ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019
Across-years prediction of hybrid performance in maize using genomics.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Integrating Genetic Diversity and Agronomic Innovations for Climate-Resilient Maize Systems.Plants (Basel, Switzerland) · 2025Review
- Identification of gray leaf spot-resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation.Frontiers in plant science · 2025Article
- Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid technology.G3 (Bethesda, Md.) · 2024Article
- Molecular mechanisms controlling grain size and weight and their biotechnological breeding applications in maize and other cereal crops.Journal of advanced research · 2024Review
- Maximizing efficiency in sunflower breeding through historical data optimization.Plant methods · 2024Article
- Utilizing genomic prediction to boost hybrid performance in a sweet corn breeding program.Frontiers in plant science · 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
- Training set designs for prediction of yield and moisture of maize test cross hybrids with unreplicated trials.Frontiers in plant science · 2023Article
- Genomic prediction using information across years with epistatic models and dimension reduction via haplotype blocks.PloS one · 2023Article
- Genetic insights in pearl millet breeding in the genomic era: challenges and prospects.Plant biotechnology reports · 2023Review
- Development of the maize 5.5K loci panel for genomic prediction through genotyping by target sequencing.Frontiers in plant science · 2022Article
- Sorghum breeding in the genomic era: opportunities and challenges.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat.Science advances · 2021Article
- Multi-omics-based prediction of hybrid performance in canola.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Genetic Dissection of Grain Yield of Maize and Yield-Related Traits Through Association Mapping and Genomic Prediction.Frontiers in plant science · 2021Article
- Heterosis and Hybrid Crop Breeding: A Multidisciplinary Review.Frontiers in genetics · 2021Review
- Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testing.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.Frontiers in plant science · 2020Review
- Improving and Maintaining Winter Hardiness and Frost Tolerance in Bread Wheat by Genomic Selection.Frontiers in plant science · 2019Article
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Authors and funding
3 authors.
Funding
Abstract
key messageInclusion of historical training data improved the genomics-based prediction of performance of maize hybrids, the extent depending on the phenotypic trait and genotype-by-year interaction. Prediction of hybrid performance using existing phenotypic data on previous hybrids combined with molecular data collected on the parent lines allows to identify the most promising candidates from a huge number of possible hybrids at an early stage. Phenotypic data on yield and dry matter of 1970 grain maize hybrids from 19 years of a public breeding program were aggregated considering the underlying structure of factorial sets of hybrids. Pedigree records and 50 K SNP data were collected on their 170 Dent and 127 Flint parent lines. The performance of untested hybrids was predicted by best linear unbiased predictors (BLUP) on basis of pedigree or genomic data. For composition of training sets (TRN) and test sets (TST), three schemes for collecting factorials from specific years were employed which resulted in 490 scenarios. For each scenario, the predictive ability and genomic relationship between TRN and TST hybrids were determined. For extended TRNs, where earlier years were successively added to the TRN, the maximum relationship increased and the predictive ability improved, with the extent of the latter depending on the phenotypic trait and its genotype-by-year interaction. Genomic BLUP outperformed pedigree BLUP and better utilized the early years' data, especially for prediction of hybrids from factorials in a more distant future. This study on hybrid prediction in grain maize illustrated that including historical phenotypic data for training, although consisting of less related genotypes, can improve genomic prediction and enables optimization of hybrid variety development.
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