Sentence examples for vegetable species from inspiring English sources

The first two PCs explain 85.6% from model variance and can perform a relatively good separation between some vegetable species.

Secondly, it was valuable for selecting the vegetable species which present the highest/minimum risk of a negative impact on the food chain and human health.

The different accumulation of metals in vegetables can be observed from the results obtained by PCA sorting of vegetable species using PCA3-plant model.

In this case, supplementation of the PCA3 - plant model with agrochemical parameters (clay content and pH) does not render better ordering of vegetable species (see Additional file 3).

In each sampling point three specimens of each vegetable species were randomly sampled, then intensely rinsed with tap water and distilled water and stored in polyethylene bags.

Simulation results can be applied to other vegetable species and to determine the performance of this process on a larger scale plant.

Figure 6 presents the results of PCA sorting of vegetables species, applied to THQ data for investigated metals and vegetables.

Figure 6 Biplot of PC1 and PC2 for THQm data grouped on vegetables species, used PCA- THQ model.

Medina et al. (2009) evaluated the use of SMC of Agaricus bisporus and Pleurotus ostreatus for the seedlings' production of different vegetables species.

(PNG 102 KB) 13065_2012_542_MOESM3_ESM.png Additional file 3: Figure 5A: Biplot of PC1 and PC2 for vegetables data grouped on vegetables species, used PCA3-plant model supplemented with agrochemical parameters pH and clay content.

This model was computed also only with heavy metals contents of vegetables and its PC1 and PC2 biplot is presented in Figure 5. Figure 5 Biplot of PC1 and PC2 for vegetables data grouped on vegetables species, used PCA3-plant model.