Trends in codling moth mating disruption programs in the pear orchards of Argentina

• Autores: Cichon, Liliana
• Año de publicación: 2011
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Acta Horticulturae 909 : 453-457 (Octubre 2011)
• Materia: Residues; Monitoring; Pears; Mating Disruption; Residuos; Vigilancia; Pera; Confusión Sexual; Argentina; IPM Strategy; Mating Disruption; Resistance; Estrategia de MIP; Interrupción del Apareamiento; Resistencia
• Institución: Instituto Nacional de Tecnología Agropecuaria

Trabajo presentado al XI International Pear Symposium, Argentina, 2010
Integrated pest and disease management has currently been directed more specifically towards the implementation of programs for the production of fruit with minimum pesticide residues. This is principally attributed to the increasing limitations of the most important European supermarket chains in relation to the residue levels and the number of active ingredients present in fresh fruits at the moment of being commercialized. In this framework it is indispensable to know the pre-harvest interval (PHI) needed to avoid reaching the detectable limits of the commonly used pesticides. The design of sanitation programs becomes more complex when the protocol for fruit exports must be fulfilled to ensure the minimum probability of pest and/or diseases entering the import countries which are free from them. The new pest and disease management strategies are directed toward a lower number of pesticides applications. In order to attain this, it is recommended to apply the control practices during the first part of the crop season then eliminating sprays during the last part of the season (45 to 60 days before harvest). The pesticide application methods and the calculated volumes of application to be used determine the levels of final residues on the fruit. For this kind of strategy to be successful, besides the use of tools such as semiochemicals, cultural practices and biological control among others, it is essential to possess reliable information about the presence, abundance and the risk of attack through the different monitoring techniques and the models of prediction.
EEA Alto Valle
Fil: Cichón, Liliana Isabel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; Argentina