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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
19/01/2022 |
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Actualizado : |
19/01/2022 |
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Autor : |
GUTHRIE, A.D.; LEARMOUNT, J.; VANLEEUWEN, J.; PEREGRINE, A.S.; KELTON, D.; MENZIES, P.I.; FERNÁNDEZ, S.; MARTIN, R.C.; MEDEROS, A.; TAYLOR, M.A. |
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Afiliación : |
A.D. GUTHRIE, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada.; J. LEARMOUNT, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada.; J. VANLEEUWEN, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island C1A 4P3, Canada.; A.S. PEREGRINE, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada.; D. KELTON, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada.; P.I. MENZIES, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada.; S. FERNÁNDEZ, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada; Organic Agriculture Centre of Canada, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada.; R.C. MARTIN, Organic Agriculture Centre of Canada, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada.; AMERICA ESTHER MEDEROS SILVEIRA, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada.; M.A. TAYLOR, Food and Environment Research Agency, Sand Hutton, York YO41 1LZ, United Kingdom. |
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Título : |
Evaluation of a British computer model to simulate gastrointestinal nematodes in sheep on Canadian farms. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Veterinary Parasitology, 2010, Volume 174, Issue 1-2, Pages 92-1052. doi: https://doi.org/10.1016/j.vetpar.2010.08.002 |
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ISSN : |
0304-4017 |
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DOI : |
10.1016/j.vetpar.2010.08.002 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 12 January 2010; Revised 21 July 2010; Accepted 2 August 2010; Available online 11 August 2010. |
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Contenido : |
ABSTRACT. - With increasing levels of anthelmintic resistance worldwide and a growing demand to produce more organic products, utilisation of control strategies for gastrointestinal nematodes (GIN) that minimize the use of anthelmintics becomes even more important. This study evaluated the farm-level performance of an existing predictive sheep parasite model from the United Kingdom (UK), using Canadian data. The UK model simulates the epidemiology of three major GIN species of interest (Teladorsagia spp., Haemonchus spp. and Trichostrongylus spp.) and provides a prediction about seasonal parasite levels of lambs and ewes. Model inputs were generated by using data from the first 2 years of a 3-year study (2006-2008) which examined the epidemiology of GIN parasitism in Ontario sheep flocks. Required input data included ewe parasite egg output, pasture-related information and management dynamics. Farm visits in 2006 and 2007 provided relevant data that were collected monthly during the grazing season, on six and seven occasions respectively. These data were collected from 10 ewes and 10 lambs on each farm. For 23 Ontario farms with available data, only 11 farms in 2006 and 14 in 2007 had suitable data to run in the model because the Canadian study was not specifically designed with this simulation model in mind. Observed values for faecal egg counts (FEC) were compared to the model FEC outputs and assessed using linear regression analysis. There was adequate fit between observed and simulated data for 8 of the 11 farms modelled using data generated in 2006 (F=7.55-42.66, df=10-11, R2=0.43-0.81, p=0.021 to <0.001) and with 8 of the farms modelled using data generated in 2007 (F=5.56-35.82, df=9-11, R2=0.36-0.82, p=0.040 to <0.001). We suggest that the poor fit between observed and simulated data for some data sets may be attributable to low-level infection on farms making regression difficult due to insensitivity of the egg count method at low values, or a pattern for immunity in ewes that contradicted the model assumptions. Required model modifications focused on accommodating the differences between UK and Canadian management styles; specifically the practice of bringing lambs indoors for weaning which was sometimes used on Canadian farms. © 2010. MenosABSTRACT. - With increasing levels of anthelmintic resistance worldwide and a growing demand to produce more organic products, utilisation of control strategies for gastrointestinal nematodes (GIN) that minimize the use of anthelmintics becomes even more important. This study evaluated the farm-level performance of an existing predictive sheep parasite model from the United Kingdom (UK), using Canadian data. The UK model simulates the epidemiology of three major GIN species of interest (Teladorsagia spp., Haemonchus spp. and Trichostrongylus spp.) and provides a prediction about seasonal parasite levels of lambs and ewes. Model inputs were generated by using data from the first 2 years of a 3-year study (2006-2008) which examined the epidemiology of GIN parasitism in Ontario sheep flocks. Required input data included ewe parasite egg output, pasture-related information and management dynamics. Farm visits in 2006 and 2007 provided relevant data that were collected monthly during the grazing season, on six and seven occasions respectively. These data were collected from 10 ewes and 10 lambs on each farm. For 23 Ontario farms with available data, only 11 farms in 2006 and 14 in 2007 had suitable data to run in the model because the Canadian study was not specifically designed with this simulation model in mind. Observed values for faecal egg counts (FEC) were compared to the model FEC outputs and assessed using linear regression analysis. There was adequate fit between observe... Presentar Todo |
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Palabras claves : |
Canada; Gastrointestinal parasites; Parasite management; Sheep; Simulation modelling. |
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Thesagro : |
ENFERMEDADES PARASITARIAS; OVINOS. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03463naa a2200349 a 4500
001 1062646
005 2022-01-19
008 2010 bl uuuu u00u1 u #d
022 $a0304-4017
024 7 $a10.1016/j.vetpar.2010.08.002$2DOI
100 1 $aGUTHRIE, A.D.
245 $aEvaluation of a British computer model to simulate gastrointestinal nematodes in sheep on Canadian farms.$h[electronic resource]
260 $c2010
500 $aArticle history: Received 12 January 2010; Revised 21 July 2010; Accepted 2 August 2010; Available online 11 August 2010.
520 $aABSTRACT. - With increasing levels of anthelmintic resistance worldwide and a growing demand to produce more organic products, utilisation of control strategies for gastrointestinal nematodes (GIN) that minimize the use of anthelmintics becomes even more important. This study evaluated the farm-level performance of an existing predictive sheep parasite model from the United Kingdom (UK), using Canadian data. The UK model simulates the epidemiology of three major GIN species of interest (Teladorsagia spp., Haemonchus spp. and Trichostrongylus spp.) and provides a prediction about seasonal parasite levels of lambs and ewes. Model inputs were generated by using data from the first 2 years of a 3-year study (2006-2008) which examined the epidemiology of GIN parasitism in Ontario sheep flocks. Required input data included ewe parasite egg output, pasture-related information and management dynamics. Farm visits in 2006 and 2007 provided relevant data that were collected monthly during the grazing season, on six and seven occasions respectively. These data were collected from 10 ewes and 10 lambs on each farm. For 23 Ontario farms with available data, only 11 farms in 2006 and 14 in 2007 had suitable data to run in the model because the Canadian study was not specifically designed with this simulation model in mind. Observed values for faecal egg counts (FEC) were compared to the model FEC outputs and assessed using linear regression analysis. There was adequate fit between observed and simulated data for 8 of the 11 farms modelled using data generated in 2006 (F=7.55-42.66, df=10-11, R2=0.43-0.81, p=0.021 to <0.001) and with 8 of the farms modelled using data generated in 2007 (F=5.56-35.82, df=9-11, R2=0.36-0.82, p=0.040 to <0.001). We suggest that the poor fit between observed and simulated data for some data sets may be attributable to low-level infection on farms making regression difficult due to insensitivity of the egg count method at low values, or a pattern for immunity in ewes that contradicted the model assumptions. Required model modifications focused on accommodating the differences between UK and Canadian management styles; specifically the practice of bringing lambs indoors for weaning which was sometimes used on Canadian farms. © 2010.
650 $aENFERMEDADES PARASITARIAS
650 $aOVINOS
653 $aCanada
653 $aGastrointestinal parasites
653 $aParasite management
653 $aSheep
653 $aSimulation modelling
700 1 $aLEARMOUNT, J.
700 1 $aVANLEEUWEN, J.
700 1 $aPEREGRINE, A.S.
700 1 $aKELTON, D.
700 1 $aMENZIES, P.I.
700 1 $aFERNÁNDEZ, S.
700 1 $aMARTIN, R.C.
700 1 $aMEDEROS, A.
700 1 $aTAYLOR, M.A.
773 $tVeterinary Parasitology, 2010, Volume 174, Issue 1-2, Pages 92-1052. doi: https://doi.org/10.1016/j.vetpar.2010.08.002
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| 8. |  | FERNÁNDEZ ,S.; FRAGA, M.; CASTELLS, M.; COLINA, R.; ZUNINO,P. Effect of the administration of Lactobacillus spp. strains on neonatal diarrhoea, immune parameters and pathogen abundance in pre-weaned calves. Beneficial Microbes, 1 September 2020, Volume 11, Issue 5, Pages 477-488. Doi: https://doi.org/10.3920/BM2019.0167| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
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Associate Editor: Junping Chen.
The authors thank Edgardo Rey and Wanda Iriarte for technical assistance in field experiment and...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 20. | | MEDEROS, A.; CARRACELAS, B.; MINHO, A.P.; FERNÁNDEZ, S.; SÁNCHEZ, J. Prevalence and Factors Associated with Anthelmintic Resistance in Gastrointestinal Nematodes of Cattle: A Systematic Review and Meta-analysis. Journal of Veterinary Medicine and Health, v. 2, no. 2, 2018. OPEN ACCESS. Article history: Received November 21, 2018; Accepted December 02, 2018; Published December 17, 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
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