2013
DOI: 10.1016/j.aquaculture.2013.08.009
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Quantitative genetic variation of resistance against Piscirickettsia salmonis in Atlantic salmon (Salmo salar)

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Cited by 77 publications
(75 citation statements)
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“…The discrepancies between family rankings observed in our study suggested that the ranking of families will vary substantially depending on the models used for genetic evaluation. However, results from other studies showed very high correlations between EBVs for different models and trait definitions (Bangera et al., ; Kettunen, Serenius, & Fjalestad, ; Yáñez et al., ).…”
Section: Discussionmentioning
confidence: 86%
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“…The discrepancies between family rankings observed in our study suggested that the ranking of families will vary substantially depending on the models used for genetic evaluation. However, results from other studies showed very high correlations between EBVs for different models and trait definitions (Bangera et al., ; Kettunen, Serenius, & Fjalestad, ; Yáñez et al., ).…”
Section: Discussionmentioning
confidence: 86%
“…In the present study, heritability estimates of 0.16 and 0.17 were obtained for resistance to columnaris when survival time was used for parameter estimation. In other studies, heritability estimates for resistance to bacterial diseases measured as a continuous trait ranged between 0.18 and 0.40 for resistance to piscirickettsiosis in Atlantic salmon (Yáñez, Bangera, Lhorente, Oyarún, & Neira, ) and 0.35 for resistance to bacterial cold‐water disease (BCWD) in rainbow trout (Silverstein et al., ). In the present study, when survival was considered as a binary, heritability estimates of 0.14 and 0.15 were obtained for binary linear animal and sire‐dam models, respectively, which were comparable to previous studies, for example, 0.17 for resistance to francisellosis disease in farmed Atlantic cod (Bangera et al., ).…”
Section: Discussionmentioning
confidence: 96%
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“…Model comparisons in terms of the accuracy of selection to predict family survival indicated that the linear animal model and the Cox model performed equally although the latter model utilized all data in the analysis. As reported in the previous studies, the use of the Cox model offered slight advantage over the linear animal and threshold models for genetic analyses of disease resistance in Atlantic salmon (Ødegård et al, ; Yáñez et al, ) and Atlantic cod (Kettunen, Serenius, & Fjalestad, ). However, the Cox sire–dam model outperformed the linear binary and threshold models in predicting family EBVs for resistance to white spot syndrome virus (WSSV) in the Pacific white shrimp (Gitterle et al, ).…”
Section: Discussionmentioning
confidence: 90%