Epidemiology / Épidémiologie The development of a dynamic disease- forecasting model to control Entomosporium mespili on Amelanchier alnifolia

نویسندگان

  • Q. A. Holtslag
  • W. R. Remphrey
  • W. G. D. Fernando
  • G. H. B. Ash
چکیده

Entomosporium leaf and berry spot, which is caused by the fungal pathogen Entomosporium mespili, can cause up to 100% yield loss in Amelanchier alnifolia (saskatoon) in years when weather conditions are conducive to disease development. In an effort to optimize the effectiveness and minimize the use of fungicides, a dynamic diseaseforecasting model was developed. The model uses a disease pressure index equation, which integrates information regarding the phenological development of saskatoon, the relationship of disease to inoculum potential and production, leaf-wetness duration and temperature, inoculum release, and host susceptibility, to provide an estimate of disease pressure. When the model was evaluated, a strong correlation was found between predicted disease pressure and observed disease symptom development. After the field data were combined, the model could account for 82% of the variation in the increase of mean lesion number per leaf observed during the preharvest period. Control thresholds, together with application and control guidelines for use of the fungicide propiconazole, were added to the model, which was then evaluated in a field trial. A preliminary field test of the model showed that its use resulted in reduced disease development prior to the completion of fruit harvest.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Epidemiology / Épidémiologie Estimating inoculum production relative to percent leaf area infected and environmental conditions required for stimulating release of Entomosporium mespili conidia on Amelanchier alnifolia

Amelanchier alnifolia, commonly known as saskatoon, is a fruit-bearing shrub native to the Canadian Prairies. Currently, production is limited by the fungal pathogen Entomosporium mespili. It was found that there is a positive linear relationship between the relative concentration of E. mespili conidia (X) and the percent of saskatoon leaf area that is infected (Y), as represented by the equati...

متن کامل

Epidemiology / Épidémiologie Leaf-wetness duration and temperature required for infection of saskatoon leaves by Entomosporium mespili under controlled conditions

The influence of leaf-wetness duration and temperature on infection of Amelanchier alnifolia (saskatoon) by Entomosporium mespili was quantified in controlled-environment studies. Plants were inoculated with a conidial suspension and then subjected to a period of leaf wetness (0, 6, 12, and 24 h), after which they were moved to a growth room set at a fixed temperature (10, 15, 20, 25, and 30°C)...

متن کامل

Molecular screening of phytochemicals from Amelanchier Alnifolia against HCV NS3 protease/helicase using computational docking techniques

Hepatitis C is serious health concern worldwide caused by HCV. It causes liver cirrhosis and hepato-cellular carcinoma. Development of prevention solutions is under progress. Meanwhile, the treatment of the viral disease using compounds isolated from natural medicinal plants is promising. The traditional use of photo-chemicals from medicinal plants like Amelanchier alnifolia for viral treatment...

متن کامل

Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange

During the recent decades, neural network models have been focused upon by researchers due to their more real performance and on this basis, different types of these models have been used in forecasting. Now, there is a question that which kind of these models has more explanatory power in forecasting the future processes of the stock. In line with this, the present paper made a comparison betw...

متن کامل

Comparison of Kullback-Leibler, Hellinger and LINEX with Quadratic Loss Function in Bayesian Dynamic Linear Models: Forecasting of Real Price of Oil

In this paper we intend to examine the application of Kullback-Leibler, Hellinger and LINEX loss function in Dynamic Linear Model using the real price of oil for 106 years of data from 1913 to 2018 concerning the asymmetric problem in filtering and forecasting. We use DLM form of the basic Hoteling Model under Quadratic loss function, Kullback-Leibler, Hellinger and LINEX trying to address the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004