摘要
通过对影响水稻产量性状的灰色关联度、相关性及逐步回归分析,结果表明:产量构成四要素对产量的贡献依次为穗粒数>穗数/㎡>千粒重>结实率;穗粒数与实际产量之间有正相关性,其它与产量呈较弱的负相关性;产量构成因素与产量的多元逐步回归模型为■:=283.6605+0.4863X1+2.6405X2+0.6511X3+1.4269X4,回归方程中穗粒数偏回归系数最大。因此,在制定水稻高产栽培措施时,应在稳定平方米穗数的基础上,提高穗粒数,是获得高产主要途径之一。栽培上采取的措施是倒4叶后半叶酌情施N肥和倒2叶采用间歇灌溉。
The grey correlation degree, relationship and stepwise regression analysis of yield components were studied and the results showed that the order of contribution degree of yield component to yield was grains per panicle〉panicle/m2〉 1000-grain weight〉seed setting rate. The multiple stepwise regression model between yield and yield components are listed as follows：y^= 283.6605 ＋ 0.4863X1 ＋ 2.6405X2 ＋ 0.6511X3 ＋1.4269X4, in which the partial regression coefficient of grains per panicle is the largest, indicating that increasing grains per panicle at a certain level of panicles per m^2 is an effective way to increase the yield. The management should focus on nitrogen fertilization at late half fourth leaf from the uppermost and irrigation at second leaf from the uppermost.
出处
《北方水稻》
CAS
2008年第6期33-35,共3页
North Rice
关键词
灰色关联度
相关性
逐步回归
产量构成四要素
Grey correlation degree
Relationship
Stepwise regression
Yield component
