Skip to main content

Table 1 Estimates of variance component parameters and the narrow-sense heritability obtained by fitting generalised linear mixed (GLMM) and linear mixed (LMM with empirical logit) models to Pseudomonas syringae pv . actinidiae (Psa) incidence in a set of factorial full-sib families of Actinidia chinensis seedlings

From: Genetic analysis of resistance to Pseudomonas syringae pv. actinidiae (Psa) in a kiwifruit progeny test: an application of generalised linear mixed models (GLMMs)

Variance component Binomial GLMM - SAS Bernoulli GLMM -SAS LMM - SAS LMM - ASReml-R
Row, σ R 2 0.074 ± 0.060 0.095 ± 0.061 0.053 ± 0.045 0.056 ± 0.006
Bay, σ C 2 0.383 ± 0.169 0.375 ± 0.154 0.361 ± 0.149 0.358 ± 0.039
Family, σ F 2 0.039 ± 0.096 0.108 ± 0.081 0.069 ± 0.072 0.075 ± 0.008
Additive, σ A 2 0.687 ± 0.190 0.732 ± 0.201 1.359 ± 0.184 1.350 ± 0.147
Residual    4.5E-7 ± 3.3E-4 2.3e-4 ± 2.5e-5
Heritability, h N 2 0.57 ± 0.13 0.55 ± 0.11 0.74 ± 0.08 0.73
  1. The models were fitted using the GLIMMIX and MIXED procedures in SAS® respectively, and in ASREml-R.