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

A statistical package for evaluation of hybrid performance in plant breeding via genomic selection.

Scientific reports - 27 Jul 2023

Chen Szu-Ping, Tung Chih-Wei, Wang Pei-Hsien, Liao Chen-Tuo

Abstract excerpt

Hybrid breeding employs heterosis, which could potentially improve the yield and quality of a crop. Genomic selection (GS) is a promising approach for the selection of quantitative traits in plant breeding. The main objectives of this study are to (i) propose a GS-based approach to identify potential parental lines and superior hybrid combinations from a breeding population, which is composed of hybrids produced...

Topics

Join the communities discussing this publication.

Bayes Theorem
Genomics
Hybrid Vigor
Hybridization, Genetic
Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 37500737
DOI: 10.1038/s41598-023-39434-6
PMCID: PMC10374541

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

A statistical package for evaluation of hybrid performance in plant breeding via genomic selection.PMID 37500737Read ↗

Genomic Prediction of Pumpkin Hybrid Performance.Semantic proximity Read ↗

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

Genomic prediction in hybrid breeding: I. Optimizing the training set design.Semantic proximity Read ↗

Genome-wide regression models considering general and specific combining ability predict hybrid performance in oilseed rape with similar accuracy regardless of trait architecture.Semantic proximity Read ↗

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

Assessing combining abilities, genomic data, and genotype × environment interactions to predict hybrid grain sorghum performance.Semantic proximity Read ↗

Genomic selection of parents and crosses beyond the native gene pool of a breeding program.Semantic proximity Read ↗

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.Semantic proximity Read ↗

Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials.Semantic proximity Read ↗

Comparison of genomic-enabled cross selection criteria for the improvement of inbred line breeding populations.Semantic proximity Read ↗

Genome-wide prediction of maize single-cross performance, considering non-additive genetic effects.Semantic proximity Read ↗

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

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