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Revista mexicana de fitopatología
On-line version ISSN 2007-8080Print version ISSN 0185-3309
Abstract
CORIA-CONTRERAS, Juan José et al. Applied regional epidemiology to inductive characterization and forecasting of blue agave gray-spot (Cercospora agavicola) in Jalisco, Mexico. Rev. mex. fitopatol [online]. 2019, vol.37, n.1, pp.71-94. Epub Aug 21, 2020. ISSN 2007-8080. https://doi.org/10.18781/r.mex.fit.1809-4.
Cercospora agavicola, causal agent of the gray spot of blue agave (Agave tequilana), is a regulated fungus under official control in states under the Denomination of Origin of Tequila (DOT). This work was carried out in Jalisco, Mexico, the main DOT region, to determine the spatial-temporal epidemic inductivity of the fungus and to develop stochastic models to forecast the gray spot in order to support regional preventive programs. Monthly, from October 2016 to December 2017 the severity, incidence and number of diseased plants were evaluated in 41 plots established in commercial agave plantations of 3-4 years of age selected with weighted risk criteria in Los Altos (20), Valleys (11) and South (10). The regional epidemic inductivity of C. agavicola was heterogeneous with a greater risk for at least nine counties of Los Altos. However, low epidemic rates (0.0008-0.006 units week-1), strong restriction spread (1-4 plants), reduced annual increment of incidence (0-32 plants / 0.5 ha) and no spore capture evidenced the low parasitic fitness and reduced fungus epidemic potential. Consequently, limited predictive capacity was found even with the best goodness of fit models (R2 adj 0.51-0.60). The favorable hours (HFav) of January-April, with respect to infection, was consistent among models, so it can be used as preventive algorithm in SIVEA (www.sivea.org.mx). The regional losses were estimated between 237 thousand US dollars and 98.01 MDD. Cercosporin, a toxin associated with Cercospora genus, may be involved in atypical linear temporal progress and should be integrated in future research.
Keywords : Losses; drone; toxin,Weibull; NCBI; AUDPC; SIVEA.