Multivariate strategies for classification of Eucalyptus globulus genotypes using carbohydrates content and NIR spectra for evaluation of their cold resistance
Multivariate strategies for classification of Eucalyptus globulus genotypes using carbohydrates content and NIR spectra for evaluation of their cold resistance
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DOI：
10.1002/cem.1126
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发表时间：
2008-03-01
影响因子：
2.4
通讯作者：
Valenzuela, Sofia
中科院分区：
文献类型：
--
作者：
Castillo, Rosario;Otto, Matthias;Valenzuela, Sofia
通过近红外（NIR）光谱和蓝桉基因型的碳水化合物含量数据测试和比较了不同的分类策略。用于分类的策略是针对碳水化合物含量数据和单一近红外光谱数据的正则判别分析（RDA）、用于将变量减少到近红外光谱分数矩阵的偏最小二乘法（PLS）加上用于分类的RDA（分数上的PLS/RDA）和PLS判别分析（PLS-DA）。在 PLS/RDA 评分方法中测试了不同类型的判别函数。使用 NIR 评分数据获得的结果优于使用碳水化合物含量数据获得的结果。指定 PLS/RDA 评分策略之间的比较显示，当使用与线性判别分析 (LDA) 和二次判别分析 (QDA) 有关的参数 lambda 和 gamma 时，基因型的最佳分类，错误分类的风险为 0%，在按林业公司和冷室对基因型进行分类的外部验证集中正确分配的样本为 100%，而按耐寒程度对基因型进行分类的外部验证显示为 70 和90% 的样本正确分配为合理且耐受的基因型。版权所有 (c) 2008 John Wiley & Sons, Ltd.
Different strategies of classification are tested and compared over near infrared (NIR) spectra and carbohydrates content data of genotypes of Eucalyptus globulus. Strategies used for the classification were regularized discriminant analysis (RDA) for carbohydrates content data and for the singular NIR spectral data, partial least squares (PLS) for reduction of variables to the scores matrix of NIR spectra plus RDA for classification (PLS/RDA on scores) and PLS-discriminant analysis (PLS-DA). Different types of discriminant functions were tested in PLS/RDA on scores method. Results obtained using NIR scores data outperformed those results obtained with carbohydrate content data. Comparison between specified PLS/RDA on scores strategies showed best classifications of the genotypes when parameters lambda and gamma pertaining to linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) were used, with 0% risk of misclassification and 100% of correctly assigned samples in the external validation sets for classification of the genotypes by forest company and by cold chamber while external validation for classification of genotypes by cold resistance degree shows 70 and 90% of correctly assigned samples for sensible and tolerant genotypes. Copyright (c) 2008 John Wiley & Sons, Ltd.