摘要
应用灰色关联多维综合评判数学模型,对2006年河南省夏玉米区域试验品种进行了多因素综合评价分析。结果表明:洛试202综合表现最优,浚9925次之,CN18综合表现最差。该结果与试验地实际表现相吻合。灰色关联多维综合评判方法简便易行,在玉米新品种的评价中可以广泛应用。
Multi-dimensional comprehensive evaluation of the summer maize varieties of regional trial in Henan Province in 2006 were analyzed, using the mathematical model of grey correlative multi-dimensional comprehensive evaluation. The results showed that Luoshi 202 performed very well, Xun 9925 took second place, and CN18 was the worst, which were quite consistent with the actual performance in the experimental field. Grey correlative multi-dimensional comprehensive evaluation was simple and convenient, which could widely used in the evaluation of new maize varieties.
出处
《河北农业科学》
2009年第2期5-7,共3页
Journal of Hebei Agricultural Sciences
基金
驻马店市科技局科技攻关项目(2004006)
关键词
灰色关联度
多维综合评判
玉米
品种评价
Grey correlative degree
Multi-dimensional comprehensive evaluation
Maize
Variety evaluation