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Analysis of phototactic responses in Spodoptera frugiperda using Helicoverpa armigera as control
LIU Ying-jie, ZHANG Dan-dan, YANG Li-yu, DONG Yong-hao, LIANG Ge-mei, Philip DONKERSLEY, REN Guang-wei, XU Peng-jun, WU Kong-ming
2021, 20 (3): 821-828.   DOI: 10.1016/S2095-3119(19)62863-7
Abstract127)      PDF in ScienceDirect      
Light traps are widely utilized to monitor and manage insect pest populations.  In late 2018, the fall armyworm (FAW), Spodoptera frugiperda, invaded China through Yunnan Province representing a huge threat to grain production.  To estimate the efficiency of light traps on FAW moths, we first identified the opsin genes from FAW by using the transcriptome.  Phylogenetic analysis indicated that the four opsins of FAW were clustered with those of other Noctuidae species.  The expressed levels of opsins in S. frugiperda were lower than in Helicoverpa armigera, suggesting a different phototactic response between the two species.  Then, we determined the phototactic behavior of FAW using H. armigera as a control, which is widely monitored and managed using light traps in China.  Our results indicated that the two moths species showed significantly different phototactic behavior and both female and male FAW displayed faster flight-to-light speed than H. armigera.  This may be due to a faster flight capacity in FAW compared to H. armigera.  However, the capture rate of both female and male of S. frugiperda was significantly lower than that of H. armigera, which was consistent with the expression levels of opsins.  These results support the positive phototaxis of S. frugiperda moths and suggest light traps could be used for monitoring and managing the pests, but with a lower efficiency than H. armigera.
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Contribution of Drought to Potential Crop Yield Reduction in a Wheat-Maize Rotation Region in the North China Plain
HU Ya-nan, LIU Ying-jie, TANG Hua-jun, XU Yin-long , PAN Jie
2014, 13 (7): 1509-1519.   DOI: 10.1016/S2095-3119(14)60810-8
Abstract1857)      PDF in ScienceDirect      
With consecutive occurrences of drought disasters in China in recent years, it is important to estimate their potential impacts on regional crop production. In this study, we detect the impacts of drought on wheat and maize yield and their changes at a 0.5°×0.5° grid scale in the wheat-maize rotation planting area in the North China Plain under the A1B climate change scenario using the Decision Support System for Agrotechnology Transfer (DSSAT) model and the outputs of the regional climate modeling system - Providing Regional Climates for Impacts Studies (PRECIS). Self-calibrating palmer drought severity index was used as drought recognition indicator. Two time slices used for the study were the baseline (1961-1990) and 40 years of 2011-2050. The results indicate that the potential planting region for double crop system of wheat-maize would expend northward. The statistic conclusions of crop simulations varied considerably between wheat and maize. In disaster-affected seasons, wheat yield would increase in the future compared with baseline yields, whereas in opposite for maize yield. Potential crop yield reductions caused by drought would be lower for wheat and higher for maize, with a similar trend found for the ratio of potential crop yield reductions for both crops. It appears that the negative impact of drought on maize was larger than that on wheat under climate change A1B scenario.
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