2004
DOI: 10.1038/sj.hdy.6800462
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Genetic covariance structure of growth in the salamander Ambystoma macrodactylum

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Cited by 23 publications
(20 citation statements)
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“…The present study showed that sole (Solea solea) housed individually, in the absence of social interactions, still exhibits high individual differences in feed intake, growth and behaviour (on average CV of 23, 25 and 100% respectively), which has also been observed in other species when held in isolation [9], [10], [11], [50]. Growth variation of sole housed individually was lower than when communally held in a group of 100 fish (CV was 25% in period 2 compared to 70% in period 1, P<0.05).…”
Section: Discussionsupporting
confidence: 74%
“…The present study showed that sole (Solea solea) housed individually, in the absence of social interactions, still exhibits high individual differences in feed intake, growth and behaviour (on average CV of 23, 25 and 100% respectively), which has also been observed in other species when held in isolation [9], [10], [11], [50]. Growth variation of sole housed individually was lower than when communally held in a group of 100 fish (CV was 25% in period 2 compared to 70% in period 1, P<0.05).…”
Section: Discussionsupporting
confidence: 74%
“…Thus, while our results do not provide evidence of a constraint to the evolution of larger size, they do indicate that evolutionary change will be restricted to an increase (or decrease under negative selection) in the height of the mean growth curve. In contrast, other laboratory and field studies have found that additional eigenvectors can explain substantial genetic variance (e.g., Cheverud et al 1983b;Ragland and Carter 2004;Wilson et al 2005b) that may reflect segregating alleles with antagonistic effects at different ages . Under such conditions then the population growth curve might evolve in different directions (e.g., increased size early in life and decreased size later) under an appropriate selection regime.…”
Section: Discussionmentioning
confidence: 81%
“…Orthogonal Legendre polynomials were used as basis functions (Kirkpatrick et al ., ; Meyer, ). A model using three polynomials (including an intercept) to fit the additive genetic effects was deemed best using BIC scores in a backward selection process to choose among models following (Ragland & Carter, ):BIC=2(maximized log likelihood)+k×ln(n)…”
Section: Methodsmentioning
confidence: 99%