title: The distribution of genetic parameter estimates and confidence intervals from small disconnected diallels.
abstract: The distributions of genetic variance components and their ratios (heritability and type-B genetic correlation) from 105 pairs of six-parent disconnected half-diallels of a breeding population of loblolly pine (Pinus taeda L.) were examined. A series of simulations based on these estimates were carried out to study the coverage accuracy of confidence intervals based on the usual t-method and several other alternative methods. Genetic variance estimates fluctuated greatly from one experiment to another. Both general combining ability variance (sigma(2) (g)) and specific combining ability variance (sigma(2) (s)) had a large positive skewness. For sigma(2) (g) and sigma(2) (s), a skewness-adjusted t-method proposed by Boos and Hughes-Oliver (Am Stat 54:121-128, 2000) provided better upper endpoint confidence intervals than t-intervals, whereas they were similar for the lower endpoint. Bootstrap BCa-intervals (Efron and Tibshirani, An introduction to the bootstrap. Chapman & Hall, London 436 p, 1993) and Hall's transformation methods (Zhou and Gao, Am Stat 54:100-104, 2000) had poor coverages. Coverage accuracy of Fieller's interval endpoint(J R Stat Soc Ser B 16:175-185, 1954) and t-interval endpoint were similar for both h(2) and r(B) for sample sizes n</=10, but for n=30 the Fieller's method is much better.
authors.affiliation: Department of Forestry and Environmental Resources, North Carolina State University, Campus Box 8002, Raleigh, NC 27695, USA. fisik@ncsu.edu
authors.forename: Fikret
authors.initials: F
authors.lastname: Isik
authors.forename: Dennis D
authors.initials: DD
authors.lastname: Boos
authors.forename: Bailian
authors.initials: B
authors.lastname: Li
mesh_terms: D000704:Analysis of Variance; D001947:Breeding / Q000379:methods*; D003198:Computer Simulation; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D041603:Pinus taeda / Q000235:genetics*