Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Mixed model approaches for diallel analysis based on a bio-model.

Genetical research - 1 Dec 1996

Zhu J, Weir B S

Abstract excerpt

A MINQUE(1) procedure, which is minimum norm quadratic unbiased estimation (MINQUE) method with 1 for all the prior values, is suggested for estimating variance and covariance components in a bio-model for diallel crosses. Unbiasedness and efficiency of estimation were compared for MINQUE(1), restricted maximum likelihood (REML) and MINQUE theta which has parameter values for the prior values. MINQUE(1) is almost...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alleles
Share to Analysis of Variance
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Crosses, Genetic

Share to Genetic Variation

Share to Models, Genetic

Share to Monte Carlo Method

Source

Identifiers

PMID: 9062080
DOI: 10.1017/s0016672300034200

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Mixed model approaches for diallel analysis based on a bio-model.PMID 9062080Read ↗

Estimating effects of a single gene and polygenes on quantitative traits from a diallel design.Semantic proximity Read ↗

Linear models for diallel crosses: a review with R functions.Semantic proximity Read ↗

Mixed model analysis of quantitative trait loci.Semantic proximity Read ↗

The use of a genetic relationship matrix biases the best linear unbiased prediction.Semantic proximity Read ↗

Estimation of quantitative genetic parameters.Semantic proximity Read ↗

A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating.Semantic proximity Read ↗

A maximum-likelihood model-fitting approach to conducting a Hayman analysis of diallel tables with complete or missing data.Semantic proximity Read ↗

Estimation of variance components based on diallel model.Semantic proximity Read ↗

Efficient computation of the inverse of gametic relationship matrix for a marked QTL.Semantic proximity Read ↗

More about quantitative trait locus mapping with diallel designs.Semantic proximity Read ↗

Likelihood calculations to evaluate experimental designs to estimate genetic variances.Semantic proximity Read ↗

Restricted maximum likelihood procedures for the estimation of additive and nonadditive genetic variances and covariances in multibreed populations.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.