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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, Ļƒ R 2

0.074ā€‰Ā±ā€‰0.060

0.095ā€‰Ā±ā€‰0.061

0.053ā€‰Ā±ā€‰0.045

0.056ā€‰Ā±ā€‰0.006

Bay, Ļƒ C 2

0.383ā€‰Ā±ā€‰0.169

0.375ā€‰Ā±ā€‰0.154

0.361ā€‰Ā±ā€‰0.149

0.358ā€‰Ā±ā€‰0.039

Family, Ļƒ F 2

0.039ā€‰Ā±ā€‰0.096

0.108ā€‰Ā±ā€‰0.081

0.069ā€‰Ā±ā€‰0.072

0.075ā€‰Ā±ā€‰0.008

Additive, Ļƒ A 2

0.687ā€‰Ā±ā€‰0.190

0.732ā€‰Ā±ā€‰0.201

1.359ā€‰Ā±ā€‰0.184

1.350ā€‰Ā±ā€‰0.147

Residual

Ā Ā 

4.5E-7ā€‰Ā±ā€‰3.3E-4

2.3e-4ā€‰Ā±ā€‰2.5e-5

Heritability, h N 2

0.57ā€‰Ā±ā€‰0.13

0.55ā€‰Ā±ā€‰0.11

0.74ā€‰Ā±ā€‰0.08

0.73

  1. The models were fitted using the GLIMMIX and MIXED procedures in SASĀ® respectively, and in ASREml-R.