Abstract:
The main topic of this study was to use Principal Components & Classification Analysis (PC&CA) for statistic
evaluations of DPPH scavenge capacity of perennial feed from hill grassland related to fertilization cases. It was
harvested the plants at the end of May. StatSoft – STATISTICA, Version 10, performed PC&CA. DPPH values of
perennial feed were included as supplementary variable in the PC&CA complex matrix. Active variables of the matrix
were: soil humus, organic fertilization data with fermented sheep manure, mineral fertilization data based on nitrogen,
the gravimetric distribution in grassland covering of Trifolium sp. (Tsp.%), Calamagrostis epigejos (Ce%), Festuca
rupicola (Fr%), Inula britannica (Ib%), Filipendula vulgaris (Fv%). It was selected seven cases (with five replications):
three fertilized organic, three mineral and one unfertilized. The correlation coefficient between Filipendula vulgaris (%)
and DPPH scavenge capacity of perennial feed was 0.55. Calamagrostis epigejos (%) was influenced positively by the
mineral nitrogen fertilization, correlation coefficient being 0.91, but this perennial plant did not increase the DPPH
scavenge capacity of grassland feed (correlation coefficient was -0.47). Fermented sheep manure influenced positively
the Trifolium sp. (%) in permanent grassland covering, correlation coefficient being 0.88, but it did not improve
significantly the DPPH scavenge capacity of grassland feed in this period of the year (correlation coefficient was 0.01).
PC&CA can represent a promising statistic tool for monitoring the DPPH scavenges capacity of perennial grassland
forages as functional feed, depending on fertilization management.
