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Table 3 Mean Awassi level estimated by different subset of top ranked and bottom ranked SNPs and t-test results comparing each subset with the reference top 74 selected SNPs

From: Identifying highly informative genetic markers for quantification of ancestry proportions in crossbred sheep populations: implications for choosing optimum levels of admixture

Number of SNPs per AIMsa

Number of animals

Selected from top

Selected from bottom

 

Mean ± SEc

RMSE

P-valueb

Mean ± SEc

RMSEd

P-valueb

65

755

0.224 ± 0.0092

0.013

0.891

0.221 ± 0.0092

0.017

0.9121

55

755

0.222 ± 0.0092

0.020

0.984

0.220 ± 0.0092

0.028

0.8576

45

755

0.224 ± 0.0092

0.028

0.906

0.221 ± 0.0090

0.037

0.9413

35

755

0.235 ± 0.0092

0.037

0.314

0.234 ± 0.0090

0.045

0.3557

25

755

0.240 ± 0.0094

0.050

0.222

0.237 ± 0.0089

0.058

0.2635

15

755

0.239 ± 0.0093

0.067

0.207

0.267 ± 0.0087

0.089

0.0004

  1. aEach subset was compared with the top 74 SNPs (mean ± SE = 0.222 ± 0.0092)
  2. b P = probability value of t-test,cSE = standard error, dRMSE = root mean square error