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Prediction of offspring fitness based on parental genetic diversity in endangered salmonid populations

Authors :
Juha Merilä
Pierre-Alexandre Landry
Craig R. Primmer
Jorma Piironen
Esa Ranta
Nina Peuhkuri
Katriina Tiira
Susanna Pakkasmaa
Päivi Eskelinen
Source :
Journal of Fish Biology. 63:909-927
Publication Year :
2003
Publisher :
Wiley, 2003.

Abstract

By simulating all possible offspring genotypic combinations based on pair-wise matings in three vulnerable or endangered populations of salmonids (two Atlantic salmon Salmo salar and one Arctic charr Salvelinus alpinus), family level estimates of potential offspring genetic diversity were calculated using several commonly used genetic diversity estimators (d 2 EST, d 2 scaled-EST and H EST ). By using this approach. the genetic variability of offspring could be predicted accurately based solely on parental genotype data. In addition, significant associations between offspring genetic variability and fitness-related traits were observed in the two Atlantic salmon populations and these associations were consistent between fitness measures and either estimated or observed genetic diversity. This indicates that associations with offspring fitness measures can be predicted without genetic analysis of the offspring themselves.

Details

ISSN :
00221112
Volume :
63
Database :
OpenAIRE
Journal :
Journal of Fish Biology
Accession number :
edsair.doi...........8c2e10b3338f0c14e80eadd1f2eedf55
Full Text :
https://doi.org/10.1046/j.1095-8649.2003.00200.x