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Fig. 5 | Genetics Selection Evolution

Fig. 5

From: A Bayesian generalized random regression model for estimating heritability using overdispersed count data

Fig. 5

Variance components estimated from log transformed faecal egg counts using WOMBAT. (a) Additive genetic (AG, brown), permanent environmental (PE, green) and maternal (MAT, pink) variance components for a full rank analysis with two Legendre polynomials and two eigenfunctions (K=M=2, solid curves) and for a reduced rank analysis with one eigenfunction (K=2, M=1 dotted curves). (b) Additive genetic (AG, brown), permanent environmental (PE, green) and maternal (MAT, pink) variance components for a full rank analysis with three Legendre polynomials and three eigenfunctions (K=M=3 solid curves) and for a reduced rank analysis with two eigenfunctions (K=3, M=2 dotted curves). (c) Additive genetic (AG, brown), permanent environmental (PE, green) and maternal (MAT, pink) variance components for a full rank analysis with four Legendre polynomials and four eigenfunctions (K=M=4 solid curves) and a reduced rank analysis with two eigenfunctions (K=4, M=2 dotted curves). The transformation used was log(FEC+1). The model with four Legendre polynomials and two eigenfunctions (C, dotted lines) provided the best fit to the data under model selection based on AIC c

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