NDLI: Estimating the origins of adult chum salmon Oncorhynchus keta in the Okhotsk and Sea of Japan regions using discriminant analysis of scale characteristics

Content Provider	Springer Nature Link
Author	Saito, Toshihiko
Copyright Year	2017
Abstract	Linear discriminant analysis (LDA) based on scale patterns was used to develop a methodology of estimating regional origins of chum salmon. Age-4 fish were sampled in 2004–2006 from 12 river stocks of the Okhotsk and Sea of Japan (SJ) regions from Hokkaido to Honshu. The scale radius at the first annulus of each fish was separated into i intervals and the radius of each interval was divided by the number of scale circuli within the interval to quantify scale patterns. The i variables and five other morphometric measurements were used in a stepwise LDA to classify the following regional groups: Hokkaido and Honshu (I), Okhotsk and SJ (II), Okhotsk, Hokkaido SJ and Honshu SJ (III). Percentages of correctly classified fish (hit rates) improved with increased i but tended to be close to asymptotic values in all cases. Hit rates for each river stock in case (I) ranged from 74.3% to 100% (mean 97.2%), estimated by direct maximum likelihood methods using predictor variable sets from the best models for LDAs. Hit rates were lower in cases (II) and (III). This study demonstrated that scale patterns are useful for classifying the origins of chum salmon, at least between Hokkaido and Honshu.
Starting Page	383
Ending Page	400
Page Count	18
File Format	PDF
ISSN	09199268
Journal	Fisheries Science
Volume Number	83
Issue Number	3
e-ISSN	14442906
Language	English
Publisher	Springer Japan
Publisher Date	2017-04-03
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Direct maximum likelihood method Linear discriminant analysis Regional stock classification Scale patterns Fish & Wildlife Biology & Management Freshwater & Marine Ecology Food Science
Content Type	Text
Resource Type	Article
Subject	Aquatic Science

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