2006
DOI: 10.1016/j.compag.2006.03.002
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AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA

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Cited by 142 publications
(64 citation statements)
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“…It is also due to variables existing in the field and not present in controlled condition studies, like fruit in different stages and physiological conditions (6). However, knowledge of infection and colonization processes of Colletotrichum spp., as well as of the factors that influence such processes, is a pre-requisite for the development of effective control strategies, like a warning system based on weather conditions (10).…”
Section: Effect Of Temperature Wetness Duration and Cultivar On The mentioning
confidence: 99%
“…It is also due to variables existing in the field and not present in controlled condition studies, like fruit in different stages and physiological conditions (6). However, knowledge of infection and colonization processes of Colletotrichum spp., as well as of the factors that influence such processes, is a pre-requisite for the development of effective control strategies, like a warning system based on weather conditions (10).…”
Section: Effect Of Temperature Wetness Duration and Cultivar On The mentioning
confidence: 99%
“…The former are members of the SECC research team while the latter are engaged through planned outreach, including monthly video conferences, one-on-one meetings, training workshops to gain confidence in climate decision tool use and to identify opportunities for their application, and traditional extension activities (e.g., commodity meetings, field days) (Fraisse et al 2005). SECC leverages the trust engendered by Cooperative Extension's long service to the agricultural community and its access to local knowledge and experience to build support for its AgClimate online decision-support tool (available online at http://www.agclimate.org; see Fraisse et al 2006). Direct engagement with stakeholders provides feedback to improve the design of the tool and to enhance climate forecast communication (Breuer et al 2007).…”
Section: B Risas and User-driven Researchmentioning
confidence: 99%
“…Thus, it is difficult to determine the in-field effects of irrigation management strategies including adoption of PI technologies on crop yield and other soil management practices. In contrast, the use of crop simulation models in crop production, irrigation management and climate change impacts has proven to be invaluable in improving knowledge of the functioning of agricultural systems (Casadesús et al 2012;Fraisse et al 2006;Thorp et al 2008). In this context, the Food and Agriculture Organization (FAO) has developed AquaCrop ), a crop water productivity model focused on simulating water-limited attainable crop yield.…”
Section: Introductionmentioning
confidence: 99%