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

Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects.

Genetics, selection, evolution : GSE - 1 Jan 2000

Meyer K

Abstract excerpt

A random regression model for the analysis of "repeated" records in animal breeding is described which combines a random regression approach for additive genetic and other random effects with the assumption of a parametric correlation structure for within animal covariances. Both stationary and non-stationary correlation models involving a small number of parameters are considered. Heterogeneity in within animal...

Read the complete abstract on PubMed

Topics

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

Share to Age Distribution
Share to Analysis of Variance
Share to Bayes Theorem

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Body Weight

Share to Likelihood Functions

Share to Linear Models

Share to Random Allocation

Share to Statistics as Topic

Source

Open in PubMed Open full text

Identifiers

PMID: 11742630
DOI: 10.1186/1297-9686-33-6-557
PMCID: PMC2705392

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects.PMID 11742630Read ↗

Covariance functions and random regression models for cow weight in beef cattle.Semantic proximity Read ↗

Statistical models for estimating the genetic basis of repeated measures and other function-valued traits.Semantic proximity Read ↗

Repeated-measure animal models to estimate genetic components of mature weight, hip height, and body condition score.Semantic proximity Read ↗

An animal breeding approach to the estimation of genetic and environmental trends from field populations.Semantic proximity Read ↗

Constructing covariance functions for random regression models for growth in Gelbvieh beef cattle.Semantic proximity Read ↗

Estimates of genetic covariance functions for growth of Angus cattle.Semantic proximity Read ↗

Multiple-breed genetic inference using heavy-tailed structural models for heterogeneous residual variances.Semantic proximity Read ↗

Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models.Semantic proximity Read ↗

Genetic heterogeneity of residual variance for growth traits in American angus Cattle.Semantic proximity Read ↗

Genetic and environmental heterogeneity of residual variance of weight traits in Nellore beef cattle.Semantic proximity Read ↗

Longitudinal analysis of residual feed intake and BW in mink using random regression with heterogeneous residual variance.Semantic proximity Read ↗

Modelling growth in Suffolk and Charollais sheep populations using random regression models and validation of constrained polynomial correlation values.Semantic proximity Read ↗

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