摘要
藜麦(Chenopodium quinoa Willd.)是美洲大陆最古老的作物之一,为全世界公认的全营养谷物。为了解国内不同藜麦种质资源营养性状的相关性和差异性,本研究测定国内25份藜麦种质资源的13个品质性状指标,并对其进行相关性分析、主成分分析和聚类分析。结果表明,脂肪与总黄酮呈极显著正相关(0.55),而与赖氨酸和组氨酸呈极显著负相关(–0.52和–0.54);总多酚、总黄酮和总皂苷之间均具有极显著相关性。13个品质性状分别隶属于5个主成分,累计贡献率为92.6%。25份种质材料可以聚类为4组,在品质和遗传距离方面各组群之间差异较大。利用主成分分析和聚类分析对藜麦品质进行综合评价,可避免单一指标的片面性和不稳定性,为藜麦的利用和品质育种提供重要的科学依据。
Quinoa（Chenopodium quinoa Willd.） is one of the oldest crops in the American continent.It has been recognized as a nutritious grain all over the world.In this experiment,thirteen indicators of quality in 25 quinoa germplasms were analyzed using principal component analysis（PCA） and cluster analysis.The fat had significantly positive correlation with total flavonoids（0.55）,and remarkably negative correlation with lysine and histidine（–0.52 and –0.54）;and the correlation among total flavonoids,polyphenols and saponins was positively significant.Thirteen traits belonged in five principal components,with a total contribution rate of 92.6%.Twenty-five quinoa germplasms were divided into four categories through cluster analysis,and there were larger different in genetic distance and quality between categories.It is an effective way to comprehensively evaluate the quinoa quality by PCA and cluster analysis,which could not only avoid the bias and the instability of single factor analysis,but also provide an important scientific basis for quinoa application and quality breeding.
出处
《作物学报》
CAS
CSCD
北大核心
2017年第3期464-470,共7页
Acta Agronomica Sinica
基金
科技部科技伙伴计划项目(KY201402023)
中国农业科学院科技创新工程项目资助~~
关键词
藜麦
品质性状
相关性
主成分分析
聚类分析
Quinoa
Quality traits
Correlation
Principal component analysis
Cluster analysis
