ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018
Rice diversity panel provides accurate genomic predictions for complex traits in the progenies of biparental crosses involving members of the panel.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Genomic predictions for growth and feed efficiency traits in a duck breeding population.BMC genomics · 2025Article
- Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits.The plant genome · 2025Article
- Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan.Rice (New York, N.Y.) · 2025Article
- Big data and artificial intelligence-aided crop breeding: Progress and prospects.Journal of integrative plant biology · 2025Review
- Genomic prediction of seed nutritional traits in biparental families of oat (Avena sativa).The plant genome · 2023Article
- Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Molecular breeding : new strategies in plant improvement · 2023Article
- Optimization of Multi-Generation Multi-location Genomic Prediction Models for Recurrent Genomic Selection in an Upland Rice Population.Rice (New York, N.Y.) · 2023Article
- Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals.Genes · 2023Review
- Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Identification of Newer Stable Genetic Sources for High Grain Number per Panicle and Understanding the Gene Action for Important Panicle Traits in Rice.Plants (Basel, Switzerland) · 2023Article
- Genomic selection for salinity tolerance in japonica rice.PloS one · 2023Article
- Genome-wide association study and genomic prediction for yield and grain quality traits of hybrid rice.Molecular breeding : new strategies in plant improvement · 2022Article
- Genomic Prediction: Progress and Perspectives for Rice Improvement.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Impact of early genomic prediction for recurrent selection in an upland rice synthetic population.G3 (Bethesda, Md.) · 2021Article
- Genomic Prediction of Grain Yield in a Barley MAGIC Population Modeling Genotype per Environment Interaction.Frontiers in plant science · 2021Article
- Improving Prediction Accuracy Using Multi-allelic Haplotype Prediction and Training Population Optimization in Wheat.G3 (Bethesda, Md.) · 2020Article
- Accuracy of genomic selection for grain yield and agronomic traits in soft red winter wheat.BMC genetics · 2019Article
- Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Selection of trait-specific markers and multi-environment models improve genomic predictive ability in rice.PloS one · 2019Article
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14 authors.
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Abstract
key messageRice breeding programs based on pedigree schemes can use a genomic model trained with data from their working collection to predict performances of progenies produced through rapid generation advancement. So far, most potential applications of genomic prediction in plant improvement have been explored using cross validation approaches. This is the first empirical study to evaluate the accuracy of genomic prediction of the performances of progenies in a typical rice breeding program. Using a cross validation approach, we first analyzed the effects of marker selection and statistical methods on the accuracy of prediction of three different heritability traits in a reference population (RP) of 284 inbred accessions. Next, we investigated the size and the degree of relatedness with the progeny population (PP) of sub-sets of the RP that maximize the accuracy of prediction of phenotype across generations, i.e., for 97 F
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.