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Replication data for: Potato tuber moth, Phthorimaea operculella (Zeller 1873)

International Potato Center Dataverse OAI Archive

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Title Replication data for: Potato tuber moth, Phthorimaea operculella (Zeller 1873)
 
Identifier https://doi.org/10.21223/P3/KXKQEF
 
Creator Kroschel, Jurgen
Sporleder, Marc
Carhuapoma, Pablo
 
Publisher International Potato Center
 
Description The development, mortality of immature life stages, and reproduction of P. operculella were studied at constant temperatures ranging from 10 to 32°C son its host potato (Solanum tuberosum L.). Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator (Akaike 1973) or other built in statistics (R2, Adjusted R2, MSE). The development of the P. operculella phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/ (Sporleder et al. 2013, Tonnang et al. 2013).
 
Subject Agricultural Sciences
Earth and Environmental Sciences
Phthorimaea operculella
Development time
Reproduction
Longevity
Temperature-Dependent Phenology Model
Non-linear equation
Life-table parameters
Pest risk assessment
 
Language English
 
Contributor Administrator, CIP
International Potato Center
CGIAR Research Program on Roots, Tubers and Bananas (RTB)
Federal Ministry of Cooperation and Development (BMZ), Germany
(PI) Jurgen Kroschel
Project: Predicting climate change-induced vulnerability of African agricultural systems to major insect pests through advanced insect phenology modeling and decision aid development for adaptation planning
 
Type txt, asc