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

Genomic selection optimization in blueberry: Data-driven methods for marker and training population design.

The plant genome - 1 Sept 2024

Adunola Paul, Ferrão Luis Felipe V, Benevenuto Juliana, Azevedo Camila F, Munoz Patricio R

Abstract excerpt

Genomic prediction is a modern approach that uses genome-wide markers to predict the genetic merit of unphenotyped individuals. With the potential to reduce the breeding cycles and increase the selection accuracy, this tool has been designed to rank genotypes and maximize genetic gains. Despite this importance, its practical implementation in breeding programs requires critical allocation of resources for its...

Topics

Join the communities discussing this publication.

Genetic Markers
Genome, Plant
Genomics
Genotype
Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Selection, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 39087863
DOI: 10.1002/tpg2.20488
PMCID: PMC12807329

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic selection optimization in blueberry: Data-driven methods for marker and training population design.PMID 39087863Read ↗

Optimizing whole-genomic prediction for autotetraploid blueberry breeding.Semantic proximity Read ↗

Genomic selection in plant breeding: Key factors shaping two decades of progress.Semantic proximity Read ↗

Genomic selection: Essence, applications, and prospects.Semantic proximity Read ↗

Sample size determination for training set optimization in genomic prediction.Semantic proximity Read ↗

GS4PB: An R Shiny application to facilitate a genomic selection pipeline for plant breeding.Semantic proximity Read ↗

Optimizing Training Population Size and Genotyping Strategy for Genomic Prediction Using Association Study Results and Pedigree Information. A Case of Study in Advanced Wheat Breeding Lines.Semantic proximity Read ↗

Overview of Genomic Prediction Methods and the Associated Assumptions on the Variance of Marker Effect, and on the Architecture of the Target Trait.Semantic proximity Read ↗

Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review.Semantic proximity Read ↗

Practical Workflow from High-Throughput Genotyping to Genomic Estimated Breeding Values (GEBVs).Semantic proximity Read ↗

Within-family genomic selection in strawberry: Optimization of marker density, trial design, and training set composition.Semantic proximity Read ↗

Integrating genomic predictions into an applied Central European wheat breeding program.Semantic proximity Read ↗

Genome-wide prediction methods in highly diverse and heterozygous species: proof-of-concept through simulation in grapevine.Semantic proximity Read ↗

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