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 prediction of trait segregation in a progeny population: a case study of Japanese pear (Pyrus pyrifolia).

BMC genetics - 12 Sept 2013

Iwata Hiroyoshi, Hayashi Takeshi, Terakami Shingo, Takada Norio, Saito Toshihiro, Yamamoto Toshiya

Abstract excerpt

BACKGROUND: In cross breeding, it is important to choose a good parental combination that has high probability of generating offspring with desired characteristics. This study examines a method for predicting the segregation of target traits in a progeny population based on genome-wide markers and phenotype data of parental cultivars. RESULTS: The proposed method combines segregation simulation and Bayesian...

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
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Markov Chains

Share to Monte Carlo Method

Share to Quantitative Trait, Heritable

Source

Open in PubMed Open full text

Identifiers

PMID: 24028660
DOI: 10.1186/1471-2156-14-81
PMCID: PMC3847345

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

Genomic prediction of trait segregation in a progeny population: a case study of Japanese pear (Pyrus pyrifolia).PMID 24028660Read ↗

Genome-wide association study and genomic prediction using parental and breeding populations of Japanese pear (Pyrus pyrifolia Nakai).Semantic proximity Read ↗

Predicting segregation of multiple fruit-quality traits by using accumulated phenotypic records in citrus breeding.Semantic proximity Read ↗

Validation of cross-progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat.Semantic proximity Read ↗

Bayesian models with dominance effects for genomic evaluation of quantitative traits.Semantic proximity Read ↗

Assessment of segregation variance estimates from derivation, simulations, and empirical data in autotetraploid species exemplified in potato.Semantic proximity Read ↗

Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses.Semantic proximity Read ↗

Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers.Semantic proximity Read ↗

Strategies for Selecting Crosses Using Genomic Prediction in Two Wheat Breeding Programs.Semantic proximity Read ↗

Low density marker-based effectiveness and efficiency of early-generation genomic selection relative to phenotype-based selection in dolichos bean (Lablab purpureus L. Sweet).Semantic proximity Read ↗

A two-stage approximation for analysis of mixture genetic models in large pedigrees.Semantic proximity Read ↗

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

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

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