scholarly journals Susceptibility of American, European, and Interspecific Hybrid Grape Cultivars to the Fungus Septoria ampelina

HortScience ◽  
1994 ◽  
Vol 29 (1) ◽  
pp. 31-32
Author(s):  
James K. Mitchell ◽  
W. Keith Patterson ◽  
Robert H. Ford
Keyword(s):  
Vitis Vinifera ◽  
Disease Severity ◽  
Interspecific Hybrid ◽  
Leaf Spot ◽  
Leaf Spot Disease ◽  
Spot Disease ◽  
Grape Cultivars ◽  
Septoria Leaf Spot

European Vitis vinifera L. (four cultivars); interspecific hybrid (seven cultivars); and American V. aestivalis Michx. (one cultivar), V. labrusca L. (three cultivars), and V. rotundifolia Michx. (two cultivars) grapevines were tested for susceptibility to septoria leaf spot disease. V. rotundifolia cultivars Cowart and Fry exhibited hypersensitive-type resistance. All other American, European, and hybrid cultivars tested were susceptible with varying levels of disease severity. Cultivars with little (e.g., interspecific hybrid) or no (e.g., European) V. labrusca L. heritage were more susceptible to septoria leaf spot than American V. labrusca cultivars.

scholarly journals 799 PB 077 SUSCEPTIBILITY OF AMERICAN, EUROPEAN, AND INTERSPECIFIC HYBRID GRAPE CULTIVARS TO THE FUNGUS SEPTORIA AMPELINA

HortScience ◽  
1994 ◽  
Vol 29 (5) ◽  
pp. 547f-547
Author(s):  
James K. Mitchell ◽  
Robert H. Ford ◽  
W. Keith Patterson
Keyword(s):  
Vitis Vinifera ◽  
Disease Severity ◽  
Interspecific Hybrid ◽  
Leaf Spot ◽  
Leaf Spot Disease ◽  
Spot Disease ◽  
Grape Cultivars ◽  
Septoria Leaf Spot

European Vitis vinifera L. (four cultivars); interspecific hybrid (seven cultivars); and American V. aestivalis Michx. (one cultivar), V. labrusca L. (three cultivars), and V. rotundifolia Michx. (two cultivars) grapevines were tested for susceptibility to Septoria leaf spot disease. V. rotundifolia cultivars Cowart and Fry exhibited hypersensitive-type resistance. All other American, European, and hybrid cultivars tested were susceptible with varying levels of disease severity. Cultivars with little (e.g. interspecific hybrid) or no (e.g. European) V. labrusca L. heritage were more susceptible to Septoria leaf spot than American V. labrusca cultivars.

scholarly journals Pendeteksian Septoria pada Tanaman Tomat dengan Metode Deep Learning berbasis Raspberry Pi

2021 ◽  
Vol 5 (1) ◽  
pp. 107-113
Author(s):  
Kahlil Muchtar ◽  
Chairuman ◽  
Yudha Nurdin ◽  
Afdhal Afdhal
Keyword(s):  
Deep Learning ◽  
Leaf Spot ◽  
Raspberry Pi ◽  
Leaf Spot Disease ◽  
Detection Accuracy ◽  
Crop Failure ◽  
Tomato Production ◽  
Spot Disease ◽  
Average Accuracy ◽  
Septoria Leaf Spot

much needed to meet the needs of both industry and households. However, tomato plants still require serious handling in increasing the yields. Data from the Central Bureau of Statistics shows that the number of tomatoes produced is not in accordance with a large number of market demands, resulting from the decrease of tomato yields. One of the obstacles in increasing tomato production is that the crops are attacked by septoria leaf spot disease due to the fungus or the fungus Septoria Lycopersici Speg. Most farmers have limited knowledge of the early symptoms, which are not obvious, and also facing difficulty in detecting this disease earlier. The problem has been causing disadvantages such as crop failure or plant death. Based on this problem, a study will be conducted with the aim of designing a tool that can be used to detect septoria leaf spot disease based on deep learning using the Convolutional Neural Network (ConvNets or CNN) model, where an algorithm that resembles human nerves is one of the supervised learning and widely used for solving linear and non-linear problems. In addition, the researcher used the Raspberry Pi as a microcontroller and used the Intel Movidius Neural Computing Stick (NCS) which functions to speed up the computing process so that the detection process is easier because of its portable, fast and accurate nature. The average accuracy rate is 95.89% with detection accuracy between 84.22% to 100%.  

scholarly journals Batı Karadeniz Bölgesi Düzce Ekolojik Koşulları Altında Bazı Ekmeklik Buğday Çeşitlerinin Yaprak Hastalıklarına Karşı Reaksiyonlarının Belirlenmesi

2017 ◽  
Vol 5 (6) ◽  
pp. 653 ◽  
Author(s):  
Nedim Altın ◽  
Hüseyin Güngör ◽  
İsmet Yıldırım
Keyword(s):  
Leaf Spot ◽  
Yellow Rust ◽  
Natural Infection ◽  
Brown Rust ◽  
Leaf Spot Disease ◽  
Rust Disease ◽  
Wheat Varieties ◽  
Spot Disease ◽  
Tolerant Variety ◽  
Septoria Leaf Spot

This study was conducted to determine the response of 19 bread wheat varieties to natural infection of leaf diseases under ecological conditions of Düzce in the Western Black Sea Region. The trial was established in accordance with randomized block with four replications and the seeds were planted on 17.11.2015. The wheat varities were observed for the associated diseases including septoria leaf spot disease (caused by Septoria tritici during milking stage), yellow rust disease (caused by Puccinia striiformis at the end of the flowering period), brown rust disease (caused by Puccinia recondita at the beginning of milking stage). The disease severity were assessed in the field conditions according to natural contamination. According to determined diseases severity, the most sensitive variety against septoria leaf spot disease was “Bereket” with 60%, while the most tolerant variety was “Aslı” with 14%. The most sensitive variety against yellow rust disease was “Tekirdağ” with 45.4%, while the most tolerant variety was “Midas” with 0.6%. The most sensitive variety against brown rust disease was “Tahirova” with 22%, while the most tolerant variety was “Midas” with 0.2%. The results indicated that promising wheat varieties for future breeding studies were: Aldane, Aslı, Konya 2002, Köprü, Masaccio and Tosunbey (against septoria leaf spot disease), Aslı, Esperia, Kate A1, Karasunya Odeska, Masaccio and Midas (against yellow rust disease), Aldane, Aslı, Bereket, Köprü, Masaccio, Midas and Tekirdağ (against brown rust disease).

scholarly journals Leaf and canopy reflectance spectrometry applied to the estimation of angular leaf spot disease severity of common bean crops

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0196072 ◽  
Author(s):  
Víctor Martínez-Martínez ◽  
Jaime Gomez-Gil ◽  
Marley L. Machado ◽  
Francisco A. C. Pinto
Keyword(s):  
Common Bean ◽  
Disease Severity ◽  
Leaf Spot ◽  
Angular Leaf Spot ◽  
Leaf Spot Disease ◽  
Canopy Reflectance ◽  
Reflectance Spectrometry ◽  
Spot Disease

scholarly journals A study of Eggplant Leaf Spot Disease in Greenhouses at Basrah Province

2019 ◽  
Vol 32 ◽  
pp. 182-193
Author(s):  
Yehya A. Salih ◽  
Rusul J. Abdul Ridha
Keyword(s):  
Disease Severity ◽  
Leaf Spot ◽  
Dry Weight ◽  
Control Treatment ◽  
Leaf Spot Disease ◽  
Curvularia Lunata ◽  
Pathogenicity Test ◽  
Spot Disease ◽  
Tomato Cultivars ◽  
First Time

The present study has been conducted to isolate and identify the leaf fungal spot pathogens of eggplant at different regions of Basrah city and their  chemical  control. The results showed that the disease was spread at all regions cultivated with eggplant at Basrah province with infection percentages of 46.6-88.5%. The highest infection percent was recorded at Garmat Ali region (88.5%), while the lowest percent was recorded at the Agricultural station (46.6%). The highest percent of  disease severity (50 %) was recorded at Tomato Cultivars Breeding Project, while the lowest percent was recorded at Agricultural station (20%). Alternaria alternata, Cladosporium oxysporum and Curvularia lunata were isolated from the leaves infected with spot disease, the pathogenicity test revealed that all isolated fungi were pathogenic. C. oxysporum and C. lunata were recorded for the first time in Iraq as causal agents of eggplant leaf spot. The results showed that the fungicide Ortiva inhibited the growth of the fungi with an average of 95.7%, followed by Difecor ( 94.9%), additionally, it was noticed that all examined fungicides completely inhibited the growth of both C. oxysporum and C. lunata ( %100 for each one). The study revealed that the fungicide Ortiva significantly reduced the disease severity of eggplant leaf spot disease up to 11.6% compared with control treatment which was 25%. Finally the results explained that the fungicide Ortiva gave the best protection to eggplant which infected with leaf spot disease compared to the other fungicides, it achieved a best plant height, higher dry weight of shoot and root systems, higher leaf area and higher leaves number. Therefore it is recommended for controlling the spot disease.

scholarly journals Comparative Performance of Chemical and Biological-based Products in Management of Algal Leaf Spot on Magnolia

2020 ◽  
Vol 30 (6) ◽  
pp. 733-740
Author(s):  
Fulya Baysal-Gurel ◽  
Ravi Bika ◽  
Christina Jennings ◽  
Cristi Palmer ◽  
Terri Simmons
Keyword(s):  
Hydrogen Peroxide ◽  
Disease Severity ◽  
Leaf Spot ◽  
Growth Parameters ◽  
Leaf Spot Disease ◽  
Copper Oxychloride ◽  
Spot Disease ◽  
Disease Progress ◽  
Dimethyl Ammonium Chloride ◽  
Dimethyl Ammonium

Magnolia trees (Magnolia sp.) are a popular choice for consumers when choosing flowering woody plants for landscapes. Magnolia species grow in a wide variety of both temperate and tropical locations. Southern magnolia (Magnolia grandiflora) is one of the more popular magnolias due to its pleasing aesthetics: large showy flowers in a range of colors and evergreen foliage. However, magnolias can be affected by algal leaf spot. Algal leaf spot is caused by Cephaleuros virescens, which is a widespread plant parasitic green alga. There has been little research on how to treat algal leaf spot on magnolia plants. This study focuses on identifying effective biological- and chemical-based fungicides for the management of algal leaf spot disease of magnolia plants. Two experiments were conducted in a randomized complete block design with six replications per treatment and a total of 12 treatments, including a nontreated control. The first experiment (Expt. 1) was conducted in a shade house (56% shade) at McMinnville, TN, using southern magnolia plants. The second experiment (Expt. 2) was conducted at a commercial nursery in McMinnvillle, TN, in a field plot planted with ‘Jane’ magnolia (Magnolia liliiflora ‘Nigra’ × Magnolia stellata ‘Rosea’). The algal leaf spot disease severity, disease progression, plant marketability and growth parameters were evaluated. In both experiments, all treatments reduced algal leaf spot disease severity and disease progress in comparison with the nontreated control. In Expt. 1, copper octanoate, copper oxychloride, chlorothalonil water-dispersible granules, chlorothalonil suspension concentrate, didecyl dimethyl ammonium chloride, azoxystrobin + benzovindiflupyr, hydrogen peroxide + peroxyacetic acid, and mono- and di-potassium salts of phosphorus acid + hydrogen peroxide reduced the disease severity and disease progress the most and were not statistically different from one another. In Expt. 2, azoxystrobin + benzovindiflupyr, didecyl dimethyl ammonium chloride, and copper oxychloride significantly reduced disease severity and disease progress (area under disease progress curve). Treatments had no deleterious effect on plant growth parameters such as height and width, and no phytotoxicity of applied treatments or defoliation was observed. Treated magnolia plants had better plant marketability compared with the nontreated control plants. The findings of this study will help growers to achieve better management of algal leaf spot disease on magnolia trees.

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