长期以年,人们对北疆棉花的播期、密度及根外追肥等多个因子,做过了许多单因子试验,并有肯定的结论。诸如4月中旬为最佳播期,密度应在万株以上,根外追肥可使棉花增产等结论已为大家所接受。但是,如果把这些因子都组合起来在一个栽培系内同时实施,这些因子的作用会发生怎样的变化?它们对棉花产量和纤维品质将产生什么样的影响? 为此我们进行了播期、密度及根外追肥多因子的二次回归试验。通过试验及分析,可以将这些因子在系统中做定量分析,得出更为科学的结论,以指导生产。 Long-term years, people on northern cotton sowing date, density and top dressing and many other factors, done a lot of single-factor tests, and with the conclusion. Such as mid-April for the best sowing date, the density should be more than 10,000, the top dressing can make cotton yield increase and other conclusions have been accepted by everyone. However, if all of these factors are combined and applied simultaneously in a single culture, what are the effects of these factors and how they affect cotton yield and fiber quality? For this purpose we conducted sowing, density And root topdressing multiple factor quadratic regression test. Through experiments and analysis, these factors can be quantitatively analyzed in the system to arrive at more scientific conclusions to guide the production.