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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
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Fecha : |
21/02/2014 |
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Actualizado : |
22/02/2014 |
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Autor : |
Berger, A.Castro, M.Ceretta, S. |
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Título : |
Uso de modelos de simulación para predecir el momento de espigazón y sensibilidad a fotoperiodo en trigo |
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Fecha de publicación : |
2009 |
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Fuente / Imprenta : |
La Estanzuela, Colonia (Uruguay): INIA, 2009. |
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Páginas : |
p. 19-24 |
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Serie : |
(INIA Serie Actividades de Difusión ; 566) |
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Idioma : |
Español |
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Notas : |
INIA La Estanzuela |
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Thesagro : |
CULTIVOS DE INVIERNO; ESPIGAS; MODELOS DE SIMULACION; TRIGO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/550/1/112761170409113435.pdf
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Marc : |
LEADER 00617naa a2200193 a 4500
001 1008437
005 2014-02-22
008 2009 bl uuuu u00u1 u #d
100 1 $aBERGER, A.CASTRO, M.CERETTA, S.
245 $aUso de modelos de simulación para predecir el momento de espigazón y sensibilidad a fotoperiodo en trigo
260 $c2009
300 $ap. 19-24
490 $a(INIA Serie Actividades de Difusión ; 566)
500 $aINIA La Estanzuela
650 $aCULTIVOS DE INVIERNO
650 $aESPIGAS
650 $aMODELOS DE SIMULACION
650 $aTRIGO
773 $tLa Estanzuela, Colonia (Uruguay): INIA, 2009.
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
22/04/2019 |
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Actualizado : |
22/04/2019 |
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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 : |
MIRABALLES, C.; RIET-CORREA, F.; SAPORITI, T.; LARA, S.; PARODI, P.; SÁNCHEZ, J. |
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Afiliación : |
MÓNICA CECILIA MIRABALLES FERRER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; TATIANA SAPORITI NOGUEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Universidad de la República (UdelaR)/ Facultad de Veterinaria.; STEPHANIE YOHANA LARA MARFETAN, Universidad de la República (UdelaR)/ Facultad de Veterinaria.; PABLO PARODI TEXEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Universidad de la República (UdelaR)/ Facultad de Veterinaria.; JAVIER SÁNCHEZ, University of Prince Edwards Island, Canada. |
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Título : |
Probability of Rhipicephalus microplus introduction into farms by cattle movement using a Bayesian Belief Network. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Ticks and Tick-borne Diseases, 2019. |
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DOI : |
10.1016/j.ttbdis.2019.04.009 |
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Idioma : |
Inglés |
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Notas : |
History Article: Received 1 October2018 // Received in revisedform 19March 2019 // Accepted 10April 2019. |
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Contenido : |
Attempts to eliminate Rhipicephalus microplus from Uruguay have been unsuccessful, and, currently, the country is divided into two areas: a tick-free area and a tick-infested area. In the tick-infested area, different farms face different situations. Some farms are in regions where, due to environmental conditions or a lack of infrastructure, it is difficult to eliminate R. microplus, and the only option is to control it. In contrast, other farms can attempt complete removal. Before deciding whether a farmer should attempt to eliminate R. microplus, the probability of reintroduction must be evaluated. The objective of this study was to develop a probabilistic model
based on a Bayesian Belief Network (BBN) to assess the likelihood of a farm becoming infested with R. microplus via the introduction of tick-infested cattle. Only the tick-infested area was considered in the development of this model. Nine variables related to environmental conditions and biosecurity measures, with a focus on cattle
movement, were considered. Three different sources of data were used to populate the BBN model: data from the literature; a representative national survey from 2016; and a survey developed to identify biosecurity practices on farms. Model sensitivity and specificity were assessed, and an overall accuracy of 92% was obtained. The
model was applied to 33 farms located in the tick-infested area. For one farm, the probability of introduction of R. microplus was 1%; for three farms, the probability was between 21% and 34%; for seven farms, it was between 66% and 76%; and for 22 farms, the probability was greater than 83%. This model was useful for estimating the
probability of the introduction of R. microplus into farms, making it possible to assess the impact that the evaluated biosecurity measures have on the probability of introduction and, thus, guiding more objective decision making about the control or elimination of R. microplus from farms. MenosAttempts to eliminate Rhipicephalus microplus from Uruguay have been unsuccessful, and, currently, the country is divided into two areas: a tick-free area and a tick-infested area. In the tick-infested area, different farms face different situations. Some farms are in regions where, due to environmental conditions or a lack of infrastructure, it is difficult to eliminate R. microplus, and the only option is to control it. In contrast, other farms can attempt complete removal. Before deciding whether a farmer should attempt to eliminate R. microplus, the probability of reintroduction must be evaluated. The objective of this study was to develop a probabilistic model
based on a Bayesian Belief Network (BBN) to assess the likelihood of a farm becoming infested with R. microplus via the introduction of tick-infested cattle. Only the tick-infested area was considered in the development of this model. Nine variables related to environmental conditions and biosecurity measures, with a focus on cattle
movement, were considered. Three different sources of data were used to populate the BBN model: data from the literature; a representative national survey from 2016; and a survey developed to identify biosecurity practices on farms. Model sensitivity and specificity were assessed, and an overall accuracy of 92% was obtained. The
model was applied to 33 farms located in the tick-infested area. For one farm, the probability of introduction of R. microplus was 1%; for three farms, the pro... Presentar Todo |
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Palabras claves : |
BAYESIAN BELIEF NETWORK; CATTLE TICK ELIMINATI; RHIPICEPHALUS MICROPLUS; RISK ASSESSMENT. |
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Thesagro : |
PLAGAS DE ANIMALES. |
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Asunto categoría : |
L72 Plagas de los animales |
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Marc : |
LEADER 02862naa a2200265 a 4500
001 1059731
005 2019-04-22
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.ttbdis.2019.04.009$2DOI
100 1 $aMIRABALLES, C.
245 $aProbability of Rhipicephalus microplus introduction into farms by cattle movement using a Bayesian Belief Network.$h[electronic resource]
260 $c2019
500 $aHistory Article: Received 1 October2018 // Received in revisedform 19March 2019 // Accepted 10April 2019.
520 $aAttempts to eliminate Rhipicephalus microplus from Uruguay have been unsuccessful, and, currently, the country is divided into two areas: a tick-free area and a tick-infested area. In the tick-infested area, different farms face different situations. Some farms are in regions where, due to environmental conditions or a lack of infrastructure, it is difficult to eliminate R. microplus, and the only option is to control it. In contrast, other farms can attempt complete removal. Before deciding whether a farmer should attempt to eliminate R. microplus, the probability of reintroduction must be evaluated. The objective of this study was to develop a probabilistic model based on a Bayesian Belief Network (BBN) to assess the likelihood of a farm becoming infested with R. microplus via the introduction of tick-infested cattle. Only the tick-infested area was considered in the development of this model. Nine variables related to environmental conditions and biosecurity measures, with a focus on cattle movement, were considered. Three different sources of data were used to populate the BBN model: data from the literature; a representative national survey from 2016; and a survey developed to identify biosecurity practices on farms. Model sensitivity and specificity were assessed, and an overall accuracy of 92% was obtained. The model was applied to 33 farms located in the tick-infested area. For one farm, the probability of introduction of R. microplus was 1%; for three farms, the probability was between 21% and 34%; for seven farms, it was between 66% and 76%; and for 22 farms, the probability was greater than 83%. This model was useful for estimating the probability of the introduction of R. microplus into farms, making it possible to assess the impact that the evaluated biosecurity measures have on the probability of introduction and, thus, guiding more objective decision making about the control or elimination of R. microplus from farms.
650 $aPLAGAS DE ANIMALES
653 $aBAYESIAN BELIEF NETWORK
653 $aCATTLE TICK ELIMINATI
653 $aRHIPICEPHALUS MICROPLUS
653 $aRISK ASSESSMENT
700 1 $aRIET-CORREA, F.
700 1 $aSAPORITI, T.
700 1 $aLARA, S.
700 1 $aPARODI, P.
700 1 $aSÁNCHEZ, J.
773 $tTicks and Tick-borne Diseases, 2019.
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INIA Tacuarembó (TBO) |
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