摘要
试验采用二次正交旋转组合设计，对安徽沿江棉区棉花的移栽密度、施氮量、施磷钾肥量、去早蕾数及喷缩节安量与棉花烂铃的关系进行了定性定量的研究，建立了棉花烂铃率和烂铃指数对５项栽培因子反应的数学模型，并对模型进行检验和解析。结果表明，模型极显著，并与实际相吻合，５项栽培因子对棉花烂铃存在显著或极显著的影响，同时因子间存在着互作效应。此模型可作为近似气候年份棉花烂铃的预测模式。
Five factors of twice regressive design was adopted to study the relationship be-ween cotton boll rot and density. Side-dressing N,P2O、K2O,Remoral Early Squares,spraying DPC in the cotton region along Yants River in Anhui Province was applied.The maths models with five cultural factors effecting the cotton boll rot rate and index were estab-lished, tested and analysed.The result showed that the models are extremely remarkable and coorderable with practice. Five cultural factors have extreme effects on cotton boll rot and there are interactions among five factors. This model may be used as an indicating pattern un-der the normal climate years.
出处
《棉花学报》
CSCD
北大核心
1994年第4期248-252,共5页
Cotton Science
关键词
棉花
病害
烂铃率
数学模型
cotton,boll rot rate,boll rot index ,moths model
