ArticleG3 (Bethesda, Md.)2019
Genomic Selection with Allele Dosage in
Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- From family trials to genomic mate allocation: statistical and genomic strategies to accelerate sugarcane genetic improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Potassium Fertilization Reduces the Severity of Leaf Spot Complex and Mosaic inPlants (Basel, Switzerland) · 2026Article
- Tests for segregation distortion in higher ploidy F1 populations.G3 (Bethesda, Md.) · 2025Article
- Genetic linkage mapping in Megathyrsus maximus (Jacq.) with multiple dosage markers.G3 (Bethesda, Md.) · 2025Article
- Genomic prediction and association analyses for breeding parthenocarpic blueberries.Horticulture research · 2025Article
- Forage Crop Research in the Modern Age.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Understanding the genetic basis of blueberry postharvest traits to define better breeding strategies.G3 (Bethesda, Md.) · 2024Article
- Article
- Use of continuous genotypes for genomic prediction in sugarcane.The plant genome · 2024Article
- polyGBLUP: a modified genomic best linear unbiased prediction improved the genomic prediction efficiency for autopolyploid species.Briefings in bioinformatics · 2024Article
- Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non-additive variation for key traits.The plant genome · 2023Article
- Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids.The plant genome · 2023Article
- Complex polyploid and hybrid species in an apomictic and sexual tropical forage grass group: genomic composition and evolution in Urochloa (Brachiaria) species.Annals of botany · 2023Article
- Genome-wide family prediction unveils molecular mechanisms underlying the regulation of agronomic traits inFrontiers in plant science · 2023Article
- Alfalfa genomic selection for different stress-prone growing regions.The plant genome · 2022Article
- Allele expression biases in mixed-ploid sugarcane accessions.Scientific reports · 2022Article
- Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits.Frontiers in genetics · 2022Review
- Perspective for genomic-enabled prediction against black sigatoka disease and drought stress in polyploid species.Frontiers in plant science · 2022Review
- Strategies to Increase Prediction Accuracy in Genomic Selection of Complex Traits in Alfalfa (Cells · 2021Review
- Genomic prediction in family bulks using different traits and cross-validations in pine.G3 (Bethesda, Md.) · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic selection is an efficient approach to get shorter breeding cycles in recurrent selection programs and greater genetic gains with selection of superior individuals. Despite advances in genotyping techniques, genetic studies for polyploid species have been limited to a rough approximation of studies in diploid species. The major challenge is to distinguish the different types of heterozygotes present in polyploid populations. In this work, we evaluated different genomic prediction models applied to a recurrent selection population of 530 genotypes of
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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.