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For comparative purposes, variance components estimated using the linear animal model were also transformed to the liability scale using the standard transformation [ 19].
The genetic SD for bTB susceptibility, estimated using the linear animal model, was lowest for the extreme bTB prevalence categories, with the genetic SD of very low (<0.25 prevalence) and very high (>0.75 prevalence) prevalence categories being approximately equal to half that of the low (0.25 to 0.5 prevalence) and high (0.5 to 0.75 prevalence) prevalence categories (Table 3).
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In the second step, we will use the linear animal model including associative effects to estimate genetic parameters [ 8, 13, 20].
To test whether the genetic correlations between animal types differed from one, using the linear model, a likelihood ratio test was performed between each model and an analysis where the genetic correlation between animal types was constrained to be one.
Differential expression between conNrg1 mutant and vehicle control animals was calculated for each time point using the Linear Models for Microarray data (LIMMA) package (Smyth, 2004).
I'm using the linear method".
Multiple-fraction treatments were correlated using the linear quadratic and linear quadratic-linear/universal survival models.
Heritabilities were estimated using the univariate linear animal models described above.
When using the traditional linear animal model, the (direct) additive genetic standard deviation of survival days ranged from 16 through 44 days, and heritability ranged from 2 through 10%.
Using a linear animal model, the estimate of heritability of susceptibility to M. bovis infection was greatest for animals in herd-episodes of very high prevalence of bTB infection (>0.75 prevalence) and lowest for those in herd-episodes of very low prevalence (<0.25 prevalence).
The variable 30dLW was analysed for 3829 lambs using a linear animal mixed model, with fixed effects as described in Table 1.
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