principal components & classification analysis – tool for festuca rupicola biodynamic estimation depending on grassland fertilisation

The grassland forage must be monitored related to the quantitative and qualitative parameters. Festuca rupicola is one of the grass desired in grassland forage. It is necessary to have accessible statistical tools to monitor the Festuca rupicola biodynamic. The objective of the present research was to study that multivariate analysis technique Principal Components & Classification Analysis (PC&CA) can be used as a statistical tool for the estimation of Festuca rupicola biodynamic dependent of the fertilisation. The experimental results for Festuca rupicola cutting were collected in June and August 2009 from a hill permanent grassland ecosystem, with a substances flow anthropic influenced by the application of mineral and organic (sheep manure) fertilisers. The hill permanent grassland was situated in Banat, Romania, on a Calcic Luvisol. It was selected eight trials as PC&CA cases, the Festuca rupicola biodynamic data as supplementary variables, and as active variables the fertilisation data and ecological soil parameters. The correlation coefficients of Festuca rupicola biodynamic parameters (Fr1 and Fr2) were positively in mineral fertilisation case and negatively for sheep manure application. The Festuca rupicola biodynamic in June 2009 was high positive correlated with the Festuca rupicola biodynamic in August 2009 (0.835). The statistical data performed in the present study have shown that the multivariate analysis technique PC&CA can be used as a statistical tool for the estimation of Festuca rupicola biodymamic dependent of the mineral and/or organic fertilisation of hill grassland ecosystem.