Comparison of multidimensional data analysis methods describing the growth of young apple trees
Andrzej Gregorczyk*, Krystyna Ostrowska**, Piotr Chełpiński**
**Department of Plant Physiology
**Słowackiego 17, 71-434 Szczecin, Poland
**Department of Pomology
**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.