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Effects of temperatures on the development and reproduction of the armyworm, Mythimna roseilinea: Analysis using an age-stage, two-sex life table

文献类型： 外文期刊

作者： Qin Jian-yang 2 ; Liu Yue-qiu 3 ; Zhang Lei 1 ; Cheng Yun-xia 1 ; Luo Li-zhi 1 ; Jiang Xing-fu 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100193, Peoples R China

2.Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Hubei, Peoples R China

3.Beijing Univ Agr, Coll Landscape Architecture, Beijing 102206, Peoples R China

关键词： Mythimna roseilinea; life table; temperature; lower threshold temperature; effective accumulated temperature

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）

ISSN： 2095-3119

年卷期： 2018 年 17 卷 7 期

页码：

收录情况： SCI

摘要： The armyworm Mythimna roseilmea (Walker) is a major pest of grain crops in South China. So far little is known about its basic biology and ecology, making prediction of population dynamics difficult. This study examined the relationships of individual development and population growth with temperature based on an age-stage, two-sex life table of M. roseilinea reared on maize in the laboratory at 18, 21, 24, 27 and 30 degrees C. The highest values of net reproductive rate (R-0) and fecundity were observed at 21 and 24 degrees C, respectively. Both the intrinsic rate of increase (r) and finite rate of increase (A) increased significantly and mean generation time (T) decreased significantly with increasing temperature. M roseilmea was able to develop, survive and lay eggs at all temperature regimes tested. Development rates of the egg, larval, pupal, as well as the whole pre-oviposition stages had a positive linear relationship with temperature. The calculated development threshold temperatures of egg, larval, pupal, pre-oviposition and total pre-oviposition stages were 13.29, 8.39,14.35, 7.42, and 12.24 degrees C, respectively, and their effective accumulated temperatures were 63.59, 445.00, 211.11, 89.02, and 698.95 degree-days, respectively. These results provide insight into temperature-based phenology and population ecology of this insect pest and will allow population prediction and management available in the field.

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