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Confidence interval estimators for heritability for several mating and experiment designs
Authors:S J Knapp  W C Bridges Jr
Institution:(1) Department of Crop Science, Oregon State University, 97331 Corvallis, OR, USA;(2) Experimental Statistics Unit, Clemson University, 29634 Clemson, SC, USA
Abstract:Summary Confidence interval estimators have not been described for several heritability (H) estimators relevant to recurrent family selection. Previously described H interval estimators do not apply to onefactor mating designs in split-plot in time experiment designs in one or more locations, one-factor mating designs for several experiment designs in two or more locations and years, and two-factor mating designs for several experiment designs in two or more locations or years. Our objective was to derive H interval estimators for these cases. H reduced to a function of constants and a single expected mean square ratio in every case; H=1–E(Mprime)/E(MPrime) where E(Mprime) is a linear function of expected mean squares and E(MPrime) is a single expected mean square. It was shown that Fprime=MPrime/E(MPrime)]/Mprime/E(Mprime)] has an approximate F-distribution with dfPrime and dfprime degrees of freedom, respectively, where Mprime and MPrime are mean squares corresponding to E(Mprime) and E(MPrime), respectively. H is a function of Fprime, therefore, we used Fprime to define an approximate (1–agr) interval estimator for H.Oregon Agricultural Experiment Station Technical Paper No. 7923
Keywords:Random linear models  Recurrent selection  Forages  Maize
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