Overexpression of MiR482c in Tomato Induces Enhanced Susceptibility to Late Blight
نویسندگان
چکیده
منابع مشابه
Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging
This study investigated the potential of using hyperspectral imaging for detecting different diseases on tomato leaves. One hundred and twenty healthy, one hundred and twenty early blight and seventy late blight diseased leaves were selected to obtain hyperspectral images covering spectral wavelengths from 380 to 1023 nm. An extreme learning machine (ELM) classifier model was established based ...
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Late blight caused by Phytophthora infestans (Montagne, Bary) is a devastating disease of tomato worldwide. There are three known major genes, Ph-1, Ph-2, and Ph-3, conferring resistance to late blight. In addition to these three genes, it is also believed that there are additional factors or quantitative trait loci (QTL) conferring resistance to late blight. Precise molecular mapping of all th...
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In this work we applied simple computer graphics techniques and artificial neural networks technology to identify the tomatoes that had foliage diseases. We propose the use of low cost computational apparatus to support early detection of diseases and pests in Brazilian tomato crops. A description of methods and results are presented in this work. Our proposal consorts field experiments with in...
متن کاملAnalysis of Late Blight Disease in Tomato Leaf Using Image Processing Techniques
Tomato (Lycopersicon esculentum L.) is one of the most widely grown crops in the world. This crop is easily prone to various diseases. One such disease is late blight, caused by the fungus Phytophthora infestans. The first symptoms of late blight on tomato leaves are irregularly shaped, water soaked lesions, which are typically found on the younger leaves of the plant canopy. During humid condi...
متن کاملA Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
The use of decision support systems in agriculture may help monitoring large fields of crops by automatically detecting the symptoms of foliage diseases. In our work, we designed and implemented a decision support system for small tomatoes producers. This work investigates ways to recognize the late blight disease from the analysis of digital images of tomatoes, using a pair of multilayer perce...
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ژورنال
عنوان ژورنال: Cells
سال: 2019
ISSN: 2073-4409
DOI: 10.3390/cells8080822