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优良高油与普通玉米杂交种的穗粒结构分析
引用本文:李学慧,刘艳霞,王延召,余永亮,李玉玲.优良高油与普通玉米杂交种的穗粒结构分析[J].河南农业科学,2007(1):20-22.
作者姓名:李学慧  刘艳霞  王延召  余永亮  李玉玲
作者单位:河南农业大学,农学院,河南,郑州,450002
摘    要:对2个高油玉米杂交种玉油1号、HE-1和2个普通玉米杂交种郑单958、农大108在6种不同密度下6个穗粒性状间的相关以及对产量的作用进行了分析。结果表明,2类杂交种的表现趋势不完全一致:高油玉米杂交种的穗长和行粒数与穗粒重呈显著或极显著正相关,穗粒重对产量的直接通径系数为最大正值,其次为穗长和行粒数;普通玉米杂交种的百粒重和穗粗与穗粒重呈显著或极显著正相关,穗粗和穗粒重对产量的直接作用均为较大正值;百粒重对2类杂交种产量的直接作用均为最大负值。2类杂交种实现高产的途径存在差异。

关 键 词:高油玉米杂交种  普通玉米杂交种  穗粒性状  相关分析  通径分析
文章编号:1004-3268(2007)01-0020-03
修稿时间:2006-08-15

Analysis of the Ear-kernel Characteristics of High-oil Maize Hybrids and Normal Maize Hybrids
LI Xue-hui,LIU Yan-xia,WANG Yan-zhao,YU Yong-liang,LI Yu-ling.Analysis of the Ear-kernel Characteristics of High-oil Maize Hybrids and Normal Maize Hybrids[J].Journal of Henan Agricultural Sciences,2007(1):20-22.
Authors:LI Xue-hui  LIU Yan-xia  WANG Yan-zhao  YU Yong-liang  LI Yu-ling
Institution:Agronomy College of Henan Agricultural University, Zhengzhou 450002, China
Abstract:Correlation analysis and path analysis was conducted on the 6 ear-kernel characteristics of 2 high-oil maize hybrids(Yuyou1 and HE-1) and 2 normal maize hybrids(Zhengdan 958 and Nongda 108) under six different densities.The results showed that the tendency were not completely consistent between the two kinds of hybrids.For the 2 high-oil maize hybrids,ear length and kernel number per row were positively correlated with kernel weight per ear significantly;the direct path coefficient of kernel weight per ear to grain yield was positive and the largest,(followed) by ear length and kernel number per row.For the 2 normal maize hybrids,100-kernel weight and ear diameter were positively correlated with kernel weight per ear significantly,the direct path coefficients of ear diameter and kernel weight per ear to grain yield were positive and large.The direct path coefficients of 100-kernel weight were all negative for both kinds of hybrids.There were different ways for the two kinds of hybrids to reach high grain yield.
Keywords:High-oil maize hybrid  Normal maize hybrid  Ear-kernel characters  Correlation analysis  Path analysis
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