Effect of meteorological factors on the population dynamics of Helicoverpa armigera adults in the Korla cotton-growing region of Xinjiang
Author of the article:CHEN Xin1, 2** SONG Bing-Mei2, 3 JIA Meng-Yao1, 2 HU De-Qin2, 3 WANG Dong-Mei2 PAN Hong-Sheng2
Author's Workplace:1. Engineering Research Center of Cotton, Ministry of Education, College of Agricultural, Xinjiang Agricultural University, Urumqi 830052, China; 2. National Plant Protection Scientific Observation and Experiment Station of Korla, Institute of Plant Protection, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi 830091, China; 3. Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830046, China
Key Words: Korla cotton-growing region; Helicoverpa armigera; high-altitude trap lamp; population dynamics; meteorological factors
Abstract:
[Aim] To clarify the population dynamics and
occurrence patterns of Helicoverpa armigera adults in the Korla
cotton-growing region of Xinjiang, and analyze the correlation between these
and meteorological factors, to improve the monitoring, early warning,
prevention, and control, of this pest. [Methods] The population dynamics of H. armigera adults in the Korla cotton-growing region of Xinjiang were monitored using
high-altitude lamp traps from 2021 to 2024, and correlated with meteorological
data collected from small meteorological stations in the Korla region. [Results] H. armigera in the Korla
cotton-growing region of Xinjiang has four generations annually, with most
activity occurring
from early April to late September. Overwintering generation adults first
appear in early April, followed by a relatively low peak in the abundance of
first-generation adults in late May. A significant increase in the population
of second-generation adults is observed between late June and early July, which
is the main period of infestation. The third-generation adult population peaks
in early August, but at a noticeably lower level compared to the second
generation. From late August onward, adult populations gradually decline and
remain at minimal levels. There are significant positive correlations between
the population dynamics of H.
armigera and meteorological factors recorded between 2021 and 2024,
including between population abundance and both mean (r=0.48, P<0.05)
and maximum temperature (r=0.50, P<0.05). Generalized linear
regression indicates that average temperature was the main meteorological
factor affecting the abundance of H. armigera adults. [Conclusion] There was a significant positive correlation
between the population dynamics of H. armigera adults and temperature in
the Korla cotton-growing region of Xinjiang. This finding provides an important
theoretical foundation for the prediction and comprehensive control of H.
armigera.