Analysis of Molecular Variance detected no genetic structure at various hierarchical levels (Table 3), with 96.88% of variation accounted for at the within population (ie, within country) level, with only 2.15% variation observed among groups (ie, Asian, African and Australian continents).
In further analyses of the bioassay data from Experiment 3, in which the F-test in the analyses of variance detected no significant differences between the volunteer treatments, the anticipated risk generated by these treatments was arbitrarily rated from 1 to 4, respectively.
Wavelet variance detected finer scales of pattern (240 m) in transect temperature and suggested patterns in plant diversity at scales of 460 and 1100 m.
By retaining locational information, only the wavelet transform and associated position variance detected the abrupt edge in the simulated data series.
The first three cumulatively accounted for 18.7% of the total variance detected, comprising 10.2%, 4.9% and 3.6% from the first, second and third vectors respectively.
However, the small genetic variance detected was significant for almost all comparisons.
Consistent with these fitness observations, an analysis of variance detected a significant effect of genetic background (Table 2).
Repeated analysis of variance detected a significant decrease of vascular resistance in the OA (p=0.0167) with adjunctive dorzolamide treatment.
Similarly, analysis of variance detected a strong genotype effect in the transcriptome responses of poplar leaves to drought [ 14].
There were significant differences in variance detected between the mean absorbance values at t = 360 mins, F14, 30 = 3253.911, p < 0.0001.
For example, at the low false-positive rate (neutral genome proportion) of 0.0005, the proportion of genetic variance detected increases from 25%to50%0%.
