Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system
Article
Article Title | Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system |
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ERA Journal ID | 5827 |
Article Category | Article |
Authors | El Jarroudi, Moussa (Author), Kouadio, Louis (Author), Giraud, Frederic (Author), Delfosse, Philippe (Author) and Tychon, Bernard (Author) |
Journal Title | Environmental Science and Pollution Research |
Journal Citation | 21 (7), pp. 4809-4818 |
Number of Pages | 10 |
Year | 2014 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 0944-1344 |
1614-7499 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s11356-014-2557-9 |
Web Address (URL) | https://link.springer.com/article/10.1007/s11356-014-2557-9 |
Abstract | A decision support system (DSS) involving an approach for predicting wheat leaf rust (WLR) infection and progress based on night weather variables (i.e., air temperature, relative humidity, and rainfall) and a mechanistic model for leaf emergence and development simulation (i.e., PROCULTURE) was tested in order to schedule fungicide time spray for controlling leaf rust progress in wheat fields. Experiments including a single fungicide treatment based upon the DSS along with double and triple treatment were carried out over the 2007–2009 cropping seasons in four representative Luxembourgish wheat field locations. The study showed that the WLR occurrences and severities differed according to the site, cultivar, and year. We also found out that the single fungicide treatment based on the DSS allowed a good protection of the three upper leaves of susceptible cultivars in fields with predominant WLR occurrences. The harvested grain yield was not significantly different from that of the double and triple fungicide-treated plots (P<0.05). Such results could serve as basis or be coupled to cost effective and environmentally friendly crop management systems in operational context. |
Keywords | fungicide treatment; night weather; leaf rust; decision support system |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 300208. Farm management, rural management and agribusiness |
300207. Agricultural systems analysis and modelling | |
300409. Crop and pasture protection (incl. pests, diseases and weeds) | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Liege, Belgium |
Staphyt, France | |
Luxembourg Institute of Science and Technology, Luxembourg | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2qy7/brown-rust-disease-control-in-winter-wheat-ii-exploring-the-optimization-of-fungicide-sprays-through-a-decision-support-system
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