ArticleBMC genomics2025
Improving genomic prediction of vitamin C content in spinach using GWAS-derived markers.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Genome-wide association and genomic prediction of anthracnose (Colletotrichum dematium) resistance in spinach.The plant genome · 2026Article
- GWAS-Guided Compact SNP Panels Enable Breeding-Relevant Prediction of Bolting and Flowering Timing of Lettuce.Plants (Basel, Switzerland) · 2026Article
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Authors and funding
4 authors.
Funding
Abstract
Vitamin C (VC), also known as ascorbic acid and ascorbate, is a water-soluble antioxidant in plants that promotes skin health and immune function in humans. Spinach (Spinacia oleracea L.) is a leafy green widely consumed for its health benefits. Recent reports have shown that nutritional content, including VC, can be improved in spinach. However, due to its complex inheritance, new selection methods are needed to improve selection for cultivar development. In this study, single nucleotide polymorphism (SNP) markers identified by genome-wide association (GWAS) were used for genomic prediction (GP) to improve prediction accuracy (PA) for VC content in spinach. A set of 147,977 SNPs generated from whole genome resequencing was used for GWAS in a panel of 347 spinach genotypes by six GWAS models. Sixty-two SNP markers distributed on all six spinach chromosomes were associated with VC content. PA for the selection of VC content was estimated with fourteen random SNP sets across seven GP models. The results indicated that the PA can be > 40% after using 1,000 or more SNPs in six of the seven models tested; using GWAS-derived significant SNP markers PA increases to a high r-value up to 0.7 when using 62 associated SNP markers in Bayes ridge regression (BRR) model. Upon validation, identified accessions with high VC and high PA genomic selection model can be used in spinach breeding programs to develop high VC content cultivars.
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