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Registro Completo |
Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
20/11/2017 |
Data da última atualização: |
29/12/2017 |
Autoria: |
CRUZ, R. K. S.; AFONSO, A.; SOUZA, F. F.; OBA, E.; PADOVANI, C. R.; RAMOS, P. R. R.; LORENÇO, M. L. G.; CHIACCHIO, S. B. |
Afiliação: |
Raíssa K. S. Cruz; Angélica Alfonso; Fabiana F. Souza; Eunice Oba; Carlos R. Padovani; Paulo R. R. Ramos; Maria Lúcia G. Lourenço; Simone B. Chiacchio. |
Título: |
Evaluation of neonatal vitality and blood glucose, lactate and cortisol concentrations in foals of the Paint Horse breed. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 37, n. 8, p. 891-896, ago. 2017. |
Idioma: |
Inglês |
Notas: |
Título em português: Avaliação dos padrões de vitalidade neonatal, glicemia, lactato e cortisol em potros da raça Paint Horse. |
Conteúdo: |
Clinical evaluations of newborns, as well as defining the therapeutic decision, represent significant challenges to the veterinarian. This study aimed to evaluate neonatal vitality using the modified Apgar score and blood glucose, lactate, and cortisol concentrations in newborn equines. Twenty foals of the Paint Horse breed born by normal delivery were evaluated during the first 48 hours of life. The modified Apgar score was determined at birth and 10 minutes later, with values ranging from 0 to 10. Blood samples for the laboratory tests were collected at birth and at 4, 8, 12, 16, 20, 24, 36, and 48 hours. The mean Apgar score was significantly lower at birth than at 10 minutes (p < 0.001). Blood glucose concentrations increased significantly between birth (98.90 ± 35.97 mg/dL) and 8 hours (127.90 ± 27.15 mg/dL), stabilizing after the first 12 hours (148.95 ± 29.59 mg/dL). Serum lactate concentrations showed a significant decrease across the time points tested, with the highest value occurring at birth (5.48 ± 2.17 mmol/L) and stabilizing after 24 hours (2.76 ± 1.31 mmol/L). Cortisol concentrations significantly decreased (p < 0.01) between 4 (10.46 ± 7.46 ?g/dL) and 48 hours (5.21 ± 3.35 ?g/dL), with the highest value occurring 4 hours after birth. The common occurrence of laboratory abnormalities in healthy newborn foals reinforces the need to conduct regular clinical examinations and to develop laboratory reference values for different breeds and ages. |
Palavras-Chave: |
Apgar score; Equino neonato; Escore de apgar; Estresse neonatal; Glicemia; Lactatemia; Neonatal stress; Neonate equine. |
Thesaurus Nal: |
Blood glucose. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/167047/1/Evaluation-of-neonatyal-vitali9ty-and-blood-glucose.pdf
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Marc: |
LEADER 02576naa a2200325 a 4500 001 2080191 005 2017-12-29 008 2017 bl uuuu u00u1 u #d 100 1 $aCRUZ, R. K. S. 245 $aEvaluation of neonatal vitality and blood glucose, lactate and cortisol concentrations in foals of the Paint Horse breed.$h[electronic resource] 260 $c2017 500 $aTítulo em português: Avaliação dos padrões de vitalidade neonatal, glicemia, lactato e cortisol em potros da raça Paint Horse. 520 $aClinical evaluations of newborns, as well as defining the therapeutic decision, represent significant challenges to the veterinarian. This study aimed to evaluate neonatal vitality using the modified Apgar score and blood glucose, lactate, and cortisol concentrations in newborn equines. Twenty foals of the Paint Horse breed born by normal delivery were evaluated during the first 48 hours of life. The modified Apgar score was determined at birth and 10 minutes later, with values ranging from 0 to 10. Blood samples for the laboratory tests were collected at birth and at 4, 8, 12, 16, 20, 24, 36, and 48 hours. The mean Apgar score was significantly lower at birth than at 10 minutes (p < 0.001). Blood glucose concentrations increased significantly between birth (98.90 ± 35.97 mg/dL) and 8 hours (127.90 ± 27.15 mg/dL), stabilizing after the first 12 hours (148.95 ± 29.59 mg/dL). Serum lactate concentrations showed a significant decrease across the time points tested, with the highest value occurring at birth (5.48 ± 2.17 mmol/L) and stabilizing after 24 hours (2.76 ± 1.31 mmol/L). Cortisol concentrations significantly decreased (p < 0.01) between 4 (10.46 ± 7.46 ?g/dL) and 48 hours (5.21 ± 3.35 ?g/dL), with the highest value occurring 4 hours after birth. The common occurrence of laboratory abnormalities in healthy newborn foals reinforces the need to conduct regular clinical examinations and to develop laboratory reference values for different breeds and ages. 650 $aBlood glucose 653 $aApgar score 653 $aEquino neonato 653 $aEscore de apgar 653 $aEstresse neonatal 653 $aGlicemia 653 $aLactatemia 653 $aNeonatal stress 653 $aNeonate equine 700 1 $aAFONSO, A. 700 1 $aSOUZA, F. F. 700 1 $aOBA, E. 700 1 $aPADOVANI, C. R. 700 1 $aRAMOS, P. R. R. 700 1 $aLORENÇO, M. L. G. 700 1 $aCHIACCHIO, S. B. 773 $tPesquisa Veterinária Brasileira, Rio de Janeiro$gv. 37, n. 8, p. 891-896, ago. 2017.
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Registro Completo
Biblioteca(s): |
Embrapa Clima Temperado. |
Data corrente: |
12/03/2015 |
Data da última atualização: |
12/03/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MOLES, A. T.; PERKINS, S. E.; LAFFAN, S. W.; FLORES-MORENO, H.; AWASTHY, M.; TINDALL, M. L.; SACK, L.; PITMAN, A.; KATTGE, J.; AARSSEN, L. W.; ANAND, M.; BAHN, M.; BLONDER, B.; CAVENDER-BARES, J.; CORNELISSEN, J. H. C.; CORNWELL, W. K.; DÍAZ, S.; DICKIE, J. B.; FRESCHET, G. T.; GRIFFITHS, J. G.; GUTIERREZ, A. G.; HEMMINGS, F. A.; HICKLER, T.; HITCHCOCK, T. D.; KEIGHERY, M.; KLEYER, M.; KUROKAWA, H.; LEISHMAN, M. R.; LIU, K.; NIINEMETS, U.; ONIPCHENKO, V.; ONODA, Y.; PENUELAS, J.; PILLAR, V. D.; REICH, P. B.; SHIODERA, S.; SIEFERT, A.; SOSINSKI JUNIOR, E. E.; SOUDZILOVSKAIA, N. A.; SWAINE, E. K.; SWENSON, N. G.; VAN BODEGOM, P. M.; WARMAN, L.; WEIHER, E.; WRIGHT, I. J.; ZHANG, H.; ZOBEL, M.; BONSER, S. P. |
Afiliação: |
ANGELA T. MOLES, THE UNIVERSITY OF NEW SOUTHWALES; SARAH E. PERKINS, THE UNIVERSITY OF NEW SOUTHWALES; SHAWN W. LAFFAN, THE UNIVERSITY OF NEW SOUTHWALES; HABACUC FLORES-MORENO; MONICA AWASTHY; MARIANNE L. TINDALL; LAWREN SACK; ANDY PITMAN; JENS KATTGE; LONNIE W. AARSSEN; MADHUR ANAND; MICHAEL BAHN; BENJAMIN BLONDER; JEANNINE CAVENDER-BARES; J. HANS C. CORNELISSEN; WILL K. CORNWELL; SANDRA DÍAZ; JOHN B. DICKIE; GRÉGOIRE T. FRESCHET; JOSHUA G. GRIFFITHS; ALVARO G. GUTIERREZ; FRANK A. HEMMINGS; THOMAS HICKLER; TIMOTHY D. HITCHCOCK; MATTHEW KEIGHERY; MICHAEL KLEYER; HIROKO KUROKAWA; MICHELLE R. LEISHMAN; KENWIN LIU; ÜLO NIINEMETS; VLADIMIR ONIPCHENKO; YUSUKE ONODA; JOSEP PENUELAS; VALÉRIO D. PILLAR; PETER B. REICH; SATOMI SHIODERA; ANDREW SIEFERT; ENIO EGON SOSINSKI JUNIOR, CPACT; NADEJDA A. SOUDZILOVSKAIA; EMILY K. SWAINE; NATHAN G. SWENSON; PETER M. VAN BODEGOM; LAURA WARMAN; EVAN WEIHER; IAN J. WRIGHT; HONGXIANG ZHANG; MARTIN ZOBEL; STEPHEN P. BONSER. |
Título: |
Which is a better predictor of plant traits: temperature or precipitation? |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Journal of Vegetation Science, v. 25, p. 1167-1180, 2014. |
DOI: |
10.1111/jvs.12190 |
Idioma: |
Inglês |
Conteúdo: |
Question: Are plant traits more closely correlated with mean annual temperature, or with mean annual precipitation? Location: Global. Methods: We quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species-site combinations worldwide. We used meta-analysis to provide an overall answer to our question. Results: Mean annual temperature was significantly more strongly correlated with plant traits than was mean annual precipitation. Conclusions: Our study provides support for some of the assumptions of classical vegetation theory, and points to many interesting directions for future research. The relatively low R2 values for precipitation might reflect the weak link between mean annual precipitation and the availability of water to plants. |
Palavras-Chave: |
Plant. |
Thesagro: |
Clima; Planta; Temperatura. |
Thesaurus NAL: |
climate; temperature. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02779naa a2200769 a 4500 001 2011286 005 2015-03-12 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1111/jvs.12190$2DOI 100 1 $aMOLES, A. T. 245 $aWhich is a better predictor of plant traits$btemperature or precipitation?$h[electronic resource] 260 $c2014 520 $aQuestion: Are plant traits more closely correlated with mean annual temperature, or with mean annual precipitation? Location: Global. Methods: We quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species-site combinations worldwide. We used meta-analysis to provide an overall answer to our question. Results: Mean annual temperature was significantly more strongly correlated with plant traits than was mean annual precipitation. Conclusions: Our study provides support for some of the assumptions of classical vegetation theory, and points to many interesting directions for future research. The relatively low R2 values for precipitation might reflect the weak link between mean annual precipitation and the availability of water to plants. 650 $aclimate 650 $atemperature 650 $aClima 650 $aPlanta 650 $aTemperatura 653 $aPlant 700 1 $aPERKINS, S. E. 700 1 $aLAFFAN, S. W. 700 1 $aFLORES-MORENO, H. 700 1 $aAWASTHY, M. 700 1 $aTINDALL, M. L. 700 1 $aSACK, L. 700 1 $aPITMAN, A. 700 1 $aKATTGE, J. 700 1 $aAARSSEN, L. W. 700 1 $aANAND, M. 700 1 $aBAHN, M. 700 1 $aBLONDER, B. 700 1 $aCAVENDER-BARES, J. 700 1 $aCORNELISSEN, J. H. C. 700 1 $aCORNWELL, W. K. 700 1 $aDÍAZ, S. 700 1 $aDICKIE, J. B. 700 1 $aFRESCHET, G. T. 700 1 $aGRIFFITHS, J. G. 700 1 $aGUTIERREZ, A. G. 700 1 $aHEMMINGS, F. A. 700 1 $aHICKLER, T. 700 1 $aHITCHCOCK, T. D. 700 1 $aKEIGHERY, M. 700 1 $aKLEYER, M. 700 1 $aKUROKAWA, H. 700 1 $aLEISHMAN, M. R. 700 1 $aLIU, K. 700 1 $aNIINEMETS, U. 700 1 $aONIPCHENKO, V. 700 1 $aONODA, Y. 700 1 $aPENUELAS, J. 700 1 $aPILLAR, V. D. 700 1 $aREICH, P. B. 700 1 $aSHIODERA, S. 700 1 $aSIEFERT, A. 700 1 $aSOSINSKI JUNIOR, E. E. 700 1 $aSOUDZILOVSKAIA, N. A. 700 1 $aSWAINE, E. K. 700 1 $aSWENSON, N. G. 700 1 $aVAN BODEGOM, P. M. 700 1 $aWARMAN, L. 700 1 $aWEIHER, E. 700 1 $aWRIGHT, I. J. 700 1 $aZHANG, H. 700 1 $aZOBEL, M. 700 1 $aBONSER, S. P. 773 $tJournal of Vegetation Science$gv. 25, p. 1167-1180, 2014.
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