ArticleGenetics2014
Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction.
Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.
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Who cites it
79 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review.Frontiers in plant science · 2021Pooled it
- Genetic diversity and population structure of temperate maize (Zea mays L.) inbred lines from a public breeding program in Argentina.BMC plant biology · 2026Article
- Accounting for population structure in genomic prediction of strawberry sweetness at a global scale.Scientific reports · 2025Article
- Genomic prediction-aided incorporation of genetic resources into elite breeding: lessons from a collaborative multiparental design in flint maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genomic selection: Essence, applications, and prospects.The plant genome · 2025Review
- Using phenomic selection to predict hybrid values with NIR spectra measured on the parental lines: proof of concept on maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Omics-driven utilization of wild relatives for empowering pre-breeding in pearl millet.Planta · 2024Review
- Optimizing selection based on BLUPs or BLUEs in multiple sets of genotypes differing in their population parameters.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Genetic gains underpinning a little-known strawberry Green Revolution.Nature communications · 2024Article
- Assessing the potential of genetic resource introduction into elite germplasm: a collaborative multiparental population for flint maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Modeling QTL-by-environment interactions for multi-parent populations.Frontiers in plant science · 2024Article
- Phenomic Selection for Hybrid Rapeseed Breeding.Plant phenomics (Washington, D.C.) · 2024Article
- Genomic prediction in hybrid breeding: I. Optimizing the training set design.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Improving the use of plant genetic resources to sustain breeding programs' efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Accurate prediction of quantitative traits with failed SNP calls in canola and maize.Frontiers in plant science · 2023Article
- Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics.Frontiers in plant science · 2023Review
- Haplotype blocks for genomic prediction: a comparative evaluation in multiple crop datasets.Frontiers in plant science · 2023Article
- Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize.Genome biology · 2022Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The efficiency of marker-assisted prediction of phenotypes has been studied intensively for different types of plant breeding populations. However, one remaining question is how to incorporate and counterbalance information from biparental and multiparental populations into model training for genome-wide prediction. To address this question, we evaluated testcross performance of 1652 doubled-haploid maize (Zea mays L.) lines that were genotyped with 56,110 single nucleotide polymorphism markers and phenotyped for five agronomic traits in four to six European environments. The lines are arranged in two diverse half-sib panels representing two major European heterotic germplasm pools. The data set contains 10 related biparental dent families and 11 related biparental flint families generated from crosses of maize lines important for European maize breeding. With this new data set we analyzed genome-based best linear unbiased prediction in different validation schemes and compositions of estimation and test sets. Further, we theoretically and empirically investigated marker linkage phases across multiparental populations. In general, predictive abilities similar to or higher than those within biparental families could be achieved by combining several half-sib families in the estimation set. For the majority of families, 375 half-sib lines in the estimation set were sufficient to reach the same predictive performance of biomass yield as an estimation set of 50 full-sib lines. In contrast, prediction across heterotic pools was not possible for most cases. Our findings are important for experimental design in genome-based prediction as they provide guidelines for the genetic structure and required sample size of data sets used for model training.
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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.