Academic literature on the topic 'Black rot disease'

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Journal articles on the topic "Black rot disease"

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Toessi, Goudjo H., Elisée G. D. L. Amari, Rachidatou Sikirou, Yéfoungnigui S. Yéo, and Jean-Fabrice Adanvé. "Inventory, and Dissemination of Citrus Fungal Diseases in Benin." International Journal of Phytopathology 13, no. 1 (2024): 25–41. http://dx.doi.org/10.33687/phytopath.013.01.4712.

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Fungal diseases are a major constraint for the intensification of citrus production in Benin. The aim of this study was to identify the main citrus fungal diseases and to assess their distribution, prevalence, and severity). A total of 315 orchards were surveyed in the four agro-ecological zones (AEZ V, VI, VII, and VIII) where citrus is produced in Benin. During the surveys, samples of diseased fruits were collected for isolation in the laboratory. The results revealed four main fungal diseases including black spot caused by Phyllosticta sp., anthracnose caused by Colletotrichum sp., brown ro
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Nivetha., I., and M. Padmaa Dr. "Disease Detection in Tree Leaves and Fruits using Image Processing Techniques." Journal of Radio and Television Broadcast 3, no. 3 (2018): 24–28. https://doi.org/10.5281/zenodo.2293551.

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<em>India is the agriculture based country. Now a day, agricultural product yield is decrease for the reason of disease affect the plants like fungus, virus diseases. In this paper, we detect the tree leaves and fruits disease using image processing techniques. In this paper apple, grapes and pomegranate disease are detected. The apple diseases are apple scab, apple rot, Marssonina leaf blotch, black rot canker, apple mosaic. The grape diseases are black rot, powdery mildew, downy mildew, anthracnose, bacterial leaf spot, and rust. The pomegranate diseases are bacterial blight, aspergillus fru
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Arivazhagan, Dr. "BLACK ROT DISEASE DETECTION IN GRAPE PLANT (VITIS VINIFERA) USING COLOUR BASED SEGMENTATION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–10. http://dx.doi.org/10.55041/ijsrem27542.

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The cultitechniques for the early and accurate detection of Black Rot disease. Our methodology involves the acquisition of high- resolution images of grape leaves and clusters. These images are then subjected to a color-based segmentation process to isolate regions of interest that exhibit symptoms of Black Rot. The results demonstrate the efficacy of the proposed approach. The integration of Color-Based Segmentation and Machine Learning enables accurate and automated identification of Black Rot disease in grape plants. This system holds promise for early disease intervention, enabling growers
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Hazelrigg, Ann L., Terence L. Bradshaw, and Gabriella S. Maia. "Disease Susceptibility of Interspecific Cold-Hardy Grape Cultivars in Northeastern U.S.A." Horticulturae 7, no. 8 (2021): 216. http://dx.doi.org/10.3390/horticulturae7080216.

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Susceptibility to diseases of economically important grapes is critical to the evaluation of germplasm recommended for commercial production and for the development of sustainable production systems. In 2018–2019, the cold-hardy grape cultivars including ‘Brianna’, ‘Crimson Pearl’, ‘Itasca’, ‘Louise Swenson’, ‘Marechal Foch’, ‘Marquette’ ‘Petite Pearl’, ‘St. Pepin’, and ‘Verona’ were evaluated on non-treated vines for susceptibility to downy mildew, powdery mildew, black rot, anthracnose, Phomopsis leaf spot and fruit rot, and Botrytis bunch rot. No cultivars were consistently disease-free, an
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Bande, La Ode Santiaji, Bambang Hadisutrisno, Susamto Somowiyarjo, and Bambang Hendro Sunarminto. "EPIDEMI PENYAKIT BUSUK PANGKAL BATANG LADA PADA KONDISI LINGKUNGAN YANG BERVARIASI." JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA 15, no. 1 (2015): 95. http://dx.doi.org/10.23960/j.hptt.11595-103.

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Foot rot disease epidemic on black pepper in variety of environmental conditions. The foot rot disease on black pepper caused by Phytophthora capsici Leonian, is often destructive to farmers of black pepper. This research aims to study the infection rate and the pattern of development of the black pepper foot rot disease in various condition of the environment. The research was conducted in the areas of black pepper cultivation in the Ultisol and Entisol soils. In each location plots were set with few (&lt;25%) and abundant (&gt;75%) weeds. Variable observed was disease incidence. The data wer
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Pratama, Sakti Widyanta. "Application of lime and urea and its effect on development of Phythophthora palmivora." Pelita Perkebunan (a Coffee and Cocoa Research Journal) 31, no. 1 (2015): 41–48. http://dx.doi.org/10.22302/iccri.jur.pelitaperkebunan.v31i1.70.

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Black pod rot disease (BPRD) which is caused by Phytophthora palmivora is one of the main diseases of cocoa cultivations particularly in plantations with wet climate. Black pod rot can develop rapidly under high humidity environments, particularly during rainy seasons. This disease can cause loss of harvest of up to 46.63% in East Java. The various control efforts attempted so far have not resulted in significant improvements. Urea, in addition to functioning as fertilizer, can also produce the ammonia gas which is believed to be able to suppress black pod rot. This research aims to determine
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Hsiao, Chia-Yu, Sabrina Diana Blanco, An-Li Peng, et al. "Seed Treatment with Calcium Carbonate Containing Bacillus amyloliquefaciens PMB05 Powder Is an Efficient Way to Control Black Rot Disease of Cabbage." Agriculture 13, no. 5 (2023): 926. http://dx.doi.org/10.3390/agriculture13050926.

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Black rot disease is a serious bacterial disease that harms vegetable crops of the Brassica genus (especially cabbage plants) worldwide. The causal agent, Xanthomonas campestris pv. campestris (Xcc), is a seed-borne pathogen that primarily infects seedlings. Previous studies suggest that the bacterial strain, Bacillus amyloliquefaciens PMB05, can intensify the plant immune responses of cabbage against black rot disease and reduce disease occurrence. In plant immunity, several reactions occur during a pathogen attack, but the elevation of calcium ion concentration in plant cells is essential in
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Balakissa, FOFANA, Dao Jonas Patrick, OUATTARA Bognan Winnie Miyasi, ZOUZOU Michel, and KONE Daouda. "Influence of Climatic Parameters on the Incidence of Black Pod Rot of Cocoa Trees in Côte d’Ivoire." Journal of Experimental Agriculture International 47, no. 1 (2025): 161–70. https://doi.org/10.9734/jeai/2025/v47i13214.

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Cocoa farming is very important to Côte d'Ivoire’s economy, however the increasing pressure of black pod rot is significantly reducing causing production, which is unfavorable to sustainable cocoa production. This disease is caused by Phytophthora palmivora, which is prevalent in all cocoa-producing areas. The objective is to determine the effect of climatic parameters on the incidence of the disease in the study localities. To achieve this, three plots were selected in each locality, based on the presence of black pod rot and the accessibility of the field. A 900 m2 was delimited in each plot
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Rajitha, A., M. Swathi, K. Ananya, R. Amruthavarshini, and D. Akhila. "Plant Disease Detection Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 1320–23. https://doi.org/10.22214/ijraset.2025.66199.

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Abstract: The system today operates using images, with its pre-processing that makes use of models like Inception-V3 CNN; such models are computational resource- demanding, requiring humongous sizes, and enormous data storage capacity. It is hence both time and cost-expensive. The proposed system uses the AlexNet CNN model in MATLAB R2021A with an accuracy of almost 99.6% to classify plant diseases, thus making it efficient, cost- effective, and faster due to the modules used such as acquisition of images, preprocessing, disease classification, and performance evaluation in the identification
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Kumari, Neelam, and Ashok Thakur. "Black Root Rot of Strawberry: A Disease Complex." International Journal of Economic Plants 9, no. 2 (2022): 158–63. http://dx.doi.org/10.23910/2/2022.0455a.

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Historically, root diseases have been a production-limiting problem for the strawberry industry worldwide. Even though this disease is of great economic importance, the etiology remains unresolved. However, soilborne fungal root pathogens, particularly Pythium and Rhizoctonia spp. have been implicated as major role players. Presence of nematodes in soil and favourable environmental conditions also play significant role in the disease development. Development of integrated disease management strategies is dependent upon a more complete understanding of the etiology, biology and ecology of the d
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Dissertations / Theses on the topic "Black rot disease"

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Mauk, P. A., and R. B. Hine. "A Predictive System for Disease Incidence of Black Root Rot of Cotton." College of Agriculture, University of Arizona (Tucson, AZ), 1987. http://hdl.handle.net/10150/204490.

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A quantitative technique has been developed to assay cotton soils for populations of Thielaviopsis basicola, a soil occurring fungus that causes the seedling disease of cotton known as Black Root Rot. The procedure utilizes a soil dilution technique with a carrot extract agar containing etridiazol, Mystatin, streptomycin sulfate, chlortetracycline, calcium carbonate and PCNB. Populations of the fungus have been monitored from April to December, 1986 in a heavily infested Pima S-6 field in cooperation with Bob Cockrill, a Coolidge grower. When field soils containing approximately 600 propagules
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Rana, Sanjay. "Studies on the resistance of camellia sinensis(L) O Kuntze to corticium theae Bernard causing black rot disease." Thesis, University of North Bengal, 2002. http://hdl.handle.net/123456789/1072.

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Tyler, Ray, Edith DeRosa, Lee J. Clark, and Mary Olsen. "Seed Treatment to Prevent Black Root Rot." College of Agriculture, University of Arizona (Tucson, AZ), 1986. http://hdl.handle.net/10150/219773.

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The 1985 and 1986 Cotton Reports have the same publication and P-Series numbers.<br>NU-Zone (imazalil) + Nu-Flow ND (TCMTB + Chloroneb), NU-Flow ND, and Vitavax (carboxin) were evaluated as seed treatments with and without in-furrow PCNB. The following was learned: - Vitavax-treated seed got out of the ground faster than the other treatments, which brings out the possibility that NU-Flow or NU-Zone slows germination. - Stands and root development were slightly better when NUZone was present. - NU-Zone + NU-Flow ND seed treatment is not totally effective in controlling black root rot in heavily
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Hine, R. B., P. A. Mauk, and Tesfaye Tedla. "The Effect of Soil Temperature and Inoculum Levels of Thielaviopsis basicola on Black Root Rot of Cotton." College of Agriculture, University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/204546.

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Two planting dates, March 28, and April 28 were used to study the effect of soil temperature during planting on black root rot of cotton. Also, several cotton varieties were evaluated for response to the disease under varying soil temperatures and inoculum levels.
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ONESTI, GIOVANNI. "Studi sulle dinamiche dell'inoculo di Guignardia bidwellii, agente causale del marciume nero della vite." Doctoral thesis, Università Cattolica del Sacro Cuore, 2016. http://hdl.handle.net/10280/10799.

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L’ascomicete Guignardia bidwellii, agente causale del marciume nero della vite, è un patogeno economicamente importante in alcuni areali viticoli. La conoscenza, disponibile sul marciume nero dell’uva, è stata recuperata dalla letteratura, analizzata e sintetizzata per sviluppare un modello meccanicistico del ciclo di vita del patogeno, guidata dalle variabili meteorologiche e dalla fenologia della vite, e basata sull'analisi dei sistemi. Il modello è stato poi valutato per la sua capacità di rappresentare il sistema reale e la sua utilità per la comprensione di epidemie di marciume nero su fo
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ONESTI, GIOVANNI. "Studi sulle dinamiche dell'inoculo di Guignardia bidwellii, agente causale del marciume nero della vite." Doctoral thesis, Università Cattolica del Sacro Cuore, 2016. http://hdl.handle.net/10280/10799.

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L’ascomicete Guignardia bidwellii, agente causale del marciume nero della vite, è un patogeno economicamente importante in alcuni areali viticoli. La conoscenza, disponibile sul marciume nero dell’uva, è stata recuperata dalla letteratura, analizzata e sintetizzata per sviluppare un modello meccanicistico del ciclo di vita del patogeno, guidata dalle variabili meteorologiche e dalla fenologia della vite, e basata sull'analisi dei sistemi. Il modello è stato poi valutato per la sua capacità di rappresentare il sistema reale e la sua utilità per la comprensione di epidemie di marciume nero su fo
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Botha, Adri. "A study on the etiology and epidemiology of black root rot of strawberries in the Western Cape." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52712.

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Thesis (MScAgric)--University of Stellenbosch, 2002.<br>ENGLISH ABSTRACT: Historically root diseases have been a production-limiting problem for the strawberry industry worldwide. In the Western Cape Province of South Africa the most serious root disease is black root rot, which causes losses of up to 30%, annually. The aims of this study were to investigate aspects of the etiology and epidemiology of this disease in the Western Cape, and to provide information that can be incorporated in an integrated disease management strategy. In Chapter I a summary of published information on this
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Chapman, M. A., and R. B. Hine. "The Effect on Yield of Cotton Due to Incidence and Severity of Black Root Rot Caused by Thielaviopsis Basicola." College of Agriculture, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/208267.

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Incidence of Black Root Rot of cotton and soil inoculum potential of the causal agent Thielaviopsis basicola were monitored throughout the season in two adjacent fields planted in mid April, 1987 in Duncan, Arizona. Mean inoculum potential in Field 1 soil was 65 cfu/g and 20 % of the seedlings were infected. In Field 2 the inoculum potential and percentage of infected plants were 225 cfu/g and 93, respectively. No cortical decay was noted after June 6 in either field. Yields were similar in both fields.
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Specht, Lawrence P. "Inoculum densities of Thielaviopsis basicola in tobacco fields in Virginia, and the relationship of inoculum density to the severity of black root rot and growth of tobacco." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/49854.

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A new selective medium (TB-CEN) was developed for isolating Thielaviopsis basicola, cause of black root rot of tobacco, from soil. TB-CEN medium contains etridiazol and nystatin to inhibit the growth of undesired fungi, and unautoclaved extract from carrot to selectively enhance for the growth of T. basicola. Inoculum and/or population densities of T. basicola in five burley tobacco fields were 74-166 propagules per g of soil, and 0-12 propagules per g of soil in three other burley fields. Inoculum and/or population densities of T. basicola in 12 flue-cured and 2 sun-cured tobacco fields were
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Chapman, M. A., and R. B. Hine. "Suppresion of Inflection of Cotton Seedlings by Rhizoetonia Solani in the Presence of Thielaviopsis Basicola, the Causal Agent of Black Root Rot." College of Agriculture, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/208309.

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High population levels of Rhizoctonia solani in a field in Coolidge, AZ which also contained Thielaviopsis basicola failed to cause the expected infection by R. solani in untreated seeds of Gossypium hirsutum. Growth chamber experiments with autoclaved soil amended with inoculum of both R. solani, and T. basicola had a significantly lower infection rate by R. solani than did the control soil with R. solani alone.
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Books on the topic "Black rot disease"

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Hunt, R. S. Black stain root disease. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 1995.

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Lundquist, J. E. Distribution and causes of canopy gaps in white spruce in the Black Hills. USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, 1993.

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Hessburg, Paul F. Black stain root disease of conifers. U.S. Dept. of Agriculture, Forest Service, 1995.

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Hessburg, Paul F. Black stain root disease of conifers. U.S. Dept. of Agriculture, Forest Service, 1995.

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Alvarez, A. M. Black rot of cabbage in Hawaii. HITAHR, College of Tropical Agriculture and Human Resources, University of Hawaii, 1987.

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Peck, Eva Jane, and Michelle Gemma. The Root of Twinkle. Eva Peck and Michelle Gemma, 2020.

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Antonelli, Arthur L. Root weevil control on rhododendrons. Cooperative Extension, Washington State University, 2001.

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DeAngelis, Jack D. Root weevils in the nursery and landscape: Identification and control. Oregon State University Extension Service, 1997.

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Lessard, Gene. Association of Armillaria root disease with mountain pine beetle infestations on the Black Hills National Forest, South Dakota. U.S. Dept. of Agriculture, Forest Service, Forest Pest Management, Methods Application Group, 1985.

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Sharon, E. M. Evaluation of control measures for black stain root disease in pinyon pine in southwestern Colorado. 1987.

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Book chapters on the topic "Black rot disease"

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Chang, Albert Ling Sheng, Suhaida Salleh, Ahmad Kamil Mohd Jaaffar, and Haya Ramba. "Modelling the Disease Severity of Cocoa Black Pod Rot Disease." In Proceedings of the 6th International Conference on Fundamental and Applied Sciences. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4513-6_48.

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Ahmad, Khairulmazmi, and Tijjani Ahmadu. "Prospect and Potential of Burkholderia sp. Against Phytophthora capsici Leonian: A Causative Agent for Foot Rot Disease of Black Pepper." In Agriculturally Important Microbes for Sustainable Agriculture. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5343-6_12.

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Alvarez, Anne M. "Black Rot of Crucifers." In Mechanisms of Resistance to Plant Diseases. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-3937-3_2.

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Bailey, Bryan A., Shahin S. Ali, Andrews Y. Akrofi, and Lyndel W. Meinhardt. "Phytophthora megakarya, a Causal Agent of Black Pod Rot in Africa." In Cacao Diseases. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24789-2_8.

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Viret, Olivier, and Katia Gindro. "Grapevine." In Science of Fungi in Grapevine. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-68663-4_2.

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AbstractOne of the Tmost important cultivated crops worldwide, grapevine boasts a high biodiversity which has been largely underestimated and underused. Around 30 cultivars are planted for wine and table-grape production. Most of these belong to the species Vitis vinifera, which is susceptible to the major fungal diseases: downy and powdery mildew, grey mould and black rot. Depending on their co-evolution with these fungal pathogens in America, Asia or Europe, the different species of Vitis contain different levels of resistance and susceptibility related to their particular genomes. Since the
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Daivasikamani, S., and A. P. Ranjini. "Diseases affecting coffee: an overview." In Climate-smart production of coffee: Improving social and environmental sustainability. Burleigh Dodds Science Publishing, 2022. http://dx.doi.org/10.19103/as.2021.0096.22.

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Among the various diseases of coffee, leaf rust, black rot, anthracnose, root diseases and nursery diseases are of particular importance, causing considerable damage every year in most coffee regions. Control measures are based on integrated disease management (IDM) techniques which include growing resistant/tolerant varieties, cultural and biological control measures and where appropriate, judicious and timely application of chemical control.
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Pocasangre, Luis Ernesto, and Alfonso Martinuz. "Minor fungal diseases of banana." In Achieving sustainable cultivation of bananas Volume 3: Diseases and pests. Burleigh Dodds Science Publishing, 2024. http://dx.doi.org/10.19103/as.2022.0108.07.

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This chapter gives an overview of a number of minor diseases which affects bananas in different parts of the world. It gives an overview of the occurence, causal agent, key disease symptoms, host susceptibility and control of the the following diseases: Cordana leaf spot, Deightoniella leaf spot, Speckle, Anthracnose, Cigar-end rot, Banana blast disease, Freckle disease and Black cross.
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Raju, Harsha, Veena Kalludi Narasimhaiah, and Mukil Alagirisamy. "Apple Leaf Disease Identification and Segmentation Using Enhanced Learning-Driven Feature Representation Model." In AI and Blockchain Applications in Industrial Robotics. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0659-8.ch013.

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The field of automatic segmentation and identification of plant diseases from leaf images has become increasingly significant in recent years. There are a number of fungal diseases that affect apple quality and yield, including apple scab, cedar rust, and black rot. In order to prevent crop losses, it is essential to identify these diseases quickly as possible. Despite many approaches being discussed, segmenting the diseased part of leaves with high accuracy and low false positive rates remains a challenging task. This study suggests that by isolating the color background and highlighting the
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Xue, Huali, and Zhimin Yang. "Potato Dry Rot Caused by Fusarium spp. and Mycotoxins Accumulation and Management." In Fusarium - An Overview of the Genus. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.100651.

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Dry rot of potato (Solanum tuberosum L.) is an important postharvest disease during storage. The decay can be caused by several different species of Fusarium spp., such as, F. sambucinum, F. coeruleum, F. oxysporum, F. avenaceum, F. culmorum. The pathogen of Fusarum spp. causing dry rot of potato is considerable different in different countries and regions. The typical symptom of potato dry rot is sunken and wrinkled brown to black tissue patch on tuber with less dry matter and shriveled flesh. Fusarium spp. only invades host through wound or natural orifice during pre-harvest, storage and tra
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Soytong, Kasem, Somdej Kahonokmedhakul, Jiaojiao Song, and Rujira Tongon. "Chaetomium Application in Agriculture." In Technology in Agriculture [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99402.

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Chaetomium species for plant disease control are reported to be antagonize many plant pathogens. It is a new broad spectrum biological fungicide from Chaetomium species which firstly discovered and patented No. 6266, International Code: AO 1 N 25/12, and registered as Ketomium® mycofungicide for plant disease control in Thailand, Laos, Vietnam, Cambodia and China. Chaetoimum biofungicide and biostimulants are applied to implement integrated plant disease control. It showed protective and curative effects in controlling plant disease and promoting plant growth. It has been successfully applied
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Conference papers on the topic "Black rot disease"

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Farooq, Sheikh Afaan, Ravi Bhushan Sharma, Paramjot Kaur Sarao, and Suryakanta. "The Deep Learning Based Analysis and Prediction of Apple Black Rot Disease in Apple Plants using ResNet-50 Hybrid Algorithm." In 2025 International Conference on Ambient Intelligence in Health Care (ICAIHC). IEEE, 2025. https://doi.org/10.1109/icaihc64101.2025.10957094.

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Puig, Alina S., Brian Irish, Tomás Ayala-Silva, Sarah Wurzel, and Osman Gutierrez. "Effect of Cacao Black Pod Rot Screening Method on Disease Reaction Determination." In IOCAG 2022. MDPI, 2022. http://dx.doi.org/10.3390/iocag2022-12215.

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Dihya Bourzig, Dounia Kawther, Mansour Abed, and Mostefa Merah. "Black rot disease classification of apples and grapes using convolutional neural network and transfer learning." In 2024 8th International Conference on Image and Signal Processing and their Applications (ISPA). IEEE, 2024. http://dx.doi.org/10.1109/ispa59904.2024.10536790.

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Kirti and Navin Rajpal. "Black Rot Disease Detection in Grape Plant (Vitis vinifera) Using Colour Based Segmentation & Machine Learning." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362812.

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Gaur, Poonam, Rohit Sharma, Ravi Kumar, Amit Gupta, Rishabh Sharma, and Vinay Kukreja. "Fighting Grape Black Rot with Deep Learning: A CNN-LSTM Hybrid Model for Disease Severity Classification." In 2023 4th International Conference for Emerging Technology (INCET). IEEE, 2023. http://dx.doi.org/10.1109/incet57972.2023.10170159.

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Sharma, Rishabh, Vinay Kukreja, Prince Sood, and Abhishek Bhattacharjee. "Classifying the Severity of Apple Black Rot Disease with Deep Learning: A Dual CNN and LSTM Approach." In 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS). IEEE, 2023. http://dx.doi.org/10.1109/access57397.2023.10199549.

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Gupta, Aryan, Aditya Sinha, and Shaleen Poddar. "Lesion Isolation from Apple Plant Leaves Affected by Black Rot Disease using Optimized Masking on Various Color Channels." In 2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). IEEE, 2022. http://dx.doi.org/10.1109/icict55121.2022.10064523.

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Khaeruni, Andi, Andi Hiqmawati, Vit Neru Satrah, Gusti Ayu Kade Sutariati, Teguh Wijayanto, and Nini Mila Rahni. "Effectiveness and synergistic of endophytic bacteria in inhibiting the development of cocoa black pod rot disease (Phytophthora palmivora bult.)." In PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE OF ANIMAL SCIENCE AND TECHNOLOGY (ICAST 2021). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0145270.

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Konrat, A. N. "NEMATICIDAL AND NEMATOSTATIC EFFICACY OF VEGETABLE JUICES OF SOME REPRESENTATIVES OF THE FAMILY SOLANACEAE." In THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL. All-Russian Scientific Research Institute for Fundamental and Applied Parasitology of Animals and Plant – a branch of the Federal State Budget Scientific Institution “Federal Scientific Centre VIEV”, 2023. http://dx.doi.org/10.31016/978-5-6048555-6-0.2023.24.220-224.

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The effect of the tested substances on in vitro nematicidity and nematostaticity was&#x0D; verified on saprobiotic (Caenorhabditis elegans, Turbatrix aceti) and phytoparasitic&#x0D; nematodes (Ditylenchus destructor). Working solutions were prepared in the&#x0D; following dilutions: 1) 1/1000, 2) 1/100, 3) 1/10, 4) 1/1, 5) undiluted, 6) control,&#x0D; water, and 7) standard (horseradish root juice). The solution of above concentrations&#x0D; was introduced into the plate wells of 0.5 mL in 4 repetitions, then a well-mixed&#x0D; nematode suspension of 0.5 mL was added with 50±10 nematodes in av
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Pirković, Andrea, Dragana Dekanski, Miloš Hadži-Mihailović, Dragan Stanimirović, Marko Prokić, and Zanka Bojic-Trbojevic. "STANDARDIZED BLACK CHOKEBERRY (Aronia melanocarpa L.) EXTRACT SUPPLEMENTATION REDUCES THE SALIVARY ROS LEVELS IN ORAL LICHEN PLANUS PATIENTS." In 8th Workshop Food and Drug Safety and Qualit. Vinča Institute of Nuclear Sciences - National Institute of the Republic of Serbia, 2024. http://dx.doi.org/10.46793/8fdsq.pd8ap.

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The oxidative stress has a role in etiopathogenesis of oral lichen planus (OLP). Polyphenols renowned for their antioxidative, anti-inflammatory and immunomodulatory properties, have gained attention in autoimmune diseases management. Saliva, reflecting salivary gland health, offers promise for biomarker research and treatment monitoring. The aim of this study was to evaluate salivary levels of reactive oxygen species (ROS) in OLP patients using polyphenol rich, standardized Aronia melanocarpa extract (SAE). The ROS values were compared in pre- and post-treatment and significant differences we
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Reports on the topic "Black rot disease"

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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se
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