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

Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances.

G3 (Bethesda, Md.) - 6 Nov 2024

Niehoff Tobias A M, Ten Napel Jan, Calus Mario P L

Abstract excerpt

The ability to predict the outcome of selection and mating decisions enables breeders to make strategically better selection decisions. To improve genetic progress, those individuals need to be selected whose offspring can be expected to show high genetic variance next to high breeding values. Previously published approaches enable to predict the variance of descendants of 2 future generations for up to 4...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Gene Frequency
Share to Genetic Variation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Haploidy

Share to Haplotypes

Share to Models, Genetic

Share to Selection, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 39197015
DOI: 10.1093/g3journal/jkae205
PMCID: PMC11540313

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

Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances.PMID 39197015Read ↗

Mendelian sampling covariability of marker effects and genetic values.Semantic proximity Read ↗

Genomic Prediction of Complex Traits, Principles, Overview of Factors Affecting the Reliability of Genomic Prediction, and Algebra of the Reliability.Semantic proximity Read ↗

Selection on Expected Maximum Haploid Breeding Values Can Increase Genetic Gain in Recurrent Genomic Selection.Semantic proximity Read ↗

Parent-offspring inference in inbred populationsSemantic proximity Read ↗

Efficient genome ancestry inference in complex pedigrees with inbreeding.Semantic proximity Read ↗

Estimation of heritability from limited family data using genome-wide identity-by-descent sharing.Semantic proximity Read ↗

Contributions of linkage disequilibrium and co-segregation information to the accuracy of genomic prediction.Semantic proximity Read ↗

Modeling of identity-by-descent processes along a chromosome between haplotypes and their genotyped ancestors.Semantic proximity Read ↗

Strategies to improve on selection based on estimated breeding values.Semantic proximity Read ↗

Accurate prediction of genetic values for complex traits by whole-genome resequencing.Semantic proximity Read ↗

The importance of identity-by-state information for the accuracy of genomic selection.Semantic proximity Read ↗

Two variance component model improves genetic prediction in family data setsSemantic proximity Read ↗

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