Log in

Relevant bibliographies by topics / Tomato Leaf Disease

Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'Tomato Leaf Disease'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Tomato Leaf Disease.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Tomato Leaf Disease"

1

Pore, Prof Yogita, Suraj Teli, Swaraj Ghuge, and Nikhil Patil. "Leaf Disease Detection." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1767–70. http://dx.doi.org/10.22214/ijraset.2023.51405.

Full text

Abstract:

Abstract: Early disease identification is crucial for productive crop production in agriculture. illnesses such as bacterial spot, late blight, Septoria leaf spot, and yellow curved leaf the quality of the tomato harvest. Automatic classification techniques of plant diseases also assist in taking action once they are discovered diseased leaf symptoms Presented below is a Convolutional Learning Vector Quantization and Neural Network (CNN) model Method for detecting tomato leaf disease based on the (LVQ) algorithm and categorization. There are 500 tomato photos in the dataset. leaves that displa

APA, Harvard, Vancouver, ISO, and other styles

2

M, Megha. "Tomato Leaf Disease Detection and Monitoring System." International Journal of Science and Research (IJSR) 11, no. 7 (2022): 1746–49. http://dx.doi.org/10.21275/sr22719075340.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

M. R., Dr Sanghavi. "Tomato Leaf Disease Detection System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33787.

Full text

Abstract:

Tomato is a widely cultivated crop with significant economic importance in the agro based industry. However, tomato plants are susceptible to various diseases that can severely impact yield and quality. Early and accurate detection of these diseases is crucial for effective disease management and ensuring optimal production. In this study, we propose a novel approach that a convolutional Neural Network (CNN) for the automated detection of tomato leaf diseases. First, Convolutions is employed to reduce the dimensionality of the input data, extracting the most relevant features for disease detec

APA, Harvard, Vancouver, ISO, and other styles

4

Jasani, Abhishek, Mehul Dholi, and Soham Purkar. "Tomato Leaf Disease Detection." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 918–22. http://dx.doi.org/10.22214/ijraset.2022.41918.

Full text

Abstract:

Abstract: Tomato is an important crop in India and affects India’s economy in many ways. It is observed that the development in agriculture is sluggish nowadays due to the attack of diseases. Many farmers detect diseases by their previous experience or some take help from experts. Traditional ways are often used to detect the diseases by the farmers. So, there is the possibility of an inaccurate diagnosis of diseases having very large similarity in their symptoms. So, it is essential to move towards the new strategies for automatic diagnosis and controlling of disease. So, there is a need for

APA, Harvard, Vancouver, ISO, and other styles

5

Roopa, Ms, and Ayush C. "Tomato Leaf Disease Detection." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem.spejss003.

Full text

Abstract:

Tomato plants are particularly vulnerable to leaf diseases, which can take a serious toll on crop yield and quality if not caught early. Traditionally, farmers and agricultural experts rely on manual inspection to spot these diseases a method that can be both slow and prone to mistakes. To streamline this process, our project introduces an automated system that uses machine learning and image processing to detect tomato leaf diseases more accurately and efficiently. We worked with a dataset of tomato leaf images that includes both healthy leaves and those affected by diseases like Early Blight

APA, Harvard, Vancouver, ISO, and other styles

6

Singh, Ganesh Bahadur, Rajneesh Rani, Nonita Sharma, and Deepti Kakkar. "Identification of Tomato Leaf Diseases Using Deep Convolutional Neural Networks." International Journal of Agricultural and Environmental Information Systems 12, no. 4 (2021): 1–22. http://dx.doi.org/10.4018/ijaeis.20211001.oa3.

Full text

Abstract:

Crop disease is a major issue now days; as it drastically reduces food production rate. Tomato is cultivated in major part of the world. The most common diseases that affect tomato crops are bacterial spot, early blight, septoria leaf spot, late blight, leaf mold, target spot, etc. In order to increase the production rate of tomato, early identification of diseases is highly required. The existing work contains very less accurate system for identification of tomato crop diseases. The goal of our work is to propose cost effective and efficient deep learning model inspired from Alexnet for ident

APA, Harvard, Vancouver, ISO, and other styles

7

Madderi, Sivalingam Saravanan, and Lakshmi Devi Badabagni. "Encouraging hygiene permanence in tomato leaf and applying machine learning technique." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 343–49. https://doi.org/10.11591/ijeecs.v33.i1.pp343-349.

Full text

Abstract:

Tomatoes are the major ingredient in food preparation, which leads to a huge food production rate. Most countries cultivate huge tomatoes at the same time that crop diseases affect the production rate due to many different types of diseases. The various types of diseases are bacterial spots, septoria leaf spot, left mold, late blight, early blight, arget and spot. Many research studies review these tomato leaf diseases with various statistics. The survey on disease will give a clear idea of reasons and prevention methods, also presenting how to reduce it in the early stages. In another study,

APA, Harvard, Vancouver, ISO, and other styles

8

Madderi Sivalingam, Saravanan, and Lakshmi Devi Badabagni. "Encouraging hygiene permanence in tomato leaf and applying machine learning techniques." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 343. http://dx.doi.org/10.11591/ijeecs.v33.i1.pp343-349.

Full text

Abstract:

<div align="center"><span>Tomatoes are the major ingredient in food preparation, which leads to a huge food production rate. Most countries cultivate huge tomatoes at the same time that crop diseases affect the production rate due to many different types of diseases. The various types of diseases are bacterial spots, septoria leaf spot, left mold, late blight, early blight, arget and spot. Many research studies review these tomato leaf diseases with various statistics. The survey on disease will give a clear idea of reasons and prevention methods, also presenting how to reduce it i

APA, Harvard, Vancouver, ISO, and other styles

9

Nagaveni, B. Biradar, P. Farida, Yashoda, R. Sneha, and T. Tejeshwari. "Tomato Leaf Disease Detection Using Deep Learning and Flask." Journal of Scholastic Engineering Science and Management (JSESM), A Peer Reviewed Universities Refereed Multidisciplinary Research Journal 4, no. 4 (2025): 23–27. https://doi.org/10.5281/zenodo.15244627.

Full text

Abstract:

Tomato plants are vulnerable to various leaf diseases that reduce crop yield and quality. This project uses deep  learning, specifically a Convolutional Neural Network (CNN), to detect and classify tomato leaf diseases accurately.  A dataset containing images of healthy and diseased leaves is used for training and validation. The model is deployed  via a Flask web application, enabling users to upload leaf images and receive instant diagnosis. This system provides  an accessible and cost-effective tool for early disease detection. It aims to support farmers and improve toma

APA, Harvard, Vancouver, ISO, and other styles

10

Chopra, Gaurav, and Pawan Whig. "Analysis of Tomato Leaf Disease Identification Techniques." Journal of Computer Science and Engineering (JCSE) 2, no. 2 (2021): 98–103. http://dx.doi.org/10.36596/jcse.v2i2.171.

Full text

Abstract:

India loses thousands of metric tons of tomato crop every year due to pests and diseases. Tomato leaf disease is a major issue that causes significant losses to farmers and possess a threat to the agriculture sector. Understanding how does an algorithm learn to classify different types of tomato leaf disease will help scientist and engineers built accurate models for tomato leaf disease detection. Convolutional neural networks with backpropagation algorithms have achieved great success in diagnosing various plant diseases. However, human benchmarks in diagnosing plant disease have still not be

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Tomato Leaf Disease"

1

Hatzixanthis, Konstantinos. "Map-based cloning of the tomato Cf-5 disease resistance gene." Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309964.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Julián, Rodríguez Olga. "Exploitation of Solanum chilense and Solanum peruvianum in tomato breeding for resistance to Tomato yellow leaf curl disease." Doctoral thesis, Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/36867.

Full text

Abstract:

Among viral diseases affecting cultivated tomato, Tomato yellow leaf curl disease (TYLCD) is one of the most devastating. This disease is caused by a complex of viruses of which Tomato yellow leaf curl virus (TYLCV) is regarded as the most important species. Current control strategies to fight viral diseases in tomato are mainly based on genetic resistance derived from wild relatives. In the present thesis, resistance derived from S. chilense and S. peruvianum has been exploited in breeding for resistance to TYLCD. In a previous study, TYLCV-resistant breeding lines derived from LA1932, LA1960

APA, Harvard, Vancouver, ISO, and other styles

3

Ma, Xing. "Characterization and Management of Bacterial Leaf Spot of Processing Tomato in Ohio." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440386548.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Leke, Walter N., Djana B. Mignouna, Judith K. Brown, and Anders Kvarnheden. "Begomovirus disease complex: emerging threat to vegetable production systems of West and Central Africa." BioMed Central, 2015. http://hdl.handle.net/10150/610266.

Full text

Abstract:

Vegetables play a major role in the livelihoods of the rural poor in Africa. Among major constraints to vegetable production worldwide are diseases caused by a group of viruses belonging to the genus Begomovirus, family Geminiviridae. Begomoviruses are plant-infecting viruses, which are transmitted by the whitefly vector Bemisia tabaci and have been known to cause extreme yield reduction in a number of economically important vegetables around the world. Several begomoviruses have been detected infecting vegetable crops in West and Central Africa (WCA). Small single stranded circular molecules,

APA, Harvard, Vancouver, ISO, and other styles

5

Ali, Mohamed A. "Cell and tissue culture of tomato : application to disease resistance to powdery mildew (Erysiphe cichoracearum) and leaf spot (Xanthomonas campestris pv. vesicatoria)." Thesis, University of Bath, 1993. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317304.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Behjatnia, Seyyed Ali Akbar. "Characterisation of DNA replication of tomato leaf curl geminivirus /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09ACP/09acpb419.pdf.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Raisheed, Muhammad Saif-ur. "Tissue targeting signals of Tomato leaf curl virus." Thesis, 2007. http://hdl.handle.net/2440/63571.

Full text

Abstract:

The tissue and intracellular distribution of the monopartite Tomato leaf curl virus (TLCV) was investigated by in situ hybridization. contrary to the previous understanding of geminiviral localization, single stranded (SS) DNA of TCLV accumulated in the cytoplasm. TCLV ssDNA was also found in the nucleus, as were levels of replicative form doubl-stranded (ds)DNA.<br>Thesis (Ph.D.) -- University of Adelaide, School of Agriculture, Food and Wine, 2007

APA, Harvard, Vancouver, ISO, and other styles

8

Lin, Yen-Jen, and 林彥仁. "Survey of tomato yellow lef curl disease and its effects on the growth of six tomto vrieties in Taiwan." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/30443152744078545567.

Full text

Abstract:

碩士<br>國立屏東科技大學<br>熱帶農業研究所<br>90<br>Tomato yellow leave curl disease, a disease caused by whitefly-transmitted geminivirus, is a serious production constraint of tomato worldwide. The objective of this research is to realize the influence of tomato yellow leaf curl disease on tomato growth and the possible viral agent causing this disease in Taiwan. Results of this study could be used as reference for epidemic study and disease control in the field. Field inspection was conducted first to estimate the rate of infection of the TYLC disease in the field. The areas inspected included ten of the ma

APA, Harvard, Vancouver, ISO, and other styles

9

Behjatnia, Seyyed Ali Akbar. "Characterisation of DNA replication of tomato leaf curl geminivirus / Seyyed Ali Akbar Behjatnia." Thesis, 1997. http://hdl.handle.net/2440/14766.

Full text

Abstract:

Bibliography: leaves 133-152.<br>xi, 152 leaves : ill. (some col.), col. map ; 30 cm.<br>Studies biological relatedness of strains of tomato leaf curl virus and cross-interaction with the replication-associated protein requireed for DNA replication.<br>Thesis (Ph.D.)--University of Adelaide, Dept. of Crop Protection, 1997

APA, Harvard, Vancouver, ISO, and other styles

10

Roach, Rebecca. "Identification and classification of Xanthomonas spp. causing bacterial leaf spot on capsicum, chilli and tomato in Australia." Thesis, 2018. http://era.daf.qld.gov.au/id/eprint/7480/.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Tomato Leaf Disease"

1

Czosnek, Henryk, ed. Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Czosnek, Henryk. Tomato Yellow Leaf Curl Virus Disease. Springer, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Czosnek, Henryk. Tomato Yellow Leaf Curl Virus Disease: Management, molecular biology, breeding for resistance. Springer, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Czosnek, Henryk. Tomato Yellow Leaf Curl Virus Disease: Management, Molecular Biology, Breeding for Resistance. Czosnek Henryk, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Czosnek, Henryk. Tomato Yellow Leaf Curl Virus Disease: Management, Molecular Biology, Breeding for Resistance. Springer London, Limited, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Abdallah, Roshan. Evaluation of DNA hybridization probes for detecting Xanthomonas campestris pv. vesicatoria and analysis of genomic diversity by RFLP techniques. 1993.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Tomato Leaf Disease"

1

Moriones, Enrique, and Jesús Navas-Castillo. "Tomato Yellow Leaf Curl Disease Epidemics." In Bemisia: Bionomics and Management of a Global Pest. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2460-2_8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Sangeetha, R., and M. Mary Shanthi Rani. "Tomato Leaf Disease Prediction Using Transfer Learning." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0404-1_1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Yaji, Srikrishna Ganapati, Nagaratna B. Chittaragi, and Shashidhar G. Koolagudi. "Tomato leaf disease classification using transfer learning." In Data Science & Exploration in Artificial Intelligence. A A Balkema, 2025. https://doi.org/10.1201/9781003587392-27.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Gorovits, Rena, and Henryk Czosnek. "Biotic and Abiotic Stress Responses in Tomato Breeding Lines Resistant and Susceptible to Tomato Yellow Leaf Curl Virus." In Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5_13.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Anfoka, Ghandi. "Gene silencing of Tomato Yellow Leaf Curl Virus." In Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5_23.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Cohen, Shlomo, and Moshe Lapidot. "Appearance and Expansion of TYLCV: a Historical Point of View." In Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5_1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ghanim, Murad, and Vicente Medina. "Localization of Tomato Yellow Leaf Curl Virus in its Whitefly Vector Bemisia Tabaci." In Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5_10.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Wege, Christina. "Movement and localization of Tomato Yellow Leaf Curl Viruses in the Infected Plant." In Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5_11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Castillo, Araceli G., Gabriel Morilla, Rosa Lozano, et al. "Identification of Plant Genes Involved in TYLCV Replication." In Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5_12.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Accotto, Gian Paolo, and Emanuela Noris. "Detection methods for TYLCV and TYLCSV." In Tomato Yellow Leaf Curl Virus Disease. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-4769-5_14.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Tomato Leaf Disease"

1

SS, Sivasankari, Vinu R, and Supriya. "Tomato Leaf Disease Classification using VGG16." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841517.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Pansy, D. Lita, V. Vidhya, S. R. Noble Lourdhu Raj, E. DilipKumar, P. Malathi, and T. Kalaivanan. "Toledic: Tomato Leaf Disease Classification Lite." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011837.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Lamani, Gagan Deep, T. M. Gagan, Shankaraling Halemani, K. Fayaz, and Meenaxi M. Raikar. "Tomato Leaf Disease Detection using Federated Learning." In 2024 4th International Conference on Intelligent Technologies (CONIT). IEEE, 2024. http://dx.doi.org/10.1109/conit61985.2024.10626775.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Garba, Ahmad Ahmad, Vihsal Jain, and Kanika Singla. "Tomato Leaf Disease Detection Using CNN Models." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10840660.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Liu, Xiangyu, Haotian Lei, Yan Zhou, Jia Ming Feng, Guo Niu, and Yuexia Zhou. "Tomato leaf disease detection based on improved YOLOv8." In 2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI). IEEE, 2024. http://dx.doi.org/10.1109/iotaai62601.2024.10692846.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Shi, Zedong, Jiahua Liu, Xubin Qin, and Jing Cao. "Tomato Leaf Disease Detection Algorithm Based on Yolov5s." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662742.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Senthil Pandi, S., P. Sooraj Nikam, D. Subeash, and Sathish Kumar Kannaiah. "Tomato Leaf Disease Detection Technique using VGG-19." In 2024 International Conference on Computational Intelligence for Green and Sustainable Technologies (ICCIGST). IEEE, 2024. http://dx.doi.org/10.1109/iccigst60741.2024.10717462.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Murthy, G. N. Keshava, K. Abisha, H. B. Bhoomika, S. R. Disha, and K. R. Pallavi. "Tomato Leaf Disease Detection Using Convolution Neural Network." In 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET). IEEE, 2024. https://doi.org/10.1109/icraset63057.2024.10895507.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Gupta, Sonali, Manisha Aeri, Vinay Kukreja, and Shiva Mehta. "Tomato Leaf Disease Detection: Deciphering Disease Severity with CNN-RF Intelligence." In 2024 IEEE International Conference on Contemporary Computing and Communications (InC4). IEEE, 2024. http://dx.doi.org/10.1109/inc460750.2024.10649376.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Kushwaha, Rishabh, and Vishal Jain. "Tomato Leaf Disease Detection Using TensorFlow and Keras Libraries." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10840432.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Tomato Leaf Disease"

1

Citovsky, Vitaly, and Yedidya Gafni. Nuclear Import of the Tomato Yellow Curl Leaf Virus in Tomato Plants. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568765.bard.

Full text

Abstract:

Tomato yellow leaf curl geminivirus (TYLCV) is a major pathogen of cultivated tomato, causing up to 100% crop loss in many parts of the world. In Israel the disease is well known and has an economic significance. In recent years viral symptoms were found in countries of the "New World" and since 1997, in Florida. Surprisingly, little is known about the molecular mechanisms of TYLCV interaction with the host plant cells. This proposal was aimed at expanding our understanding of the molecular mechanisms by which TYLCV enters the host cell nucleus. The main objective was to elucidate the TYLCV pr

APA, Harvard, Vancouver, ISO, and other styles

2

Levin, Ilan, John Thomas, Moshe Lapidot, Desmond McGrath, and Denis Persley. Resistance to Tomato yellow leaf curl virus (TYLCV) in tomato: molecular mapping and introgression of resistance to Australian genotypes. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7613888.bard.

Full text

Abstract:

Tomato yellow leaf curl virus (TYLCV) is one of the most devastating viruses of cultivated tomatoes. Although first identified in the Mediterranean region, it is now distributed world-wide. Sequence analysis of the virus by the Australian group has shown that the virus is now present in Australia. Despite the importance of the disease and extensive research on the virus, very little is known about the resistance genes (loci) that determine host resistance and susceptibility to the virus. A symptom-less resistant line, TY-172, was developed at the Volcani Center which has shown the highest resi

APA, Harvard, Vancouver, ISO, and other styles

3

Citovsky, Vitaly, and Yedidya Gafni. Viral and Host Cell Determinants of Nuclear Import and Export of the Tomato Yellow Leaf Curl Virus in Tomato Plants. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585200.bard.

Full text

Abstract:

Tomato yellow leaf curl geminivirus (TYLCV) is a major pathogen of cultivated tomato, causing up to 100% crop loss in many parts of the world. In Israel, where TYLCV epidemics have been recorded since the 1960' s, this viral disease is well known and has been of economic significance ever since. In recent years, TYLCV outbreaks also occurred in the "New World" - Cuba, The Dominican Republic, and in the USA, in Florida, Georgia and Louisiana. Thus, TYLCV substantially hinders tomato growth throughout the world. Surprisingly, however, little is known about the molecular mechanisms of TYLCV inter

APA, Harvard, Vancouver, ISO, and other styles

4

Czosnek, Henryk Hanokh, Dani Zamir, Robert L. Gilbertson, and Lucas J. William. Resistance to Tomato Yellow Leaf Curl Virus by Combining Expression of a Natural Tolerance Gene and a Dysfunctional Movement Protein in a Single Cultivar. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7573079.bard.

Full text

Abstract:

Background The tomato yellow leaf curl disease (TYLCV) has been a major deterrent to tomato production in Israel for the last 20 years. This whitefly-transmitted viral disease has been found in the Caribbean Island in the early 1990s, probably as an import from the Middle East. In the late 1990s, the virus has spread to the US and is now conspicuous in Florida and Georgia. Objectives Because of the urgency facing the TYLCV epidemics, there was a compelling need to mobilize scientists to develop tomato variety resistant to TYLCV. The major goal was to identify the virus movement protein (MP) an

APA, Harvard, Vancouver, ISO, and other styles

5

Michel Jr., Frederick C., Harry A. J. Hoitink, Yitzhak Hadar, and Dror Minz. Microbial Communities Active in Soil-Induced Systemic Plant Disease Resistance. United States Department of Agriculture, 2005. http://dx.doi.org/10.32747/2005.7586476.bard.

Full text

Abstract:

Induced Systemic Resistance (ISR) is a highly variable property that can be induced by compost amendment of potting media and soils. For example, previous studies showed that only 1 of 79 potting mixes prepared with different batches of mature composts produced from several different types of solid wastes were able to suppress the severity of bacterial leaf spot of radish caused by Xanthomonas campestris pv. armoraciae compared with disease on plants produced in a nonamended sphagnum peat mix. In this project, microbial consortia in the rhizosphere of plants grown in ISR-active compost-amended

APA, Harvard, Vancouver, ISO, and other styles

6

Steffens, John C., and Eithan Harel. Polyphenol Oxidases- Expression, Assembly and Function. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7571358.bard.

Full text

Abstract:

Polyphenol oxidases (PPOs) participate in the preparation of many plant products on the one hand and cause considerable losses during processing of plant products on the other hand. However, the physiological functions of plant PPO were still a subject of controversy at the onset of the project. Preliminary observations that suggested involvement of PPOs in resistance to herbivores and pathogens held great promise for application in agriculture but required elucidation of PPO's function if modulation of PPO expression is to be considered for improving plant protection or storage and processing

APA, Harvard, Vancouver, ISO, and other styles

7

Manulis, Shulamit, Christine D. Smart, Isaac Barash, Guido Sessa, and Harvey C. Hoch. Molecular Interactions of Clavibacter michiganensis subsp. michiganensis with Tomato. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7697113.bard.

Full text

Abstract:

Clavibacter michiganensis subsp. michiganensis (Cmm), the causal agent of bacterial wilt and canker of tomato, is the most destructive bacterial disease of tomato causing substantial economic losses in Israel, the U.S.A. and worldwide. The molecular strategies that allow Cmm, a Gram-positive bacterium, to develop a successful infection in tomato plants are largely unknown. The goal of the project was to elucidate the molecular interactions between Cmmand tomato. The first objective was to analyze gene expression profiles of susceptible tomato plants infected with pathogenic and endophytic Cmms

APA, Harvard, Vancouver, ISO, and other styles

8

Prusky, Dov B., Tesfaye Mengiste, and Robert Fluhr. Mechanisms activated by fungal-based host pH modulators during quiescent infections and active postharvest disease development. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7597911.bard.

Full text

Abstract:

This project aims were to provide new insights on the mechanisms activated during alkalinization and acidification of the infection court by Colletotrichum and Botrytis spp. respectively that will lead to quiescent infection-development on tomato fruits. We have chosen these pathogens due to their contrasting life style of alkalinization and acidification, respectively. We will study the roles of these fungal-based host-pH modulators in modulating host gene expression during quiescent infection development and compare these roles with those governing active colonization as a basis for developi

APA, Harvard, Vancouver, ISO, and other styles

9

Jordan, Ramon L., Abed Gera, Hei-Ti Hsu, Andre Franck, and Gad Loebenstein. Detection and Diagnosis of Virus Diseases of Pelargonium. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568793.bard.

Full text

Abstract:

Pelargonium (Geranium) is the number one pot plant in many areas of the United States and Europe. Israel and the U.S. send to Europe rooted cuttings, foundation stocks and finished plants to supply a certain share of the market. Geraniums are propagated mainly vegetatively from cuttings. Consequently, viral diseases have been and remain a major threat to the production and quality of the crop. Among the viruses isolated from naturally infected geraniums, 11 are not specific to Pelargonium and occur in other crops while 6 other viruses seem to be limited to geranium. However, several of these v

APA, Harvard, Vancouver, ISO, and other styles

10

Gafni, Yedidya, Moshe Lapidot, and Vitaly Citovsky. Dual role of the TYLCV protein V2 in suppressing the host plant defense. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7597935.bard.

Full text

Abstract:

TYLCV-Is is a major tomato pathogen, causing extensive crop losses in Israel and the U.S. We have identified a TYLCV-Is protein, V2, which acts as a suppressor of RNA silencing. Intriguingly, the counter-defense function of V2 may not be limited to silencing suppression. Our recent data suggest that V2 interacts with the tomato CYP1 protease. CYP1 belongs to the family of papain-like cysteine proteases which participate in programmed cell death (PCD) involved in plant defense against pathogens. Based on these data we proposed a model for dual action of V2 in suppressing the host antiviral defe

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!