ArticleThe plant genome2018
Prospects and Challenges of Applied Genomic Selection-A New Paradigm in Breeding for Grain Yield in Bread Wheat.
Article in The plant genome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
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Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it.
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates.The plant genome · 2026Article
- Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genomic forecasting for climate-resilient fruit trees.The New phytologist · 2026Review
- Genomic selection for seed yield enhances flax breeding efficiency.Molecular breeding : new strategies in plant improvement · 2026Article
- A novel matrix multiplication framework for modeling genotype-by-environment interaction in genomic prediction.Frontiers in genetics · 2026Article
- Uncover the genetic basis of processing quality related traits in common wheat (Frontiers in plant science · 2026Article
- Genotyping analysis of over 130,000 CIMMYT bread wheat breeding lines: A decade-long effort in optimizing wheat genotyping.The plant genome · 2025Article
- Optimizing genomic prediction with transfer learning under a ridge regression framework.The plant genome · 2025Article
- Feature engineering of environmental covariates improves plant genomic-enabled prediction.Frontiers in plant science · 2024Article
- Genome-Wide Association Study Reveals Novel Powdery Mildew Resistance Loci in Bread Wheat.Plants (Basel, Switzerland) · 2023Article
- Sparse multi-trait genomic prediction under balanced incomplete block design.The plant genome · 2023Article
- Efficacy of plant breeding using genomic information.The plant genome · 2023Article
- Article
- A novel method for genomic-enabled prediction of cultivars in new environments.Frontiers in plant science · 2023Article
- Improved multi-trait prediction of wheat end-product quality traits by integrating NIR-predicted phenotypes.Frontiers in plant science · 2023Article
- Validation of Novel spot blotch disease resistance alleles identified in unexplored wheat (Triticum aestivum L.) germplasm lines through KASP markers.BMC plant biology · 2022Article
- Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding.The plant genome · 2022Article
- Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize.Genome biology · 2022Article
- Article
Corrections and comments
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Genomic selection (GS) has been promising for increasing genetic gains in several species. Therefore, we evaluated the potential integration of GS for grain yield (GY) in bread wheat ( L.) in CIMMYT's elite yield trial nurseries. We observed that the genomic prediction accuracies within nurseries (0.44 and 0.35) were substantially higher than across-nursery accuracies (0.15 and 0.05) for GY evaluated in the bed and flat planting systems, respectively. The accuracies from using only a subset of 251 genotyping-by-sequencing markers were comparable to the accuracies using all 2038 markers. We also used the item-based collaborative filtering approach for incorporating other related traits in predicting GY and observed that it outperformed genomic predictions across nurseries, but was less predictive when trait correlations with GY were low. Furthermore, we compared GS and phenotypic selections (PS) and observed that at a selection intensity of 0.5, GS could select a maximum of 70.9 and 61.5% of the top lines and discard 71.5 and 60.5% of the poor lines selected or discarded by PS within and across nurseries, respectively. Comparisons of GS and pedigree-based predictions revealed that the advantage of GS over the pedigree was moderate in populations without full-sibs. However, GS was less advantageous for within-family selections in elite families with few full-sibs and minimal Mendelian sampling variance. Overall, our results demonstrate the importance of applying GS for GY at the appropriate stage of the breeding cycle, and we speculate that gains can be maximized if it is implemented in early-generation within-family selections.
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