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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
24/11/2015 |
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Actualizado : |
24/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
COTTLE, D.J.; VELAZCO, J.I.; HEGARTY, R.S.; MAYER, D.G. |
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Afiliación : |
JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Animal, 2015, v. 9 (12), p. 1949-1957. |
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DOI : |
10.1017/S1751731115001676 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 19 March 2015; Accepted 17 July 2015; First published online 24 August 2015. |
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Contenido : |
Spot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of
splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate
measured by GEM was explained by this feeding information. While using the preceding meal alone gave a biased (underestimate) of DMP, allowing for a longer feed history removed this bias. A power analysis taking into account the sources of variation in DMP indicated that to obtain an estimate of DMP with a 95% confidence interval within 5% of the observed 64 days mean of spot measures would require 40 animals measured over 45 days (two spot measurements per day) or 30 animals measured over 55 days. These numbers suggest that spot measurements could be made in association with feed efficiency tests made over 70 days. Spot measurements of enteric emissions can be used to define DMP but the number of animals and samples are larger than are needed when day-long measures are made. MenosSpot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of
splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate
measured by GEM was explained by ... Presentar Todo |
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Palabras claves : |
GASES DE EFECTO INVERNADERO; GREENFEED; MODELS; SPLINES. |
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Thesagro : |
METANO; MODELOS ANIMALES; VACUNOS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03126naa a2200265 a 4500
001 1053984
005 2021-06-24
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1017/S1751731115001676$2DOI
100 1 $aCOTTLE, D.J.
245 $aEstimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements.$h[electronic resource]
260 $c2015
500 $aArticle history: Received 19 March 2015; Accepted 17 July 2015; First published online 24 August 2015.
520 $aSpot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate measured by GEM was explained by this feeding information. While using the preceding meal alone gave a biased (underestimate) of DMP, allowing for a longer feed history removed this bias. A power analysis taking into account the sources of variation in DMP indicated that to obtain an estimate of DMP with a 95% confidence interval within 5% of the observed 64 days mean of spot measures would require 40 animals measured over 45 days (two spot measurements per day) or 30 animals measured over 55 days. These numbers suggest that spot measurements could be made in association with feed efficiency tests made over 70 days. Spot measurements of enteric emissions can be used to define DMP but the number of animals and samples are larger than are needed when day-long measures are made.
650 $aMETANO
650 $aMODELOS ANIMALES
650 $aVACUNOS
653 $aGASES DE EFECTO INVERNADERO
653 $aGREENFEED
653 $aMODELS
653 $aSPLINES
700 1 $aVELAZCO, J.I.
700 1 $aHEGARTY, R.S.
700 1 $aMAYER, D.G.
773 $tAnimal, 2015$gv. 9 (12), p. 1949-1957.
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Registro original : |
INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/01/2020 |
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Actualizado : |
21/01/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
CASAUX, M.L.; CAFFARENA, D.; SCHILD, C.; GIANNITTI, F.; RIET-CORREA, F.; FRAGA, M. |
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Afiliación : |
MARÍA LAURA CASAUX, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RUBEN DARÍO CAFFARENA LEDESMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay; CARLOS SCHILD, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN FRAGA COTELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Antibiotic resistance in Salmonella enterica isolated from dairy calves in Uruguay. (Veterinary Microbiology - Short Communication) |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Brazilian Journal of Microbiology, 1 October 2019, Volume 50, Issue 4, Pages 1139-1144. Doi: 10.1007/s42770-019-00151-w |
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ISSN : |
1517-8382 |
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DOI : |
10.1007/s42770-019-00151-w |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 22 January 2019 / Accepted: 4 September 2019.
The online version of this article contains supplementary material. |
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Contenido : |
ABSTRACT.
Salmonella enterica is an important animal and human pathogen that can cause enteritis and septicaemia in calves. Generally, antibiotics are prescribed for the treatment of salmonellosis in dairy calves. Here, we report the isolation of antibiotic resistant S. enterica serotypes from calves, including multidrug-resistant isolates. A total of 544 faecal samples from live healthy and diarrheic dairy calves from 29 commercial dairy farms and organ samples from 19 deceased calves that succumbed to salmonellosis in 12 commercial dairy farms in Uruguay were processed for selective S. enterica culture. In total, 41 isolates were serotyped, and susceptibility to 14 antibiotics, from 9 classes of compounds, was evaluated by disk-diffusion test. The minimum inhibitory concentration (MIC) was determined by microdilution. Salmonella Typhimurium was the most frequent serotype, followed by S. Dublin and S. Anatum. Whether determined by diffusion assay or microdilution, resistance to tetracycline, streptomycin and ampicillin were the most frequently pattern found. Based on MIC, 5 isolates were resistant to at least one antibiotic, 21 were resistant to 2 antibiotics, and 14 were multidrug-resistant (resistant to at least one antibiotic in 3 different categories of antibiotics). Eleven different resistance patterns were found. Multidrug resistance in S. enterica is a concern for animal and public health not only because of its zoonotic potential but also due to the possibility of transfer resistance determinants to other bacterial genera. This represents the first report of the antibiotic resistance in S. enterica in dairy farms in Uruguay.
© 2019, Sociedade Brasileira de Microbiologia. MenosABSTRACT.
Salmonella enterica is an important animal and human pathogen that can cause enteritis and septicaemia in calves. Generally, antibiotics are prescribed for the treatment of salmonellosis in dairy calves. Here, we report the isolation of antibiotic resistant S. enterica serotypes from calves, including multidrug-resistant isolates. A total of 544 faecal samples from live healthy and diarrheic dairy calves from 29 commercial dairy farms and organ samples from 19 deceased calves that succumbed to salmonellosis in 12 commercial dairy farms in Uruguay were processed for selective S. enterica culture. In total, 41 isolates were serotyped, and susceptibility to 14 antibiotics, from 9 classes of compounds, was evaluated by disk-diffusion test. The minimum inhibitory concentration (MIC) was determined by microdilution. Salmonella Typhimurium was the most frequent serotype, followed by S. Dublin and S. Anatum. Whether determined by diffusion assay or microdilution, resistance to tetracycline, streptomycin and ampicillin were the most frequently pattern found. Based on MIC, 5 isolates were resistant to at least one antibiotic, 21 were resistant to 2 antibiotics, and 14 were multidrug-resistant (resistant to at least one antibiotic in 3 different categories of antibiotics). Eleven different resistance patterns were found. Multidrug resistance in S. enterica is a concern for animal and public health not only because of its zoonotic potential but also due to the possibility of t... Presentar Todo |
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Palabras claves : |
Antibiotic resistance; Dairy calves; PLATAFORMA SALUD ANIMAL; Salmonella Anatum; Salmonella Dublin; Salmonella Typhimurium. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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Marc : |
LEADER 02796naa a2200289 a 4500
001 1060657
005 2020-01-21
008 2019 bl uuuu u00u1 u #d
022 $a1517-8382
024 7 $a10.1007/s42770-019-00151-w$2DOI
100 1 $aCASAUX, M.L.
245 $aAntibiotic resistance in Salmonella enterica isolated from dairy calves in Uruguay. (Veterinary Microbiology - Short Communication)$h[electronic resource]
260 $c2019
500 $aArticle history: Received: 22 January 2019 / Accepted: 4 September 2019. The online version of this article contains supplementary material.
520 $aABSTRACT. Salmonella enterica is an important animal and human pathogen that can cause enteritis and septicaemia in calves. Generally, antibiotics are prescribed for the treatment of salmonellosis in dairy calves. Here, we report the isolation of antibiotic resistant S. enterica serotypes from calves, including multidrug-resistant isolates. A total of 544 faecal samples from live healthy and diarrheic dairy calves from 29 commercial dairy farms and organ samples from 19 deceased calves that succumbed to salmonellosis in 12 commercial dairy farms in Uruguay were processed for selective S. enterica culture. In total, 41 isolates were serotyped, and susceptibility to 14 antibiotics, from 9 classes of compounds, was evaluated by disk-diffusion test. The minimum inhibitory concentration (MIC) was determined by microdilution. Salmonella Typhimurium was the most frequent serotype, followed by S. Dublin and S. Anatum. Whether determined by diffusion assay or microdilution, resistance to tetracycline, streptomycin and ampicillin were the most frequently pattern found. Based on MIC, 5 isolates were resistant to at least one antibiotic, 21 were resistant to 2 antibiotics, and 14 were multidrug-resistant (resistant to at least one antibiotic in 3 different categories of antibiotics). Eleven different resistance patterns were found. Multidrug resistance in S. enterica is a concern for animal and public health not only because of its zoonotic potential but also due to the possibility of transfer resistance determinants to other bacterial genera. This represents the first report of the antibiotic resistance in S. enterica in dairy farms in Uruguay. © 2019, Sociedade Brasileira de Microbiologia.
653 $aAntibiotic resistance
653 $aDairy calves
653 $aPLATAFORMA SALUD ANIMAL
653 $aSalmonella Anatum
653 $aSalmonella Dublin
653 $aSalmonella Typhimurium
700 1 $aCAFFARENA, D.
700 1 $aSCHILD, C.
700 1 $aGIANNITTI, F.
700 1 $aRIET-CORREA, F.
700 1 $aFRAGA, M.
773 $tBrazilian Journal of Microbiology, 1 October 2019, Volume 50, Issue 4, Pages 1139-1144. Doi: 10.1007/s42770-019-00151-w
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