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. 2019 Jan 8;215(2):14. doi: 10.1007/s10681-018-2331-z

Table 4.

Statistics of QTLs from cofactor analysis

Year Naive QTL(s) as cofactor(s): chr. (position)a LOD scores of QTLs by cofactor analysis (chr. and position)b R2 of QTLs by cofactor analysisc New QTLs identified by cofactor analysis: chr. (position)d
2013 3 (56) 5.7 (9-40) Fig. S1 0.051 No
2013 9 (48) 7.8 (3-56) Fig. S2 0.07 No
2013 3 (56) + 9 (48) N.S. Fig. S3 N.S. No
2014 2 (21) 9.3 (5-24); 5.5 (5-78) Fig. S4 0.083; 0.050 5 (78)
2014 5 (25) 6.2 (2-23) Fig. S5 0.056 No
2014 2 (21) + 5 (25) N.S. Fig. S6 N.S. No
BLUEs 2012–2014 2 (30) 5.4 (1-67); 9.1 (3-69); 6.3 (9-40) Fig. S7 0.049; 0.081; 0.056 1 (67)
3 (69) 6.8 (2-30); 5.7 (9-40) Fig. S8 0.062; 0.052 No
9 (48) 6.2 (2-30); 7.4 (3-69) Fig. S9 0.056; 0.067 No
2 (30) + 3 (69) 6.1 (9-40) Fig. S10 0.059 No
2 (30) + 9 (48) 8.2 (3-69); 5.9 (5-83) Fig. S11 0.074; 0.053 5 (83)
3 (69) + 9 (48) 6.7 (2-28) Fig. S12 0.06 No
2 (30) + 3 (69) + 9 (48) N.S. Fig. 6 N.S. No

Chr., chromosome; Position, QTL peak position in centiMorgan (cM); LOD, logarithm of the odds; BLUEs, best linear unbiased estimates; N.S., non-significant

aQTL(s) identified by naive QTL analysis (Table 3)

bQTL(s) identified by cofactor QTL analysis after one or more QTL(s) identified by naive QTL analysis were used as cofactors

cVariance explained (R2) of QTL(s) identified by cofactor QTL analysis

dNew QTLs identified by cofactor QTL analysis that were not identified by naive QTL analysis