Relevant bibliographies by topics / Downy mildew diseases. Cabbage

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  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'Downy mildew diseases. Cabbage'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Downy mildew diseases. Cabbage"

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Vuković, Slavica, Dragana Šunjka, Antonije Žunić, and Dragana Bošković. "Plant protection products in root vegetable." Biljni lekar 48, no. 6 (2020): 654–68. http://dx.doi.org/10.5937/biljlek2006654v.

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The production, value and quality of root vegetables are endangered by numerous phytopathogenic fungi and pests. Numerous causal agents cause economically significant diseases of root vegetables like carrot leaf blight and black rot of carrots (Alternaria dauci and Alternaria radicina), powdery mildew of carrot and sugar beet (Erysiphe heraclei and Erysiphe betae), Cercospora leaf spot of carrot (Cercospora carotae), black blight (Septoria apiicola), leaf bright parsley (Septo-ria petroselini), downy mildew (Peronospora farinosa f.sp. betae and P. farinosa f.sp. spinaciae), rust (Puccinia spp.
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Yu, Ling Chun, and Nai Qin Zhang. "A Study on Physical Technology of Induced-Resistance for Chinese Cabbages." Advanced Materials Research 159 (December 2010): 23–28. http://dx.doi.org/10.4028/www.scientific.net/amr.159.23.

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When magnetic fields with the magnetic induction intensity of 0.4T, 0.8T, 1.2T, 1.6T and 2.0T are used to deal with germinating cabbage seeds for 5min, 10min, 15min and 20min separately, the results show that the appropriate combination of field strength and time can activate peroxidase (POD) and polyphenol oxidase(PPO) apparently, and decrease the content of MDA at the same time. Through the downy mildew inoculation tests, the magnetic field effects on the induced-resistance of Chinese cabbage are significantly lower than control, indicating that magnetic field treatment improve the Chinese c
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Zakari, S. M., A. A. Aliko, H. Haruna, and A. Muazu. "Evaluation of qualitative phytochemicals and antifungal activity of aqueous leaf extract of Senna tora on downy mildew of cabbage." Bayero Journal of Pure and Applied Sciences 11, no. 1 (2018): 15–19. http://dx.doi.org/10.4314/bajopas.v11i1.3.

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This study was embarked upon to evaluate the efficacy of aqueous extracts of Senna tora leaf against Perenospora parasitica, causing downy mildew on cabbage. Phytochemical analysis of the leaf extracts revealed the presence of some secondary metabolites (Tannins, Saponins, Flavonoid, Glycosides, Alkaloids, Phenolic compounds and Carbohydrates) which have been reported to have antimicrobial effects. Assays were performed using extract concentrations of 1000, 500, 250, 125 mg/ml by agar well diffusion technique. Results obtained, revealed a significant difference in diameter of mycelial zone of
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Liu, Yan, Dalong Li, Na Yang, et al. "Genome-Wide Identification and Analysis of CC-NBS-LRR Family in Response to Downy Mildew and Black Rot in Chinese Cabbage." International Journal of Molecular Sciences 22, no. 8 (2021): 4266. http://dx.doi.org/10.3390/ijms22084266.

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The nucleotide-binding site–leucine-rich repeat (NBS–LRR) gene family is the largest group of plant disease resistance (R) genes widespread in response to viruses, bacteria, and fungi usually involved in effector triggered immunity (ETI). Forty members of the Chinese cabbage CC type NBS–LRR family were investigated in this study. Gene and protein characteristics, such as distributed locations on chromosomes and gene structures, were explored through comprehensive analysis. CC–NBS–LRR proteins were classified according to their conserved domains, and the phylogenetic relationships of CC–NBS–LRR
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MIRZAHOSEIN-TABRIZI, Maryam. "Identification of Downy Mildew Resistance Loci in Sunflower Germplasm." Notulae Scientia Biologicae 9, no. 4 (2017): 515–19. http://dx.doi.org/10.15835/nsb9410133.

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Downy mildew caused by Plasmopara halstedii is one of the most economically important fungal diseases on sunflower (Helianthus annuus). To date, several downy mildew resistance genes called Pl genes have been reported on sunflower genetic map. Previous findings have confirmed that Iranian sunflower germplasms are harbouring Pl resistance genes that may be used to control downy mildew. In the current study, there were investigated the Pl5 and Pl16 downy mildew resistance genes in 51 inbred lines of Iranian sunflower, using PCR-based method. Fifteen differential lines carrying Pl5 and Pl16 downy
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Gent, David H., Mark E. Nelson, Gary G. Grove, Walter F. Mahaffee, William W. Turechek, and Joanna L. Woods. "Association of Spring Pruning Practices with Severity of Powdery Mildew and Downy Mildew on Hop." Plant Disease 96, no. 9 (2012): 1343–51. http://dx.doi.org/10.1094/pdis-01-12-0084-re.

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Downy mildew (caused by Pseudoperonospora humuli) and powdery mildew (caused by Podosphaera macularis) are important diseases of hop in the Pacific Northwest United States, and cultural practices may affect the severity of both diseases. The association of spring pruning quality and timing with severity of downy mildew and powdery mildew was assessed through analysis of survey data collected from commercial hop yards in Oregon and Washington. Among 149 hop yards surveyed, the most common pruning method was chemical desiccation (48% of yards), mechanical pruning (23%), or a combination of these
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Subbarao, K. V., J. C. Hubbard, and K. F. Schulbach. "Comparison of Lettuce Diseases and Yield Under Subsurface Drip and Furrow Irrigation." Phytopathology® 87, no. 8 (1997): 877–83. http://dx.doi.org/10.1094/phyto.1997.87.8.877.

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Subsurface drip and furrow irrigation were compared on lettuce (Lactuca sativa) cvs. Salinas and Misty Day for yield and incidence and severity of three important diseases of lettuce in the Salinas Valley, CA. Experiments were conducted between 1993 and 1995 during the spring and fall seasons. The diseases examined included lettuce drop (Sclerotinia minor), downy mildew (Bremia lactucae), and corky root (Rhizomonas suberifaciens). Replicated plots of subsurface drip and furrow irrigation were arranged in a randomized complete-block design. All plants were inoculated with S. minor at the initia
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Álvarez-Romero, Pablo Israel, Virginia Mariño-Frías, Carlos Francisco Carpio-Coba, and Ana Francisca Ferreira-Ferreira. "Elaboração e validação de diagramas de área padrão (DAP) para avaliação da severidade do míldio (Peronospora variabilis Gäum) em quinoa (Chenopodium quinoa Willd)." Revista Agraria Academica 4, no. 4 (2021): 43–54. http://dx.doi.org/10.32406/v4n4/2021/43-54/agrariacad.

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The quinoa downy mildew is one of the major diseases affecting quinoa in Ecuador. Considering the lack of standardized methods to quantify this disease on leaves, the aim of this study was to develop a standard area diagram to quantify the severity of the quinoa downy mildew. To standardize the assessment, we developed two sets of standard area diagrams. To validate the diagram, twelve raters estimated the severity of 50 scanned leaf images at different severity levels. The proposed diagram with linear increments provided good levels of accuracy and precision, constituting thus a useful tool i
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Shidfar, Mina, Murat Akkurt, Arif Atak, Ali Ergül, and Gökhan Söylemezoğlu. "EVALUATION OF GRAPEVINE RESISTANCE TO DOWNY AND POWDERY MILDEW IN ‘REGENT’ × ‘BOĞAZKERE’ HYBRID POPULATION SEGREGATING FOR RESISTANCE GENES." Acta Scientiarum Polonorum Hortorum Cultus 18, no. 1 (2019): 181–88. http://dx.doi.org/10.24326/asphc.2019.1.18.

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Downy (Plasmopara viticola) and powdery mildew (Erysipha necator) is known as one of the most mischievous diseases for viticulture in Turkey as well as in the world. Therefore breeding studies play an important role for development of new cultivars resistant against fungal diseases. The aim of this research was to develop new F1 population and evaluate the resistance of hybrids to powdery and downy mildew via marker assisted selection (MAS). Resistant ‘Regent’ and susceptible ‘Boğazkere’ varieties were used to obtain hybrid population. A total of 6 markers belonging to 3 genomic regions were u
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Purayannur, Savithri, Timothy D. Miles, David H. Gent, Stacey Pigg, and Lina M. Quesada-Ocampo. "Hop Downy Mildew Caused by Pseudoperonospora humuli: A Diagnostic Guide." Plant Health Progress 21, no. 3 (2020): 173–79. http://dx.doi.org/10.1094/php-10-19-0072-dg.

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Downy mildew, caused by Pseudoperonospora humuli, is one of the most destructive diseases of hop. The purpose of this article is to provide an overview of the pathogen, the host range and geographical distribution, and the means to diagnose the disease. It is important to be able to diagnose downy mildew and distinguish it from other diseases for the timely application of suitable management practices. The procedures for laboratory propagation and maintenance of isolates are also presented.
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Dissertations / Theses on the topic "Downy mildew diseases. Cabbage"

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Matheron, M. E., J. C. Matejka, and M. Porchas. "Field Testing of Potential New Fungicides for Control of Downy Mildew of Broccoli, Cabbage, and Cauliflower, 1993." College of Agriculture, University of Arizona (Tucson, AZ), 1994. http://hdl.handle.net/10150/214717.

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Downy mildew of broccoli, cabbage, and cauliflower is caused by the plant pathogenic fungus Peronospora parasitica. Cool damp weather with high humidity is highly favorable for sporulation, dissemination of spores, and infection by this pathogen. The severity of disease is affected by the duration of these weather conditions favorable for disease development. Potential new fungicides were evaluated for disease control in a field trial conducted in the winter of 1992-93. For broccoli, no significant differences in disease severity were detected among treatments. On the other hand, Microthiol an
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Butler, M. D., and J. A. Davis. "Broccoli Downy Mildew Trials." College of Agriculture, University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/214161.

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Butler, Marvin. "Broccoli Downy Mildew Tolerance Trials." College of Agriculture, University of Arizona (Tucson, AZ), 1991. http://hdl.handle.net/10150/221456.

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Matheron, Michael E. "Biology and Management of Downy Mildew of Lettuce." College of Agriculture, University of Arizona (Tucson, AZ), 2015. http://hdl.handle.net/10150/579516.

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Matheron, M. E., and J. C. Matejka. "Downy Mildew of Broccoli - Promising New Fungicides for Disease Control." College of Agriculture, University of Arizona (Tucson, AZ), 1987. http://hdl.handle.net/10150/221432.

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Downy mildew of broccoli, caused by the fungus Peronospora parasitica, is a perennial disease problem affecting winter broccoli production in Arizona. During 1985-87, potential systemic fungicides were evaluated in the field for disease control. In the 1985-86 season, a period of high disease incidence, lesion development was significantly reduced by fosetyl-Al (44 %), phosphorous acid (42 %), oxadixyl + mancozeb (35 %), chlorothalonil (33 %), metalaxyl + mancozeb (30 %) and metalaxyl + chlorothalonil (28 %). During the 1986 -87 growing season, disease incidence was low and lesion development
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MacManus, Gerard P. V. "Development and extension of a disease forecasting and chemical control system for onion downy mildew /." St. Lucia, Qld, 2000. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16115.pdf.

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Gray, Alexander Bruce. "Host-parasite relationships in tissue cultures of sunflower and downy mildew." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=72834.

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Matheron, Michael E., and Martin Porchas. "Downy Mildew of Broccoli: Comparison of Chemical Management Tools in 1997." College of Agriculture, University of Arizona (Tucson, AZ), 1997. http://hdl.handle.net/10150/221638.

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Downy mildew of broccoli is caused by the plant pathogenic fungus Peronospora parasitica. Cool damp weather with high humidity is highly favorable for sporulation, dissemination of spores, and infection by this pathogen. The severity of disease is affected by the duration of weather conditions favorable for disease development. Potential new fungicides were evaluated for disease management in a 1997 field trial. A moderate degree of downy mildew developed by crop maturity. All tested compounds except Trilogy provided significant reductions in the severity of disease compared to no treatment at
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Williams, Mia Gabrielle. "Impact of environmental conditions on the infection behaviour of Western Australian strains of Plasmopara viticola, causal agent of downy mildew in grapevines." University of Western Australia. Soil Science and Plant Nutrition Discipline Group, 2006. http://theses.library.uwa.edu.au/adt-WU2006.0035.

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Downy mildew, caused by the biotrophic Oomycete Plasmopara viticola, is one of the most important diseases of grapevines world wide. It is particularly destructive in temperate viticultural regions that experience warm wet conditions during the vegetative growth of the vine (Wong et al., 2001). The disease is not normally a problem in mediterranean climates where the growing season tends to be hot and dry (Mullins et al., 1992; Sivasithamparam, 1993). Grape downy mildew is however a major disease in Australian viticulture (McLean et al., 1984; Magarey et al., 1991). Grape downy mildew was firs
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Matheron, Michael E., and Martin Porchas. "Downy and Powdery Mildew of Lettuce: Comparison of Chemical Management Tools in 1997." College of Agriculture, University of Arizona (Tucson, AZ), 1997. http://hdl.handle.net/10150/221600.

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Downy and powdery mildew are caused by the plant pathogenic fungi Bremia lactucae and Erysiphe cichoracearum, respectively. Cool and moist environmental conditions favor development of downy mildew, while warmer and dry weather is conducive for development of powdery mildew. Potential new fungicides were evaluated for management of these diseases in 1997. A very low level of downy mildew occurred during this trial; however, all treatments significantly reduced the number of leaf lesions compared to nontreated lettuce plants. Powdery mildew was quite intense at crop maturity and was significant
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Books on the topic "Downy mildew diseases. Cabbage"

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Johnson, Dennis A. Alfalfa downy mildew. Cooperative Extension, College of Agriculture and Home Economics, Washington State University, 1989.

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Johnson, Dennis A. Downy mildew of onion. Cooperative Extension, College of Agriculture & Home Economics, Washington State University, 1985.

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Downy Mildews Workshop (2003 Christchurch, N.Z.). Advances in downy mildew research. Kluwer Academic Publishers, 2004.

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Downy Mildew Workshop (1998 Edinburgh, Scotland). Advances in downy mildew research. Kluwer Academic, 2002.

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Saharan, G. S. Monograph on downy mildew of crucifers. Saskatoon Research Centre, Research Branch, Agriculture and Agri-Food Canada, 1997.

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Stegmark, Rolf. Breeding for partial resistance to downy mildew in peas. Dept. of Plant Breeding Research, Swedish University of Agricultural Sciences, 1992.

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International Workshop on Powdery & Downy Mildew in Grapevine (4th 2002 Napa, Calif.). Proceedings of the 4th International Workshop on Powdery & Downy Mildew in Grapevine. Dept. of Plant Pathology, University of California, Davis, 2002.

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International Workshop on Grapevine Downy Mildew Modeling (1st 26-30 August, 1991 Geneva, N.Y.). Proceedings of the first International Workshop on Grapevine Downy Mildew modeling: Cornell University, New York State Agricultural Experiment Station, Geneva, New York, USA. Dept. of Plant Pathology, NYS Agricultural Experiment Station, 1994.

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P.T.N. Spencer-Phillips (Editor), U. Gisi (Editor), and A. Lebeda (Editor), eds. Advances in Downy Mildew Research. Springer, 2002.

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Spencer-Phillips, Peter. Advances in Downy Mildew Research: Volume 2. Springer, 2010.

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Book chapters on the topic "Downy mildew diseases. Cabbage"

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Gilles, T. "Forecasting Downy Mildew Diseases." In Advances in Downy Mildew Research — Volume 2. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2658-4_2.

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Khare, C. P., J. N. Srivastava, P. K. Tiwari, A. Kotesthane, and V. S. Thrimurthi. "Downy Mildew of Cucurbits and Their Management." In Recent Advances in the Diagnosis and Management of Plant Diseases. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2571-3_5.

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Basandrai, Ashwani K., and Daisy Basandrai. "Brown Stripe Downy Mildew of Maize and Its Integrated Management." In Diseases of Field Crops: Diagnosis and Management. Apple Academic Press, 2020. http://dx.doi.org/10.1201/9780429321849-6.

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Lamberth, Clemens. "Carboxylic Acid Amide Fungicides for the Control of Downy Mildew Diseases." In Bioactive Carboxylic Compound Classes: Pharmaceuticals and Agrochemicals. Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527693931.ch30.

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LEU, L. S., and B. T. EGAN. "Downy mildew." In Diseases of Sugarcane. Elsevier, 1989. http://dx.doi.org/10.1016/b978-0-444-42797-7.50011-9.

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Topolovec-Pintarić, Snježana, and Katarina Martinko. "Downy Mildew of Basil: A New Destructive Disease Worldwide." In Plant Diseases - Current Threats and Management Trends. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.91903.

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"Downy Mildew of Cucurbits and Their Management ........................ and V. S. Thrimurthi." In Crop Diseases and Their Management. Apple Academic Press, 2016. http://dx.doi.org/10.1201/b19891-20.

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Ghaiwat, Savita N., and Parul Arora. "Cotton Leaf Disease Detection by Feature Extraction." In Research Advances in the Integration of Big Data and Smart Computing. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8737-0.ch005.

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Cotton leaf diseases have occurred all over the world, including India. They adversely affect cotton quality and yield. Technology can help in identifying disease in early stage so that effective treatment can be given immediately. Now, the control methods rely mainly on artificial means. This paper propose application of image processing and machine learning in identifying three cotton leaf diseases through feature extraction. Using image processing, 12 types of features are extracted from cotton leaf image then the pattern was learned using BP Neural Network method in machine learning process. Three diseases have been diagnosed, namely Powdery mildew, Downy mildew and leafminer. The Neural Network classification performs well and could successfully detect and classify the tested disease.
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Conference papers on the topic "Downy mildew diseases. Cabbage"

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Padol, Pranjali B., and S. D. Sawant. "Fusion classification technique used to detect downy and Powdery Mildew grape leaf diseases." In 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC). IEEE, 2016. http://dx.doi.org/10.1109/icgtspicc.2016.7955315.

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Badyanov, E. V., and S. A. Ramazanova. "THE TESTING OF SSR MARKERS OF GENES CONTROLLING RESISTANCE TO P. HALSTEDII AND THE SELECTION OF OPTIMAL CONDITIONS FOR PCR." In 11-я Всероссийская конференция молодых учёных и специалистов «Актуальные вопросы биологии, селекции, технологии возделывания и переработки сельскохозяйственных культур». V.S. Pustovoit All-Russian Research Institute of Oil Crops, 2021. http://dx.doi.org/10.25230/conf11-2021-19-24.

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Downy mildew is one of the most harmful diseases of sunflower. The most effective measure of this disease control is the development of resistant varieties and hybrids. The use of molecular markers, in particular DNA markers, allows to control the presence of dominant resistance genes at each stage of breeding. We carried out the selection of the optimal method for the isolation of sunflower DNA and the selection of the optimal temperature regimes of amplification for 10 pairs of primers developed to mark the Pl6, Pl8, Pl13, and PlArg genes. Preliminary, we identified 13 allelic variants that
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BĂLĂCEANU, Cristina, Ana-Maria DRĂGULINESCU, Sabina BOSOC, Oana ORZA, and George SUCIU. "Monitoring the Vineyard Health Using Internet of Things Sensors in Smart Agriculture – a Technical Report." In Air and Water – Components of the Environment 2021 Conference Proceedings. Casa Cărţii de Ştiinţă, 2021. http://dx.doi.org/10.24193/awc2021_12.

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In the last decade, massive implementation of detection devices that use the Internet of Things (IoT) has penetrated considerably in all areas, and the agricultural field is no exception. The article aims to provide an integrated vineyard management solution based on the Internet of Things technology in the Smart Viticulture domain. The monitored parameters for Smart Agriculture are the air temperature and humidity and soil and air humidity, which have a direct impact on grapes. The study region is at the viticulture station and the study period was from June to September in two the year 2019-
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