Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping

BMC Genomics

Table 2 The genetic architecture of milk production traits and Fertility estimated by ASReml

	Additive genetic variance (\( {\sigma}_g^2 \))	Additive polygenic variance (\( {\sigma}_a^2 \))	Error variance (\( {\upsigma}_e^2 \))	Heritability (h ²)
FatY	118.594	48.689	234.326	0.421
MilkY	114.827e + 03	38.532e + 03	135.598e + 03	0.528
ProtY	72.488	36.072	140.417	0.443
Fat%	0.056	0.008	0.018	0.781
Protein%	0.012	0.003	0.003	0.818
Fertility	42.990	0.003e-01	340.287e-01	0.013
FatY_HT^a	0.041	0.581e-07	0.571	0.072
MilkY_HT^a	0.004	0.353e-06	0.035	0.091
ProtY_HT^a	0.035	0.564e-07	0.561	0.059

^aLabels the traits of Fat yield, milk yield, and protein yield under heat stress

ISSN: 1471-2164