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Table 2 Putative QTL for additional food-grade traits of interest (seed yield, seed weight and sucrose concentration) associated with major seed protein concentration QTL identified by multiple QTL mapping (MQM) in a RIL population derived from ‘AC X790P x S18-R6’ and ‘AC X790P x S23-T5’ examined under combined Ontario environments from 2015 and 2016

From: Genomic regions associated with important seed quality traits in food-grade soybeans

Protein QTL QTL Namea Chr. POPn Flanking Markers Size (cM) LODb Ac R2 (%) Source Relationship
qPro_Gm01–2 qSuc_Gm01–2 1 2 S01_42371693 S01_42555910 2.19 6.67 0.1472 14.5 AC X790P Inverse
qPro_Gm02–3 qSuc_Gm02–3 2 2 S02_40716331 S02_42411031 11.17 5.46 0.1993 10.7 S23-T5 Inverse
qPro_Gm05–2 qWt_Gm5–2 5 2 S05_38273700 S05_38764985 1.94 3.98 1.2482 8.1 S23-T5 Inverse
qPro_Gm06–1 qWt_Gm6–1 6 1 S06_19074 S06_798961 2.24 4.46 0.3927 10.3 S18-R6 Positive
qPro_Gm06–6 qWt_Gm6–3 6 1 S06_30639643 S06_33589987 0.28 4.20 0.3754 9.4 AC X790P Positive
qPro_Gm08–2 qWt_Gm8–2 8 1 S08_43325761 S08_43864912 17.39 4.29 0.5042 9.6 AC X790P Positive
qPro_Gm12–4 qSuc_Gm12–1 12 1 S12_3518939 S12_3666689 7.64 5.49 0.1495 12.4 AC X790P Inverse
qPro_Gm15–3 qWt_Gm15–4 15 2 S15_10731054 S15_11188445 3.33 2.78 0.8428 5.3 AC X790P Positive
  1. aQTL for the same trait detected in all individual environments (CHA15, CHA16, MER15, MER16 and PAL16) and the combined environment (GMET) with the same or overlapping marker interval was designated as one QTL
  2. bLOD thresholds were calculated through a permutation test with 1000 iterations and a Type I error rate of 0.001
  3. cAdditive effects calculated as the absolute value of half the subtraction of the mean of genotypes with the ‘S18-R6’ (‘POPn_1’) or ‘S23-T5’ (POPn_2) allele (negative effect) from the mean of genotypes with the ‘AC X790P’ allele (positive allele)
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