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Replication data for: Phaedrotoma scabriventris (Nixon 1955)

International Potato Center Dataverse OAI Archive

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Title Replication data for: Phaedrotoma scabriventris (Nixon 1955)
 
Identifier https://doi.org/10.21223/P3/KGIUYU
 
Creator Mujica, Norma
Valencia, Claudia
Carhuapoma, Pablo
Kroschel, Jurgen
 
Publisher International Potato Center
 
Description The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of the potato tuber moth parasitoid Phaedrotoma scabriventris was studied in controlled incubator chambers at constant temperatures from 10º to 30ºC on its host Phthorimaea operculella. 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 or other built in statistics (R2, Adjusted R2, MSE). The development of the Phaedrotoma scabriventris 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/
 
Subject Agricultural Sciences
Earth and Environmental Sciences
Phaedrotoma scabriventris
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
 
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