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

Optimizing Genomic Parental Selection for Categorical and Continuous-Categorical Multi-Trait Mixtures.

Genes - 29 Jul 2024

Villar-Hernández Bartolo de Jesús, Pérez-Rodríguez Paulino, Vitale Paolo, Gerard Guillermo, Montesinos-Lopez Osval A, Saint Pierre Carolina, Crossa José, Dreisigacker Susanne

Abstract excerpt

This study presents a novel approach for the optimization of genomic parental selection in breeding programs involving categorical and continuous-categorical multi-trait mixtures (CMs and CCMMs). Utilizing the Bayesian decision theory (BDT) and latent trait models within a multivariate normal distribution framework, we address the complexities of selecting new parental lines across ordinal and continuous traits...

Read the complete abstract on PubMed

Topics

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

Share to Bayes Theorem
Share to Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Models, Genetic

Share to Phenotype

Share to Plant Breeding

Share to Quantitative Trait Loci

Share to Selection, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 39202356
DOI: 10.3390/genes15080995
PMCID: PMC11353433

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Optimizing Genomic Parental Selection for Categorical and Continuous-Categorical Multi-Trait Mixtures.PMID 39202356Read ↗

Methods for joint genetic prediction of multiple ordinal categorical and continuous traits.Semantic proximity Read ↗

Strategies for genetic mapping of categorical traits.Semantic proximity Read ↗

Application of multi-trait Bayesian decision theory for parental genomic selection.Semantic proximity Read ↗

Multivariate Genomic Hybrid Prediction with Kernels and Parental Information.Semantic proximity Read ↗

A new approach fits multivariate genomic prediction models efficiently.Semantic proximity Read ↗

Bayesian divergence-based approach for genomic multitrait ordinal selection.Semantic proximity Read ↗

A review of deep learning applications for genomic selection.Semantic proximity Read ↗

Genomic prediction in multi-environment trials in maize using statistical and machine learning methods.Semantic proximity Read ↗

A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits.Semantic proximity Read ↗

MGIDI: toward an effective multivariate selection in biological experiments.Semantic proximity Read ↗

MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traitsSemantic proximity Read ↗

Bayesian methods for jointly estimating genomic breeding values of one continuous and one threshold trait.Semantic proximity Read ↗

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