摘要
通过基于微粒群算法的投影寻踪模型评价方法，对水稻调亏灌溉管理模式提出不同生育期调亏对水稻生育特性及产量影响的综合评价，确定水稻调亏灌溉最优管理方案：返青期土壤水分控制下、上限为相对饱和含水率的70％～100％；分蘖初期为90％～100％；分蘖中期含水率90％，田面水层10mm；分蘖末期为60％～100％；拔节孕穗期为90％～100％；抽穗开花期为0—20mm，为节水高产型灌水方法和调亏灌溉制度的制定提供基本依据。
For the management mode of regulated deficit irrigation, the project pursuit model based on particle swarm optimization was proposed and applied to comprehensive evaluation of the effect on growth characteristics and yield in the different growth period of rice. The best regulated deficit irrigation scheme was that maintaining the level of water deficit 70%-100% of saturated water content at the green stage, water deficit 90%-100% of saturated water content at the early tillering stage, between the water deficit 90% of saturated water content and depth of lOmm field surface water layer at the middle tillering stage, water deficit 60%-100% of saturated water content at the late tillering stage, water deficit 90%-100% of saturated water content at the jointing-booting stage, and depth of 0-20mm field surface water layer at the jointing-booting stage. The optimum irrigation scheme provided the basic foundation to irrigation method and regulated deficit irrigation system of water-saving and high yield.
出处
《东北农业大学学报》
CAS
CSCD
北大核心
2013年第2期77-81,共5页
Journal of Northeast Agricultural University
基金
黑龙江省重大攻关项目(GA09B105-1-1)
关键词
微粒群算法
投影寻踪模型
调亏灌溉
灌溉制度
particle swarm optimization
projection pursuit
regulated deficit irrigation
irrigation system
