Modelling the combined effects of photoperiod and temperature on diapause induction in Apolygus lucorum (Meyer-Dur) across different latitudes
文献类型： 外文期刊
作者： Feng, Hongqiang 1 ; Jin, Yinli 1 ; Zhang, Yanfang 1 ; Huang, Jianrong 1 ; Feng, Hongyun 1 ; Hou, Youming 2 ;
作者机构： 1.Henan Acad Agr Sci, Henan Key Lab Crop Pest Control,Inst Plant Protec, Key Lab Integrated Pest Management Crops Southern, Biol Pesticides Engn Res Ctr Henan Prov,Int Joint, Zhengzhou, Peoples R China
2.Fujian Agr & Forestry Univ, Coll Plant Protect, State Key Lab Ecol Pest Control Fujian & Taiwan C, Fujian Prov Key Lab Insect Ecol, Fuzhou, Peoples R China
3.Xinyang Agr & Forestry Univ, Coll Agr, Henan Prov South Henan Crop Pest Green Prevent &, Xinyang, Peoples R China
关键词： Apolygus lucorum; geographic variation; diapause induction; critical photoperiod; temperature dependence
期刊名称：PEST MANAGEMENT SCIENCE （ 影响因子：4.845； 五年影响因子：4.674 ）
ISSN： 1526-498X
年卷期： 2021 年 77 卷 5 期
页码：
收录情况： SCI
摘要： 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 degrees 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 degrees N and 38.30 degrees N, were investigated. RESULTS A model, I = (15 - p)/(30 - p - 1.923(t - 16)(1/2) + 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.
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