Temperature-dependent development and reproduction of rice leaffolder, Marasmia exigua (Lepidoptera: Pyralidae)
文献类型: 外文期刊
作者: Liao, Qiu-Ju 1 ; Yang, Ya-Jun 2 ; Wang, Jia 1 ; Pang, Xiao 1 ; Xu, Chun-Mei 3 ; Peng, Cheng-Lin 3 ; Lu, Zhong-Xian 2 ; Li 1 ;
作者机构: 1.Southwest Univ, Inst Entomol, Coll Plant Protect, Chongqing, Peoples R China
2.Zhejiang Acad Agr Sci, Inst Plant Protect & Microbiol, State Key Lab Breeding Base Zhejiang Sustainable, Hangzhou, Zhejiang, Peoples R China
3.Qianwei Plant Protect Stn, Leshan, Peoples R China
期刊名称:PLOS ONE ( 影响因子:3.24; 五年影响因子:3.788 )
ISSN: 1932-6203
年卷期: 2017 年 12 卷 11 期
页码:
收录情况: SCI
摘要: Marasmia exigua (Butler) (Lepidoptera: Pyralidae) is one of the major rice leaffolders negatively affecting the rice production in the world. The growth and development of M. exigua was studied at seven constant temperatures (10, 15, 20, 25, 27, 30 and 35 degrees C). The results showed that M. exigua eggs failed to hatch at 10 degrees C and the larvae could not complete development at 15 and 35 degrees C. The developmental times of each stage, survival rates of pre-adult, adult longevity, fecundities and oviposition days of M. exigua at 20, 25, 27 and 30 degrees C were investigated using age-stage, two-sex life table. The total pre-adult development time decreased with the increase in temperature decreasing from 61.58 days at 20 degrees C to 28.94 days at 30 degrees C. The highest survival rate was observed at 25 degrees C (73%). Male adult longevities were generally longer than that of females, except at 30 degrees C. The highest mean fecundity, age-stage specific fecundity and age-specific fecundity peak values were all observed at 27 degrees C. The maximum intrinsic rate of increase r and finite rate of increase. were observed at 27 degrees C, while the maximum net reproduction rate R-0 was observed at 25 degrees C. The longest mean generation time occurred at 20 degrees C and the shortest at 27 degrees C. These results provide better understanding on the development, reproduction and dynamic of M. exigua populations, their distribution, and might be utilized to forecast and manage M. exigua outbreaks in China.
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