embrapa Gado de Leite. |
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146. | | SILVA, T. E. da; RODRIGUES, J. P. P.; LIMA, J. C. M.; CASTRO, M. M. D.; TRECE, A. S.; MARCONDES, M. I.; MACHADO, F. S.; CAMPOS, M. M. Exigências líquidas de mantença e eficiência de retenção de cálcio, fósforo, sódio, potássio e magnésio de bezerros da raça Holandesa até os 87 dias de idade. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 24., 2014, Vitória. Anais... Vitória: Universidade Federal do Espírito Santo, 2014. 3 p. Biblioteca(s): Embrapa Gado de Leite. |
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147. | | LOMBARDI, M. C.; DINIZ NETO, H. do C.; COELHO, S. G.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; CAMPOS, M. M. Evaluation of ingestive behavior, ruminal and blood parameters, performance, and thermography as a phenotypic divergence markers of residual feed intake in rearing dairy heifers. Animals, v. 12, n. 3, article 331, 2022. Biblioteca(s): Embrapa Gado de Leite. |
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148. | | SILVA, S. A. T.; ORNELAS, L. T. C.; SILVA, D. C.; SACRAMENTO, J. P.; TOMICH, T. R.; MACHADO, F. S.; CAMPOS, M. M.; PEREIRA, L. G. R. Efeito da divergência na produção, rendimento e intensidade de metano no metabolismo de novilhas leiteiras. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 24., 2019, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2019. 4 p. Editor Técnico: Leônidas Paixão Passos, Embrapa Gado de Leite. Biblioteca(s): Embrapa Gado de Leite. |
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149. | | LUIZ, M. T.; REIS, L. G.; MACHADO, F. S.; CAMPOS, M. M.; TOMICH, T. R.; SILVA FILHO, A. A.; VELASCO, F. O.; PEREIRA, L. G. R. Efeito do extrato de Solanum paniculatum sobre a produção de metano entérico in vitro. In: CONGRESSO INTERNACIONAL DO LEITE, 13., 2015, Porto Alegre. Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. 4 p. Biblioteca(s): Embrapa Gado de Leite. |
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150. | | MARTINS, P. C.; CAMPOS, M. M.; JAYME, C. G.; MACHADO, F. S.; TOMICH, T. R.; PEREIRA, L. G. R.; SILVA, R. B. e; ARAÚJO, W. L. de P. Levantamento das técnicas zootécnicas utilizadas na criação de bezerras leiteiras no município de Rio Pomba, MG. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 15., 2015, Juiz de Fora, MG. Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. (Embrapa Gado de Leite. Documentos, 176.). 1 p. Biblioteca(s): Embrapa Gado de Leite. |
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151. | | MARTINS, P. do C.; CAMPOS, M. M.; LIMA, J. A. M.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; POSSAS, F. P.; COELHO, S. G. Infrared thermography in Crossbred (Holsreins x Gyr) dairy heifers differing in phenotypic residual feed intake In: INTERNATIONAL MEETING OF ADVANCES IN ANIMAL SCIENCE, 1., 2016, Jaboticabal. Anais ... Jaboticabal: [s.n.], 2016. Biblioteca(s): Embrapa Gado de Leite. |
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152. | | MARÇAL-PEDROZA, M. G.; CAMPOS, M. M.; MARTINS, M. F.; SILVA, M. V. G. B.; COSTA, M. J. R. P. da; NEGRÃO, J. A.; SANT'ANNA, A. C. Is the temperament of crossbred dairy cows related to milk cortisol and oxytocin concentrations, milk yield, and quality? PLoS ONE, v. 18, n. 6, e0286466, 2023. Biblioteca(s): Embrapa Gado de Leite. |
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155. | | MARCONDES, M. I.; PROVAZZI, F. P.; SILVESTRE, T.; SILVA, A. L.; VALADARES FILHO, S. C.; CAMPOS, M. M.; MACHADO, F. S.; ROTTA, P. P. Protein requirements for pregnant dairy cows. Journal of Dairy Science, v. 106, p. 8821-8834, 2023. Biblioteca(s): Embrapa Gado de Leite. |
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156. | | MARCONDES, M. I.; SILVESTRE, T.; DIJKSTRA, J.; PROVAZZI, F. P.; SILVA, A. L.; VALADARES FILHO, S. C.; CAMPOS, M. M.; MACHADO, F. S.; ROTTA, P. P. Protein requirements for pregnant dairy cows. Animal - Science Proceedings, v. 13, n. 3, p. 253-254, 2022. Edição dos Anais do VII International Symposium on Energy and Protein Metabolism and Nutrition, 2022, Granada, Spain. Biblioteca(s): Embrapa Gado de Leite. |
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157. | | GONTIJO, M. H. R.; BORGES, A. L. C. C.; GONÇALVES, L. C.; RODRIGUES, J. A. S.; GOMES, S. P.; BORGES, I.; RODRIGUEZ, N. M.; CAMPOS, M. M. Potencial forrageiro de seis híbridos de sorgo com capim sudão. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 7, n. 1, p. 33-43, 2008. Biblioteca(s): Embrapa Milho e Sorgo. |
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158. | | LIMA, J. C. M.; RODRIGUES, J. P. P.; MARCONDES, M. I.; CAMPOS, M. M.; SILVA, T. E.; TREECE, A. S.; GONZAGA, N. C. S.; OLIVEIRA, A. F. W. Predicting dry matter intake of Holstein calves. Journal of Dairy Science, v. 96, p. 398, 2013. Suppl. 1. Edição dos abstracts do ASAS Joint Annual Meeting, 2013, Indianápolis. Biblioteca(s): Embrapa Gado de Leite. |
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159. | | LOPES, F. C. F.; CAMPOS, M. M.; BORGES, A. L. C. C.; PANCOTI, C. G.; SILVA, R. R.; MOREIRA, T. S. Rumen parameters and passage rate in cattle fed diets based on sugarcane hydrolyzed with calcium oxide. Semina: Ciências Agrárias, v. 39, n. 6, p. 2783-2794, 2018. Biblioteca(s): Embrapa Gado de Leite. |
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160. | | OSS, D. B.; MARCONDES, M. I.; MACHADO, F. S.; TOMICH, T. R.; CHIZZOTTI, M. L.; CAMPOS, M. M.; PEREIRA, L. G. R. Technical note: Assessment of the oxygen pulse and heart rate method using respiration chambers and comparative slaughter for measuring heat production of cattle. Journal of Dairy Science, v. 99, n. 11, p. 8885-8890, 2016. Biblioteca(s): Embrapa Gado de Leite. |
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Registros recuperados : 345 | |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
16/10/2023 |
Data da última atualização: |
22/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MARCONDES, M. I.; PROVAZZI, F. P.; SILVESTRE, T.; SILVA, A. L.; VALADARES FILHO, S. C.; CAMPOS, M. M.; MACHADO, F. S.; ROTTA, P. P. |
Afiliação: |
Washington State University; Universidade Federal de Viçosa; Washington State University; Universidade Federal de Viçosa; VALADARES FILHO, Universidade Federal de Viçosa; MARIANA MAGALHAES CAMPOS, CNPGL; FERNANDA SAMARINI MACHADO, CNPGL; Universidade Federal de Viçosa. |
Título: |
Protein requirements for pregnant dairy cows. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Journal of Dairy Science, v. 106, p. 8821-8834, 2023. |
DOI: |
https://doi.org/10.3168/jds.2023-23321 |
Idioma: |
Inglês |
Conteúdo: |
We aimed to estimate the protein requirements of pregnant Holstein × Gyr cows. Sixty-one Holstein × Gyr (HG) cows were used, with an average initial BW of 480 ± 10.1 kg and 5 ± 0.5 yrs of age. Cows were divided into 3 groups: pregnant (n = 43), non-pregnant (n = 12), and baseline (n = 6). Baseline animals were slaughtered before starting the experiment to estimate the initial body composition of the remaining animals. Pregnant and non-pregnant cows received 2 diets: maintenance and ad libitum. Pregnant cows were slaughtered at 139, 199, 241, and 268 gestation days (GD). First, we used data only from non-pregnant cows to determine the requirements for maintenance and growth in adult cows. The requirements of metabolizable protein for maintenance (MPm; g/EBW0.75/d) were estimated using a linear regression between the metabolizable protein intake (MPI, g/d) and average daily gain (g/d), and the MPm was defined as the intercept divided by the average BW0.75. Net protein requirements for gain (NPg; g/d) were estimated by the first derivative of the allometric equation between final crude protein (CP) in the body (kg) and the final EBW (kg). The efficiency of use of metabolizable protein for gain (k) was calculated from the regression between the retained protein (g/EBW0.75/d) and the MPI (g/EBW0.75/d), and k was the slope of this regression. The MPI was estimated by combining microbial protein synthesis (purine derivatives) with the digestible rumen undegradable protein [(total protein intake minus RDP) × intestinal digestibility]. Second, an exponential model was used to fit the protein accumulation in the gestational components in the function of GD. The first derivative of that model was considered the net requirement for gestation (NPgest). The efficiency of protein utilization for gestation (kgest) was calculated by the iterative method using the equation: ? = MPI - (MPm + NPg/kg + NPgest/kgest). The iteration was performed aiming at a zero deviation between observed MPI and MP estimated by the requirements determined herein. We obtained a value of 3.88 g/EBW0.75/d for MPm. The estimation of NPg can be calculated according to the following equation: NPg = 0.716 × (EBWopen-0.308) × EBGcorrected, where EBWopen is the empty BW (kg) for non-pregnant animals and EBGcorrected is the empty body gain (kg/d) corrected for the gestational component. The k was determined as 0.347. The net protein requirements for gestation (NPgest) were determined as NPgest (g/d) = 0.0008722 × exp(0.01784 × GD) × (calfweight/35). The efficiency of using metabolizable protein for gestation (kgest) was 0.625. It is important to highlight that different methods of MP estimates should not be mixed and that the proposed method requires the estimate of microbial protein (estimate it via urinary estimates) and might be a limitation for practical application. In conclusion, new studies should be conducted to validate our results and the methodology adopted to determine protein requirements for pregnancy in dairy cows. Due to the pattern of protein accumulation in the gestational components, we suggest that exponential model to describe protein requirements for pregnancy for dairy cows. MenosWe aimed to estimate the protein requirements of pregnant Holstein × Gyr cows. Sixty-one Holstein × Gyr (HG) cows were used, with an average initial BW of 480 ± 10.1 kg and 5 ± 0.5 yrs of age. Cows were divided into 3 groups: pregnant (n = 43), non-pregnant (n = 12), and baseline (n = 6). Baseline animals were slaughtered before starting the experiment to estimate the initial body composition of the remaining animals. Pregnant and non-pregnant cows received 2 diets: maintenance and ad libitum. Pregnant cows were slaughtered at 139, 199, 241, and 268 gestation days (GD). First, we used data only from non-pregnant cows to determine the requirements for maintenance and growth in adult cows. The requirements of metabolizable protein for maintenance (MPm; g/EBW0.75/d) were estimated using a linear regression between the metabolizable protein intake (MPI, g/d) and average daily gain (g/d), and the MPm was defined as the intercept divided by the average BW0.75. Net protein requirements for gain (NPg; g/d) were estimated by the first derivative of the allometric equation between final crude protein (CP) in the body (kg) and the final EBW (kg). The efficiency of use of metabolizable protein for gain (k) was calculated from the regression between the retained protein (g/EBW0.75/d) and the MPI (g/EBW0.75/d), and k was the slope of this regression. The MPI was estimated by combining microbial protein synthesis (purine derivatives) with the digestible rumen undegradable protein [(total p... Mostrar Tudo |
Thesagro: |
Bovino; Gado Leiteiro; Período de Gestação; Proteína; Vaca Leiteira. |
Thesaurus NAL: |
Gestation period; Holstein; Pregnancy. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/260912/1/Protein-requirements-for-pregnant-dairy-cows.pdf
|
Marc: |
LEADER 04078naa a2200313 a 4500 001 2157260 005 2024-01-22 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3168/jds.2023-23321$2DOI 100 1 $aMARCONDES, M. I. 245 $aProtein requirements for pregnant dairy cows.$h[electronic resource] 260 $c2023 520 $aWe aimed to estimate the protein requirements of pregnant Holstein × Gyr cows. Sixty-one Holstein × Gyr (HG) cows were used, with an average initial BW of 480 ± 10.1 kg and 5 ± 0.5 yrs of age. Cows were divided into 3 groups: pregnant (n = 43), non-pregnant (n = 12), and baseline (n = 6). Baseline animals were slaughtered before starting the experiment to estimate the initial body composition of the remaining animals. Pregnant and non-pregnant cows received 2 diets: maintenance and ad libitum. Pregnant cows were slaughtered at 139, 199, 241, and 268 gestation days (GD). First, we used data only from non-pregnant cows to determine the requirements for maintenance and growth in adult cows. The requirements of metabolizable protein for maintenance (MPm; g/EBW0.75/d) were estimated using a linear regression between the metabolizable protein intake (MPI, g/d) and average daily gain (g/d), and the MPm was defined as the intercept divided by the average BW0.75. Net protein requirements for gain (NPg; g/d) were estimated by the first derivative of the allometric equation between final crude protein (CP) in the body (kg) and the final EBW (kg). The efficiency of use of metabolizable protein for gain (k) was calculated from the regression between the retained protein (g/EBW0.75/d) and the MPI (g/EBW0.75/d), and k was the slope of this regression. The MPI was estimated by combining microbial protein synthesis (purine derivatives) with the digestible rumen undegradable protein [(total protein intake minus RDP) × intestinal digestibility]. Second, an exponential model was used to fit the protein accumulation in the gestational components in the function of GD. The first derivative of that model was considered the net requirement for gestation (NPgest). The efficiency of protein utilization for gestation (kgest) was calculated by the iterative method using the equation: ? = MPI - (MPm + NPg/kg + NPgest/kgest). The iteration was performed aiming at a zero deviation between observed MPI and MP estimated by the requirements determined herein. We obtained a value of 3.88 g/EBW0.75/d for MPm. The estimation of NPg can be calculated according to the following equation: NPg = 0.716 × (EBWopen-0.308) × EBGcorrected, where EBWopen is the empty BW (kg) for non-pregnant animals and EBGcorrected is the empty body gain (kg/d) corrected for the gestational component. The k was determined as 0.347. The net protein requirements for gestation (NPgest) were determined as NPgest (g/d) = 0.0008722 × exp(0.01784 × GD) × (calfweight/35). The efficiency of using metabolizable protein for gestation (kgest) was 0.625. It is important to highlight that different methods of MP estimates should not be mixed and that the proposed method requires the estimate of microbial protein (estimate it via urinary estimates) and might be a limitation for practical application. In conclusion, new studies should be conducted to validate our results and the methodology adopted to determine protein requirements for pregnancy in dairy cows. Due to the pattern of protein accumulation in the gestational components, we suggest that exponential model to describe protein requirements for pregnancy for dairy cows. 650 $aGestation period 650 $aHolstein 650 $aPregnancy 650 $aBovino 650 $aGado Leiteiro 650 $aPeríodo de Gestação 650 $aProteína 650 $aVaca Leiteira 700 1 $aPROVAZZI, F. P. 700 1 $aSILVESTRE, T. 700 1 $aSILVA, A. L. 700 1 $aVALADARES FILHO, S. C. 700 1 $aCAMPOS, M. M. 700 1 $aMACHADO, F. S. 700 1 $aROTTA, P. P. 773 $tJournal of Dairy Science$gv. 106, p. 8821-8834, 2023.
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