ArticleFrontiers in genetics2019
Epistasis Detection and Modeling for Genomic Selection in Cowpea (
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Application of Omics Technologies for Cowpea Improvement.Plant-environment interactions (Hoboken, N.J.) · 2026Review
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Mean and variance heterogeneity loci impact kernel compositional traits in maize.The plant genome · 2025Article
- Article
- Epistasis and pleiotropy-induced variation for plant breeding.Plant biotechnology journal · 2024Review
- The pattern of genetic variability in a core collection of 2,021 cowpea accessions.G3 (Bethesda, Md.) · 2024Article
- Genomic dissection of additive and non-additive genetic effects and genomic prediction in an open-pollinated family test of Japanese larch.BMC genomics · 2024Article
- A Genome-Wide Association Study Reveals Region Associated with Seed Protein Content in Cowpea.Plants (Basel, Switzerland) · 2023Article
- Cowpea Constraints and Breeding in Europe.Plants (Basel, Switzerland) · 2023Review
- NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction.Frontiers in plant science · 2022Article
- Review
- Loci discovery, network-guided approach, and genomic prediction for drought tolerance index in a multi-parent advanced generation intercross (MAGIC) cowpea population.Horticulture research · 2021Article
- Genome-Wide Association Study Reveals Candidate Genes for Flowering Time in Cowpea (Frontiers in genetics · 2021Article
- Epistasis Detection and Modeling for Genomic Selection in Cowpea (Frontiers in genetics · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic architecture reflects the pattern of effects and interaction of genes underlying phenotypic variation. Most mapping and breeding approaches generally consider the additive part of variation but offer limited knowledge on the benefits of epistasis which explains in part the variation observed in traits. In this study, the cowpea multiparent advanced generation inter-cross (MAGIC) population was used to characterize the epistatic genetic architecture of flowering time, maturity, and seed size. In addition, consideration for epistatic genetic architecture in genomic-enabled breeding (GEB) was investigated using parametric, semi-parametric, and non-parametric genomic selection (GS) models. Our results showed that large and moderate effect-sized two-way epistatic interactions underlie the traits examined. Flowering time QTL colocalized with cowpea putative orthologs of
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