Genetic testing has been propagated as a suitable means to specify individual risks for canine hip dysplasia (CHD). However, the current lack of validation of most genetic CHD tests has left dog owner

NIAID Data Ecosystem30

Increased phenotypic variation in MSH1 F2 lines.

作物表型变异分析

育种遗传评估

(A) Boxplots of within-row field variance for indicated traits, with values normalized as a proportion of the maximum observed row variance for that trait. Differences in variances between the F2 and

NIAID Data Ecosystem10

Holstein and Jersey average correlations between estimated genetic effects and phenotypes for milk, fat, and protein yields, productive life (PL), daughter pregnancy rate (DPR), and somatic cell score (SCS) from testing data for ten-fold cross-validation for four models as well as P -values f

数量遗传学建模

育种遗传评估

aMA = only additive effects included; MAD = additive and dominance (values) effects included; MAD2 = additive and dominance (deviations) effects included; and MAD3 = additive and dominance effects inc

NIAID Data Ecosystem30

The correlation between official and FMA (favorable minor allele) evaluation using linear and nonlinear formulas, as well as Correlation of the difference between FMA using linear weighting and official evaluation with GFI (genomic future inbreeding) and EFI (expected future inbreeding).

基因组选择

育种遗传评估

δ = 0.4 was used for FMA selection.

NIAID Data Ecosystem20