Open Access
| Issue |
BIO Web Conf.
Volume 50, 2022
9th International Workshop on Grapevine Downy and Powdery Mildews (GDPM 2022)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 3 | |
| Section | Disease Management (Organic and IPM) | |
| DOI | https://doi.org/10.1051/bioconf/20225003002 | |
| Published online | 05 August 2022 | |
- Abbott W. S. (1925). A method of computing the effectiveness of an insecticide. J. econ. Entomol, 18(2): 265-267. [CrossRef] [Google Scholar]
- Ahmed M. I. and El-Hassawy M. M. (2021). Effect of Temperature, Relative Humidity and Some Systemic Fungicides on Cucumber Downy Mildew and Certain Crop Parameters. Egyptian Journal of Phytopathology, 49(1): 63-74. [CrossRef] [Google Scholar]
- Bleyer G., Lösch F., Schumacher S. and Fuchs R. (2020). Together for the Better: Improvement of a Model Based Strategy for Grapevine Downy Mildew Control by Addition of Potassium Phosphonates. Plants, 9(6): 710. [CrossRef] [Google Scholar]
- Caffi T. and Rossi V. (2018). Fungicide models are key components of multiple modelling approaches for decision-making in crop protection. Phytopathologia Mediterranea, 57(1): 153-169. [Google Scholar]
- Claassen B., Wolfenbarger S. N. and Gent D. H. (2021). Fungicide Physical Mode of Action: Impacts on Suppression of Hop Powdery Mildew. Plant disease(ja). [Google Scholar]
- Dagostin S., Schärer H.-J., Pertot I. and Tamm L. (2011). Are there alternatives to copper for controlling grapevine downy mildew in organic viticulture? Crop Protection, 30(7): 776-788. [CrossRef] [Google Scholar]
- Gessler C., Pertot I. and Perazzolli M. (2011). Plasmopara viticola: a review of knowledge on downy mildew of grapevine and effective disease management. Phytopathologia Mediterranea, 50(1): 3-44. [Google Scholar]
- Gisi U. and Sierotzki H. (2008). Fungicide modes of action and resistance in downy mildews. In: (eds). The Downy Mildews-Genetics, Molecular Biology and Control: Springer, pp. 157-167. [CrossRef] [Google Scholar]
- Lorenz D., Eichhorn K., Bleiholder H., Klose R., Meier U. and Weber E. (1995). Growth Stages of the Grapevine: Phenological growth stages of the grapevine (Vitis vinifera L. ssp. vinifera)—Codes and descriptions according to the extended BBCH scale. Australian Journal of Grape and Wine Research, 1(2): 100-103. [CrossRef] [Google Scholar]
- Massi F., Torriani S. F., Borghi L. and Toffolatti S. L. (2021). Fungicide resistance evolution and detection in plant pathogens: Plasmopara viticola as a case study. Microorganisms, 9(1): 119. [CrossRef] [PubMed] [Google Scholar]
- NCBI (2021). PubChem Compound Summary for CID 8607, Folpet. Retrieved December 14, 2021 from https://pubchem.ncbi.nlm.nih.gov/compound/Folpet. [Google Scholar]
- Pertot I., Caffi T., Rossi V., Mugnai L., Hoffmann C., Grando M., Gary C., Lafond D., Duso C. and Thiery D. (2017). A critical review of plant protection tools for reducing pesticide use on grapevine and new perspectives for the implementation of IPM in viticulture. Crop Protection, 97: 70-84. [CrossRef] [Google Scholar]
- Romanazzi G., Mancini V., Feliziani E., Servili A., Endeshaw S. and Neri D. (2016). Impact of alternative fungicides on grape downy mildew control and vine growth and development. Plant disease, 100(4): 739-748. [CrossRef] [PubMed] [Google Scholar]
- Rossi V., Caffi T., Giosuè S. and Bugiani R. (2008). A mechanistic model simulating primary infections of downy mildew in grapevine. Ecological modelling, 212(3-4): 480-491. [CrossRef] [Google Scholar]
- Rossi V., Salinari F., Poni S., Caffi T. and Bettati T. (2014). Addressing the implementation problem in agricultural decision support systems: the example of vite. net®. Computers and Electronics in Agriculture, 100: 88-99. [CrossRef] [Google Scholar]
- Rossi V., Sperandio G., Caffi T., Simonetto A. and Gilioli G. (2019). Critical success factors for the adoption of decision tools in IPM. Agronomy, 9(11): 710. [CrossRef] [Google Scholar]
- Szkolnik M. (1978). Techniques involved in greenhouse evaluation of deciduous tree fruit fungicides. Annual review of phytopathology, 16(1): 103-129. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.