摘要
高产小麦的研究与培育是目前国内外农业研究的重点和难点之一,其中导致产量减少的主要原因是小麦的倒伏问题.针对小麦的抗倒伏问题,先分别建立了2007年、2008年和2011年的抗倒伏指数模型,并运用相关性分析和通径分析得出影响抗倒伏指数的最主要因素,再运用粒子群算法解决了不同株型结构的设计问题,最后分别讨论了小麦在重力和风载作用下的临界载荷问题,并给出了不同品种根倒和茎倒的临界风速.
Recently, high-quality wheat is one of crucial topics in the modern agriculture, and the harvest of high-quality wheat mainly results from lodging problem. To investigate the lodging of high-quaility wheat, this paper introduces three different mathematical models concerning the index of lodging resistence, and analyzes key factors on this index by corre- lation analysis and path analysis. To better design the structure of several typical wheats in 2008, particle swarm optimization is used to address this hard problem. Finally, we analyze and discuss the threshold loading of the wheat as well as the threshold wind speed.
出处
《数学的实践与认识》
CSCD
北大核心
2012年第15期66-75,共10页
Mathematics in Practice and Theory
关键词
高产小麦
抗倒伏指数
相关性分析
粒子群算法
临界风速
lodging resistence
high-quality wheat
particle swarm optimization
threshold wind speed
