ArticleBMC genetics2013
Genomic prediction of trait segregation in a progeny population: a case study of Japanese pear (Pyrus pyrifolia).
Article in BMC genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Progeny-based genomic selection reveals untapped genetic potential in an underutilized medicinal plant,Molecular breeding : new strategies in plant improvement · 2026Article
- Current status and future perspective of genomics-assisted breeding in wheat (Breeding science · 2026Article
- Optimization of crossing strategy based on the usefulness criterion in interpopulation crosses considering different marker effects among populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Phenotypic simulation for fruit-related traits in FMolecular genetics and genomics : MGG · 2025Article
- Chromosome-scale genome assembly of acerola (Malpighia emarginata DC.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2024Article
- Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024Article
- Influence of the mating design on the additive genetic variance in plant breeding populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple.Journal of advanced research · 2022Article
- Improving Quantitative Traits in Self-Pollinated Crops Using Simulation-Based Selection With Minimal Crossing.Frontiers in plant science · 2021Article
- Genomic Selection for FFrontiers in plant science · 2021Article
- Genomic Prediction and Selection for Fruit Traits in Winter Squash.G3 (Bethesda, Md.) · 2020Article
- Predicting Rice Heading Date Using an Integrated Approach Combining a Machine Learning Method and a Crop Growth Model.Frontiers in genetics · 2020Article
- Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression.G3 (Bethesda, Md.) · 2019Article
- Genome-wide association study and genomic prediction using parental and breeding populations of Japanese pear (Pyrus pyrifolia Nakai).Scientific reports · 2018Article
- Predicting segregation of multiple fruit-quality traits by using accumulated phenotypic records in citrus breeding.PloS one · 2018Article
- The genome sequence of sweet cherry (Prunus avium) for use in genomics-assisted breeding.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017Article
- Efficiency of genomic selection for breeding population design and phenotype prediction in tomato.Heredity · 2017Article
- De-novo transcriptome assembly for gene identification, analysis, annotation, and molecular marker discovery in Onobrychis viciifolia.BMC genomics · 2016Article
- A simulation-based breeding design that uses whole-genome prediction in tomato.Scientific reports · 2016Article
- Genomics of pear and other Rosaceae fruit trees.Breeding science · 2016Review
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Authors and funding
6 authors.
Funding
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Abstract
backgroundIn 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.
resultsThe proposed method combines segregation simulation and Bayesian modeling for genomic selection. Marker segregation in a progeny population was simulated based on parental genotypes. Posterior marker effects sampled via Markov Chain Monte Carlo were used to predict the segregation pattern of target traits. The posterior distribution of the proportion of progenies that fulfill selection criteria was calculated and used for determining a promising cross and the necessary size of the progeny population. We applied the proposed method to Japanese pear (Pyrus pyrifolia Nakai) data to demonstrate the method and to show how it works in the selection of a promising cross. Verification using an actual breeding population suggests that the segregation of target traits can be predicted with reasonable accuracy, especially in a highly heritable trait. The uncertainty in predictions was reflected on the posterior distribution of the proportion of progenies that fulfill selection criteria. A simulation study based on the real marker data of Japanese pear cultivars also suggests the potential of the method.
conclusionsThe proposed method is useful to provide objective and quantitative criteria for choosing a parental combination and the breeding population size.
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