Table 1. Identification and survival for the provenances studied.
Provenance a) Geographical location and elevation Annual mean
temperature
(ºC) 		Continentality
index 		Degree
days +5° 		Field
survival
(%)
Lat. (Nº) Long. (Eº) Alt. (m)
Larix sukaczewii Dyl.
1 Nizhnij Novgorod 57°30´ 45°10´ 145 3.1 44 1446 81
2 Plesetsk 63°05´ 40°21´ 100 1.1 40 1037 84
6 Perm 55°43´ 60°27´ 480 2.2 49 1441 79
7 Ufa 54°58´ 60°07´ 380 1.9 52 1480 78
Larix sibirica Ledeb.
9 Boguchany 58°39´ 97°30´ 158 –2.6 64 1204 84
10 Novokuznetsk 53°48´ 88°00´ 400 1.9 54 1753 86
a) According to Abaimov et al. (2002).
Table 2. The effects of provenance and block on tree vitality and height.
Variable df a) MS b) F-value p-value
Vitality
Provenance 5 0.129 0.601 0.699
Block 7 0.489 2.284 0.052
Error 33 0.214    
Total 45 0.247    
Height
Provenance 5 2911 6.893 <0.001
Block 7 559 1.322 0.271
Error 33 422    
Total 45 720    
a) degrees of freedom
b) mean sum of squares
Table 3. The mean tree vitality expressed by a class code and tree height (in cm) after 5 years.
Provenance Tree vitality Tree height
Mean SD a) p-value b) Mean SD a) p-value b)
1 Nizhnij Novgorod 1.96 0.47 0.973 168 22 -
2 Plesetsk 1.82 0.54 0.820 145 26 0.498
6 Perm 2.03 0.46 0.996 127 15 0.020
7 Ufa 2.17 0.52 - 111 17 <0.001
9 Boguchany 1.81 0.49 0.765 132 26 0.058
10 Novokuznetsk 1.98 0.59 0.984 131 19 0.059
a) standard deviation
b) p-values obtained by Scheffe’s test. Statistically significant values (p < 0.05) are in bold.
Table 4. Pearson correlation coefficients between the measured variables (n = 6) and p-values (in parenthesis).
Variable Vitality Tree height
Continentality index –0.049 (0.927) 0.493 (0.320)
Degree days +5 ºC 0.641 (0.170) –0.217 (0.679)
Latitude –0.747 (0.088) 0.446 (0.375)
Longitude –0.149 (0.778) –0.425 (0.401)