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首页> 外文期刊>Korean Journal of Applied Entomology >Temperature-dependent development model of Paromius exiguus (Distant) (Heteroptera: Lygaeidae). [Korean]
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Temperature-dependent development model of Paromius exiguus (Distant) (Heteroptera: Lygaeidae). [Korean]

机译:Paromius exiguus (远距离)(后翅目:Lygaeidae)的温度依赖性发育模型。 [韩文]

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摘要

The developmental time of immature stages of Paromius exiguus (Distant) was investigated at nine constant temperatures (15, 17.5, 20, 22.5, 25, 27.5, 30, 32.5, 35+or-1 degrees C), 20-30% RH, and a photoperiod of 14:10h (L:D). Eggs did not develop at 15 degrees C, and their developmental time decreased with increasing temperatures. Its developmental time was longest at 17.5 degrees C (28.2 days) and shortest at 35 degrees C (5.9 days). The first nymphs failed to reach the next nymphal stage at 17.5 and 35 degrees C. Nymphal developmental time decreased with increasing temperatures between 20 degrees C and 32.5 degrees C, and developmental rate was decreased at temperatures above 30 degrees C in all stages except for the fourth nymphal stage. The relationship between developmental rate and temperature fit a linear model and three nonlinear models (Briere 1, Lactin 2, and Logan 6). The lower threshold temperature of egg and total nymphal stage was 13.8 degrees C and 15.3 degrees C, respectively. The thermal constant required to reach complete egg and the total nymphal stage was 109.9 and 312.5DD, respectively. The Logan-6 model was best fitted (r2=0.94-0.99), among three nonlinear models. The distribution of completion of each development stage was well described by the 3-parameter Weibull function (r2=0.91-0.99).
机译:在九个恒定温度(15、17.5、20、22.5、25、27.5、30、32.5、35+或-1摄氏度)下研究了 Paromius exiguus (远距离)的未成熟阶段的发育时间。 ,相对湿度20-30%和光周期为14:10h(L:D)。鸡蛋在15摄氏度时未发育,其发育时间随温度升高而减少。它的发育时间最长为17.5摄氏度(28.2天),最短为35摄氏度(5.9天)。第一批若虫在17.5和35摄氏度时未达到下一个若虫阶段。随着温度在20摄氏度至32.5摄氏度之间的升高,若虫的发育时间会减少,而在高于30摄氏度的所有阶段,发育速度都会降低,除了第四个若虫阶段。发育速率和温度之间的关系符合线性模型和三个非线性模型(Briere 1,Lactin 2和Logan 6)。卵和总若虫阶段的下限阈值温度分别为13.8摄氏度和15.3摄氏度。达到完整卵和整个若虫阶段所需的热常数分别为109.9和312.5DD。在三个非线性模型中,Logan-6模型最适合(r 2 = 0.94-0.99)。每个开发阶段完成的分布情况均由3参数威布尔函数(r 2 = 0.91-0.99)很好地描述。

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