Lowe et al.: Geographic variation in genetic and growth patterns of Pleurogrammus monopterygius 
507 
no obvious patterns, and the variances of the 
residuals were homogeneous by age and area, 
and by length and area, for the age-length and 
length- weight AN OVA models, respectively. 
In order to evaluate the AN OVA model as- 
sumption of equality of variances among fac- 
tors, the distributions of the raw length data 
by age within each area were examined, and 
the length distributions at age among areas 
were compared (Fig. 2), and suggested that the 
variances do not appear different. Examination 
of the distributions of the raw weight data by 
length within each area, and a comparison of 
the weight distributions at length among areas 
(Fig. 3), also suggested fairly homogeneous vari- 
ances. It is noted that the ANOVA model is ro- 
bust to small departures from the assumption 
of equal variances (Neter et. al, 1985). 
Figure 4 
Estimated von Bertalanffy growth curves for Atka mackerel by 
fishery management area (541=eastern Aleutian, 542=central 
Aleutian, 543=western Aleutian Islands, and 610=western Gulf 
of Alaska) based on data collected from resource assessment sur- 
veys of the Aleutian Islands and Gulf of Alaska during 1993 and 
1994, respectively. 
Genetic data 
Electrophoretic variation was observed at 30 of the 
37 loci (Table 6). A majority of the variable loci (83%) 
had 2 to 4 alleles per locus. IDHP-1*, PE P-C*, and 
PGK-1* had 5 alleles each, API -2* had 6 alleles, and 
ADA* had 9 alleles. There were 14 P 0 95 loci; the fre- 
quency of the common allele at four of these loci 
(ADA*, AM-2*, ALAT*, and PEP-C *) was approxi- 
mately 0.50. 
One out of the 120 tests (0.8%) deviated from ex- 
pected Hardy- Weinberg proportions (at the P<0.05 
level) in the four samples. The Attu Island sample 
had an excess of heterozygotes for ADA* (P=0.013). 
