AI Article Synopsis
- The green mirid bug Apolygus lucorum is a significant pest in northern China, affecting various crops, and its diapause (a period of suspended development) induction is tied to temperature and photoperiod but remains unclear across different latitudes.
- A predictive model was created to estimate diapause incidence based on factors like photophase, temperature, and latitude, with results supporting its accuracy against observed data.
- The study concluded that both temperature and photoperiod impact diapause incidence nonlinearly, and the model can be used in broader ecological models to manage this pest effectively.
Article Abstract
Background: The green mirid bug Apolygus lucorum is a dominant pest species on multiple crops over a wide area in northern China. However, the combined effect of photoperiod and temperature on diapause induction in this species across different latitudes is not clear. Thus, the combined effects of temperature (17-29 °C) and photoperiod (11:13 h to 15:9 h light/dark) on diapause induction for seven geographic populations, collected at latitudes between 30.47°N and 38.30°N, were investigated.
Results: A model, I = (15 - p)/(30 - p - 1.923(t - 16) + 0.4499 t - 0.015 L - 19.5389) was established to predict diapause incidence (I) using photophase (p), temperature (t) and latitude (L). In most cases, the diapause incidence predicted by the model was within or close to the 95% confidence interval estimated from independently observed field data.
Conclusion: Diapause incidence in A. lucorum was influenced nonlinearly by temperature and photoperiod across different latitudes. The model established in this study is valid for predicting diapause incidence in this pest over a wide area in northern China, and thus can be incorporated into an areawide population dynamic model of this pest. © 2020 Society of Chemical Industry.
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