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Estimating Development Rate and Thermal Requirements of Bactericera Cockerelli (Hemiptera: Triozidae) Reared on Potato and Tomato by Using Linear and Nonlinear Models
- Tran, L. T., Worner, S. P., Hale, R. J., Teulon, D.A.J.
- Environmental entomology 2012 v.41 no.5 pp. 1190-1198
- Bactericera cockerelli, Hemiptera, Solanum lycopersicum, Solanum tuberosum, Triozidae, adults, eggs, heat sums, immatures, leaves, linear models, nonlinear models, oviposition, pests, photoperiod, potatoes, rearing, temperature, tomatoes
- The temperature-dependent development of tomato psyllid (also called potato psyllid), Bactericera cockerelli (Sulc), was studied in the laboratory at seven constant temperatures (8, 10, 15, 20, 23, 27, and 31°C), 50–60% RH, and a photoperiod of 16:8 (L:D) h on leaves of whole potato (Solanum tuberosum L.) and tomato (Solanum lycopersicum L.) plants. Developmental time in days for immature stages and total development (egg to adult) on both host species were inversely proportional to temperature between 8 and 27°C but increased at 31°C One linear and two nonlinear models were fitted to the data. The lower developmental thresholds, calculated using the linear model for egg, total nymph, and total development (from oviposition to adult emergence) were 7.9, 4.2, and 7.1°C (reared on potato) and 7.2,5.3, and 7.5°C (reared on tomato), respectively. The thermal constant (K) for total development was 358 (reared on potato), and 368 (reared on tomato) degree-days (DD). Two nonlinear models, Briere and Lactin, fit the data well as measured by goodness-of-fit criteria, the residual sum of square (RSS) and Akaike information criterion (AIC). Temperature threshold parameters for these nonlinear models (T₀, Tₒₚₜ, and Tₘₐₓ) were estimated for eggs, total nymphal stages, and total development time (egg to adult). The Briere model is highly recommended for the description of temperature-dependent development of tomato psyllid. Results from this study will provide basic information on the biology of tomato psyllid and have potential for the development of predictive models of the seasonal progress of this invasive pest.