@article{CUI2026, 
author = {Yue CUI and Jia-Wei TANG and Jie GAO and Ming YUAN and Yu GAO and Rui BI and Shu-Sen SHI},
title = {Effects of temperature on the growth and development of Riptortus linearis Fabricius},
year = {2026},
journal = {Journal of Environmental Entomology},
volume = {48},
number = {1},
pages = {196-205},
keywords = {Riptortus linearis Fabricius, temperature, developmental period, effective accumulated temperature},
url = {https://www.sciopen.com/article/10.3969/j.issn.1674-0858.2026.01.20},
doi = {10.3969/j.issn.1674-0858.2026.01.20},
abstract = {AimThis study aimed to evaluate the effects of different constant temperatures on the growth, development, survival, reproduction, and population dynamics of Riptortus linearis, and to determine its developmental threshold temperature and effective accumulated temperature.MethodsFive constant temperature gradients (16, 20, 24, 28, and 32℃) were set in this experiment. R. linearis was reared on hydroponically cultivated soybean seeds as the host substrate. The developmental duration, survival rates, and adult oviposition were observed and recorded. The developmental threshold temperature and effective accumulated temperature for each life stage were calculated using the least squares method, and ecological indicators such as the population trend index were analyzed via life table techniques.ResultsResults indicated a significant positive correlation between developmental rate and temperature within the range of 16~32℃, with higher temperatures accelerating development and shortening developmental duration. The effective accumulated temperatures for the egg and nymph stages were 90.90 ℃·d and 276.55 ℃·d, with corresponding developmental threshold temperatures of 13.47℃ and 11.45℃, respectively. Significant differences were observed in the developmental durations of different life stages under varying temperature regimes. At 16℃, adults did not oviposit, whereas at 24℃, the intrinsic rate of increase (rm) peaked at 0.0394, and thepopulation trend index (I) reached its highest value of 4.79.ConclusionThis study determined the optimal temperature for the population growth, development, and reproduction of R. linearis, providing essential biological parameters for predicting its seasonal occurrence and field population dynamics.}
}