An investigation of different grey coat colours and a connection between colour and age of horses was carried out with two Hungarian State Studs: Bábolna and Szilvásvárad. For objective measurement of coat colour Minolta Chromameter (Model CR-210) was used. The average value of L (lightness) level by Shagya and Pure Bred Arabian horses was 6
...3.83 ± 2.23, for Lipizzan horses was x=71.00 ± 2.29 respectively. In each stud older horses (over 10 years of age) have a flea-bitten colour stage, which decreased the L value considerably. Changes in coat colour in connection with the greying process did not show an evident tendency in the three breeds.
Mg-treatment increased solid soluble content in roots probably due to the larger assimilation area. The applied foliage fertilization affected inner colour intensity and uniformity in roots positively. The 2% Mg-sulphate solution affected pigment quantity favourably depending on varieties. Close correlation (r=0,71) was found between t
...he yellow (BX) and red (BC) pigments which indicates a similar biosynthetic pathway of the two compounds. The Mg-sulphate foliage fertilization improves quality considerably but the individual reaction of varieties needs further studies.
The increasing consumption of beer indicates the necessity of the thorough analysis of its composition. In this study, the total phenolic content, flavonoid content and colour intensity of 24 beer samples have been determined. The samples contained pale barley, dark barley, pale wheat and dark wheat beers. The aim of the study was to determine
...the amount of the antioxidant compounds in beer, as well as to find correlation between different beer types and the above mentioned parameters.
Dark barley samples contained phenolic compounds in the highest concentrations, and it can also be concluded that dark beers contain phenolic compounds and flavonoids in higher concentrations than pale beers in the case of barley and wheat samples.
According to the performed statistical analysis, these beer types cannot be differentiated based on the analysed parameters. The highest percentage of correctly classified samples could be observed in case of dark barley samples, but this value has only been 75%, and the total result of correctly classified cases was only 41.7%. The analysis of more samples and parameters is required to carry out a successful differentiation.