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

Predictive assessment of single-step BLUP with linear and non-linear similarity RKHS kernels: A case study in chickens.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 May 2022

Momen Mehdi, Kranis Andreas, Rosa Guilherme J M, Muir Peter, Gianola Daniel

Abstract excerpt

Single-step GBLUP (ssGBLUP) to obtain genomic prediction was proposed in 2009. Many studies have investigated ssGBLUP in genomic selection in animals and plants using a standard linear kernel (similarity matrix) called genomic relationship matrix (G). More general kernels should allow capturing non-additive effects as well, whereas GBLUP is based on additive gene action. In this study, we generalized ssBLUP to...

Read the complete abstract on PubMed

Topics

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

Share to Chickens
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Models, Genetic

Share to Pedigree

Share to Phenotype

Source

Identifiers

PMID: 34931377
DOI: 10.1111/jbg.12665

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predictive assessment of single-step BLUP with linear and non-linear similarity RKHS kernels: A case study in chickens.PMID 34931377Read ↗

KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency.Semantic proximity Read ↗

Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90.Semantic proximity Read ↗

A predictive assessment of genetic correlations between traits in chickens using markers.Semantic proximity Read ↗

Experiences with a single-step genome evaluation.Semantic proximity Read ↗

Sparse single-step genomic BLUP in crossbreeding schemes.Semantic proximity Read ↗

Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture.Semantic proximity Read ↗

The prediction accuracies of linear-type traits in Czech Holstein cattle when using ssGBLUP or wssGBLUP.Semantic proximity Read ↗

The research progress of genomic selection in livestock.Semantic proximity Read ↗

Systematic differences in the response of genetic variation to pedigree and genome-based selection methods.Semantic proximity Read ↗

Integrating Bioinformatics and Machine Learning for Genomic Prediction in Chickens.Semantic proximity Read ↗

Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens.Semantic proximity Read ↗

GWKBR: a novel method integrating machine learning and Bayesian inference framework to improve genomic prediction accuracy.Semantic proximity Read ↗

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