19 research outputs found

    Assessing the variability in transmission of bovine tuberculosis within Spanish cattle herds

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    In Spain, despite years of efforts to eradicate bovine tuberculosis (bTB), the disease is still endemic, with some areas of high prevalence. In this context, the surveillance and control plans may need to be re-evaluated, and understanding the dynamics of bTB spread within Spanish herds may help to develop new strategies for reducing the time for detection of infected herds and for the elimination of bTB from the herds already infected. Here, we developed a compartmental stochastic model to simulate bTB within-herd transmission, fed it with epidemiological data from 22 herds (obtained from a previous work) and carried out parameter inference using Approximate Bayesian Computing methods We also estimated the “Within-herd transmission potential Number” (Rh), i.e. the average number of secondary cases generated by a single animal infected introduced into a totally susceptible herd, considering different scenarios depending on the frequency of controls. The median global values obtained for the transmission parameters were: for the transmission coefficient (β), 0.014 newly infected animals per infectious individual per day (i.e. 5.2 per year), for the rate at which infected individuals become infectious (α), 0.01 per day (equivalent to a latent period of 97 days), and for the rate at which infected individuals become reactive to the skin test (α1), 0.08 per day (equivalent to a period of 12 days for an infected animal to become reactive). However, the results also evidenced a great variability in the estimates of those parameters (in particular β and α) among the 22 herds. Considering a 6-month interval between tests, the mean Rh was 0.23, increasing to 0.82 with an interval of 1 year, and to 2.01 and 3.47 with testing intervals of 2 and 4 years, respectively.info:eu-repo/semantics/publishedVersio

    TRY plant trait database – enhanced coverage and open access

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    Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

    Seroprevalencia y factores de riesgo asociados a la infección por el Herpesvirus Bovino tipo 1 (BHV1) en rebaños bovinos no vacunados de Andalucía

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    An epidemiological and serological survey of bovine herpesvirus 1 (BHV1) infection was conducted in Andalusia from January to April of 2000. A total of 4,035 blood samples were collected from 164 herds. A questionnaire, which included variables potentially associated with infection, was filled out for each herd. Serum samples were obtained to identify specific BHV1 antibodies and were tested using a blocking ELISA test. The observed crude odds ratio (OR) (estimate of the chance of a particular event occurring in an exposed group in relation to its rate of occurrence in a nonexposed group) for vaccination is 9.8 (95% confidence interval: 8.3-11.7). The vaccinated group comprised large dairy farms. This study can only be considered as representative of unvaccinated, small to medium size dairy farms and beef farms in Andalusia. True seroprevalence of the BHV1 virus in nonvaccinated bovine populations in Andalusia reached 45.7% of individuals and 70.4% of herds. Risk factors for BHV1 infection in bovine Andalusian nonvaccinated herds are nonexistence of specific cattle infrastructure (OR: 3.07), beef crossbreeding (OR: 7.90), affiliation with Livestock Health Defence Associations (OR: 2.57), a history of reproductive disorders (OR: 8.39), external replacement (OR: 2.74), proximity to an urban area (OR: 6.11) and herd size (41.98). To control for confounding effects, a binomial logistic regression model was developed. From this regression, BHV1 infections are concentrated in large herds, with external replacement, located close to urban areas. This is the first published report on BHV1 prevalence in the South of Spain.Desde enero a abril de 2000 se ha realizado un estudio epidemiológico y serológico sobre la infección por el herpesvirus bovino tipo 1 (HVB1) en Andalucía, donde se tomaron un total de 4035 muestras de sangre procedentes de 164 rebaños, donde además se cumplimentó un cuestionario que incluye variables potencialmente asociadas a la infección. Mediante un kit ELISA de bloqueo se evaluó la presencia de anticuerpos frente al HVB1. El valor de odds ratio (OR) (probabilidad que tiene un suceso de ocurrir en un grupo expuesto a un factor en relación a la probabilidad en un grupo no expuesto) cruda para la vacunación frente al HVB1 es de 9,8 (IC 95%: 8,3-11,7). Al haberse vacunado las granjas grandes, que fueron eliminadas, el estudio es representativo sólo de granjas de pequeño y mediano tamaño. La prevalencia real en animales no vacunados es del 45,7%, mientras que la dispersión es del 70,4%. Los factores de riesgo detectados son: inexistencia de infraestructuras específicas (OR: 3,07), animales de razas no puras (OR: 7,90), pertenencia a asociaciones de defensa sanitaria (OR: 2,57), historial de trastornos reproductivos (OR: 8,39), reemplazo externo (OR: 2,74), proximidad a zonas urbanas (OR: 6,11) y tamaño del rebaño (41,98). Para limitar el impacto de variables confusoras, se generó un modelo mediante regresión logística, que señala que las infecciones se concentran en grandes rebaños con reemplazo externo en las proximidades de áreas urbanas. Este es el primer trabajo acerca de la prevalencia del HVB1 en el sur de España

    Positive impact of regulated deficit irrigation on yield and fruit quality in a commercial citrus orchard [Citrus sinensis (L.) Osbeck, cv. salustiano]

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    The impact that different regulated-deficit irrigation (RDI) treatments exert on a 12-year-old orange orchard (Citrus sinensis L. Osbeck, cv. salustiano) was studied from 2004 to 2007. The experiment consisted of a control irrigation treatment which was irrigated at 100% of the crop evapotranspiration (ETc) values for the whole season, and three deficit treatments imposed as a function of the water-stress index (WSI), which is defined as the ratio of the actual volume of water supply to the ETc rate. In our case, these WSI values were 0.75, 0.65, and 0.50, respectively. The stem-water potential at noon ([Psi]Stem) was used as a parameter to estimate the water status of the plant. Yield and fruit quality was evaluated at harvest in each treatment (taking into account the temporal variability of the results due to the climatic characteristics of each of the years of this study) and an overall analysis was made using the whole dataset. Significant differences were found in fruit quality parameters (total soluble solids and titrable acidity), which also showed significant regression coefficients with the values of the integrated stem-water potential. These results led us to conclude that in mature orange trees grown under these conditions, regulated-deficit irrigation has important and significant effects on the final fruit quality, but the effects are not so clear-cut in tree yield, where the differences in the case of reducing a 50% of the crop ETc, were not considered to be statistically significant despite an approximate 10% decrease in fruit yield. A global rescaled distance cluster analysis was performed in order to summarize the main relationships between the variables evaluated and to establish a different correlation matrix. Finally, a classification tree was derived and principal-component analysis was undertaken in order to identify and evaluate the variables which had the strongest effect on the crop response to different irrigation treatments.Citrus sinensis Regulated-deficit irrigation (RDI) Water-stress index (WSI) Stem-water potential Fruit quality
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