556 



Fishery Bulletin 104(4) 



Table 5 



(A) Average numbers of allocations (over 20 replicates) to 

 the different stocks under an uneven sample size distri- 

 bution: TornW, n = 60. Simo, )!=20, li, n = 30, Oulu, n=5. 

 Neva, /! = 10. Stocks correspond to five different rivers: 

 Tornionjoki (TornWi. Simojoki iSimo), lijoki (lii, Oulujoki 

 I Oulu I, and Neva. The number of baseline individuals 

 available from each of the five stocks was 30. The column 

 with the heading "Other" refers to additional stocks 

 inferred by the method. The results in (B) are otherwise 

 based on an analogous configuration, except that 5% of 

 the marker data was randomly set as missing values. 



Allocation 



Origin 



TornW Simo li Oulu Neva Other 



TornW 



Simo 



Ii 



Oulu 



Neva 



TornW 



Simo 



Ii 



Oulu 



Neva 



47.5 

 0.6 

 3.1 

 0.3 

 0.0 



47.4 

 0.6 

 3.5 

 0.3 

 0.0 



1.2 

 18.9 

 1.2 

 0.0 

 0.1 



1.7 

 18.4 

 1.1 

 0.1 

 0.1 



7.9 

 0.3 

 25.3 

 0.1 

 0.1 



7.2 

 0.8 

 25.0 

 0.1 

 0.0 



3.2 

 0.2 

 0.5 



4.7 

 0.0 



3.6 

 0.3 

 0.5 

 4.6 

 0.1 



0.0 

 0.1 

 0.0 

 0.0 

 9.9 



0.2 

 0.0 

 0.0 

 0.0 

 9.9 



0.3 

 0.0 

 0.0 

 0.0 

 0.0 



0.2 

 0.1 

 0.1 

 0.0 

 0.1 



stock mixture analyses. Minor deviations from HWE are 

 not expecteci to notably affect our inference method; how- 

 ever, presence of samples from small stocks under strong 

 inbreeding could result in an overestimation of k when 

 there is limited baseline information available. Samples 



from such stocks would tend to be split into parts by the 

 model if no baseline information about the stock allele 

 frequencies can be used to identify the joint origin. 



In addition to the molecular markers, auxiliary infor- 

 mation, such as simultaneous catch at a common geo- 



