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Littérature scientifique sur le sujet « Citrus Diseases and pests »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 29 janvier 2023

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Articles de revues sur le sujet "Citrus Diseases and pests"

Lin, Yuke, Jin Xu, and Ying Zhang. "Identification Method of Citrus Aurantium Diseases and Pests Based on Deep Convolutional Neural Network." Computational Intelligence and Neuroscience 2022 (May 27, 2022): 1–8. http://dx.doi.org/10.1155/2022/7012399.

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The traditional identification methods of Citrus aurantium diseases and pests are prone to convergence during the running process, resulting in low accuracy of identification. To this end, this study reviews the newest methods for the identification of Citrus aurantium diseases and pests based on a deep convolutional neural network (DCNN). The initial images of Citrus aurantium leaves are collected by hardware equipment and then preprocessed using the techniques of cropping, enhancement, and morphological transformation. By using the neural network to divide the disease spots of Citrus auranti

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Lee, Saebom, Gyuho Choi, Hyun-Cheol Park, and Chang Choi. "Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning." Sensors 22, no. 22 (November 18, 2022): 8911. http://dx.doi.org/10.3390/s22228911.

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Plant diseases are a major cause of reduction in agricultural output, which leads to severe economic losses and unstable food supply. The citrus plant is an economically important fruit crop grown and produced worldwide. However, citrus plants are easily affected by various factors, such as climate change, pests, and diseases, resulting in reduced yield and quality. Advances in computer vision in recent years have been widely used for plant disease detection and classification, providing opportunities for early disease detection, and resulting in improvements in agriculture. Particularly, the

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Arif, Alfis. "A SISTEM PAKAR HAMA DAN PENYAKIT TANAMAN JERUK GERGA PAGAR ALAM MENGGUNAKAN METODE EUCLIDEAN DISTANCE BERBASIS WEBSITE." Jurnal Teknologi Informasi Mura 11, no. 02 (December 16, 2019): 68–75. http://dx.doi.org/10.32767/jti.v11i02.610.

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Penyediaan sistem informasi tentang penyakit Tanaman Jeruk di Kota Pagaralam masih bersifat manual sehingga tak berfungsi secara maksimal saat penyebaran informasi baik ke petani, penyuluh, & pengguna lainnya. Gangguan penyakit merupakan masalah penting yang dihadapi petani dalam usaha tani buah jeruk, selain menurunkan hasil produksi serangan penyakit juga menurunkan kualitas hasil. Oleh karena itu untuk mengetahui penyakit apa yang menyerang tanaman Jeruk maka dibutuhkan suatu sistem informasi identifikasi penyakit pada tanaman buah Jeruk berbasis website. Dengan aplikasi ini diharapkan

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Michael, Githae, George O. Ong’amo, John Nderitu, Gillian W. Watson, and Wanja Kinuthia. "Diversity of scale insects (Hemiptera: Coccomorpha) attacking citrus trees in Machakos, Makueni, Kilifi and Kwale Counties, Kenya." Journal of Agricultural Science and Practice 6, no. 3 (June 30, 2021): 79–85. http://dx.doi.org/10.31248/jasp2021.275.

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Citrus farming is a major source of revenue for large and small-scale farmers in Kenya. Citrus production is confronted with threats from pests and diseases. Surveys of citrus farms in Kilifi, Kwale, Machakos and Makueni counties, Kenya in July/August (dry season) and in November/December (wet season), 2019 were conducted to identify scale insect pests (Hemiptera: Coccomorpha) attacking the trees (Sapindales: Rutaceae), and their related biota. A total of 22 scale insect species belonging to four families, namely Diaspididae (armoured scales), Coccidae (soft scales), Pseudococcidae (mealybugs)

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Xing, Shuli, Marely Lee, and Keun-kwang Lee. "Citrus Pests and Diseases Recognition Model Using Weakly Dense Connected Convolution Network." Sensors 19, no. 14 (July 19, 2019): 3195. http://dx.doi.org/10.3390/s19143195.

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Pests and diseases can cause severe damage to citrus fruits. Farmers used to rely on experienced experts to recognize them, which is a time consuming and costly process. With the popularity of image sensors and the development of computer vision technology, using convolutional neural network (CNN) models to identify pests and diseases has become a recent trend in the field of agriculture. However, many researchers refer to pre-trained models of ImageNet to execute different recognition tasks without considering their own dataset scale, resulting in a waste of computational resources. In this p

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Xing, Shuli, and Malrey Lee. "Classification Accuracy Improvement for Small-Size Citrus Pests and Diseases Using Bridge Connections in Deep Neural Networks." Sensors 20, no. 17 (September 3, 2020): 4992. http://dx.doi.org/10.3390/s20174992.

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Due to the rich vitamin content in citrus fruit, citrus is an important crop around the world. However, the yield of these citrus crops is often reduced due to the damage of various pests and diseases. In order to mitigate these problems, several convolutional neural networks were applied to detect them. It is of note that the performance of these selected models degraded as the size of the target object in the image decreased. To adapt to scale changes, a new feature reuse method named bridge connection was developed. With the help of bridge connections, the accuracy of baseline networks was

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Purba, Endang Christine, and Bambang S. Purwoko. "TEKNIK PEMBIBITAN, PEMUPUKAN, DAN PENGENDALIAN HAMA PENYAKIT TANAMAN KOMODITI JERUK SIAM (Citrus nobilis var. microcarpa) DI KECAMATAN SIMPANG EMPAT DAN KECAMATAN PAYUNG, KABUPATEN KARO, SUMATRA UTARA, INDONESIA." Pro-Life 6, no. 1 (March 5, 2019): 66. http://dx.doi.org/10.33541/pro-life.v6i1.940.

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Citrus is one of the horticultural commodities that has been a focus of development in 2018. Citrus is the fourth largest commodity in the percentage of Indonesia fruit production in 2014. In 2014, citrus fruit production in Indonesia was 1,785,256 tons or around 9.01% of national fruit production. Karo Regency is a citrus production center in North Sumatra, Indonesia. According to the Direktorat Jendral Hortikultura (2015) the production of citrus commodities was 173.921 tons (53,30%). In 2014, there were 3,150,060 productive citrus trees with a harvested area of 7,875 ha and a production o

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Resiani, Ni Made Delly, Ni Putu Sutami, and A. A. N. B. Kamandalu. "Innovations in healthy citrus garden management to reduce major pests and diseases and increase incomes of citrus farmers." E3S Web of Conferences 361 (2022): 02007. http://dx.doi.org/10.1051/e3sconf/202236102007.

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Healthy citrus garden management is an effort to optimize citrus yields. The research aims to suppress major pests and diseases and increase yields and incomes of citrus farmers. The research was conducted in Kintamani, Bali in January 2017-December 2020. The study was conducted in pairs in the form of 1 block of garden technology innovation treatment of healthy citrus gardens and 1 block of farmers' existing gardens. Plant samples per block were determined by purposive sampling. The results showed that the treatment had a significant effect on the abundance of fruit fly populations, diplodia

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Gairhe, Biwek, Ramdas Kanissery, and Brent Sellers. "Citrus Nursery Production Guide, Chapter 8: Stock Plant and Tree Production: c) Weed Management in Citrus Nurseries." EDIS 2019, no. 5 (October 24, 2019): 7. http://dx.doi.org/10.32473/edis-hs1344-2019.

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All citrus nursery stock in Florida is raised in enclosed greenhouses. It is not uncommon for weeds to grow in containers, where they compete with citrus seedlings, and on greenhouse floors, where they can harbor pests and diseases. This new 7-page publication of the UF/IFAS Horticultural Sciences Department provides descriptions of a few commonly found weeds in citrus nurseries and good weed management practices. Written by Biwek Gairhe, Ramdas Kanissery, and Brent Sellers, this article is chapter 8c of the forthcoming Citrus Nursery Production Guide. https://edis.ifas.ufl.edu/hs1344

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Thomas, Michael B., Jonathan H. Crane, James J. Ferguson, Howard W. Beck, and Joseph W. Noling. "Two Computer-based Diagnostic Systems for Diseases, Insect Pests, and Physiological Disorders of Citrus and Selected Tropical Fruit Crops." HortTechnology 7, no. 3 (July 1997): 293–98. http://dx.doi.org/10.21273/horttech.7.3.293.

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The TFRUIT·Xpert and CIT·Xpert computerbased diagnostic programs can quickly assist commercial producers, extension agents, and homeowners in the diagnosis of diseases, insect pest problems and physiological disorders. The CIT·Xpert system focuses on citrus (Citrus spp.), whereas the TFRUIT·Xpert system focuses on avocado (Persea americana Mill.), carambola (Averrhoa carambola L.), lychee (Litchi chinensis Sonn.), mango (Mangifera indica L.), papaya (Carica papaya L.), and `Tahiti' lime (Citrus latifolia Tan.). The systems were developed in cooperation with research and extension specialists w

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Thèses sur le sujet "Citrus Diseases and pests"

Wright, Glenn C., and John Begeman. "Diagnosing Home Citrus Problems." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2009. http://hdl.handle.net/10150/144796.

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6 pp. Low Desert Citrus Varieties; Irrigating Citrus Trees Diagnosing Home Citrus Problems includes information on all the commonly encountered dooryard citrus problems encountered in Arizona. Problems/disorders are grouped into three catagories: problems with fruit, problems with leaves, and problems with stems, branches and entire tree. Symptoms, causes and control measures are given for each disorder.

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Phiri, Zanele Penelope. "Creasing studies in citrus." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4219.

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Thesis (MScAgric (Horticulture))--University of Stellenbosch, 2010. ENGLISH ABSTRACT: Creasing, also known as albedo breakdown, is a preharvest disorder that affects the albedo of citrus fruit causing creases on the surface of the fruit. It is a recurrent problem in Navel and Valencia oranges and can cause individual orchard losses which often exceed 50%. Although the contributing factors are known, the physiological basis of creasing development is unresolved and the current control measures do not prevent creasing satisfactory. Hence, better control measures and further understanding

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Van, der Walt Rachel. "Identifying volatile emissions associated with False Codling Moth infested citrus fruit." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1020056.

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False codling moth is a known pest of economic importance to many cultivated crops in South Africa and Africa south of the Sahara, and is particularly severe on citrus. If the fruit is infested just before harvest the chances of detecting signs of infestation are very low. As a result, the risk of packaging infested fruit and exporting them as healthy fruit is high. It is therefore a priority to develop a post-harvest technique for detection of False codling moth in citrus fruit at different levels of infestation in order to reduce phytosanitary risk. Compounds released and detected were indic

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Knight, Toby George. "Investigation of the physiological basis of the rind disorder oleocellosis in Washington navel orange (Citrus sinensis [L.] Osbeck)." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09AHP/09ahpk71.pdf.

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Includes bibliographical references (leaves 152-164) Microscopy investigations into the oil glands, localisation of the rind oils and the development of oleocellosis have been carried out in Washington navel orange (Citrus sinensis [L.] Osbeck). Aims to develop an improved understanding of the physiological basis of the rind disorder.

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Wakgari, Waktola (Waktola Muleta). "Biology, ecology and management of white wax scale, Ceroplastes destructor Newstead (Hemiptera: Coccidae), on citrus and syzygium." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51637.

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Thesis (PhD)--University of Stellenbosch, 2000. ENGLISH ABSTRACT: The population density of the white wax scale, Ceroplastes destructor Newstead, has increased since 1994 in certain areas of Western and parts of Eastern Cape Provinces of South Africa where citrus is grown, particularly on Citrus reticulata (Blanco). A study was conducted to investigate its morphology, biology and ecology as contributions to the development of a sound integrated management programme. Characteristics of the immature stages and adult females were described and illustrated from field-collected and slide-

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Ceballo, Flor Angel Aquino. "An investigation into why coccidoxenoides peregrinus (timberlake) (hymenoptera:encyrtidae) is an effective biological control agent in Queensland citrus /." St. Lucia, Qld, 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16498.pdf.

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FitzGerald, Véronique Chartier. "Screening of entomopathogenic fungi against citrus mealybug (Planococcus citri (Risso)) and citrus thrips (Scirtothrips aurantii (Faure))." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1020887.

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Mealybugs (Planococcus citri) and thrips (Scirtothrips aurantii) are common and extremely damaging citrus crop pests which have proven difficult to control via conventional methods, such as chemical pesticides and insect growth regulators. The objective of this study was to determine the efficacy of entomopathogenic fungi against these pests in laboratory bioassays. Isolates of Metarhizium anisopliae and Beauveria bassiana from citrus orchards in the Eastern Cape, South Africa were maintained on Sabouraud Dextrose 4% Agar supplemented with Dodine, chloramphenicol and rifampicin at 25°C. Infect

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Wright, Jacqueline Gilda. "The role of endophytes in citrus stem end rots." Thesis, Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19736654.

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Mathewson, Johanna. "Die insekplaagkompleks op sitrus te Vaalharts." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51706.

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Thesis (MSc)--Stellenbosch University, 2000. Full text to be digitised and attached to bibliographic record. ENGLISH ABSTRACT: The cultivation of citrus in the Vaalharts region is a fairly recent development. With the introduction of this crop, an insect pest complex has also developed in this region. The presence of these pests was studied in eleven orchards, planted with three citrus cultivars and of varying ages, distributed in the 300 square kilometer cultivation area. Each orchard was inspected for the presence of pests by making use of two weekly sampling techniques. Ten of

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Opoku-Debrah, John Kwadwo. "Geographic variation in the susceptibility of false colding Moth, Thaumatotibia Leucotreta, populations to a granulovirus (CrleGV-SA)." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/984.

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The false codling moth (FCM), Thaumatotibia (=Cryptophlebia) leucotreta (Meyrick) (Lepidoptera: Tortricidae) is a serious pest of citrus and other crops in Sub-Saharan Africa. The introduction of the Cryptophlebia leucotreta granulovirus (CrleGV-SA) Cryptogran and Cryptex (biopesticides) has proven to be very effective in the control of FCM. However, markedly lower susceptibility of some codling moth (CM), Cydia pomonella (L.) populations to Cydia pomonella granulovirus (CpGV-M), another granulovirus product used in the control of CM’s in Europe have been reported. Genetic differences between

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Livres sur le sujet "Citrus Diseases and pests"

Whitmore, Susan. Citrus canker disease. Beltsville, Md: U.S. Dept. of Agriculture, National Agricultural Library, 1985.

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Whitmore, Susan. Citrus canker disease. Beltsville, Md: U.S. Dept. of Agriculture, National Agricultural Library, 1985.

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Whitmore, Susan. Citrus canker disease. Beltsville, Md: U.S. Dept. of Agriculture, National Agricultural Library, 1985.

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University of California (System). Division of Agriculture and Natural Resources, ed. Citrus production manual. Oakland, California: University of California, Agriculture and Natural Resources, 2014.

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Karasev, Alexander V., and Mark E. Hilf. Citrus tristeza virus complex and tristeza diseases. St. Paul, Minn: American Phytopathological Society, 2010.

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Vacante, Vincenzo. Citrus mites: Identification, bionomy and control. Cambridge, MA: CABI North American Office, 2010.

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United States. Animal and Plant Health Inspection Service. Help us find citrus greening disease. 2nd ed. [Riverdale, Md.?]: U.S. Dept. of Agriculture, Animal and Plant Health Inspection Service, 2010.

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Vacante, Vincenzo. Citrus mites: Identification, bionomy and control. Cambridge, MA: CABI North American Office, 2010.

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Vacante, Vincenzo. Citrus mites: Identification, bionomy and control. Cambridge, MA: CABI North American Office, 2010.

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United States. Animal and Plant Health Inspection Service. Huanglongbing, or citrus greening. 2nd ed. [Riverdale, Md.?]: U.S. Dept. of Agriculture, Animal and Plant Health Inspection Service, 2010.

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Chapitres de livres sur le sujet "Citrus Diseases and pests"

Neves, Marcos Fava, Vinícius Gustavo Trombin, Frederico Fonseca Lopes, Rafael Kalaki, and Patrícia Milan. "Pests and diseases in the Brazil’s citrus belt." In The orange juice business, 67. Wageningen: Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-739-4_17.

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Karamaouna, Filitsa, Panagiotis Mylonas, Dimitrios Papachristos, Dimitrios Kontodimas, Antonios Michaelakis, and Eleftheria Kapaxidi. "Main Arthropod Pests of Citrus Culture and Pest Management in Greece." In Integrated Management of Arthropod Pests and Insect Borne Diseases, 29–59. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8606-8_2.

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Zappalà, Lucia. "Citrus Integrated Pest Management in Italy." In Integrated Management of Arthropod Pests and Insect Borne Diseases, 73–100. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8606-8_4.

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Thanassoulopoulos, C. C. "Diseases." In Integrated Pest Control in Citrus-Groves, 583–85. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003079279-92.

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Campos-Herrera, Raquel, Robin J. Stuart, Fahiem El-Borai, Carmen Gutierrez, and Larry Duncan. "Entomopathogenic Nematode Ecology and Biological Control in Florida Citrus Orchards." In Integrated Management of Arthropod Pests and Insect Borne Diseases, 101–30. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8606-8_5.

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Jacas, Josep Anton, Filitsa Karamaouna, Rosa Vercher, and Lucia Zappalà. "Citrus Pest Management in the Northern Mediterranean Basin (Spain, Italy and Greece)." In Integrated Management of Arthropod Pests and Insect Borne Diseases, 3–27. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8606-8_1.

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Jacas, Josep Anton, and Alberto Urbaneja. "Biological Control in Citrus in Spain: From Classical to Conservation Biological Control." In Integrated Management of Arthropod Pests and Insect Borne Diseases, 61–72. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8606-8_3.

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Salemo, M., and G. Cutuli. "Fungal and bacterial diseases of citrus in the Mediterranean region." In Integrated Pest Control in Citrus-Groves, 243–48. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003079279-38.

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Albrigo, L. G., L. L. Stelinski, and L. W. Timmer. "Arthropod pests." In Citrus, 183–213. Wallingford: CABI, 2019. http://dx.doi.org/10.1079/9781845938154.0183.

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Catara, A., M. Davino, F. Russo, and G. Terranova. "Virus and virus-like diseases of citrus, plant quarantine regulation, clonal and sanitary programs in the Mediterranean area and criteria for handling virus-free clones." In Integrated Pest Control in Citrus-Groves, 295–304. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003079279-45.

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Actes de conférences sur le sujet "Citrus Diseases and pests"

Laisheng, Xiao, Wang Zhengxia, Peng Xiaohong, Wu Min, and Yu Guangzhou. "Remote Diagnosis and Control Expert System for Citrus Agricultural Diseases and Insect Pests Based on BP Neural Network and WebGIS." In 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE, 2009. http://dx.doi.org/10.1109/icicta.2009.738.

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Munkvold, Gary P. "Managing Diseases and Pests with Seed Treatments." In Proceedings of the 16th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2007. http://dx.doi.org/10.31274/icm-180809-893.

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Hunter, Wayne B. "Topical RNAi in citrus tree crops to control hemipteran pests." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.93851.

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Allan, Sandra A. "Citrus pests on olives in Florida: Should we be worried?" In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.93472.

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Schall, Kelsey A. "Implications of Argentine ant management for biological control of the Asian citrus psyllid and other citrus pests." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.114044.

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Tumang, Gina S. "Pests and Diseases Identification in Mango using MATLAB." In 2019 5th International conference on Engineering, Applied Sciences and Technology (ICEAST). IEEE, 2019. http://dx.doi.org/10.1109/iceast.2019.8802579.

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Khan, Ejaz, Muhammad Zia Ur Rehman, Fawad Ahmed, and Muhammad Attique Khan. "Classification of Diseases in Citrus Fruits using SqueezeNet." In 2021 International Conference on Applied and Engineering Mathematics (ICAEM). IEEE, 2021. http://dx.doi.org/10.1109/icaem53552.2021.9547133.

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Chen, Quan, Xin Liu, Caixia Dong, Tong Tong, Changcai Yang, Riqing Chen, Tengyue Zou, and Xiaolang Yang. "Deep Convolutional Network for Citrus Leaf Diseases Recognition." In 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2019. http://dx.doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00215.

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Wang, Qiyao, Guiqing He, Feng Li, and Haixi Zhang. "A novel database for plant diseases and pests classification." In 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2020. http://dx.doi.org/10.1109/icspcc50002.2020.9259502.

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Patel, Pruthvi P., and Dineshkumar B. Vaghela. "Crop Diseases and Pests Detection Using Convolutional Neural Network." In 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2019. http://dx.doi.org/10.1109/icecct.2019.8869510.

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Rapports d'organisations sur le sujet "Citrus Diseases and pests"

Bar-Joseph, Moshe, William O. Dawson, and Munir Mawassi. Role of Defective RNAs in Citrus Tristeza Virus Diseases. United States Department of Agriculture, September 2000. http://dx.doi.org/10.32747/2000.7575279.bard.

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This program focused on citrus tristeza virus (CTV), the largest and one of the most complex RNA-plant-viruses. The economic importance of this virus to the US and Israeli citrus industries, its uniqueness among RNA viruses and the possibility to tame the virus and eventually turn it into a useful tool for the protection and genetic improvement of citrus trees justify these continued efforts. Although the overall goal of this project was to study the role(s) of CTV associated defective (d)-RNAs in CTV-induced diseases, considerable research efforts had to be devoted to the engineering of the h

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Wilson, Charles, and Edo Chalutz. Biological Control of Postharvest Diseases of Citrus and Deciduous Fruit. United States Department of Agriculture, September 1991. http://dx.doi.org/10.32747/1991.7603518.bard.

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The objectives of this research were to develop control measures of postharvest diseases of citrus and deciduous fruits by using naturally-occurring, non-antibiotic-producing antagonists; study the mode of action of effective antagonists and optimize their application methods. Several antagonists were found against a variety of diseases of fruits and vegetables. One particularly effective yeast antagonist (US-7) was chosen for more in-depth studies. This antagonist outcompetes rot pathogens at the wound site for nutrients and space; it is better adapted than the pathogen to extreme environment

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Solomon, J. D., T. D. Leininger, A. D. Wilson, R. L. Anderson, L. C. Thompson, and F. I. McCracken. Ash pests: a guide to major insects, diseases, air pollution injury, and chemical injury. New Orleans, LA: U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station, 1993. http://dx.doi.org/10.2737/so-gtr-096.

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Kosiba, Alexandra, Emma Tait, Gene Desideraggio, Alyx Belisle, Clarke Cooper, and James Duncan. Threats to the Urban Forest: The potential economic impacts of invasive forest pests and diseases in the Northeast. Forest Ecosystem Monitoring Cooperative, June 2020. http://dx.doi.org/10.18125/8w9j42.

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Davis, Cristina, Amots Hetzroni, Alexander Aksenov, Michael J. Delwiche, Victoria Soroker, and Victor Alchanatis. Development of a universal volatile compound detection technology for early recognition of pests and diseases in fruit trees. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600016.bard.

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Amanor, Kojo, Joseph Yaro, Joseph Teye, and Steve Wiggin. Ghana’s Cocoa Farmers Need to Change Gear: What Policymakers Need to Know, and What They Might Do. Institute of Development Studies (IDS), March 2022. http://dx.doi.org/10.19088/apra.2022.008.

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Cocoa farmers in Ghana face increasing challenges. In the past, many of them could make a living from cocoa thanks to the advantages – ‘forest rents’ – that initially apply when forest is cleared to create cocoa farms: fertile soils, few pests and diseases. With time, however, weeds invade, pests and diseases build up, and trees age. To maintain production requires more labour, more inputs and more skill. In the past, farmers would often abandon older groves and seek new forest to clear. As they did so, the frontier for cocoa farming moved westwards across Ghana to the remaining high forest. B

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Chalutz, Edo, Michael Wisniewski, Samir Droby, Yael Eilam, and Ilan Chet. Mode of Action of Yeast Biocontrol Agents of Postharvest Diseases of Fruits. United States Department of Agriculture, June 1996. http://dx.doi.org/10.32747/1996.7613025.bard.

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In a previous BARD-supported study, three of the investigators of this research were involved in a study on biological control of postharvest diseases of citrus and deciduous fruits. Several naturally occurring, non-antibiotic producing yeast antagonists were identified. Application of some of these antagonists resulted in very high levels of biocontrol under laboratory conditions but lower efficacy in semi-commercial tests. It was felt that the lack of knowledge on the mode of action of the biocontrol agents was limiting their efficient use. The current study was aimed at narrowing this gap i

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Dawson, William O., and Moshe Bar-Joseph. Creating an Ally from an Adversary: Genetic Manipulation of Citrus Tristeza. United States Department of Agriculture, January 2004. http://dx.doi.org/10.32747/2004.7586540.bard.

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Citrus is one of the major agricultural crops common to Israel and the United States, important in terms of nutrition, foreign exchange, and employment. The economy of both citrus industries have been chronically plagued by diseases caused by Citrus tristeza virus (CTV). The short term solution until virus-resistant plants can be used is the use of mild strain cross-protection. We are custom designing "ideal" protecting viruses to immunize trees against severe isolates of CTV by purposely inoculating existing endangered trees and new plantings to be propagated as infected (protected) citrus bu

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Chalutz, Edo, Charles Wilson, Samir Droby, Victor Gaba, Clauzell Stevens, Robert Fluhr, and Y. Lu. Induction of Resistance to Postharvest Diseases and Extension of Shelf-Life of Fruits and Vegetables by Ultra-Violet Light. United States Department of Agriculture, February 1994. http://dx.doi.org/10.32747/1994.7568093.bard.

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Following preliminary observations by one of the collaborating scientists on this project and the completion of a 1-year, BARD-supported feasibility study (IS-1908-90F), this 3-year BARD project has been executed. The main objectives of the research were to elucidate biochemical and pathological aspects of UV-induced resistance in fruits and vegetables, to characterize physical and biological variables of induced resistance and delay of ripening, and to explore the application of the treatment as a control practice of postharvest diseases and shelf-life extension of fruits and vegetables. Our

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