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Comparison of multidimensional data analysis methods describing the growth of young apple trees

Andrzej Gregorczyk*, Krystyna Ostrowska**, Piotr Chełpiński**

**Department of Plant Physiology
**Agricultural University
**Słowackiego 17, 71-434 Szczecin, Poland
**Department of Pomology
**Agricultural University
**Janosika 8, 71-424 Szczecin, Poland

In order to assess the usefulness of cultivar-rootstock combinations three complimentary methods of multidimensional data analysis were used: the method of principal components, cluster analysis, and multidimensional comparative analysis (MCA). These methods made it possible to separate the groups of cultivars differing from each other and rank the cultivars within the groups.

‘Szampion’/M7 and ‘Empire’/M26 turned out to be the most useful for intensive apple orchards of all the 22 combinations under study. Among the cultivars grafted on different kinds of rootstock M9 proved to be the best and ‘Antonówka’ and MM106 the worst.

Gregorczyk A., Ostrowska K., Chełpiński P., 1998. Comparison of multidimensional data analysis methods describing the growth of young apple trees. Folia Horticulturae 10/1: 75-84.