Genetic correlations between survival of Atlantic salmon in challenge and field tests

Gjøen, Hans Magnus; Refstie, Terje; Ulla, Ottar; Gjerde, Bjarne

doi:10.1016/s0044-8486(97)00203-2

Cited by 106 publications

(96 citation statements)

References 29 publications

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“…Likewise, work on a fruit fly Drosophila melanogaster has illustrated that effects of different types of stress are not always strongly genetically correlated [5]. In fish, genetic correlations between multiple diseases, in turn, have been either positive, negative or approximately zero [9,11,13].…”

Section: Common Genetic Determination?mentioning

confidence: 99%

Changes in the expression of genetic characteristics across cohorts in skeletal deformations of farmed salmonids

Kause

Ritola²,

Paananen³

2007

Genet. Sel. Evol.

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-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.animal breeding / animal health / deformation / heritability / salmonids

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Section: Common Genetic Determination?mentioning

confidence: 99%

Changes in the expression of genetic characteristics across cohorts in skeletal deformations of farmed salmonids

Kause

Ritola²,

Paananen³

2007

Genet. Sel. Evol.

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“…Resistances to different mortality factors do not necessarily share a common genetic determination (Gjøen et al, 1997;Henryon et al, 2005;Bubliy & Loeschcke, 2005;Ødega˚rd et al, 2007 ;Kjøglum et al, 2008). This is for example highlighted by the fact that moderate genotyperenvironment interaction was also found for rainbow trout survival during the grow-out period, as shown by the non-unity genetic correlations between environments (Vehvila¨inen et al, 2008 ;present study).…”

Section: (Iii) Factors Causing Weak Correlations Between Life Stagesmentioning

confidence: 86%

“…At the same time, however, these studies report that genetic correlations with other mortality factors, even within life stage, can be weak. In Atlantic salmon (Salmo salar), resistance against different bacterial diseases is usually favourably genetically correlated, whereas the genetic correlations between bacterial and viral diseases are weak or even negative (Gjøen et al, 1997 ;Henryon et al, 2005 ;Ødega˚rd et al, 2007 ;Kjøglum et al, 2008). Bubliy & Loeschcke (2005) also showed that survival after different stressors in a fruit fly (Drosophila melanogaster) exhibit correlated responses to selection, even though results did not support existence of a single resistance mechanism.…”

Section: (I) Survival Within Fingerling Stagementioning

confidence: 99%

“…5 years (Ernande et al, 2003(Ernande et al, , 2004De´gremont et al, 2007). However, Gjøen et al (1997) studying resistance against a pathogenic bacteria Aeromonas salmonicida in Atlantic salmon, found a strong (0 . 95) genetic correlation between juvenile pre-smolt challenge test and post-smolt growout field data.…”

Section: (I) Survival Within Fingerling Stagementioning

confidence: 99%

“…bacterial versus viral diseases, can be weakly or even negatively genetically correlated (e.g. Gjøen et al, 1997;Cotter et al, 2004 ;Bubliy & Loeschcke, 2005 ;Ødega˚rd et al, 2007 ;Kjøglum et al, 2008). Most of the studies mentioned above concentrate on a relatively short period of time, a specific disease, or are conducted within one life stage of an animal.…”

Section: Introductionmentioning

confidence: 99%

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Genetic architecture of rainbow trout survival from egg to adult

Vehviläinen

Kause

Koskinen³

et al. 2010

Genet. Res.

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SummarySurvival from birth to a reproductive adult is a challenge that only robust individuals resistant to a variety of mortality factors will overcome. To assess whether survival traits share genetic architecture throughout the life cycle, we estimated genetic correlations for survival within fingerling stage, and across egg, fingerling and grow-out stages in farmed rainbow trout. Genetic parameters of survival at three life cycle stages were estimated for 249 166 individuals originating from ten year classes of a pedigreed population. Despite being an important fitness component, survival traits harboured significant but modest amount of genetic variation (h 2 =0 . 07-0 . 27). Weak associations between survival during egg-fry and fingerling periods, between early and late fingerling periods (r G =0 . 30) and generally low genetic correlations between fingerling and grow-out survival (mean r G =0 . 06) suggested that life-stage specific survival traits are best regarded as separate traits. However, in the sub-set of data with detailed time of death records, positive genetic correlations between early and late fingerling survival (r G =0 . 89) showed that during certain years the best genotypes in the early period were also among the best in the late period. That survival across fingerling period can be genetically the same, trait was indicated also by only slightly higher heritability (h 2 =0 . 15) estimated with the survival analysis of time to death during fingerling period compared to the analysis treating fingerling survival as a binary character (h 2 =0 . 11). The results imply that (1) inherited resistance against unknown mortality factors exists, but (2) ranking of genotypes changes across life stages.

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