[关键词]
[摘要]
研究黄淮海区玉米品种的耐阴性评价体系及鉴定指标,对玉米品种耐阴性分类。以35个玉米品种为材料,花期利用遮光度为50%遮阳网人工模拟寡照环境,测量雌雄间隔期、株高、穗位高、雄穗分支、雄穗长度、产量等14个性状,运用相关性分析、主成分分析、聚类分析、回归分析、平均隶属函数值等多元统计分析方法对玉米品种进行耐阴性评价,筛选出玉米品种耐阴性评价关键指标,根据鉴定指标对玉米品种进行耐阴性划分。利用主成分分析和逐步回归优化出了产量、行粒数、雌雄间隔期、穗粗4个耐阴性评价指标,以产量、行粒数、雌雄间隔期、穗粗4个性状的平均隶属函数值进行聚类分析,将35个玉米品种分成耐阴性强、耐阴性弱两大类型。通过分析建立了玉米品种花期耐阴性评价体系,产量、行粒数、雌雄间隔期、穗粗作为玉米品种花期耐阴性鉴定指标。
[Key word]
[Abstract]
The evaluation system and identification index of negative tolerance of huanghuaihai maize varieties were studied, and the negative tolerance of maize varieties was classified.During the flowering period, 35 maize varieties as material was studied under the 50% shading degree with artificial simulation of oligoluminescence environment,14 traits were measured,such as ASI, plant height, spike height, spike branch, spike length and yield etc, correlation analysis, principal component analysis, cluster analysis, regression analysis, mean membership function value and other multivariate statistical analysis methods were used to evaluate the negative tolerance of maize varieties,the key indexes for negative evaluation of maize tolerance were screened,the maize varieties were divided into negative tolerance according to the identification index.By using principal component analysis and stepwise regression,including yield, number of rows, ASI and ear diameter that four negative evaluation indexes of
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