ArticleThe plant genome2018
Genomic Prediction in a Multiploid Crop: Genotype by Environment Interaction and Allele Dosage Effects on Predictive Ability in Banana.
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 27 papers.
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Who cites it
27 citing papers in PubMed.
- Advances and prospects of genomic-assisted breeding in roots, tubers, and banana crops.Frontiers in plant science · 2026Review
- Banana breeding by genome design.Journal of integrative plant biology · 2025Review
- Combining ability of banana triploid hybrid progenitors and genomic prediction of cross performance for agro-morphological traits.Genetics · 2025Article
- Shaping the future of bananas: advancing genetic trait regulation and breeding in the postgenomics era.Horticulture research · 2025Article
- Quantitative genetic analysis of late spring mortality in triploid Crassostrea virginica.Genetics, selection, evolution : GSE · 2025Article
- Big data and artificial intelligence-aided crop breeding: Progress and prospects.Journal of integrative plant biology · 2025Review
- Genome-wide association for agro-morphological traits in a triploid banana population with large chromosome rearrangements.Horticulture research · 2025Article
- Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024Article
- Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics.Frontiers in plant science · 2023Review
- Genomic selection in tropical perennial crops and plantation trees: a review.Molecular breeding : new strategies in plant improvement · 2022Review
- Heritability and Associations among Grain Yield and Quality Traits in Quality Protein Maize (QPM) and Non-QPM Hybrids.Plants (Basel, Switzerland) · 2022Article
- Perspective for genomic-enabled prediction against black sigatoka disease and drought stress in polyploid species.Frontiers in plant science · 2022Review
- Genomic Approaches for Improvement of Tropical Fruits: Fruit Quality, Shelf Life and Nutrient Content.Genes · 2021Review
- Improvements in the Resistance of the Banana Species to Fusarium Wilt: A Systematic Review of Methods and Perspectives.Journal of fungi (Basel, Switzerland) · 2021Review
- A review of deep learning applications for genomic selection.BMC genomics · 2021Review
- Continuous Mapping Identifies Loci Associated With Weevil Resistance [Frontiers in plant science · 2021Article
- Sequencing depth and genotype quality: accuracy and breeding operation considerations for genomic selection applications in autopolyploid crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Genomic Patterns of Introgression in Interspecific Populations Created by Crossing Wheat with Its Wild Relative.G3 (Bethesda, Md.) · 2020Article
- Article
- Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.Frontiers in plant science · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving the efficiency of selection in conventional crossbreeding is a major priority in banana ( spp.) breeding. Routine application of classical marker assisted selection (MAS) is lagging in banana due to limitations in MAS tools. Genomic selection (GS) based on genomic prediction models can address some limitations of classical MAS, but the use of GS in banana has not been reported to date. The aim of this study was to evaluate the predictive ability of six genomic prediction models for 15 traits in a multi-ploidy training population. The population consisted of 307 banana genotypes phenotyped under low and high input field management conditions for two crop cycles. The single nucleotide polymorphism (SNP) markers used to fit the models were obtained from genotyping by sequencing (GBS) data. Models that account for additive genetic effects provided better predictions with 12 out of 15 traits. The performance of BayesB model was superior to other models particularly on fruit filling and fruit bunch traits. Models that included averaged environment data were more robust in trait prediction even with a reduced number of markers. Accounting for allele dosage in SNP markers (AD-SNP) reduced predictive ability relative to traditional bi-allelic SNP (BA-SNP), but the prediction trend remained the same across traits. The high predictive values (0.47- 0.75) of fruit filling and fruit bunch traits show the potential of genomic prediction to increase selection efficiency in banana breeding.
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