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Published on: July 21, 2023
Geographical Variations in the Life Histories of Rhopalosiphum padi (Hemiptera: Aphididae) in China
Xiong Peng1, Chun-Man Song2, Kang Wang1
1College of Plant Protection, Key Laboratory of Crop Pest Integrated Pest Management on the Loess Plateau of Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China (925326517@qq.com; 641769369@qq.com; maohua.chen@nwsuaf.edu.cn).
Abstract:
Population dynamics of an insect can be affected by its life-history traits. Understanding of the life-history variations among geographical populations of an insect pest is important for developing the corresponding control strategies in different regions. Rhopalosiphum padi is a cosmopolitan cereal pest, and life-history traits identification of R. padi from different geographical regions is rare. Here, we experimentally evaluated variations in the life histories and life-table parameters of R. padi populations from six widely ranging geographical regions, including Baoding (HB), Xianyang (SX), Nanyang (HN), Wuhan (HW), Beibei (CB), and Guiyang (GG), in China. Total longevity was similar for HB, CB, and GG populations and generally shorter than that of the SX, HN, and HW populations. The age at first reproduction of HB and HW populations was significantly different from that of the other four populations. Mean fecundity of the SX population was significantly higher than that of the other five populations, and the mean fecundity of the GG population was the lowest. Principal component analysis (PCA) also showed that the life-history and life-table parameters of R. padi differed among the six geographical populations. According to PCA results, the HW population was in one cluster; the GG population was in another cluster; the SX, HN, and CB populations were in one cluster; and the HB population differed from the above three clusters. The complexity of local genetic adaptation in aphids was discussed. The current results will likely be of importance to management practices and population dynamics forecasting of R. padi.
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