There has been a remarkable scientific output on the topic of how climate change is likely to affect plant diseases. Climate change influences the occurrence, prevalence, and severity of plant diseases. Projected atmospheric and climate change will thus affect the interaction between crops and pathogens in multiple ways. This will also affect disease management with regard to timing, preference, and efficacy of chemical, physical, and biological measures of control and their utilization within integrated pest management (IPM) strategies. Prediction of future requirements in disease management is of great interest for agro-industries, extension services, and practical farmers. A comprehensive analysis of potential climate change effects on disease control is difficult because current knowledge is limited and fragmented and due to the complexity of future risks for plant disease management, particularly if new crops are introduced in an area. Uncertainty in models of plant disease development under climate change calls for a diversity of management strategies, from more participatory approaches to interdisciplinary science. Involvement of stakeholders and scientists from outside plant pathology shows the importance of trade-offs. All these efforts and integrations will produce effective crop protection strategies using novel technologies as appropriate tools to adapt to altered climatic conditions.
Eggplant is one of the important economic vegetable crop which is attacked by several serious diseases such as wilt. Fusarium oxysporum f. sp. melongenae was isolated from a naturally occurring epidemic of wilt in eggplant plants grown in New Valley governorate. In this study, the antagonistic activity of five Trichoderma species (Trichoderma spirale, T. hamatum, T. polysoprium, T. harzianum and T. viride) against F. oxysporium f. sp. melongenae was evaluated using dual culture technique. T. viride (isolate TVM-5) and T. hamatum (isolate THM-2) showed the highest antagonistic activity, while T. spirale (TSM-1) was the lowest one. In pot experiment, the obtained data showed that all Trichoderma species reduced significantly area under wilt progress curve caused by F. oxysporum f. sp. melongenae. Trichoderma viride and T. hamatum recorded the highest reduction of area under wilt progress curve (AUWPC) (244.0 and 325.33 AUWPC as compared to 1125.33 in control treatment, respectively). Under field conditions results showed that, these treatments significantly reduced AUWPC and increased all tested plant growth parameters (Plant height, No. of branches plant-1) and fruit yield components (number of fruits plant-1, fruits yield plant-1, fruit weight, No of fruit Kg-1, fruit length, fruit diameters and fruits yield fed.-1) compared with control during growing seasons (2011-2012 and 2012-2013). Trichoderma viride and T. hamatum were the best biocontrol agents as manifested by the significant reduction in both disease severity and increase plant growth parameters and fruit yield components.
Onion (Allium cepa L.) is grown worldwide for its fleshy bulbs which are used as food and medicinal purposes. In Egypt, onion is the 2nd major export crop after cotton. Downy mildew of onion, caused by Peronospora destructor (Berk.)Casp. is considered one of the most destructive disease of onion and has a wide geographical distribution includes Egypt. P. destructor is a polycyclic pathogen: many infection cycles can follow one another during an onion-growing season. When weather conditions are favourable, the fungus can complete its cycle in a short time and the disease can cause severe yield losses and affect negatively the Egyptian national income. Therefore disease management relies on routine applications of both protectant and eradicant fungicides (4-6 sprays) throughout the season but maintaining control in the life of the crop and timing applications effectively is difficult. In addition, reducing fungicide applications on onions is extremely desirable for the environment and consumer. A computerized forecasting model for onion downy mildew named by the author (ODM-Cast) was developed and field validated during 2006/2007 and 2007/2008 onion growing seasons in a disease hot spot cultivation site with a susceptible cultivar(Giza 20) and downy mildew disease severity was confirmed by the visual presence of leaves typical symptoms on onion plants in untreated plots. An advanced wireless telemetry Agro-weather station (Adcon A733 AddWave) which established within the crop canopy was used for monitoring the weather microelements such as: air temperature, relative humidity, leaf wetness, precipitation, global radiation and wind speed 24 hour a day. The results showed that ODM-Cast forecast model successfully indicated the disease daily infection potential and reduced the number of sprays in both years compared with the time table fundamental sprays in both 2006/2007 and 2007/2008, respectively. The basic roles of system analysis for model development and validation are discussed in details .
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