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Shi F, Ma X, Lin CJ, Gao XH, Wang XY, Kuang YF, Wang LL, Li S, Lin C, Chen LL. The application of demographic characteristics of Ectropis grisescens (Lepidoptera: Geometridae) in pest risk assessment of IPM. J Econ Entomol 2024; 117:230-239. [PMID: 38011802 DOI: 10.1093/jee/toad208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/18/2023] [Accepted: 11/01/2023] [Indexed: 11/29/2023]
Abstract
Ectropis grisescens Warren is one of the most important pests of tea plants. In this study, data on the development, survival, and fecundity of E. grisescens were collected at 15, 22, and 32 °C and analyzed by using the age-stage, two-sex life table. At 15 °C, the duration of the preadult period of E. grisescens was significantly prolonged (81.06 days), with high mortality (69.0%), and the proportion of emerged female adults was extremely low (7.0%). At 32 °C, the preadult period was significantly shortened (29.12 days), with high preadult mortality (74.0%), and a low proportion of emerged female adults (15.0%). At 22 °C, with low preadult mortality (24.0%), and a high proportion of emerged female adults (26.0%). The overall effects of the shorter preadult duration, higher preadult survival rate, higher proportion of emerged female adults, higher fecundity (F = 350.88 eggs/♀), and higher net reproductive rate (R0 = 91.23 offspring/individual) at 22 °C resulted in the highest values of the intrinsic rate of increase (r = 0.1054 days-1) and finite rate of increase (λ = 1.1112 days-1). Computer simulation showed that E. grisescens populations can increase much faster at 22 °C than at 15 and 32 °C. The weighted population size and cumulative weighted insect-days provided the dynamics necessary for estimating the damage potential of E. grisescens in devising economical pest management programs. Our results demonstrate that populations of E. grisescens were able to develop at a broad range of temperatures and adapt to the high temperatures. These finding can be utilized to improve the management of E. grisescens.
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Affiliation(s)
- Fan Shi
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fuzhou, Fujian 350002, China
- Institute of China White Tea, Fuding, Fujian 355200, China
- China Agricultural Technology Association Anxi Tieguanyin Tea Science and Technology Academy, Quanzhou, Fujian 362406, China
| | - Xu Ma
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fuzhou, Fujian 350002, China
- Institute of China White Tea, Fuding, Fujian 355200, China
| | - Chang-Jin Lin
- China Agricultural Technology Association Anxi Tieguanyin Tea Science and Technology Academy, Quanzhou, Fujian 362406, China
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Xiao-Han Gao
- Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou, Fujian 362406, China
| | - Xing-Yu Wang
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fuzhou, Fujian 350002, China
- Institute of China White Tea, Fuding, Fujian 355200, China
- China Agricultural Technology Association Anxi Tieguanyin Tea Science and Technology Academy, Quanzhou, Fujian 362406, China
| | - Yang-Fan Kuang
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fuzhou, Fujian 350002, China
- Institute of China White Tea, Fuding, Fujian 355200, China
- Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou, Fujian 362406, China
| | - Lin-Lin Wang
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fuzhou, Fujian 350002, China
- Institute of China White Tea, Fuding, Fujian 355200, China
- Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou, Fujian 362406, China
| | - Shitang Li
- School of Mathematics and Statistics, Fujian Normal University, Fuzhou, Fujian 350117, China
- Key Laboratory of Analytical Mathematics and Applications (Ministry of Education), Fujian Normal University, Fuzhou, Fujian 350117, China
| | - Changlu Lin
- School of Mathematics and Statistics, Fujian Normal University, Fuzhou, Fujian 350117, China
- Key Laboratory of Analytical Mathematics and Applications (Ministry of Education), Fujian Normal University, Fuzhou, Fujian 350117, China
| | - Li-Lin Chen
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fuzhou, Fujian 350002, China
- Institute of China White Tea, Fuding, Fujian 355200, China
- China Agricultural Technology Association Anxi Tieguanyin Tea Science and Technology Academy, Quanzhou, Fujian 362406, China
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