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. 2021 Oct 7;53:78. doi: 10.1186/s12711-021-00661-y

Table 4.

Observed accuracy of predicting original and corrected phenotypic values for the best SNP and haplotype models

Trait
AGW ADG BJS FCR LMA LMD BF TN Mean
Best SNP prediction model (as defined in Table 3)
 R^0ys 0.252 0.259 0.258 0.202 0.402 0.364 0.387 0.405 0.316
 R^0rs 0.256 0.262 0.138 0.204 0.415 0.394 0.399 0.407 0.309
Haplotype prediction accuracy
 Best model H H H D + H H A + D + H A + D + H A + D + H
 Best blocking 500 kb 500 kb 100 kb 1 Mb Genes Genes 1 Mb Genes
 R^0yh 0.270 0.276 0.277 0.212 0.413 0.371 0.392 0.406 0.327
 R^0rh 0.269 0.274 0.157 0.211 0.426 0.400 0.403 0.409 0.319
 R^0ys/R^0rs-1,% − 1.0 0.5 88.9 − 1.5 0.3 − 2.9 − 1.7 − 3.6
 R^0yh/R^0rh-1,% 0.7 2.7 74.6 0.3 − 0.2 − 2.4 − 1.8 − 3.8

R^0ys, observed accuracy of predicting phenotypic values by the best SNP model using the original phenotypic values; R^0rs, observed accuracy of predicting phenotypic values by the best SNP model using the corrected phenotypic values; R^0yh, observed accuracy of predicting phenotypic values by the best haplotype model using the original phenotypic values; R^0rh, observed accuracy of predicting phenotypic values by the best haplotype model using the corrected phenotypic values; A, SNP additive values; D, SNP dominance values; H, haplotype additive values; AGW, age at 100 kg live weight; ADG, daily gain. BJS: body judging score; FCR, Feed conversion ratio; LMA, loin muscle area; LMD, loin muscle depth; BF, back fat thickness; TN, teat number