septoria leaf spot
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The aim of our study was to analyze the development of Septoria leaf spot in sunflower seedlings artificially infected with the mycelium suspension of the pathogen in the phytotron and to determine the degree of damage caused by this disease in the lines of different origins. The materials for the experiment were self-pollinating sunflower lines ZL22A, ZL58A, ZL78A (all of Zaporizhzhya breeding the Institute of Oilseeds Crops of NAAS) and line HAR7 (originating from the USA). The research was conducted in the phytotron facility at the Department of Genetics and Plant Resources of Zaporizhia National University. The seeds of selected sunflower samples were sown into the soil in the specially prepared pots containing drainage and a mixture of chernozem and sand in equal proportions to a depth of 3 cm in two rows of 10 seeds each, with a distance between seeds of 0.5-1 cm. The plants grew and developed on a photoperiod of 16/8 hours (day / night) at a temperature of 23-25oC and a relative humidity of 65%. All samples were watered when needed and received equal amounts of water. Sunflower plants were inoculated in accordance with generally accepted methods of phytopathology. Next, the infected plants were placed in a humid chamber. The plants were infected with the inoculum of a 30-day old mycelium culture of the fungus Septoria helianthi, grown by cultivating the pathogen on a solid nutrient medium. The isolation of pathogen in pure culture as well as preparation of inoculum for infection were carried out using methods which were generally accepted in phytopathology and mycology, supplemented by author's own methodology. The degree of damage to the plants was assessed by visual examination of all leaves, using a 5-point scale, modified for our studies. The affected lines were determined by the percentage of plants with a certain degree of damage. The results of this research showed that sunflower lines sustained varying degrees of damage and, accordingly, varying degrees of resistance to Septoria. The least affected was line HAR7, with 70% of the plants in this line having damaged leaves. The most damaged of those were cotyledons and the first pair of true leaves, whereas just 11.7% of plants had the second pair of true leaves damaged. Completely unaffected plants made up 29.5% of this line. Line ZL22A was affected by 75%. Almost all plants in this line had damaged cotyledons and the first pair of leaves, with 70%. Besides, there were 5% of plants that had all their leaves affected. The number of unaffected plants was 25%. It should be noted that the ZL22A line was close in degree of damage to that of the HAR7 line and showed relative susceptibility to Septoria under phytotron conditions. ZL58A and ZL78A lines were the most affected by Septoria, with 100%. In the ZL58A line, there were 56.2% of plants with damaged cotyledons and the first pair of true leaves, and 43.8% of plants whose second pair of true leaves showed the symptoms of the disease. The plants of the ZL78A line with lesions on the cotyledons and the first pair of true leaves made up 60%, whereas the number of plants with the symptoms of Septoria leaf spot on the second pair amounted to 40%. In general, these two lines were characterized by the same degree of damage and can be considered susceptible to Septoria leaf blight. The disease progression on the HAR7 line is 38.2%, on the ZL22A line is 40%, on the ZL78A line is 60%, on the ZL58A line is 60,9%. The findings show that sunflower plant lines that were artificially infected with an aqueous suspension of fungal mycelium containing Septoria leaf spot pathogen in the conditions of phytotron developed the disease rather rapidly and exhibited varying degrees of damage. The proposed method provides a reliable infection of sunflower samples with the pathogen S. helianthi, a rapid assessment of the intensity of damage to sunflower lines by septoria.


Author(s):  
Ana López-Moral ◽  
Carlos Agustí-Brisach ◽  
Maria Carmen Raya-Ortega ◽  
Maria Lovera ◽  
Carlos Trapero ◽  
...  

Septoria leaf spot (SLS) is the most prevalent disease of pistachio (Pistacia vera L.) in Spain. To elucidate its etiology, 22 samples of pistachio leaves showing SLS symptoms were collected mainly from 1993 to 2018 across southern Spain. Affected leaves from terebinth (P. terebinthus) were also collected for comparative purposes. Six Septoria-like isolates were recovered from pistachio leaves. They were identified as Septoria pistaciarum by sequencing ITS, RPB2 and LSU genes. The phenotypic characteristics of conidia and colonies were evaluated, confirming the identity of S. pistaciarum. Conidia were solitary, hyaline, and straight to curved. Large differences in length were observed between conidia from leaf samples, with those from terebinth being slightly larger than those from pistachio. Colonies showed slow mycelial growth on PDA. The effect of temperature on conidial germination and mycelial growth was evaluated in vitro on PDA. For both characters, the optimum temperature was approximately 19-20°C. Eight culture media were tested, with oatmeal agar (OA) and Spezieller Nährstoffarmer agar (SNA) showing the highest mycelial growth and pistachio leaf agar (PLA) showing the highest sporulation. A specific culture medium integrating lyophilized-powdered pistachio leaves into diluted PDA improved sporulation in comparison with PLA. Pathogenicity tests were conducted by inoculating detached and in planta pistachio and terebinth leaflets with conidial suspensions. Typical symptoms of SLS and cirri of S. pistaciarum developed at 10 and 21 days after inoculation, respectively, in both hosts. This is the first report of S. pistaciarum causing SLS in pistachio and terebinth in Spain.


2021 ◽  
pp. 91-106
Author(s):  
Md. Abu Nayyer ◽  
Md. Feza Ahmad ◽  
Md. Shamim ◽  
Deepa Lal ◽  
Deepti Srivastava ◽  
...  

2021 ◽  
Author(s):  
S. Khyaju ◽  
G. K. C. ◽  
R. Timila ◽  
S. Shrestha

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.


2021 ◽  
Vol 60 (1) ◽  
pp. 113-117
Author(s):  
Thomas THOMIDIS ◽  
Konstantinos MICHOS ◽  
Fotis CHATZIPAPADOPOULOS ◽  
Amalia TAMPAKI

Septoria leaf spot is an important disease of pistachio trees in Greece. This study aimed to determine effects of temperature and the incubation period on germination of conidia of Septoria pistaciarum, and to evaluate a generic model to forecast pistachio leaf spot under the field conditions of Aegina Island, Greece. The optimum temperature for conidium germination was 23°C, and germination was inhibited at 35 and 4°C. At constant temperature of 23°C, conidia commenced germination after 9 h. The predictive model indexed disease risk close to 100 at 10 May at two locations (Rachi Moschona and Vigla) in 2017, and first leaf spot symptoms were observed on 17 May. Moderate to high disease severity (>25% leaves infected) were observed in unsprayed trees at the end of May. In 2018, the model indexed risk close to 100 on 9 May at Rachi Moschona, and first symptoms were observed on 18 May. Moderate to high disease severity (>25% leaves infected) were observed in unsprayed trees on 25th of May. This study has shown that the forecasting model can be used in Aegina Island, Greece, to predict the severity of Septoria leaf spot of pistachio.


Plant Disease ◽  
2021 ◽  
Author(s):  
Mostafa Rahnama ◽  
Desiree Szarka ◽  
Hua Li ◽  
Ed Dixon ◽  
Lisa Castlebury ◽  
...  

Hemp reemerged in 2014 after being illegal for over 50 years and restricted for 90 years. Today, hemp is primarily grown for production of cannabidiol (CBD) with limited acreage dedicated to fiber. One of the most frequent and destructive leaf spot diseases of hemp cultivars grown for CBD is Septoria leaf spot. Symptoms are mostly observed in lower leaves and inner canopy. Leaf spots begin as small, irregular, brown to gray spots that rapidly expand to about 5.0 to 7.5 mm in diameter. Pycnidia are scattered, round, dark brown to black in color and measure 38.8 to 145.0 μm in diameter. Conidia are hyaline, curved but occasionally straight, pointed at the apex, and contain 3 to 4 septa. Morphological characteristics were like those reported for S. cannabis. Gene sequences from seven diagnostic loci (EF, TUB, RPB2, LSU, ITS, ACT and CAL) did not match any published accessions. There are no published sequences for S. cannabis available for comparison. Phylogenetic analysis of concatenated sequences showed that isolates from hemp grouped separately from other Septoria spp. Similarity of morphological characteristics and lack of matching sequence data to other Septoria spp. led to the conclusion that isolates collected from hemp in Kentucky are S. cannabis. This new information will serve as an update for Septoria leaf spot diagnostics, especially as hemp acreage continues to increase across the US.


2021 ◽  
Vol 5 (1) ◽  
pp. 107-113
Author(s):  
Kahlil Muchtar ◽  
Chairuman ◽  
Yudha Nurdin ◽  
Afdhal Afdhal

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%.  


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