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Modelado prediccion enfermedades cultivos - edUTecNe ...

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<strong>Modelado</strong> para la predicción de <strong>enfermedades</strong> en <strong>cultivos</strong> de alto valor comercial<br />

ABSTRACT<br />

The construction of mathematical models to predict the behavior of plant<br />

diseases requires the use of methods for collecting data related to the disease,<br />

the host and the environment. The severity of leaf spot, caused primarily by the<br />

fungus Altenaria tenuissima, highbush blueberry plantations (cultivar "O'Neal")<br />

was evaluated in three locations: San Pedro (S 33º 43'- W 059º 41'), Concordia<br />

(S 31º 24'- W 058º 02') and Gualeguaychú (S 33º 01'- W 058º 31'), epidemic<br />

cycles during spring-summer-autumn 2008/09 and 2009/10. Linearized forms of<br />

the Logistic and Gompertz, adjusted appropriately (R 2 >0.66 to 0.94) for San<br />

Pedro and Concordia in both cycles and Gualeguaychú only for 2008/09. Since<br />

the epidemic progress curves adjusted, it was estimated the severity and rate of<br />

epidemic increase daily (TId%) every 14 days (n=65). TId% values, according to<br />

thresholds, were categorized in stark binary (TId%>=0.077) and moderate to nil<br />

(TId%=0.101), moderate (TId%=0.029) and slight to nil (TId%

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