Acta Scientiarum Polonorum

Scientific paper founded in 2001 year by Polish agricultural universities

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Agricultura
(Agronomia) 11 (1) 2012
Title
USE OF PRINCIPAL COMPONENT ANALYSIS FOR THE ASSESSMENT OF SPRING WHEAT CHARACTERISTICS
Autor
Katarzyna Rymuza, Elżbieta Turska, Grażyna Wielogórska, Antoni Bombik
Keywords
direct sowing, grain yield, multidimensional methods, spring wheat, tillage
Abstract
In the studies, the analysis of the diversification of spring wheat characteristics was carried out depending on the growth system. Field experiment was carried out in years 2004-2006 at the Agricultural Experimental Station in Zawady, which is part of the Siedlce University of Natural Sciences and Humanities. The obtained correlation coefficients prove that the relation between wheat characteristics depends on the growth system. The applied method of principal component analysis (PCA) allowed a complex assessment of the relations between the characteristics. It also made it possible to reduce the original seven characteristics to three new variables, which carried over 75% of the information of the input data obtained from the direct sowing and almost 80% for the conventional tillage. The greatest discriminatory power, which diversified the studied plants, was shown by the mass of 1000 grains and grain yield.
Pages
79-90
Cite
Rymuza, K., Turska, E., Wielogórska, G., Bombik, A. (2012). USE OF PRINCIPAL COMPONENT ANALYSIS FOR THE ASSESSMENT OF SPRING WHEAT CHARACTERISTICS. Acta Sci. Pol. Agricultura, 11(1), 79-90.
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