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Biplot of the PCA of seed morphological traits in Medicago spp. PC1 and PC2 are displayed, representing the two principal components that explain 81% of the variance in the data.

Journal: Scientific Reports

Article Title: Analyzing Medicago spp. seed morphology using GWAS and machine learning

doi: 10.1038/s41598-024-67790-4

Figure Lengend Snippet: Biplot of the PCA of seed morphological traits in Medicago spp. PC1 and PC2 are displayed, representing the two principal components that explain 81% of the variance in the data.

Article Snippet: Figure 4 Scatter plots, histograms, and heatmaps reveal correlations among seed morphology traits based on Pearson’s r. Figure 5 Biplot of the PCA of seed morphological traits in Medicago spp.

Techniques:

PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of leaf samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

Journal: Frontiers in Plant Science

Article Title: Comparative metabolomics of leaves and stems of three Italian olive cultivars under drought stress

doi: 10.3389/fpls.2024.1408731

Figure Lengend Snippet: PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of leaf samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

Article Snippet: The Principal Component Analysis (PCA) biplots were realized with Rstudio (ver.

Techniques: Control

PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of stem samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

Journal: Frontiers in Plant Science

Article Title: Comparative metabolomics of leaves and stems of three Italian olive cultivars under drought stress

doi: 10.3389/fpls.2024.1408731

Figure Lengend Snippet: PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of stem samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

Article Snippet: The Principal Component Analysis (PCA) biplots were realized with Rstudio (ver.

Techniques: Control