Academic literature on the topic 'Virus diseases of maize'
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Journal articles on the topic "Virus diseases of maize"
Poudel, Nabin Sharma, and Kapil Khanal. "Viral Diseases of Crops in Nepal." International Journal of Applied Sciences and Biotechnology 6, no. 2 (June 29, 2018): 75–80. http://dx.doi.org/10.3126/ijasbt.v6i2.19702.
Full textSnihur, H., A. Kharina, M. Kaliuzhna, V. Chumak, and I. Budzanivska. "First Report of Sugarcane Mosaic Virus in Zea mays L. in Ukraine." Mikrobiolohichnyi Zhurnal 83, no. 5 (October 17, 2021): 58–66. http://dx.doi.org/10.15407/microbiolj83.05.058.
Full textKannan, Maathavi, Ismanizan Ismail, and Hamidun Bunawan. "Maize Dwarf Mosaic Virus: From Genome to Disease Management." Viruses 10, no. 9 (September 13, 2018): 492. http://dx.doi.org/10.3390/v10090492.
Full textCao, Ning, Binhui Zhan, and Xueping Zhou. "Nitric Oxide as a Downstream Signaling Molecule in Brassinosteroid-Mediated Virus Susceptibility to Maize Chlorotic Mottle Virus in Maize." Viruses 11, no. 4 (April 22, 2019): 368. http://dx.doi.org/10.3390/v11040368.
Full textTHOTTAPPILLY, G., N. A. BOSQUE-PÉREZ, and H. W. ROSSEL. "Viruses and virus diseases of maize in tropical Africa." Plant Pathology 42, no. 4 (August 1993): 494–509. http://dx.doi.org/10.1111/j.1365-3059.1993.tb01529.x.
Full textIlbağı, Havva, Frank Rabenstein, Antje Habekuss, Frank Ordon, and Ahmet Çıtır. "Incidence of virus diseases in maize fields in the Trakya region of Turkey." Phytoprotection 87, no. 3 (May 29, 2007): 115–22. http://dx.doi.org/10.7202/015853ar.
Full textYahaya, Adama, Danladi B. Dangora, Olufemi J. Alabi, Aisha M. Zongoma, and P. Lava Kumar. "Detection and diversity of maize yellow mosaic virus infecting maize in Nigeria." VirusDisease 30, no. 4 (November 21, 2019): 538–44. http://dx.doi.org/10.1007/s13337-019-00555-0.
Full textCharles, Alice K., William M. Muiru, Douglas W. Miano, and John W. Kimenju. "Distribution of Common Maize Diseases and Molecular Characterization of Maize Streak Virus in Kenya." Journal of Agricultural Science 11, no. 4 (March 15, 2019): 47. http://dx.doi.org/10.5539/jas.v11n4p47.
Full textBatchelor, William D., L. M. Suresh, Xiaoxing Zhen, Yoseph Beyene, Mwaura Wilson, Gideon Kruseman, and Boddupalli Prasanna. "Simulation of Maize Lethal Necrosis (MLN) Damage Using the CERES-Maize Model." Agronomy 10, no. 5 (May 15, 2020): 710. http://dx.doi.org/10.3390/agronomy10050710.
Full textYu, Cui, Zhang Ai-hong, Ren Ai-jun, and Miao Hong-qin. "Types of Maize Virus Diseases and Progress in Virus Identification Techniques in China." Journal of Northeast Agricultural University (English Edition) 21, no. 1 (March 2014): 75–83. http://dx.doi.org/10.1016/s1006-8104(14)60026-x.
Full textDissertations / Theses on the topic "Virus diseases of maize"
Gomez, Luengo Rodolfo Gustavo. "Proteins and serological relationships of maize mosaic virus isolates and replication of the virus in Maize (Zea Mays L.) protoplasts /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487327695621001.
Full textChauhan, Ramola. "A study of filamentous viruses in maize and smallgrains." Master's thesis, University of Cape Town, 1985. http://hdl.handle.net/11427/22013.
Full textThe occurrence of maize dwarf mosaic virus (MDMV) in field grown maize was investigated. For this purpose, maize showing mosiac symptoms was collected from different maize growing areas in South Africa by Prof. M.B. von Wechmar. These samples from Transvaal, Orange Free State and Natal were then investigated for the presence of MDMV and possible strains of this virus. Three virus isolates were purified and partially characterised. These isolates were serologically compared together with a fourth isolate SCMV 4975, obtained from the U.S., to establish strain relationships.
Presello, Daniel A. "Studies on breeding of maize for resistance to ear rots caused by Fusarium spp. and on the occurrence of viruses in maize in eastern Canada." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=38260.
Full textDonahue, Patrick J. "Inheritance of reactions to gray leaf spot and maize dwarf mosaic virus in maize and their associations with physiological traits." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54518.
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Dhau, Inos. "Detection, identification, and mapping of maize streak virus and grey leaf spot diseases of maize using different remote sensing techniques." Thesis, University of Limpopo, 2019. http://hdl.handle.net/10386/2866.
Full textOf late climate change and consequently, the spread of crop diseases has been identified as one of the major threat to crop production and food security in subSaharan Africa. This research, therefore, aims to evaluate the role of in situ hyperspectral and new generation multispectral data in detecting maize crop viral and fungal diseases, that is maize streak virus and grey leaf spot respectively. To accomplish this objective; a comparison of two variable selection techniques (Random Forest’s Forward Variable, (FVS) and Guided Regularized Random Forest: (GRRF) was done in selecting the optimal variables that can be used in detecting maize streak virus disease using in-situ resampled hyperspectral data. The findings indicated that the GRRF model produced high classification accuracy (91.67%) whereas the FVS had a slightly lower accuracy (87.60%) based on Hymap when compared to the AISA. The results have shown that the GRRF algorithm has the potential to select compact feature sub sets, and the accuracy performance is better than that of RF’s variable selection method. Secondly, the utility of remote sensing techniques in detecting the geminivirus infected maize was evaluated in this study based on experiments in Ofcolaco, Tzaneen in South Africa. Specifically, the potential of hyperspectral data in detecting different levels of maize infected by maize streak virus (MSV) was tested based on Guided Regularized Random Forest (GRRF). The findings illustrate the strength of hyperspectral data in detecting different levels of MSV infections. Specifically, the GRRF model was able to identify the optimal bands for detecting different levels of maize streak disease in maize. These bands were allocated at 552 nm, 603 nm, 683 nm, 881 nm, and 2338 nm. This study underscores the potential of using remotely sensed data in the accurate detection of maize crop diseases such as MSV and its severity which is critical in crop monitoring to foster food security, especially in the resource-limited subSaharan Africa. The study then investigated the possibility to upscale the previous findings to space borne sensor. RapidEye data and derived vegetation indices were tested in detecting and mapping the maize streak virus. The results revealed that the use of RapidEye spectral bands in detection and mapping of maize streak virus disease yielded good classification results with an overall accuracy of 82.75%. The inclusion of RapidEye derived vegetation indices improved the classification accuracies by 3.4%. Due to the cost involved in acquiring commercial images, like xviii RapidEye, a freely available Landsat-8 data can offer a new data source that is useful for maize diseases estimation, in environments which have limited resources. This study investigated the use of Landsat 8 and vegetation indices in estimating and predicting maize infected with maize streak virus. Landsat 8 data produced an overall accuracy of 50.32%. The inclusion of vegetation indices computed from Landsat 8 sensor improved the classification accuracies by 1.29%. Overally, the findings of this study provide the necessary insight and motivation to the remote sensing community, particularly in resource-constrained regions, to shift towards embracing various indices obtained from the readily-available and affordable multispectral Landsat-8 OLI sensor. The results of the study show that the mediumresolution multispectral Landsat 8-OLI data set can be used to detect and map maize streak virus disease. This study demonstrates the invaluable potential and strength of applying the readily-available medium-resolution, Landsat-8 OLI data set, with a large swath width (185 km) in precisely detecting and mapping maize streak virus disease. The study then examined the influence of climatic, environmental and remotely sensed variables on the spread of MSV disease on the Ofcolaco maize farms in Tzaneen, South Africa. Environmental and climatic variables were integrated together with Landsat 8 derived vegetation indices to predict the probability of MSV occurrence within the Ofcolaco maize farms in Limpopo, South Africa. Correlation analysis was used to relate vegetation indices, environmental and climatic variables to incidences of maize streak virus disease. The variables used to predict the distribution of MSV were elevation, rainfall, slope, temperature, and vegetation indices. It was found that MSV disease infestation is more likely to occur on low-lying altitudes and areas with high Normalised Difference Vegetation Index (NDVI) located at an altitude ranging of 350 and 450 m.a.s.l. The suitable areas are characterized by temperatures ranging from 24°C to 25°C. The results indicate the potential of integrating Landsat 8 derived vegetation indices, environmental and climatic variables to improve the prediction of areas that are likely to be affected by MSV disease outbreaks in maize fields in semi-arid environments. After realizing the potential of remote sensing in detecting and predicting the occurrence of maize streak virus disease, the study further examined its potential in mapping the most complex disease; Grey Leaf Spot (GLS) in maize fields using WorldView-2, Quickbird, RapidEye, and Sentinel-2 resampled from hyperspectral data. To accomplish this objective, field spectra were acquired from healthy, moderate and xix severely infected maize leaves during the 2013 and 2014 growing seasons. The spectra were then resampled to four sensor spectral resolutions – namely WorldView-2, Quickbird, RapidEye, and Sentinel-2. In each case, the Random Forest algorithm was used to classify the 2013 resampled spectra to represent the three identified disease severity categories. Classification accuracy was evaluated using an independent test dataset obtained during the 2014 growing season. Results showed that Sentinel-2 achieved the highest overall accuracy (84%) and kappa value (0.76), while the WorldView-2, produced slightly lower accuracies. The 608 nm and 705nm were selected as the most valuable bands in detecting the GLS for Worldview 2, and Sentinel-2. Overall, the results imply that opportunities exist for developing operational remote sensing systems for detection of maize disease. Adoption of such remote sensing techniques is particularly valuable for minimizing crop damage, improving yield and ensuring food security.
Madzokere, Eugene T. "The phylogeography, epidemiology and determinants of Maize streak virus dispersal across Africa and the adjacent Indian Ocean Islands." University of the Western Cape, 2015. http://hdl.handle.net/11394/4955.
Full textMaize streak disease (MSD), caused by variants of the Maize streak virus (MSV) A strain, is the world's third and Africa’s most important maize foliar disease. Outbreaks of the disease occur frequently and in an erratic fashion across Africa and Islands in the Indian Ocean causing devastating yield losses such that the emergence, resurgence and rapid diffusion of MSV-A variants in this region presents a serious threat to maize production, farmer livelihoods and food security. To compliment current MSD management systems, a total of 689 MSV-A full genomes sampled over a 32 year period (1979-2011) from 20 countries across Africa and the adjacent Indian Ocean Islands, 286 of which were novel, were used to estimate: (i) the levels of genetic diversity using MEGA and the Sequence Demarcation Tool v1.2 (SDT); (ii) the times of occurrence and distribution of recombination using the recombination detection program (RDP v.4) and the genetic algorithm for recombination detection (GARD); (iii) selection pressure on codon positions using PARRIS and FUBAR methods implemented on the DATAMONKEY web server; (iv) reconstruct the history of spatio-temporal diffusion for MSV-A using the discrete phylogeographic models implemented in BEAST v1.8.1; (v) characterize source-sink dynamics and identify predictor variables driving MSV-A dispersal using the generalized linear models, again implemented in BEAST v1.8.1. Isolates used displayed low levels of genetic diversity (0.017 mean pairwise distance and ≥ 98% nucleotide sequence identities), and a well-structured geographical distribution where all of the 233 novel isolates clustered together with the -A1 strains. A total of 34 MSV inter-strain recombination events and 33 MSV-A intra-strain recombination events, 15 of which have not been reported in previous analyses (Owor et al., 2007, Varsani et al., 2008 and Monjane et al., 2011), were detected. The majority of intra-strain MSV-A recombination events detected were inferred to have occurred within the last six decades, the oldest and most conserved of these being events 19, 26 and 28 whereas the most recent events were 8, 16, 17, 21, 23, and 29. Intra-strain recombination events 20, 25 and 33, were widely distributed amongst East African MSV-A samples, whereas events 16, 21 and 23, occurred more frequently within West African MSV-A samples. Events 1, 4, 8, 10, 14, 17, 19, 22, 24, 25, 26, 28, and 29 were more widely distributed across East, West and Southern Africa and the adjacent Indian Ocean Islands. Whereas codon positions 12 and 19 within motif I in the coat protein transcript, and four out of the seven codon positions (147, 166, 195, 203, 242, 262, 267) in the Rep transcript (codons 195 and 203 in the Rb motif and codons 262 and 267 in site B of motif IV), evolved under strong positive selection pressure, those in the movement protein (MP) and RepA protein encoding genes evolved neutrally and under negative selection pressure respectively. Phylogeographic analyses revealed that MSV-A first emerged in Zimbabwe around 1938 (95% HPD 1904 - 1956), and its dispersal across Africa and the adjacent Indian Ocean Islands was achieved through approximately 34 migration events, 19 of which were statistically supported using Bayes factor (BF) tests. The higher than previously reported mean nucleotide substitution rate [9.922 × 10-4 (95% HPD 8.54 × 10-4 to 1.1317 × 10-3) substitutions per site per year)] for the full genome recombination-free MSV-A dataset H estimated was possibly a result of high nucleotide substitution rates being conserved among geminiviruses such as MSV as previously suggested. Persistence of MSV-A was highest in source locations that include Zimbabwe, followed by South Africa, Uganda, and Kenya. These locations were characterized by high average annual precipitation; moderately high average annual temperatures; high seasonal changes; high maize yield; high prevalence of undernourishment; low trade imports and exports; high GDP per capita; low vector control pesticide usage; high percentage forest land area; low percentage arable land; high population densities, and were in close proximity to sink locations. Dispersal of MSV-A was frequent between locations that received high average annual rainfall, had high percentage forest land area, occupied high latitudes and experienced similar climatic seasons, had high GDP per capita and had balanced maize import to export ratios, and were in close geographical proximity.
National Research Foundation (NRF), the Poliomyelitis Research Foundation (PRF), and the Thuthuka Board
Nhlane, W. G. "Genetic analysis of maize streak virus disease and the combining ability of maize streak resistant and susceptible populations." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282544.
Full textFourie, Michelle Louise. "The potential of wheat, maize, lucerne, and soybean as plant borders to reduce aphid-transmitted virus incidence in seed potatoes." Pretoria : [s. n.], 2008. http://upetd.up.ac.za/thesis/available/etd-09042009-172734/.
Full textKnox, Elizabeth. "Mixed infections of maize dwarf mosaic virus and cucumber mosaic virus in maize." Master's thesis, University of Cape Town, 1986. http://hdl.handle.net/11427/21898.
Full textMaize plants collected in three geographically distinct regions of South Africa were found to be doubly infected with maize dwarf mosaic (MDMV) and cucumber mosaic virus (CMV). A mixed infection of these two viruses could be maintained in maize plants grown under laboratory conditions. The possibility of synergism or of an interference mechanism between MDMV and CMV in dual infections was investigated and it was found that prior infection with CMV interfered with subsequent infection by MDMV. MDMV and CMV were shown to be non-persistently transmitted by Myzus persicae, Rhopalosiphum padi and Rhopalosipbum maidis aphids. Protoplasts were isolated from maize seedlings and could be viably maintained for up to 66 hours. The maize protoplasts were infected with CMV and MDMV either singly, or together as a mixed inoculum. Infection curves for each virus were plotted. The presence of CMV in a mixed inoculum appeared to prevent infection of the protoplasts by MDMV. Protoplasts were isolated from plants systemically infected with CMV and/or MDMV. Superinfection of protoplasts prepared from CMV infected seedlings with MDMV was not possible. As a possible vehicle for virus infection of protoplasts liposomes were produced. Initially fluorescent dyes were incorporated in them. These were fused to the maize protoplasts. Attempts were made to encapsulate virus particles in the liposomes and fuse them to maize protoplasts but this was not successful.
Liu, Huanting. "Molecular biology of maize streak virus movement in maize." Thesis, University of East Anglia, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361478.
Full textBooks on the topic "Virus diseases of maize"
Wallin, J. R. 1983 virus tolerance ratings of maize genotypes grown in Missouri. [Washington, D.C.]: U.S. Dept. of Agriculture, Agricultural Research Service, 1985.
Find full textNebbache, Salim. The virus-vector relationship of maize streak virus with Cicadulina leafhoppers. Norwich: University ofEast Anglia, 1988.
Find full textLapierre, Hervé. Virus and virus diseases of Poaceae (Gramineae). Edited by Signoret Pierre A and Institut national de la recherche agronomique (France). Paris: Institut National de la Recherche Agronomique (France), 2004.
Find full textFood, Ontario Ministry of Agriculture and. Virus diseases of soybeans. S.l: s.n, 1988.
Find full textFrank and Bobbie Fenner Conference on Medical Research. (1st 1988 John Curtin School of Medical Research). Immunology of virus diseases. [Canberra]: John Curtin School of Medical Research, 1989.
Find full textda Silva, Suzane Ramos, Fan Cheng, and Shou-Jiang Gao. Zika Virus and Diseases. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119408673.
Full textEdouard, Kurstak, ed. Control of virus diseases. 2nd ed. New York: Marcel Dekker, 1993.
Find full textSonenklar, Carol. Virus hunters. Brookfield, Conn: Twenty-First Century Books, 2003.
Find full textMatthews, R. E. F. 1921-, ed. Diagnosis of plant virus diseases. Boca Raton: CRC Press, 1993.
Find full textBook chapters on the topic "Virus diseases of maize"
Gordon, D. T., and G. Thottappilly. "Maize and Sorghum." In Virus and Virus-like Diseases of Major Crops in Developing Countries, 295–336. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0791-7_12.
Full textMei, Yu, and Steven A. Whitham. "Virus-Induced Gene Silencing in Maize with a Foxtail mosaic virus Vector." In Maize, 129–39. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7315-6_7.
Full textRedinbaugh, Margaret G., and Richard C. Pratt. "Virus Resistance." In Handbook of Maize: Its Biology, 251–70. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-79418-1_13.
Full textZhou, Tao, Xuedong Liu, and Zaifeng Fan. "Use of a Virus Gene Silencing Vector for Maize Functional Genomics Research." In Maize, 141–50. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7315-6_8.
Full textTaylor, N. L., and K. H. Quesenberry. "Virus Diseases." In Red Clover Science, 91–96. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8692-4_7.
Full textNeve, R. A. "Virus diseases." In Hops, 175–93. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3106-3_8.
Full textChen, Ren-Gui, Ping Li, Chen Wang, Ming-Yu Xia, Xin-Feng Wu, Cheng Tan, and Ru-Zhi Zhang. "Virus Diseases." In Atlas of Skin Disorders, 3–10. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8037-1_1.
Full textAbbas, Muhammad Taqqi, Muhammad Shafiq, Hibba Arshad, Rajia Haroon, Hamza Maqsood, and Muhammad Saleem Haider. "Viral Diseases of Maize." In Cereal Diseases: Nanobiotechnological Approaches for Diagnosis and Management, 83–96. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3120-8_5.
Full textLibbey, Jane E., and Robert S. Fujinami. "Virus-Induced Immunosuppression." In Polymicrobial Diseases, 375–87. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555817947.ch19.
Full textSklenovská, Nikola. "Monkeypox Virus." In Livestock Diseases and Management, 39–68. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2651-0_2.
Full textConference papers on the topic "Virus diseases of maize"
Nyasani, Johnson O. "Thrips as vectors of an emerging maize disease: A case study of maize chlorotic mottle virus." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.105935.
Full textMoawad, Nevien, and Abdelrahman Elsayed. "Smartphone Application for Diagnosing Maize Diseases in Egypt." In 2020 14th International Conference on Innovations in Information Technology (IIT). IEEE, 2020. http://dx.doi.org/10.1109/iit50501.2020.9299067.
Full textRedinbaugh, Margaret (Peg). "Vector-virus interactions in maize agroecosystems in East Africa." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.94561.
Full textBylici, E. N. "Field assessment of mutant maize lines for resistance to diseases." In Problems of studying the vegetation cover of Siberia. TSU Press, 2020. http://dx.doi.org/10.17223/978-5-94621-927-3-2020-7.
Full textSheikh, Md Helal, Tahmina Tashrif Mim, Md Shamim Reza, AKM Shahariar Azad Rabby, and Syed Akhter Hossain. "Detection of Maize and Peach Leaf diseases using Image Processing." In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2019. http://dx.doi.org/10.1109/icccnt45670.2019.8944530.
Full textMichtchenko, A., A. V. Budagovsky, and O. N. Budagovskaya. "Optical Diagnostics Fungal and Virus Diseases of Plants." In 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2015. http://dx.doi.org/10.1109/iceee.2015.7357968.
Full textVerma, Anil, and Biswajit Bhowmik. "Automated Detection of Maize Leaf Diseases in Agricultural Cyber-Physical Systems." In 2022 30th Mediterranean Conference on Control and Automation (MED). IEEE, 2022. http://dx.doi.org/10.1109/med54222.2022.9837122.
Full textKrishnamoorthi, M., R. S. Sankavi, V. Aishwarya, and B. Chithra. "Maize Leaf Diseases Identification using Data Augmentation and Convolutional Neural Network." In 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2021. http://dx.doi.org/10.1109/icosec51865.2021.9591792.
Full textGür, A., M. Karakoç, MF Geyik, K. Nas, R. Çevik, AJ Saraç, S. Em, and F. Erdogan. "SAT0135 Association between hepatitis c virus antibody, hepatitis b virus antigen and fibromiyalgia." In Annual European Congress of Rheumatology, Annals of the rheumatic diseases ARD July 2001. BMJ Publishing Group Ltd and European League Against Rheumatism, 2001. http://dx.doi.org/10.1136/annrheumdis-2001.594.
Full textWu, Wenjing, Yongqiang Yu, Ruochen Li, and Yehua Tang. "A Novel Virus Propagation Mathematical Model for Infectious Diseases." In 2021 5th International Conference on Communication and Information Systems (ICCIS). IEEE, 2021. http://dx.doi.org/10.1109/iccis53528.2021.9645938.
Full textReports on the topic "Virus diseases of maize"
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, July 1994. http://dx.doi.org/10.32747/1994.7568793.bard.
Full textBar-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.
Full textSchat, Karel Antoni, Irit Davidson, and Dan Heller. Chicken infectious anemia virus: immunosuppression, transmission and impact on other diseases. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7695591.bard.
Full textWhitham, Steven A., Amit Gal-On, and Tzahi Arazi. Functional analysis of virus and host components that mediate potyvirus-induced diseases. United States Department of Agriculture, March 2008. http://dx.doi.org/10.32747/2008.7591732.bard.
Full textKamp, Jan, Pieter Blok, Gerrit Polder, Jan van der Wolf, and Henk Jalink. Smart disease detection seed potatoes 2015-2018 : Detection of virus and bacterial diseases using vision and sensor technology. Wageningen: Stichting Wageningen Research, Wageningen Plant Research, Business Unit Field Corps, 2020. http://dx.doi.org/10.18174/494707.
Full textGrafi, Gideon, and Brian Larkins. Endoreduplication in Maize Endosperm: An Approach for Increasing Crop Productivity. United States Department of Agriculture, September 2000. http://dx.doi.org/10.32747/2000.7575285.bard.
Full textRong, Hong-guo, Xiao-wen Zhang, Xin Sun, Chen Shen, Wei-jie Yu, Xiao-zhen Lai, Mei Han, Hai Fang, Yu-tong Fei, and Jian-ping Liu. Empirical evidence from Chinese Medicine used for preventing monkeypox and similar contagious diseases: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0013.
Full textRahai, Hamid, and Jeremy Bonifacio. Numerical Investigations of Virus Transport Aboard a Commuter Bus. Mineta Transportation Institute, April 2021. http://dx.doi.org/10.31979/mti.2021.2048.
Full textWasi, Chantapong. Virus Diseases: The Global Challenge to Health for All. Asia-Pacific Congress of Medical Virology (2nd) Held in Bangkok, Thailand on November 17-22, 1991. Abstracts. Fort Belvoir, VA: Defense Technical Information Center, July 1992. http://dx.doi.org/10.21236/ada258158.
Full textPawlowski, Wojtek P., and Avraham A. Levy. What shapes the crossover landscape in maize and wheat and how can we modify it. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600025.bard.
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