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Analysis and Evaluation of Amino Acid Composition in Different Macadamia ternifolia Germplasm
Tao ZHANG, Haiyun SONG, Peng HE, Yuanrong WEI, Peng XU, Qiujin TAN, Shufang ZHENG, Zhenshi QIN, Yuming LU, Wenlin WANG
Journal of Agricultural Science and Technology    2022, 24 (1): 119-127.   DOI: 10.13304/j.nykjdb.2021.0413
Abstract   (211 HTML5 PDF(pc) (1666KB)(56)  

In order to understand the relationship between different Macadamia germplasms and the amino acid composition of nuts, and screen germplasm resources of Macadamia variety suitable for functional amino acid beverage processing, 10 varieties of excellent macadamia germplasm were selected as materials, and the compositions and contents of amino acids of different Macadamia germplasms were analyzed. The quality characteristics of different Macadamia germplasms were evaluated by hierarchical cluster analysis (HCA), orthogonal partial further squares discrimination analysis (OPLS-DA)and other multivariate statistical analysis methods. The results showed that there were a complete range of amino acids in Macadamia nuts, and there were significant differences in contents of Glu, Arg and Met among different Macadamia germplasm. 10 Macadamia germplasms were classified into 2 groups by HCA, and the class Ⅱ including 6 Macadamia germplasms with better quality. OPLS-DA indicated the model was accurate and reliable, and characteristic amino acid fractions with significant differences between the 2 classes were found, which proved that the six Macadamia germplasms of Class Ⅱ had better overall amino acid quality with high contents of Glu and Arg. They could be used as germplasm resources for selecting and breeding Macadamia varieties suitable for functional amino acid beverage processing, which provided theoretical support for the effective breeding of Macadamia varieties and the high value utilization of Macadamia amino acid quality.


Fig.4 OPLS-DA score scatter plot and VIP value of amino acid composition in Macadamia germplasms
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图4A是OPLS-DA分析得到的二维载荷图,反映了各变量对不同澳洲坚果种质果实在得分图上分布的影响,离密集区越远的变量对样本区分的影响越大,同时每一类别( Y)附近的变量( X)均在该类别的样品中相对含量较大[24]。图4B是变量重要性VIP值图,通常认为VIP>1.0的变量在判别过程中具有重要作用[24],VIP值越大,所对应的氨基酸组分在不同澳洲坚果种质果实间的差异越显著。结合图4,确定有5种氨基酸组分VIP值大于1,分别为Glu、Arg、氨基酸总量、必需氨基酸总量和药效氨基酸总量,这些组分离密集区较远,属于组间差异显著的特征性组分。由图4还可知,变量( X)明显靠近 Y(Ⅱ),表明20种氨基酸组分在第Ⅱ类澳洲坚果种质中相对含量较高,其中Glu、Arg和Asp含量及氨基酸总量、必需氨基酸总量、药效氨基酸总量最为明显。
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