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首页> 外文期刊>Environmental Entomology >Temperature-Dependent Development and Temperature Thresholds of Codling Moth (Lepidoptera: Tortricidae) in Iran
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Temperature-Dependent Development and Temperature Thresholds of Codling Moth (Lepidoptera: Tortricidae) in Iran

机译:伊朗Co蛾(鳞翅目:Temperature科)的温度依赖性发育和温度阈值

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摘要

Developmental rate models and biological parameters estimated from them, especially lower and upper temperature thresholds and optimal temperature, can help to forecast phenological events of codling moth, Cydia pomonella L. (Lepidoptera: Tortricidae), in apple orchards. We studied the developmental time of immature stages of codling moth at eight constant temperatures ranging from 10 to 35 degrees C and modeled their developmental rate as a function of temperature using 13 published nonlinear and 2 linear models. Data were fitted to developmental rate models and temperature thresholds and the optimal temperatures were estimated. The models were evaluated based on adjusted coefficient of determination (R-adj(2)) and Akaike information criterion (AIC), in addition to coefficient of determination (R-2) and residual sum of squares (RSS). The thermal constants were 79.80, 312.60, 232.03, and 615.32 DD for egg, larva, pupa, and overall immature stages of codling moth, respectively, using the Ikemoto and Takai linear model. The Ikemoto and Takai linear model estimated lower temperature thresholds as 9.97, 8.94, 10.04, and 9.63 degrees C for egg, larva, pupa, and overall immature stages, respectively. Among the nonlinear models, the third-order polynomial fit the data well. This model estimates optimal temperature accurately. Briere-1 and Briere-2 accurately estimated the lower and upper temperature thresholds considering model evaluation criteria and accuracy of estimations.
机译:根据它们估计的发育速率模型和生物学参数,尤其是上下温度阈值和最佳温度,可以帮助预测苹果园中苹果d蛾(Cydia pomonella L.(鳞翅目:Tortricidae))的物候事件。我们研究了10个到35摄氏度之间的八个恒定温度下苹果co蛾未成熟阶段的发育时间,并使用13个已公开的非线性模型和2个线性模型对它们的发育速率随温度的变化进行了建模。将数据拟合到发展速率模型和温度阈值,并估计最佳温度。除了确定系数(R-2)和残差平方和(RSS)外,还基于调整后的确定系数(R-adj(2))和Akaike信息标准(AIC)对模型进行评估。使用Ikemoto和Takai线性模型,卵,幼虫,和未成熟幼虫的热常数分别为79.80、312.60、232.03和615.32 DD。 Ikemoto和Takai线性模型估计较低的温度阈值分别为鸡蛋,幼虫,和整体未成熟阶段的9.97、8.94、10.04和9.63摄氏度。在非线性模型中,三阶多项式很好地拟合了数据。该模型可准确估算最佳温度。 Briere-1和Briere-2在考虑模型评估标准和估算准确性的情况下准确估算了温度上下限。

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