文献类型： 外文期刊

作者： Liu, Limin ¹ ; Liu, Ziyan ¹ ; Han, Hu ¹ ; Jiang, Yulin ¹ ; He, Xiongkui ¹ ; Liu, Yajia ¹ ; Wang, Dongsheng ⁴ ; Guo, Xianping ⁴ ; Liang, Zhao ⁵ ;

作者机构： 1.China Agr Univ, Coll Sci, Beijing 100193, Peoples R China

2.China Agr Univ, Ctr Chem Applicat Technol, Beijing 100193, Peoples R China

3.China Agr Univ, Coll Agr Unmanned Syst, Beijing 100193, Peoples R China

4.Henan Acad Agr Sci, Inst Hort, Zhengzhou 450002, Peoples R China

5.Taishan Univ, Sch Informat Sci & Technol, Tai An 271000, Peoples R China

关键词： downwash airflow; pollination; rotary atomizer; sprayer; spraying pressure; UAVS

期刊名称：HORTICULTURAE （ 影响因子：3.1； 五年影响因子：3.4 ）

ISSN：

年卷期： 2023 年 9 卷 3 期

页码：

收录情况： SCI

摘要： Liquid spray pollination (LSP) is widely used in fruit tree pollination. However, the LSP parameters that affect the pollen activity are still unclear. In this study, three LSP parameters that mainly affect the pollen activity were studied: storage time of pollen suspensions, sprayer parameters and unmanned aerial vehicle sprayer (UAVS) downwash airflow. In addition, sprayer parameters include the recirculation device, pump type, spraying pressure, nozzle size and revolutions per minute (rpm) of the rotary atomizer (RA). The results showed that, with the exception of nozzle size and UAVS downwash airflow, the pollen activity was significantly influenced by LSP parameters. The mean pollen activity decreased by 20.20% when the pollen suspension was stored for 30 min compared to 0 min. The activity of pollen in the tank was dramatically reduced using the recirculation device. The mean pollen activity decreases as the pump production maximum pressure increases. The mean pollen activity decreased from 40.7% to 29.02% when the spraying pressure increased from 0.3 MPa to 2.5 MPa. Additionally, the mean pollen activity decreased from 44.25% to 14.14% as the rpm of RA increased from 3000 rpm to 14,000 rpm. Our study demonstrated that pollen activity would be ensured by appropriate LSP parameters. This study provides a reliable theoretical basis for optimizing and advancing pear LSP technology.