Estimating the global severity of potato late blight with GIS‐linked disease forecast models
By Robert J. Hijmans, G. Forbes, T. Walker. 2000
155 citations recorded by the source corpus.
Subfields: Cell Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/b71968cbbe25ca6ea8f6cb3b66b1054b1c3a3da2
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In Plant Science
Citations in the corpus
- A way forward on adaptation to climate change in Colombian agriculture: perspectives towards 2050 (2012, background): “5 climate change is expected to cause shifts in the geographic distribution and incidence of 153 pests and diseases (Gregory et al., 2009; Hijmans et al., 2000; Ramirez-Villegas et al., 154 2011b) and extreme weather events (IPCC, 2007; Timmermann et al.”
- Evaluation of biocontrol preparations and plant extracts for the control of Phytophthora infestans on potato leaves (2005, background): “Therefore, for further studies on the field efficacy of the tested products, a combination with late blight forecasting models (Hijmans et al., 2000; Steenblock and Forrer, 2002) is essential.”