ReviewAnnals of botany2012
Will genomic selection be a practical method for plant breeding?
Review in Annals of botany, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.
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Who cites it
93 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring and exploiting genetics and genomics for sweetpotato improvement: Status and perspectives.Plant communications · 2022Pooled it
- Enhancing alfalfa breeding through genomic prediction with exotic germplasm resources.BMC plant biology · 2026Article
- Genomic prediction of wild-derived powdery mildew resistance for strawberry (Fragaria × ananassa) pre-breeding.Heredity · 2026Article
- Harnessing genomic prediction in Brassica napus through a nested association mapping population.The plant genome · 2025Article
- Novel QTLs/genes affecting single stem elasticity, stem strength, and three lodging indices in bread wheat (Triticum aestivum L.) identified by genome-wide association analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Wheat Drought Tolerance: Unveiling a Synergistic Future with Conventional and Molecular Breeding Strategies.Plants (Basel, Switzerland) · 2025Review
- Assessment of the potential for genomic selection to improve resistance to fusarium stalk rot in maize.Frontiers in plant science · 2025Article
- Genomic selection for agronomical phenotypes using genome-wide SNPs and SVs in pearl millet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction.Scientific reports · 2024Article
- Simulations of multiple breeding strategy scenarios in common bean for assessing genomic selection accuracy and model updating.The plant genome · 2024Article
- Effects of SNP marker density and training population size on prediction accuracy in alfalfa (Medicago sativa L.) genomic selection.The plant genome · 2024Article
- The evolution of plant phenomics: global insights, trends, and collaborations (2000-2021).Frontiers in plant science · 2024Article
- A dimensionality-reduction genomic prediction method without direct inverse of the genomic relationship matrix for large genomic data.Plant cell reports · 2023Article
- A statistical package for evaluation of hybrid performance in plant breeding via genomic selection.Scientific reports · 2023Article
- Understanding the genomic selection for crop improvement: current progress and future prospects.Molecular genetics and genomics : MGG · 2023Review
- Genome-wide genotyping data renew knowledge on genetic diversity of a worldwide alfalfa collection and give insights on genetic control of phenology traits.Frontiers in plant science · 2023Article
- Review
- Genome properties of key oil palm (Elaeis guineensis Jacq.) breeding populations.Journal of applied genetics · 2022Article
- Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review.Planta · 2022Review
33 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenomic selection or genome-wide selection (GS) has been highlighted as a new approach for marker-assisted selection (MAS) in recent years. GS is a form of MAS that selects favourable individuals based on genomic estimated breeding values. Previous studies have suggested the utility of GS, especially for capturing small-effect quantitative trait loci, but GS has not become a popular methodology in the field of plant breeding, possibly because there is insufficient information available on GS for practical use. SCOPE: In this review, GS is discussed from a practical breeding viewpoint. Statistical approaches employed in GS are briefly described, before the recent progress in GS studies is surveyed. GS practices in plant breeding are then reviewed before future prospects are discussed.
conclusionsStatistical concepts used in GS are discussed with genetic models and variance decomposition, heritability, breeding value and linear model. Recent progress in GS studies is reviewed with a focus on empirical studies. For the practice of GS in plant breeding, several specific points are discussed including linkage disequilibrium, feature of populations and genotyped markers and breeding scheme. Currently, GS is not perfect, but it is a potent, attractive and valuable approach for plant breeding. This method will be integrated into many practical breeding programmes in the near future with further advances and the maturing of its theory.
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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.