两种分析方法在芝麻品种选育中的应用比较

Comparison about Application of Various Analysis Methods inSesamum indicum Variety Breeding

为综合评价芝麻品种的产量性状及均衡性,筛选优质芝麻品种,本试验以20个芝麻高代材料为研究对象,采用雷达图和灰色关联分析法对千粒重、株高、每蒴粒数、单株蒴数、小区均产、单株产量、果轴长、有效果蒴数等8个性状进行综合分析。结果表明,Z06、Z12和Z16优于对照品种Z10,可选为苗头品系进行下一步区域试验。雷达图和灰色关联分析法作为多维度分析的方法,能够综合多个性状评价,更客观准确地评价对象,适宜于芝麻品种选育。

In order to comprehensively evaluate the yield characteristics and balance of Sesamum indicum varieties,and screen high-quality sesame varieties,this experiment used 20 high-generation Sesamum indicum varieties as research materials to comprehensively analyze 1000-grain weight,plant height,number of capsules per plant,average yield per plot,yield per plant,fruit axis length and number of effective sections.The results showed that Z06,Z12 and Z16 were superior to the check variety Z10,so they could be selected as the emerging strains for the next regional test.As the multi-dimensional analysis method,radar map and grey correlation degree analysis method could comprehensively evaluate multiple characters,and evaluate the object more objectively and accurately,which was suitable for Sesamum indicum variety breeding.