摘要
为了对玉米多指标试验进行科学的评价,采用主成分分析法对12个品种在5个试验地点的11个农艺性状进行综合评判。结果表明:5个试点综合表现最好的品种均不一致,对照种在不同试点下的表现也有差异,试点对品种存在较强的选择效应,品种间的适应性也存在较大差异。传统相对比较法仅考虑产量因素,未将其他性状进行考虑;主成分分析法能够很好地应用于玉米多指标体系的综合评价,但是要将其应用于注重产量的品种筛选中,还需加大产量在所有观测值中的权重。。
In order to evaluate the multi index test of maize,the principal component analysis method was used to evaluate11 agronomic traits of 12 varieties at 5 experimental sites. The results showed that comprehensive performance of the best varieties were inconsistent at 5 sites,the contrast variety also existed different performance in different sites,sites existed strong effect for12 maize varieties,different varieties existed different adaptability. The traditional comparative method only consider the yield factors,not consider other traits; The principal component analysis method in comprehensive evaluation of maize multi index system were more scientific and more accurate,comprehensive evaluation could be well applied to maize multi index system,but it was necessary to strengthen the screening index in yield of maize varieties,still needed to increase the yield weight of all the observations.
出处
《江西农业学报》
CAS
2016年第1期10-15,共6页
Acta Agriculturae Jiangxi
基金
贵州省科学技术基金项目(黔科合J字[2013]2002号)
贵州省科学技术基金重点项目(黔科合JZ字[2014]2001号)
毕节市农业攻关项目(毕科合字[2013]19号)
关键词
玉米
评价
应用
指标
主成分分析
Maize
Evaluation
Application
Index
Principal component analysis
