Schriften zu Genetischen Ressourcen - Genres

A. SENULA and E.R.J. KELLER
Tab. 1: Eigenvalue analysis of 16 morphological characters in garlic
Principal component eigenvalue % variability accumulated variability
1 4.55 28.5 28.5
2 2.04 12.7 41.2
3 1.58 9.9 51.1
4 1.15 7.2 58.3
5 1.11 6.9 65.2
The first five principal components gave eigenvalues greater than 1.0 and explained
together 65.2% of the accumulated variation. Correlations with values above / below
±0.6 were considered as most important for that principal component. The first component
was associated mainly with SCAPE, BSTR, PRFL, PRB and PH. The second
principal component was associated with SZC and BW. The third component was
associated with SHSV (Table 2).
Tab. 2: Correlation coefficients of 16 morphological characters
Character PC 1 PC 2 PC 3 PC 4 PC 5
BSTR -0.825 0 0 0.180 0.175
BW -0.129 0.665 -0.338 -0.508 0
CC -0.113 0.187 0.483 -0.346 0.305
HM 0.575 -0.249 -0.480 0 0.118
FA -0.198 0.430 0 0.185 0.110
FC 0.503 -0.169 -0.346 0.149 0.287
NRC -0.586 -0.159 0 0.335 -0.131
OC 0.323 -0.175 0 0.151 -0.516
PD 0.181 0.692 0 0.379 -0.216
PH 0.630 0.285 0 0.471 0
PRB 0.787 0 0.352 0 0.169
PRFL 0.876 -0.173 0.287 0 0.113
SCAPE 0.870 0.115 0.192 -0.277 0
SHSV 0 0.189 0.694 0.106 -0.430
SHTV -0.318 0.145 0.345 0.297 0.547
SZC 0.314 0.754 -0.182 0 0.100
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