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基于主成分和灰色关联度分析的鲜食糯玉米组合综合评价 被引量:12

Comprehensive Evaluation of Fresh Edible Waxy Maize Combinations Based on Principal Component and Gray Correlation Analysis
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摘要 为筛选优良鲜食糯玉米杂交组合提供理论参考,采用主成分和灰色关联度分析法对23个糯玉米杂交组合的农艺性状、品质及产量等10个性状指标进行遗传变异分析。结果表明:鲜食糯玉米杂交组合的性状差异较大,各性状变异系数为4.60%~47.11%,其中,秃尖长的变异系数最大,品质的变异系数最小;穗粗、行粒数、穗位高、品质、穗长和株高6个主成分因子累计贡献率达87.08%,穗粗、株高和穗长对产量影响较大,轴粗和秃尖长对产量影响较小;产量、轴粗和穗粗对品质影响较大,穗行和秃尖长对品质影响较小;主成分和灰色关联度分析法均筛选出N5、N62个综合性状好、产量高、品质优的糯玉米新组合。 The genetic variation in ten traits indexes(agronomic traits,quality,yield and etc.)of 23 waxy maize hybrid combinations is analyzed by using principal component and gray correlation analysis to provide the theoretical basis for screening excellent fresh edible waxy maize hybrid combinations.Result:The differences in traits of fresh edible waxy maize hybrid combinations are great,and the variable coefficient of different traits is 4.60%-47.11%.The variable coefficient of bare tip length and quality is the maximum and minimum.The cumulative contribution rate of six principal component factors(ear diameter,row grains,ear height,quality,ear length and plant height)reaches 87.08%.The yield is affected by ear diameter,plant height and ear length greatly,and affected by cob diameter and bare tip length slightly.The quality is affected by yield,cob diameter and ear diameter greatly,and affected by ear rows and bare tip length slightly.Two waxy maize new combinations of N5 and N6 with good comprehensive traits,high yield and excellent quality are screened out by principal component and gray correlation analysis methods.
作者 魏常敏 周文伟 许卫猛 邢永锋 宋万友 张传量 李桂芝 WEI Changmin;ZHOU Wenwei;XU Weimeng;XING Yongfeng;SONG Wanyou;ZHANG Chuanliang;LI Guizhi(Zhoukou Academy of Agricultural Sciences,Zhoukou,Henan 466000,China)
出处 《贵州农业科学》 CAS 2020年第7期9-13,共5页 Guizhou Agricultural Sciences
基金 河南省粮作作物优良品种研发推广基金项目[豫财贸(2017)13]。
关键词 糯玉米 品质 产量 主成分分析 灰色关联度分析 waxy maize quality yield principal component analysis gray correlation analysis
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