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Principal component analysis (PCA) score plots showing the variation in plant groups from the microplot experiment in the Bacillus firmus-treated plants (BfH) and the negative (NC) and positive (PC) controls. The first three principal components (PCA 1, 2 and 3) explain more than 69% of observed variability and are presented in the combinations (a) PCA 1–2; (b) PCA 1–3; and (c) PCA 2–3.
