ArticleThe plant genome2020
Accuracy of genomic selection and long-term genetic gain for resistance to Verticillium wilt in strawberry.
Article in The plant genome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Scalable medium-density genotyping platforms for cultivar identification, pedigree authentication, marker-assisted and genomic selection, and other applications in strawberry.G3 (Bethesda, Md.) · 2026Article
- Molecular Mechanisms in Responses to Combined Stresses in Strawberry.Current issues in molecular biology · 2026Review
- Genomic prediction of wild-derived powdery mildew resistance for strawberry (Fragaria × ananassa) pre-breeding.Heredity · 2026Article
- Genetic architecture of angular leaf spot resistance in cultivated strawberry shaped by epistasis and genotype-by-environment interactions.The plant genome · 2026Article
- Association-Based Analysis of Verticillium Wilt Resistance in a Bi-Parental Hop (Plants (Basel, Switzerland) · 2026Article
- Genome-wide association study of exotic Fragaria germplasm accessions for resistance to Phytophthora crown rot in strawberry.BMC plant biology · 2026Article
- Whole-genome sequencing bulked segregant analysis uncovered FW7, a Fusarium wilt resistance gene masked by epistasis in octoploid strawberry.The plant genome · 2025Article
- Genome-wide association study identifies quantitative trait loci associated with resistance to Verticillium dahliae race 3 in tomato.The plant genome · 2025Article
- Exploring the efficacy of phenomic and genomic selection for yield and fruit quality traits in strawberry.The plant genome · 2025Article
- The PERPETUAL FLOWERING locus: Necessary but insufficient for genomic prediction of runnerless and other asexual reproduction phenotypes in strawberry.The plant genome · 2025Article
- Artificial Intelligence-Assisted Breeding for Plant Disease Resistance.International journal of molecular sciences · 2025Review
- Genetic analysis of predicted vegetative biomass and biomass-related traits from digital phenotyping of strawberry.The plant genome · 2025Article
- optRF: Optimising random forest stability by determining the optimal number of trees.BMC bioinformatics · 2025Article
- Within-family genomic selection in strawberry: Optimization of marker density, trial design, and training set composition.The plant genome · 2025Article
- Loss-of-function mutations in the fruit softening geneHorticulture research · 2025Article
- A Dominance Hypothesis Argument for Historical Genetic Gains and the Fixation of Heterosis in Octoploid Strawberry.Genetics · 2024Article
- Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024Article
- Genetic gains underpinning a little-known strawberry Green Revolution.Nature communications · 2024Article
- Accelerating genetic gains for quantitative resistance to verticillium wilt through predictive breeding in strawberry.The plant genome · 2024Article
- Transgressive segregation, hopeful monsters, and phenotypic selection drove rapid genetic gains and breakthroughs in predictive breeding for quantitative resistance toHorticulture research · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Verticillium wilt, a soil-borne disease caused by the fungal pathogen Verticillium dahliae, threatens strawberry (Fragaria × ananassa) production worldwide. The development of resistant cultivars has been a persistent challenge, in part because the genetics of resistance is complex. The heritability of resistance and genetic gains in breeding for resistance to this pathogen have not been well documented. To elucidate the genetics, assess long-term genetic gains, and estimate the accuracy of genomic selection for resistance to Verticillium wilt, we analyzed a genetically diverse population of elite and exotic germplasm accessions (n = 984), including 245 cultivars developed since 1854. We observed a full range of phenotypes, from highly susceptible to highly resistant: < 3% were classified as highly resistant, whereas > 50% were classified as moderately to highly susceptible. Broad-sense heritability estimates ranged from 0.70-0.76, whereas narrow-sense genomic heritability estimates ranged from 0.33-0.45. We found that genetic gains in breeding for resistance to Verticillium wilt have been negative over the last 165 years (mean resistance has decreased over time). We identified several highly resistant accessions that might harbor favorable alleles that are either rare or non-existent in modern populations. We did not observe the segregation of large-effect loci. The accuracy of genomic predictions ranged from 0.38-0.53 among years and whole-genome regression methods. We show that genomic selection has promise for increasing genetic gains and accelerating the development of resistant cultivars in strawberry by shortening selection cycles and enabling selection in early developmental stages without phenotyping.
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