Dhillon Mukesh K, Hasan Fazil
Division of Entomology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Division of Entomology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
J Therm Biol. 2017 Oct;69:213-220. doi: 10.1016/j.jtherbio.2017.07.016. Epub 2017 Jul 29.
Temperature-dependent development rate, percent diapause induction (hibernation at low temperature and aestivation at high temperature), and survival of diapausing larvae of Chilo partellus (Swinhoe, 1885) were examined on 13 constant temperatures ranging from 8 to 40°C. Development of hibernating and aestivating larvae occurred from 10 to 25°C and 27-38°C, respectively. However, no development occurred at 8°C and 40°C. To determine actual thermal conditions that affect development and trigger both kind of diapause (hibernation and aestivation), various thermal parameters were estimated by fitting the development rate data to two linear (Ordinary equation and Ikemoto & Takai) models and thirteen non-linear models. The lower thermal thresholds (T) for development of diapausing larvae of C. partellus were calculated as 9.60°C and 10.29°C using the ordinary linear model and Ikemoto & Takai model, respectively. Similarly, the thermal constants (K) estimated using the ordinary linear model was 333.33 degree-days and that estimated with Ikemoto & Takai model was 338.92 degree-days. Among the non-linear models, Lactin-2 followed by Lactin-1 were found to be the best as these models estimated the critical temperatures (T, T and T) similar to those of observed values. Conclusively, the Ikemoto & Takai linear model and Lactin-2 followed by Lactin-1 non-linear models are useful and efficient for describing temperature-dependent development and estimating the temperature thresholds of diapausing larvae of C. partellus. Our findings provided fundamental information for estimation of thermal requirement and temperature based development models for diapausing larvae of C. partellus. This information will be highly useful for predicting the occurrence, seasonal emergence, number of generations and population dynamics of C. partellus.
在8至40°C的13个恒温条件下,研究了禾谷缢管蚜(Swinhoe,1885)的温度依赖性发育速率、滞育诱导率(低温下冬眠和高温下夏眠)以及滞育幼虫的存活率。冬眠和夏眠幼虫的发育分别在10至25°C和27 - 38°C下发生。然而,在8°C和40°C时未发生发育。为了确定影响发育并引发两种滞育(冬眠和夏眠)的实际热条件,通过将发育速率数据拟合到两个线性模型(普通方程和池本 & 高井模型)和13个非线性模型来估计各种热参数。使用普通线性模型和池本 & 高井模型计算得出,禾谷缢管蚜滞育幼虫发育的较低热阈值(T)分别为9.60°C和10.29°C。同样,使用普通线性模型估计的热常数(K)为333.33度日,使用池本 & 高井模型估计的为338.92度日。在非线性模型中,发现Lactin - 2其次是Lactin - 1是最佳模型,因为这些模型估计的临界温度(T₀、T₁和T₂)与观测值相似。总之,池本 & 高井线性模型以及Lactin - 2其次是Lactin - 1非线性模型对于描述温度依赖性发育和估计禾谷缢管蚜滞育幼虫的温度阈值是有用且有效的。我们的研究结果为估计禾谷缢管蚜滞育幼虫的热需求和基于温度的发育模型提供了基础信息。这些信息对于预测禾谷缢管蚜的发生、季节性出现、世代数和种群动态将非常有用。