摘要
[目的]对不同茄子Solanum melongena品种农艺性状及品质等指标进行分析,旨在建立适用于茄子资源的评价方法,为优质茄子资源快速筛选及品种选育提供理论参考.[方法]以'紫龙5号''紫龙7号''亮紫7号''浙茄7号''杭茄716''杭茄718''Z1''Z2''杭茄2020'等10个茄子品种为试材,测定与植株生长、果实等相关的16个指标,并利用主成分分析法进行综合评价.[结果]不同茄子品种的农艺性状及品质指标等存在差异.'Z2'植株最高,'紫龙7号'株幅最大,'杭茄716'最粗.'Z1'果实最长,'紫龙7号'最短.'Z1'果皮颜色最深,而'Z3'果皮颜色最浅.'杭茄716'果皮和果实硬度最高,显著高于其他9个品种(P＜0.05),而'亮紫7号'果皮韧性最大,显著大于其他品种(P＜0.05).'Z2'的可溶性糖和可溶性蛋白质量分数均最高,'亮紫7号'和'紫龙5号'果实的游离氨基酸质量分数最高.主成分分析共提取了5个主成分,累积贡献率达87.126％.[结论]以5个主成分及单个主成分所对应的特征值占提取主成分特征值和的比例作为权重,构建了茄子综合评价模型,综合得分最好的品种为'亮紫7号',最差的是'紫龙7号'.图1表6参29
Abstract
[Objective]In order to establish a suitable evaluation methods for eggplant resources,the agronomic characters and quality indexes of different eggplant cultivars are analyzed,which will provide a theoretical reference for rapid screening of germplasm resources and eggplant breeding.[Method]10 eggplant varieties'ZilongNo.5''Zilong No.7''Liangzi No.7''Zheqie No.10''Hangqie No.716''Hangqie No.718''ZI''Z2''Z3''Hangqie No.2020'were used to determine 16 indicators relevant with plant growth and fruit characteristics.The principal component analysis method was used for comprehensive evaluation.[Result]There were differences among different eggplant cultivars.Plant of'Z2'was the highest.The highest plant breadth and stem diameter was found in'Zilong No.7'and'Hangqie No.716',respectively.For fruit length,'ZI'was the longest,while'Zilong No.7'was the shortest.The highest and lowest chroma value was found in fruit of'ZI'and'Z3',respectively.The hardness of fruit peel and pulp for'Hangqie No.716'was significantly higher than those of the other 9 cultivars(P＜0.05).The pericarp toughness of'Liangzi No.7'was significantly higher than others(P＜0.05).Soluble sugar and protein contents of'Z2'were the highest.Fruits of'Liangzi No.7'and'Zilong No.5'showed the highest levels of amino acid.Principal component analysis extracted a total of 5 principal components with a cumulative contribution rate of 87.126％.[Conclusion]A comprehensive evaluation model of eggplant was constructed by taking the eigenvalues corresponding to the five principal components and the ratio of single principal component to the extracted principal components.The best comprehensive score was found from'Liangzi No.7',while the worst was found from'Zilong No.7'.[Ch,1 fig.6 tab.29 ref.]
维普
万方数据