Eco-friendly management of late blight of potato– A review
نویسندگان
چکیده
منابع مشابه
Late blight resistance in a diploid full-sib potato family
Late blight, caused by Phytophthora infestans (Mont.) de Bary, is the most destructive disease of potato worldwide. As this pathogen can rapidly overcome major race-specific resistance genes, identifying the basis for enhanced quantitative resistance has become a crucial element for implementing advanced breeding strategies. A population of 230 full-sib progeny derived from a cross between two ...
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Late blight of potato (Solanum tuberosum L.), incited by Phytophthora infestans (Mont.) de Bary, is a devastating disease affecting tuber yield and storage. Recent work has isolated a resistance gene, RB, from the wild species Solanum bulbocastanum Dun. Earlier work in Toluca, Mexico, observed significant levels of field resistance under intense disease pressure in a somatic hybrid containing R...
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A web-based decision support system (DSS) for potato and tomato late blight management has been developed which links several models into a system that enables prediction of disease dynamics based on weather conditions, crop information, and management tactics. Growers identify the location of their production unit of interest (latitude and longitude of field) and the system automatically obtai...
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Database management systems (DBMSs) have largely ignored the task of managing the energy consumed during query processing. Both economical and environmental factors now require that DBMSs pay close attention to energy consumption. In this paper we approach this issue by considering energy consumption as a first-class performance goal for query processing in a DBMS. We present two concrete techn...
متن کاملa forecasting model for potato late blight in gorgan
late blight, caused by phytophthora infestans, is one of the most important diseases of potato in the world and iran, especially in golestan province. 16 models have introduced for forecasting the disease in the world, sofar. in order to developing a forecasting model, wether and disease occurrence data during the recent 10 years were used.then, 22 variables were built using daily temperature, ...
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ژورنال
عنوان ژورنال: Journal of Applied and Natural Science
سال: 2017
ISSN: 2231-5209,0974-9411
DOI: 10.31018/jans.v9i2.1282