2020
DOI: 10.1007/s00484-020-01880-6
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Potential occurrence of Puccinia sorghi in corn crops in Paraná, under scenarios of climate change

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Cited by 10 publications
(7 citation statements)
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“…However, worldwide there are currently only four computer simulation studies available that project an altered risk of diseases in maize based on a modelling approach that is linked to a climate change scenario; two of these address Brazil (Ferreira & Miranda, 2020; Moraes et al, 2011), one addresses the Philippines (Salvacion et al, 2015), and one the entire globe (Ramirez‐Cabral et al, 2017). Fortunately, the latter simulation study also considers Europe.…”
Section: Change In the Relative Importance Of Fungal Leaf Diseasesmentioning
confidence: 99%
“…However, worldwide there are currently only four computer simulation studies available that project an altered risk of diseases in maize based on a modelling approach that is linked to a climate change scenario; two of these address Brazil (Ferreira & Miranda, 2020; Moraes et al, 2011), one addresses the Philippines (Salvacion et al, 2015), and one the entire globe (Ramirez‐Cabral et al, 2017). Fortunately, the latter simulation study also considers Europe.…”
Section: Change In the Relative Importance Of Fungal Leaf Diseasesmentioning
confidence: 99%
“…The climatic risk for the occurrence of plant diseases has been studied for several pathosystems, such as common corn rust (Ferreira and Miranda 2020) Air temperature, relative humidity, and rainfall are the main environmental drivers for determining the risks for plant diseases (Aparecido and Rolim 2020; Beruski et al 2019). However, these factors present a high seasonal and interannual variability, imposing different risk levels for diseases occurrence.…”
Section: Introductionmentioning
confidence: 99%
“…The ENSO in uence was determined by Two-One-Sided-Tests (TOST), using con dence intervals, seeking to identify evidence of the in uence of the difference between El Niño (EN) and La Niña (LN), not considering the transition phases. Sentelhas et al (2016) considered the averages of sugarcane orange rust severity in each ENOS phase to identify how they in uence the development of the disease. In such study, Sentelhas et al (2016) estimated the disease severity and calculated an agroclimatic favorability index, using empirical weighting factors.…”
Section: Introductionmentioning
confidence: 99%
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