Phenotypic and genetic variability of fungal isolates associated with the Septoria leaf spot disease of lettuce (Lactuca sativa) in Brazil

2021 ◽  
Author(s):  
C. S. Cabral ◽  
M. E. N. Fonseca ◽  
L. S. Boiteux ◽  
E. A. Barboza ◽  
J. S. Veloso ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Lactuca Sativa ◽  
Leaf Spot ◽  
Leaf Spot Disease ◽  
Spot Disease ◽  
Fungal Isolates ◽  
Septoria Leaf Spot

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 Analysis of virulence and genetic variability of Alternaria alternata associated with leaf spot disease in potato plants in Iran

2018 ◽  
Vol 53 (1) ◽  
Author(s):  
Mehdi Nasr Esfahani
Keyword(s):  
Genetic Variability ◽  
Alternaria Alternata ◽  
Leaf Spot ◽  
Random Amplified Polymorphic Dna ◽  
Management Strategies ◽  
Opportunistic Pathogen ◽  
Leaf Spot Disease ◽  
Plasma Membrane Atpase ◽  
Spot Disease ◽  
Vegetables And Fruits

Leaf spot disease in potato is caused by <em>Alternaria alternata</em> (Fr.) Keissler, an opportunistic pathogen that infests many agricultural crops worldwide in the field and during postharvest storage of vegetables and fruits. <em>Alternaria alternata</em> is associated with leaf spot disease in potato in Iran. Thus, there is a need to investigate the virulence and genetic variability of Iranian <em>A. alternata</em> isolates to facilitate the development of appropriate management strategies. In the present study, we analyzed a total of 28 isolates obtained from the main potato-growing regions of Iran, including the Ardebil, Hamedan, Isfahan, and Fars provinces. The pathogens were characterized based on sequence analysis of the genes encoding glyceraldehyde-3-phosphate dehydrogenase (<em>gpd</em>), plasma membrane ATPase, <em>Alternaria</em> allergen a 1 (Alt a1), calmodulin, and actin. In addition, random amplified polymorphic DNA (RAPD), intersimple sequence repeat (ISSR), and virulence studies were performed. Phylogenetic analysis of the combined dataset indicated that the five representative isolates were grouped with the subcluster comprising <em>A. alternata</em>. RAPD and ISSR analyses clustered the 28 <em>A. alternata</em> isolates into different groups with no correlation with their corresponding geographical origins. Results of the pathogenicity assay indicated that all <em>A. alternata</em> isolates were pathogenic against potato. However, the <em>A. alternata</em> isolates showed high variability in terms of virulence.

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 Estimation of genetic variability among peanut genotypes for resistance to leaf spot disease

2016 ◽  
Vol 15 (3) ◽  
Author(s):  
Q. Bano ◽  
M. Hassan ◽  
S.B. Hussain ◽  
M. Javed ◽  
M.A. Zulfiqar ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Leaf Spot ◽  
Leaf Spot Disease ◽  
Spot Disease

Identification and characterization of Septoria steviae as the causal agent of Septoria leaf spot disease of stevia in North Carolina

Mycologia ◽  
2019 ◽  
Vol 111 (3) ◽  
pp. 456-465 ◽  
Author(s):  
Alyssa M. Koehler ◽  
Maximo T. Larkin ◽  
Layne W. Rogers ◽  
Ignazio Carbone ◽  
Marc A. Cubeta ◽  
...  
Keyword(s):  
North Carolina ◽  
Leaf Spot ◽  
Causal Agent ◽  
Leaf Spot Disease ◽  
Spot Disease ◽  
Identification And Characterization ◽  
Septoria Leaf Spot

scholarly journals Suppression of Septoria Leaf Spot Disease of Tomato Using Aerated Compost Tea

HortScience ◽  
2004 ◽  
Vol 39 (4) ◽  
pp. 831D-831
Author(s):  
Chandrappa Gangaiah* ◽  
Edward E. Carey ◽  
Ned A. Tisserat
Keyword(s):  
Leaf Spot ◽  
Disease Incidence ◽  
Foliar Spray ◽  
Plant Diseases ◽  
Leaf Spot Disease ◽  
Compost Tea ◽  
Plastic Mulch ◽  
Tomato Cultivar ◽  
Spot Disease ◽  
Septoria Leaf Spot

Compost teas, made using an aerated brewing process, have been reported to have potential for controlling a range of plant diseases and improving crop health. Septoria leaf spot of tomato, caused by the fungus Septoria lycopersici, is a common and destructive disease of tomato in Kansas. A field trial was conducted at Wichita, Kansas during Summer 2003 to evaluate the potential of pre-plant compost, and compost tea applied as a foliar spray or through drip fertigation, to control Septoria leaf spot of tomato. The experimental design included three factors: Pre-plant application of 13N-13P-13K or vermicompost; fertigation with CaNO3 or compost tea; and foliar spray with compost tea, fungicide (Dithane) or water. A split plot design was used with fertigation treatments as main plots and the other two factors as sub-plots. There were 3 replications. Tomato cultivar Merced was used and individual plots consisted of 5 plants grown on beds covered with red plastic mulch and supported by stake and weave system. Aerated compost tea was brewed weekly using a vermicompost-based recipe including alfalfa pellets, molasses, humic acid, fish emulsion and yucca extract and applied to plots starting 2 weeks after transplanting. Disease incidence and severity were recorded weekly for 3 weeks following the appearance of disease. Plots were harvested twice weekly and counts of No. 1, No 2 and cull grade tomatoes were recorded. There were no effects of pre-plant or fertigation treatments on Septoria leaf spot disease, but there was a significant effect due to foliar sprays, with mean severity of compost-tea-sprayed plots (26.3%) and fungicide-sprayed plots (31.9%) significantly lower than water-sprayed plots (45.9%) at trial termination.

scholarly journals Management of Septoria leaf spot disease in tomato at Bhaktapur.

2021 ◽  
Author(s):  
S. Khyaju ◽  
G. K. C. ◽  
R. Timila ◽  
S. Shrestha
Keyword(s):  
Leaf Spot ◽  
Management Practices ◽  
Disease Incidence ◽  
Agricultural Practices ◽  
Viral Disease ◽  
Leaf Spot Disease ◽  
Spot Disease ◽  
Randomized Design ◽  
Cow Urine ◽  
Septoria Leaf Spot

Abstract A farmers' field survey was conducted during 2014 in Bhaktapur district to study socioeconomic status, agricultural practices and occurrence of Septoria Leaf Spot (Septoria lycopersici Mill.) of tomato and its management practices using random sampling of 25 respondents. Field experiment on management of Septoria Leaf Spot was conducted in a completely randomized design (CRD) with six treatments and four replications. The six treatments were (i) Astha Killer 15 (Azadirachta indica) 1500 ppm, (ii) Cow Urine (@ 5% concentration of cow urine; solar activation for 48 hours), (iii) Neem (2 ml/l water) + cow urine (5%) (1:1 ratio; final solution of 2 ml/l water), (iv) Chlorothalonil @ 2.5 gm/lt water, (v) Mancozeb (@ 2.5 gm/lt water), and (vi) control (water). Majority of farmers (70%) raised seedlings by themselves. Septoria Leaf Spot disease was the third important disease after Late Blight and viral disease. Septoria Leaf Spot disease was found in farms of 84% respondents. Septoria Leaf Spot symptom was found in leaf and both in leaf and stem in 47.62% and 52.38% respondents respectively. The disease incidence in field of 85.71% respondents was since 1-2 years. Higher relative humidity, higher precipitation and higher temperature were congenial for disease development. 80% of the respondents used synthetic fungicides for controlling the disease, where Mancozeb and Chlorothalonil were used by 44% and 20% respectively. Mancozeb was found most effective in controlling disease, followed by Chlorothalonil. Among the botanical treatments, Neem (2 ml/l water) + Cow urine (5%) was found effective in disease control than other two botanical treatments.

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