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. 2023 Nov 15;14:1281755. doi: 10.3389/fpls.2023.1281755

Table 2.

Significant SNPs identified in multiple GWAS models (FarmCPU, Blink, MLMM, and MLM) for young fruit resistance in the cucumber core collection.

SNP Chr Position (bp) 1 p-value/PVE (percent phenotypic variation explained) (%)
FarmCPU BLINK MLMM MLM
S1_21117743 1 21,117,743 5.15E-13/9.01 1.73E-8/7.74
S2_10199046 2 10,199,046 8.31E-10/3.63
S2_10226744 2 10,226,744 3.85E-5/3.60 9.76E-10/24.49 5.95E-9/1.44
S3_18480786 3 18,480,786 1.06E-8/0.38
S3_37752706 3 37,752,706 3.37E-11/1.53 4.49E-10/2.09
S4_8024257 4 8,024,257 2.64E-9/2.25
S5_23563699 5 23,563,699 1.73E-8/3.23
S6_29086459 6 29,086,459 2.70E-8/2.03
S6_29175300 6 29,175,300 3.31E-11/5.48
S7_3391182 7 3,391,182 9.52E-9/0.79
S7_17739386 7 17,739,386 6.04E-9/1.35

1Genomic locations are according to Gy14 v. 2.1 (CuGenDB v.2; http://cucurbitgenomics.org/v2/).