Developmental threshold temperature and effective accumulatedtemperature of Pyrrhalta maculicollis (Mots.)
Author of the article:CHEN Ya-Li1, 3** ADIL Sattar1*** YU Feng2 MAHMUT Niyaz2 MA Jian-Hong2KONG Wen-Jun2 MA Bin2 HE
Author's Workplace:1. College of Forestry & Horticulture, Xinjiang Agricultural University, Utumqi 830052, China; 2. Xinjiang Turpan Forestry Pest Control and Quarantine Bureau, Turpan 838000, China; 3. Xinjiang Forestry Pest Control and Quarantine Bureau, Utumqi 830000, China
Key Words:Pyrrhalta maculicollis, developmental duration, developmental threshold temperature, effective accumulated temperature
Abstract:
To effectively control the damage caused by Pyrrhalta maculicollis (Mots.). [Methods] The developmental duration of P. maculicollis was determined under five constant temperatures in the laboratory (22, 25, 28, 31 and 34℃). The developmental threshold temperature (C) and effective accumulative temperature (K) of P. maculicollis were determined using the effective accumulated temperature law and least square method. [Results] The threshold temperatures of the egg, larval, pupal, and preoviposition stages, and that of an entire generation, were estimated to be 13.83, 12 .64, 12.48, 14.63 and 14.01℃, respectively, and the corresponding effective accumulated temperatures were 83.99, 186.32, 121.50, 185.42 and 550.54 degreedays. Logsitic and a Linear models of the relationship between temperature and developmental rates for these five lifehistory stages were developed. On the basis of the Lagrange Theorem, the optimal, lowest, and highest, temperatures for development were estimated to be 28.23℃, 14.36℃, 42.11℃, respectively. [Conclusion] The developmental duration, developmental threshold temperature and effective accumulated temperature of P. maculicollis were determined. In addition, the optimal, lowest, and highest, temperatures for development were calculated. These data could provide the basis for improving understanding of occurrence of these pests, and thereby improve monitoring, outbreak prediction, prevention and control