ABSTRACT This study aimed to evaluate the eggplant genotype x environment ineraction, using REML/BLUP procedure, in order identify genotypes with high productivity, adaptability and phenotypic stability. The experiments were carried out agricultural greenhouses, two seasons, three types of shading: uncovered (UC); covered plastic diffuser film (PD), 130 microns thick, (130 micron) + 50% shading...

A restricted maximum likelihood procedure is described to estimate variance and covariance components in a multivariate mixed model when records are missing for some traits. The algorithm combines features of an expectat ionmaximization algorithm to estimate the within random effects components with the method of scoring to estimate the between random effects components. The procedure is comput...

The heritability of diet selection for mountain big sagebrush (Artemisia tridentata Nutt. ssp. vaseyana [Rydb] Beetle) by grazing sheep was estimated from fecal samples collected from 549 Rambouillet ewes. Fecal samples were collected in September and October during 1996 and 1997 from free-grazing ewes on intermountain sagebrush-bunchgrass rangelands at the U.S. Sheep Experiment Station in Idah...

The point estimation of the ratio of variance components and the intraclass correlation coefficient for the unbalanced one way random effects model are considered. ANOVA, REML, ML, MIVQUE, MINQE type, and MU (median unbiased) estimators are compared with respect to their absolute biases and mean squared errors through a simulation study. Explicit, computable expressions with no matrix inversion...

This review covers the design and analysis of essentially two types of reliability study: method comparison studies and generalizability (including inter-rater reliability) experiments. Likelihood-based methods of inference (confirmatory factor analysis and REML estimation of variance components, for example) are advocated, partly because of their ease of use but, primarily as a stimulus to the...

Penalized REML estimation can substantially reduce sampling variation in estimates of covariance matrices, and yield estimates of genetic parameters closer to population values than standard analyses. A number of suitable penalties based on prior distributions of correlation matrices from the Bayesian literature are described, and a simulation study is presented demonstrating their efficacy. Re...