江西农业学报
江西農業學報
강서농업학보
ACTA AGRICULTURAE JIANGXI
2014年
2期
1-4
,共4页
甘蓝型油菜%农艺性状%主茎%抗倒性%逐步回归分析
甘藍型油菜%農藝性狀%主莖%抗倒性%逐步迴歸分析
감람형유채%농예성상%주경%항도성%축보회귀분석
Brassica napus%Agronomic characters%Main stem%Lodging resistance%Stepwise regression analysis
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。
根據18箇油菜品種9箇指標與倒伏指數的調查數據，通過逐步迴歸分析，建立瞭以下迴歸方程：Y＝-2．033-0．052X1＋0．013X2＋0．092X4＋6．423X7-4．950X8-0．385X9[ Y錶示倒伏指數，X1錶示株高，X2錶示生物產量，X4錶示分枝高度，X7錶示（薹莖＋主花序）/（縮莖＋伸長莖），X8錶示薹莖/伸長莖，X9錶示（薹莖＋伸長莖）/縮莖]。迴歸結果錶明：（薹莖＋主花序）/（縮莖＋伸長莖）對倒伏指數的影響最大，其次是薹莖/伸長莖。
근거18개유채품충9개지표여도복지수적조사수거，통과축보회귀분석，건립료이하회귀방정：Y＝-2．033-0．052X1＋0．013X2＋0．092X4＋6．423X7-4．950X8-0．385X9[ Y표시도복지수，X1표시주고，X2표시생물산량，X4표시분지고도，X7표시（대경＋주화서）/（축경＋신장경），X8표시대경/신장경，X9표시（대경＋신장경）/축경]。회귀결과표명：（대경＋주화서）/（축경＋신장경）대도복지수적영향최대，기차시대경/신장경。
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.
