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

Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality.

G3 (Bethesda, Md.) - 3 Dec 2020

Nsibi Mariem, Gouble Barbara, Bureau Sylvie, Flutre Timothée, Sauvage Christopher, Audergon Jean-Marc, Regnard Jean-Luc

Abstract excerpt

Genomic selection (GS) is a breeding approach which exploits genome-wide information and whose unprecedented success has shaped several animal and plant breeding schemes through delivering their genetic progress. This is the first study assessing the potential of GS in apricot (Prunus armeniaca) to enhance postharvest fruit quality attributes. Genomic predictions were based on a F1 pseudo-testcross population,...

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 Fruit
Share to Genome, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Models, Genetic

Share to Plant Breeding

Share to Polymorphism, Single Nucleotide

Share to Selection, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 33067307
DOI: 10.1534/g3.120.401452
PMCID: PMC7718743

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality.PMID 33067307Read ↗

Population genomics of apricots unravels domestication history and adaptive events.Semantic proximity Read ↗

Genome wide selection in Citrus breeding.Semantic proximity Read ↗

Genome-wide association study identifies key quantitative trait loci (QTL) for fruit morphometric traits in avocado (Persea spp.).Semantic proximity Read ↗

A Penalized Regression Method for Genomic Prediction Reduces Mismatch between Training and Testing Sets.Semantic proximity Read ↗

Morphometric trait analysis and machine learning-based yield modeling in wood apple (Feronia limonia L.).Semantic proximity Read ↗

Genomic selection for agronomical phenotypes using genome-wide SNPs and SVs in pearl millet.Semantic proximity Read ↗

GPS: Harnessing data fusion strategies to improve the accuracy of machine learning-based genomic and phenotypic selection.Semantic proximity Read ↗

Genomic selection for fruit quality traits in apple (Malus×domestica Borkh.).Semantic proximity Read ↗

Genomic Prediction in a Multiploid Crop: Genotype by Environment Interaction and Allele Dosage Effects on Predictive Ability in Banana.Semantic proximity Read ↗

Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits.Semantic proximity Read ↗

Harnessing genomic resources for passion fruit improvement: Progress and prospects.Semantic proximity Read ↗

Enhancing grapevine breeding efficiency through genomic prediction and selection index.Semantic proximity Read ↗

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