Bh. Liu et al., SAMPLING DISTRIBUTIONS, BIASES, VARIANCES, AND CONFIDENCE-INTERVALS FOR GENETIC CORRELATIONS, Theoretical and Applied Genetics, 94(1), 1997, pp. 8-19
Genetic correlations (rho(g)) are frequently estimated from natural an
d experimental populations, yet many of the statistical properties of
estimators of rho(g) are not known, and accurate methods have not been
described for estimating the precision of estimates of rho(g). Our ob
jective was to assess the statistical properties of multivariate analy
sis of variance (MANOVA), restricted maximum likelihood (REML), and ma
ximum likelihood (ML) estimators of rho(g) by simulating bivariate nor
mal samples for the one-way balanced linear model. We estimated probab
ilities of non-positive definite MANOVA estimates of genetic variance-
covariance matrices and biases and variances of MANOVA, REML, and ML e
stimators of rho(g), and assessed the accuracy of parametric, jackknif
e, and bootstrap variance and confidence interval estimators for rho(g
). MANOVA estimates of rho(g) were normally distributed. REML and ML e
stimates were normally distributed for rho(g) = 0.1, but skewed for rh
o(g) = 0.5 and 0.9. All of the estimators were biased. The MANOVA esti
mator was less biased than REML and ML estimators when heritability (H
), the number of genotypes (n), and the number of replications (r) wer
e low. The biases were otherwise nearly equal for different estimators
and could not be reduced by jackknifing or bootstrapping. The varianc
e of the MANOVA estimator was greater than the variance of the REML or
ML estimator for most H, n, and r. Bootstrapping produced estimates o
f the variance of rho(g) close to the known variance, especially for R
EML and ML. The observed coverages of the REML and ML bootstrap interv
al estimators were consistently close to stated coverages, whereas the
observed coverage of the MANOVA bootstrap interval estimator was unsa
tisfactory for some H, rho(g), n, and r. The other interval estimators
produced unsatisfactory coverages. REML and ML bootstrap interval est
imates were narrower than MANOVA bootstrap interval estimates for most
H, rho(g), n, and r.