DISEASE RISK FORECASTING WITH BAYESIAN LEARNING NETWORKS: APPLICATION TO GRAPE POWDERY MILDEW (ERYSIPHE NECATOR) IN VINEYARDS

Disease Risk Forecasting with Bayesian Learning Networks: Application to Grape Powdery Mildew (Erysiphe necator) in Vineyards

Powdery mildew (Erysiphe necator) is a fungal disease causing significant loss of grape yield in commercial vineyards.The rate of development of this disease varies annually and is driven by complex interactions between the pathogen, its host, and environmental conditions.The long term impacts of weather and climate variability on disease developme

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Effects of Management, Dietary Intake, and Genotype on Rumen Morphology, Fermentation, and Microbiota, and on Meat Quality in Yaks and Cattle

Traditionally, yaks graze only natural grassland, even in harsh winters.Meat from grazing yaks is considered very healthy; however, feedlot fattening, equi-jec 7 which includes concentrate, has been introduced.We questioned whether this change in management and diet would have an impact on the rumen and meat quality of yaks.This study examined the

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