期刊论文详细信息
Genetics Selection Evolution
Changes in the expression of genetic characteristics across cohorts in skeletal deformations of farmed salmonids
Tuija Paananen2  Ossi Ritola2  Antti Kause1 
[1] MTT Agrifood Research Finland, Biotechnology and Food Research, Biometrical Genetics, 31600 Jokioinen, Finland;Finnish Game and Fisheries Research Institute, Tervo Fisheries Research and Aquaculture, 72210 Tervo, Finland
关键词: salmonids;    heritability;    deformation;    animal health;    animal breeding;   
Others  :  1093965
DOI  :  10.1186/1297-9686-39-5-529
 received in 2006-11-02, accepted in 2007-04-24,  发布年份 2007
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【 摘 要 】

Genetic analysis of disorder incidence in farmed animals is challenged by two factors. Disorders in different cohorts and environments could be caused by different factors, leading to changes in heritability and to less than unity genetic correlations across cohorts. Moreover, due to computational limitations, liability scale heritabilities at very low incidence may differ from those estimated at higher incidence. We tested whether these two dilemmas occur in skeletal deformations of farmed salmonids using multigeneration data from the Finnish rainbow trout breeding programme and previous salmonid studies. The results showed that heritability was close to zero in cohorts in which management practices maintained incidence at a low level. When there was a management failure and incidence was unusually high, heritability was elevated. This may be due to computational limitations at very low incidence and/or because deformations are induced by different factors in different cohorts. Most genetic correlations between deformations recorded in different generations were weakly to strongly positive. However, also negative correlations between generations were present, showing that high liability at one time can be genetically connected to low liability at another time. The results emphasise that genetic architecture of binary traits can be influenced by trait expression.

【 授权许可】

   
2007 INRA, EDP Sciences

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