Accuracy of genotype imputation in Nelore cattle

Table 6 Average (standard deviation) imputation accuracy, using dams or young sires as validation set

Analyses¹	SNP chip²	Dams	Young sires
17 and 1	7 K	0.8791 (0.0474)	0.9257 (0.0346)
18 and 2	50 K	0.9603 (0.0190)	0.9783 (0.0136)
19 and 3	GGP20Ki	0.9566 (0.0211)	0.9771 (0.0143)
20 and 4	GGP75Ki	0.9846 (0.0082)	0.9922 (0.0056)
21 and 8	15K_eml	0.9680 (0.0164)	0.9840 (0.0107)
22 and 9	11a7 K	0.9658 (0.0173)	0.9823 (0.0117)
23 and 12	48a7 K	0.9864 (0.0070)	0.9931 (0.0049)

¹Imputation analyses using FImpute (considering family information) and different validation sets; the numbers of each analysis refer to those in brackets from Figure 1; the first and the second numbers refer to analyses using dams or young sires as validation set, respectively; ²as described in the section ¿SNP chips¿ of ¿Methods¿.

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