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. 2020 Oct 15;10:17480. doi: 10.1038/s41598-020-74623-7

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Estimation of cumulative effects of top-ranked SNPs detected by GWAS on five phenotypes of tea quality-related metabolites in the GP model. The cumulative effects of genomic prediction accuracy were evaluated using 20–300 top-ranked SNPs detected by the GWAS at 20 SNP intervals. Data and error bars are the means ± standard deviations (10 replicates of tenfold CV). 20–300 randomly selected SNPs were also used as a reference.