摘要
目的:研究基于氨基酸含量的不同玉米品种的品质差异。方法:以16个新玉系列玉米品种为研究对象,测定玉米籽粒中氨基酸含量,并以玉米籽粒中含有的16种氨基酸含量作为评价指标,进行主成分分析,并对玉米品种进行聚类分析。结果:玉米品种对16种氨基酸含量的影响顺序为Met>His>Tyr>Lys>Pro>Thr>Leu>Glu>Ser>Phe>Val>Asp>Ala>Ile>Gly>Arg;主成分分析可提取出2个主成分,其累计方差贡献率达90.227%;Ala、Ser、Glu、Leu、Asp、Phe和Met可作为不同玉米品种品质综合评价指标;基于氨基酸含量的品质优劣顺序,可将16个玉米品种划分为三大类。结论:新玉54号和新玉65号两个品种综合品质较好,新玉87号和新玉13号2个品种综合品质较差。
Objective:To study quality difference of different maize varieties based on amino acid content.Methods:16 Xinyumaize series varieties were used to be tested materials,amino acid content of corn kernel were measuredand used to be evaluation index and applied to principal component analysis and clustering analysis.Results:The affected order of maize varieties on 16 amino acid content was Met>His>Tyr>Pro>Thr>Leu>Glu>Ser>Phe>Val>Asp>Ala>Ile>Gly>Arg.2 principal components were extracted by principal component analysis,its accumulative variance contribution rate reach to 90.227%,Ala,Ser,Glu,Leu,Asp,Phe and Met can be used to comprehensive assessment index of 16 maize varieties.Based on amino acid content,16 maize varieties were divided into three groups by clustering.Conclusion:Comprehensive quality of both varieties Xinyu54 and Xinyu65 were better,those of Xinyu87 and Xinyu13 were relatively poor.
作者
孙强
郭永霞
SUN Qiang;GUO Yong-xia(Heilongjiang Bayi Agricultural University,Daqing,Heilongjiang 163319,China;National Research Center for Miscellaneous Grain Engineering Technology,Daqing,Heilongjiang 163319,China)
出处
《食品与机械》
北大核心
2022年第3期38-43,50,共7页
Food and Machinery
基金
黑龙江省自然科学基金面上项目(编号:C2018046)
黑龙江八一农垦大学博士启动基金项目(编号:XDB2014-13)。
关键词
玉米
品质评价
氨基酸含量
主成分分析
corn
quality assessment
amino acid content
principal component analysis