scholarly journals Development of molecular markers for genetic stock identification of chum salmon

2002 ◽  
Vol 68 (sup1) ◽  
pp. 353-356 ◽  
Author(s):  
SYUITI ABE ◽  
SHUNPEI SATO ◽  
HIROYUKI KOJIMA ◽  
JUNKO ANDO ◽  
HIRONORI ANDO ◽  
...  
2004 ◽  
Vol 24 (2) ◽  
pp. 672-685 ◽  
Author(s):  
Gary A. Winans ◽  
Melanie M. Paquin ◽  
Donald M. Van Doornik ◽  
Bruce M. Baker ◽  
Perry Thornton ◽  
...  

2011 ◽  
Vol 94 (4) ◽  
pp. 663-668 ◽  
Author(s):  
W. Tyler McCraney ◽  
Edward V. Farley ◽  
Christine M. Kondzela ◽  
Svetlana V. Naydenko ◽  
Alexander N. Starovoytov ◽  
...  

2006 ◽  
Vol 9 (2) ◽  
pp. 179-191 ◽  
Author(s):  
Shogo Moriya ◽  
Shunpei Sato ◽  
Tomonori Azumaya ◽  
Osamu Suzuki ◽  
Shigehiko Urawa ◽  
...  

1994 ◽  
Vol 51 (S1) ◽  
pp. 95-113 ◽  
Author(s):  
Gary A. Winans ◽  
Paul B. Aebersold ◽  
Shigehiko Urawa ◽  
Nataly V. Varnavskaya

A three-agency program was initiated in 1989 to develop a new multilocus genetic baseline for chum salmon (Oncorhynchus keta) in Japan and Russia for use in stock identification; allele frequencies at 77 allozyme loci are reported in 38 samples covering most of its north–south limits of distribution in Asia. In a 62-locus data set for 17 Japanese and 12 Russian samples, average heterozygosity ranged from 0.066 to 0.087 (mean 0.079) and the average number of P0.95 and P0.99 loci was 14 and 26, respectively. Tests of year-to-year variation in allele frequencies were not significant at five of six locations. For the P0.95 loci, FST values ranged from 0.007 (sMDH-B1*) to 0.154 (mAAT-2*) and averaged 0.038. A clear distinction between Russian and Japanese samples was observed at Nei's D = 0.006, and genetic differentiation generally followed a regional pattern within each country. Principal component analysis of the P0.95 loci revealed a large difference between Japanese and Russian samples. Four loci (sAAT-1,2*, mAAT-2*, LDH-A1*, and PEPLT*) had high loadings on the first two principal components. Analyses of a simulated fishery with 200 fish revealed a high degree of precision in estimating contributions to seven population groups and to country of origin.


2017 ◽  
Vol 74 (8) ◽  
pp. 2159-2169 ◽  
Author(s):  
Mikhail Ozerov ◽  
Juha-Pekka Vähä ◽  
Vidar Wennevik ◽  
Eero Niemelä ◽  
Martin-A. Svenning ◽  
...  

2019 ◽  
Vol 39 (3) ◽  
pp. 415-425
Author(s):  
Hillary G. M. Ward ◽  
Paul J. Askey ◽  
Tyler Weir ◽  
Karen K. Frazer ◽  
Michael A. Russello

2010 ◽  
Vol 103 (3) ◽  
pp. 917-924 ◽  
Author(s):  
Lelania Bourgeois ◽  
Walter S. Sheppard ◽  
H. Allen Sylvester ◽  
Thomas E. Rinderer

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