Precision of genetic parameters and breeding values estimated in marker assisted BLUP genetic evaluation

Table 4 Simulated and estimated parameters for the estimation of variance components when evaluation models were only based on daughter yield deviations (DYD) for bulls or DYD for bulls in combination with yield deviations (YD) for cows

Phenotypic information	Pedigree depth	Missing genotypes	${\hat{σ}}_{a}^{2}$	${\hat{σ}}_{e}^{2}$	${\hat{σ}}_{q t l}^{2}$	log LR	$\frac{{\hat{σ}}_{q t l}^{2}}{{\hat{σ}}_{a}^{2}}$	s.e.( ${\hat{σ}}_{a}^{2}$ )	s.e.( ${\hat{σ}}_{e}^{2}$ )	s.e.( ${\hat{σ}}_{q t l}^{2}$ )
DYD	short	none	244,267	664,150	55,460	1.855	0.227	39,033	478,491	38,232
DYD-YD	short	none	259,493	459,265	52,924	2.539	0.204	20,033	31,899	31,892
DYD-YD	deep	none	260,677	458,426	50,293	7.284	0.193	16,100	25,221	19,392
DYD-YD	deep	moderate	260,738	458,418	50,462	6.400	0.194	16,109	25,246	20,996
DYD-YD	deep	extensive	260,899	458,271	51,020	5.373	0.196	16,133	25,284	23,333
Simulated parameters			260,100	462,400	52,020		0.200

Different pedigree structures (short and deep) and levels of missing genotypes (none, moderate and extensive) were applied; parameters shown are the additive genetic variance ( ${\hat{σ}}_{a}^{2}$ ), the residual variance ( ${\hat{σ}}_{e}^{2}$ ), the genetic variance explained by one QTL ( ${\hat{σ}}_{q t l}^{2}$ ), the log likelihood ratio (log LR), the ratio of ${\hat{σ}}_{a}^{2}$ and ${\hat{σ}}_{q t l}^{2}$ , and the estimated standard errors for the estimated variance components (s.e.); the values are averages over 100 replicates

ISSN: 1297-9686