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. 2015 Aug 1;47(1):61. doi: 10.1186/s12711-015-0143-3

Table 3.

Total number of haploblock variables to be used in the prediction models of the three traits using Bayesian BLUP or mixture models, according to number of main SNP effects

Main Protein Fertility Mastitis
SNPs BLUP 4 mixture BLUP 4 mixture BLUP 4 mixture
1000 5701 5761 5824 6007 5815 5816
2000 11 479 11 387 11 478 11 657 11 514 11 475
3000 17 012 16 854 17 016 17 258 17 000 17 081
4000 22 464 22 311 22 494 22 720 22 378 22 603
5000 27 777 27 741 27 790 27 976 27 754 27 775
6000 32 956 32 941 33 046 33 232 32 910 32 957
7000 38 223 38 024 38 097 38 222 38 197 37 946
8000 43 166 43 099 42 938 43 121 43 265 42 893
9000 47 838 48 044 47 966 48 076 48 101 47 879
10 000 52 553 52 938 52 697 52 783 52 769 52 573
20 000 95 234 95 882 95 669 95 710 95 459 95 055
30 000 130 572 130 865 131 045 130 969 130 735 129 994
40 000 160 108 160 600 160 355 160 195 160 000 159 680
50 000 185 225 185 603 185 839 185 000 184 935 184 661
492 057 368 709 368 709 368 709 368 709 368 709 368 709

number of highest (absolute) SNP effects used to select haploblocks