摘要
倒伏是水稻生长过程中常见的非生物逆境之一。倒伏不仅影响水稻的高产、稳产,也降低水稻的品质。选育抗倒伏的优质品种,制定适宜的田间管理计划可以有效改善倒伏。本文综述倒伏对水稻产量、品质的影响,阐述目前常用的水稻倒伏监测技术,比较传统技术和现代信息技术在倒伏监测应用上的优缺点,并对未来基于无人机监测水稻倒伏进行展望。
Lodging is one of the common abiotic stresses in rice growth. It not only affects the high and stable yield of rice, but also reduces the quality. Lodging resistance varieties and suitable field management can effectively improve the situation. In this paper, the influences of lodging on rice yield and quality were summarized. The advantages and disadvantages of current commonly used technologies for monitoring rice lodging were expounded, and the prospect of monitoring rice lodging based on the images of UAV in the future was also discussed.
作者
周平
周恺
刘涛
武威
孙成明
Zhou Ping;Zhou Kai;Liu Tao;Wu Wei;Sun Chengming(Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop cultivation physiology,Agricultural College of Yangzhou University,Yangzhou,225009,China;Co-Innovation Center for Modern Production Technology of Grain Crops,Yangzhou University,Yangzhou,225009,China)
出处
《中国农机化学报》
北大核心
2019年第10期162-168,共7页
Journal of Chinese Agricultural Mechanization
基金
国家自然科学基金项目(31671615、31701355、31872852)
国家重点研发计划项目(2018YFD0300805)
苏州市农业科技创新项目(SNG2017064)
扬州市产学研合作专项基金(YZ2016251)
关键词
水稻
倒伏
影响因素
智能监测
无人机
rice
lodging
influence factor
intelligent monitor
unmanned aerial vehicle
