摘要
根据18个油菜品种9个指标与倒伏指数的调查数据,通过逐步回归分析,建立了以下回归方程:Y=-2.033-0.052X1+0.013X2+0.092X4+6.423X7-4.950X8-0.385X9[Y表示倒伏指数,X1表示株高,X2表示生物产量,X4表示分枝高度,X7表示(薹茎+主花序)/(缩茎+伸长茎),X8表示薹茎/伸长茎,X9表示(薹茎+伸长茎)/缩茎]。回归结果表明:(薹茎+主花序)/(缩茎+伸长茎)对倒伏指数的影响最大,其次是薹茎/伸长茎。
According to the investigative data of 9 indexes and lodging index of 18 rapeseed ( Brassica napus) varieties, through stepwise regression analysis , this study gained the following regression equation: Y=-2.033 -0.052X1 +0.013X2 +0.092X4 +6.423X7 -4.950X8 -0.385X9, in which Y, X1, X2, X4, X7, X8 and X9 represented lodging index, plant height, bio-mass , branch height , ( bolting stem length +main inflorescence length ) /( shortening stem length +extending stem length ) , bol-ting stem length /extending stem length , and ( bolting stem length +extending stem length ) /shortening stem length , respective-ly.The above regression equation showed that ( bolting stem length +main inflorescence length ) /( shortening stem length +ex-tending stem length ) had the greatest influence on the lodging index of rapeseed , followed by bolting stem length /extending stem length.
出处
《江西农业学报》
CAS
2014年第2期1-4,共4页
Acta Agriculturae Jiangxi
基金
农业部国家油菜产业体系(栽培与营养)项目(62020800009)
湖南生物机电职业技术学院科技创新团队项目
关键词
甘蓝型油菜
农艺性状
主茎
抗倒性
逐步回归分析
Brassica napus
Agronomic characters
Main stem
Lodging resistance
Stepwise regression analysis