Application of factorial design in the field trapping experiment of flies
- Author:
LI Binghui
;
ZHU Hailong
;
LI Song
- Publication Type:Case Reports
- Keywords:
Vectors;
flies;
factorial design;
multi-factor design;
single-factor design;
fly cage
- From:
China Tropical Medicine
2024;24(7):875-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the application of factorial design in field trapping experiments for flies, and to provide more ideas for screening the best fly control method. Methods A 2×2 factorial design was used to analyze the main effects of the height of the fly cage (hanging fly cage, standing fly cage) and the type of bait (commercial bait, smelly tofu bait), and the interaction between the two factors. The fly trapping methods were divided into four combinations: hanging fly cage and commercial bait, hanging fly cage and smelly tofu bait, standing fly cage and commercial bait, standing fly cage and smelly tofu bait. The experiment was repeated 7 times for each combination and carried out according to the National Vector Biological Surveillance Implementation Plan. The best fly trapping method was identified by factorial design analysis of variance. Results A total of 2 296 flies were trapped in this study, with a cumulative deployment of 28 traps in the field, resulting in an average total density of 82.0 flies per cage. Among them, the number of flies attracted by the combination of standing fly cage and smelly tofu was the largest, accounting for 44.16% (1 014/2 296) of the total number of flies caught, with an average fly density of 144.8 flies per trap. This was followed by the combination of hanging fly cage and smelly tofu, hanging fly trap and commercial bait, and standing fly cage and commercial bait, accounting for 42.73% (981/2 296), 8.71% (200/2 296), and 4.40% (101/2 296) of the total, with average fly densities of 140.1, 28.6, and 14.4 flies per trap, respectively. The differences in field fly density among different trapping methods were statistically significant (F=49.441, P<0.001), and the differences in fly population composition were also statistically significant (χ2=259.980, P<0.001). The main effect of trap height was not significant (F=0.223, P=0.641), while the main effect of bait type was significant (F=147.206, P<0.001), and the interaction effect between trap height and bait type was not significant (F=0.894, P=0.354). Conclusions Compared with the single-factor design method, the factorial design method can not only analyze the main effects of each factor but also the interactions between the factors. The combination of standing fly cage and smelly tofu is preferred to have a better fly control effect.
- Full text:202511051704101715920. Application of factorial design in the field trapping experiment of flies.pdf
