摘要
运用变异性分析、相关分析、偏相关分析、通径分析和多元回归分析方法,对含有不同抗条锈病基因的15个小麦新品系进行遗传性状的分析,以探讨抗性品种产量的影响因素之间的相互关系。结果表明,各农艺性状与产量的相关系数为:每公顷穗数(0.8240)>穗粒重(0.7490)>千粒重(0.4035)>单穗结实小穗数(0.1346)>穗粒数(-0.0575)>株高(-0.1892);偏相关系数为:每公顷穗数(0.5705)>穗粒重(0.3766)>千粒重(-0.2565)>穗粒数(-0.2396)>株高(-0.2296)>单穗结实小穗数(-0.0646);直接通径系数表示为:每公顷穗数(0.6100)>穗粒重(0.3717)>千粒重(-0.1728)>穗粒数(-0.1347)>株高(-0.1335)>单穗结实小穗数(0.0369)。产量因素与产量的回归方程Y=1475.106+2332.5384X4+5.7208X5。通径分析结果表明:千粒重,穗粒数,每穗结实小穗数是通过单穗产量提高产量。分析表明,抗锈小麦品系产量的提高应协调各产量因素的关系,这对抗条锈病基因聚合以及高产抗病育种具有重要意义。
Using 15 wheat lines conferring different resistant genes to stripe rust,analysis were conducted with a combination of correlation analysis,partial correlation analysis,path analysis and multiple regression analysis.By means of statistic methods,the relationships were analyzed between main agronomic traits and the grain yield.The results indicated that correlation coefficient between agronomic traits and grain yield were：spike number per hectare（0.824 0）kernels weight per spike（0.749 0）1 000-grain weight（0.403 5）fertile spikelets number per spike（0.134 6）kernels per spike（-0.057 5）plant height（-0.189 2）;Partial correlation coefficients were：spike number per hectare（0.570 6）kernel weight per spike（0.376 6）1 000-grain weight（-0.256 5）kernels per spike（-0.239 6） plant height（-0.229 6）fertile spikelets number per spike（-0.064 6）;Direct path coefficients were：spike number per hectare（0.610 0） kernel weight per spike（0.371 7）1 000-grain weight（-0.172 8）kernels per spike（-0.134 7） plant height（-0.133 5）fertile spikelets number per spike（-0.036 9）.Regression equation was put forward,Y=1 475.106＋2 332.538 4 X4＋5.720 8 X5.In conclusion,the factors,kernel weight per spike and kernels per spike,play important role for contributing to yield enhancement and the relationship between agronomic trait and yield should be well harmonized.It is of great significance for resistance to stripe rust gene′s pyramiding,new cultivars breeding and higher yield agronomic traits.
出处
《华北农学报》
CSCD
北大核心
2008年第B10期229-233,共5页
Acta Agriculturae Boreali-Sinica
基金
河北省自然科学基金(C2007000470)
河北省教育厅博士基金(B2004490)
河北农业大学博士基金
关键词
小麦品系
条锈病
偏相关分析
通径分析
多元回归分析
Wheat lines
Stripe rust
Agronomic trait
Partial correlation analysis
Path analysis
Multiple regression analysis
