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Development of a high-efficiency sex pheromone formula to control Euproctis pseudoconspersa
LI Zhao-qun, YUAN Ting-ting, CUI Shao-wei, ZHAO Ying-jie, SHAO Yuan-hai, SHANG Jian-nong, LUO Zong-xiu, CAI Xiao-ming, BIAN Lei, CHEN Zong-mao
2023, 22 (1): 195-201.   DOI: 10.1016/j.jia.2022.08.113
Abstract279)      PDF in ScienceDirect      

The tea tussock moth (Euproctis pseudoconspersa) is one of the most destructive chewing pests in tea plantations and causes a serious allergic reaction on the skin of tea plantation workers.  The sex pheromone components of its Japanese population were first identified as 10,14-dimethylpentadecyl isobutyrate (10Me14Me-15:iBu) and 14-methylpentadecyl isobutyrate (14Me-15:iBu), with a stereogenic center.  Only 10Me14Me-15:iBu has been identified in the Chinese Epseudoconspersa population.  However, field tests have shown that 10Me14Me-15:iBu cannot meet the demand of effective pest control in China.  To develop a high-efficiency Epseudoconspersa sex pheromone formula, electroantennogram (EAG) recordings of (S)- and (R)-enantiomers of 10Me14Me-15:iBu and 14Me-15:iBu were obtained in the present study.  The results demonstrated that the EAG responses of male antennae to (R)-enantiomers were significantly higher than responses to the (S)-enantiomers, and 14Me-15:iBu also elicited EAG activity.  Field tests showed that the catch numbers of male moths by (R)-enantiomers were significantly higher (P<0.05) than those of (S)-enantiomers.  Addition of 14Me-15:iBu significantly increased the catch numbers of both the (S)- and (R)-enantiomers.  The efficient pheromone formula containing 0.75 mg (R)-10Me14Me-15:iBu and 0.1 mg 14Me-15:iBu showed significantly higher attractiveness than commercial pheromone products.  Our study demonstrated that (R)-10Me14Me-15:iBu was the major sex pheromone component of Epseudoconspersa, and 14Me-15:iBu might be the minor sex pheromone component.  Furthermore, a high-efficiency sex pheromone formula for Epseudoconspersa control was defined in this study.

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Causes of maize density loss in farmers’ fields in Northeast China
ZHAO Ying-jie, XING Sen, ZHANG Qing-song, ZHANG Fu-suo, MA Wen-qi
2019, 18 (8): 1680-1689.   DOI: 10.1016/S2095-3119(18)62101-X
Abstract169)      PDF in ScienceDirect      
Increasing plant density is an effective and important way to reduce maize yield gaps in Northeast China.  However, the fact is that a significant plant density gap exists between optimum plant density and actual plant density in farmers’ fields.  To quantify the density gap between planned planting density and final harvest plant density (HPD), we studied 60 farmers’ fields on three types of soil for three crop seasons from 2015 to 2017 by measuring their plant-plant distance, actual seedlings density (ASD), final HPD and yield.  We also explored the potential causes of density loss by digging the places where the seedlings were missing for two consecutive years in 2016–2017.  Results show that the three-year average HPD in farmers’ fields was 59 699 plants ha–1, which was significantly lower than the planned density, including both the machine setting density (MSD; 67 962 plants ha–1) and theoretical plant density (TPD; 67 467 plants ha–1).  No significant difference was found in HPD between years and soil types.  However, for MSD and TPD, the average value in 2015 was significantly higher than that in 2016 and 2017.  No significant difference between soil types was observed.  Furthermore, the results from 2016 till 2017 indicated that a lack of seeds in the soil, a failure to germinate due to low-quality seeds, and a lack of seedlings breaking out of the soil due to environmental problems explained approximately 60.88, 10.33 and 28.80% of density loss, respectively.  According to our survey, 63% of farmers did not know their own TPD and HPD, and 54% of farmers did not know the density loss.  Therefore, we argue that farmers’ limited knowledge of density and density loss is an urgent problem that needs to be solved in maize production.  These observations will be useful for determining best management practices for maize production and for providing helpful suggestions for machine improvement. 
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