ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019
Accelerating crop genetic gains with genomic selection.
Review 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 178 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
178 citing papers in PubMed.
- Understanding environmental adaptation in intermediate wheatgrass.The plant genome · 2026Article
- Scalable medium-density genotyping platforms for cultivar identification, pedigree authentication, marker-assisted and genomic selection, and other applications in strawberry.G3 (Bethesda, Md.) · 2026Article
- Research progress on genomic selection breeding technology for crops.Protoplasma · 2026Review
- Genomic prediction of agronomic traits in a switchgrass (Panicum virgatum L.) half-sib progeny panel evaluated across multiple environments.The plant genome · 2026Article
- Haplotype-based nested association mapping for net form net blotch response in Australian barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Phenomics-assisted sparse testing for potato breeding.Scientific reports · 2026Article
- Genome-wide association mapping and haplotype analysis reveal the genetic architecture of sodicity tolerance in bread wheat (Triticum aestivum L.).Scientific reports · 2026Article
- Ensemble-based genomic prediction for maize flowering time improves prediction accuracy and reveals novel insights into trait genetic variation.G3 (Bethesda, Md.) · 2026Article
- Leveraging AI and integrated genomic-enviromic prediction for intelligent sugarcane breeding.Plant communications · 2026Review
- KineticGP: A computational framework for genomic prediction of leaf photosynthetic traits.Plant communications · 2026Article
- Article
- Modern elite winter wheat cultivars use two physiological pathways to achieve yield stability.Journal of experimental botany · 2026Article
- Development of a Medium-Density Genotyping Platform to Accelerate Genetic Gain in Fresh Edible Maize.Plants (Basel, Switzerland) · 2026Article
- Multimodal deep learning improves cross-environment prediction of durum wheat yield components.BMC plant biology · 2026Article
- Genomic Selection for Lodging-Related Traits in Double-Cropping Rice.Plants (Basel, Switzerland) · 2026Article
- Skim-sequencing for genomic selection in wheat: a comparison of marker platforms.The plant genome · 2026Article
- Identification of Iranian bread wheat with superior performance under well-watered and rain-fed conditions using linear selection indices.BMC plant biology · 2026Article
- Haplotype applications in genomic selection.Genome biology · 2026Review
- Heritability of theFrontiers in plant science · 2026Article
- Speed breeding in upland cotton (Frontiers in plant science · 2026Review
118 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
key messageGenomic prediction based on additive genetic effects can accelerate genetic gain. There are opportunities for further improvement by including non-additive effects that access untapped sources of genetic diversity. Several studies have reported a worrying gap between the projected global future demand for plant-based products and the current annual rates of production increase, indicating that enhancing the rate of genetic gain might be critical for future food security. Therefore, new breeding technologies and strategies are required to significantly boost genetic improvement of future crop cultivars. Genomic selection (GS) has delivered considerable genetic gain in animal breeding and is becoming an essential component of many modern plant breeding programmes as well. In this paper, we review the lessons learned from implementing GS in livestock and the impact of GS on crop breeding, and discuss important features for the success of GS under different breeding scenarios. We highlight major challenges associated with GS including rapid genotyping, phenotyping, genotype-by-environment interaction and non-additivity and give examples for opportunities to overcome these issues. Finally, the potential of combining GS with other modern technologies in order to maximise the rate of crop genetic improvement is discussed, including the potential of increasing prediction accuracy by integration of crop growth models in GS frameworks.
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Registered trials
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.