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Table 2 Estimates of narrow-sense heritabilities (h 2) and predictive abilities (r gy ), obtained using pedigree data (ABLUP) and genomic data (several methods), for the E. benthamii and E. pellita breeding populations

From: Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus

Method

Filter

E. benthamii

E. pellita

DBH

HT

WV

DBH

HT

WV

h 2

r gy (SE)

h 2

r gy (SE)

h 2

r gy (SE)

h 2

r gy (SE)

h 2

r gy (SE)

h 2

r gy (SE)

ABLUP

 

0.326 (NA)

0.148 (0.045)

0.088 (NA)

0.090 (0.033)

0.297 (NA)

0.142 (0.039)

0.000 (NA)

- 0.030 (0.028)

0.019 (NA)

0.040 (0.028)

0.000 (NA)

- 0.009 (0.026)

GBLUP

MAF > 0

0.181 (NA)

0.157 (0.044)

0.000 (NA)

0.006 (0.044)

0.147 (NA)

0.141 (0.041)

0.466 (NA)

0.439 (0.019)

0.260 (NA)

0.342 (0.042)

0.424 (NA)

0.424 (0.028)

Bayes A

0.202 (0.017)

0.160 (0.045)

0.058 (0.016)

0.010 (0.040)

0.165 (0.020)

0.141 (0.041)

0.465 (0.008)

0.440 (0.019)

0.280 (0.011)

0.342 (0.042)

0.428 (0.008)

0.424 (0.028)

Bayes B

0.287 (0.032)

0.166 (0.045)

0.155 (0.052)

0.003 (0.041)

0.284 (0.028)

0.146 (0.038)

0.527 (0.020)

0.439 (0.019)

0.341 (0.017)

0.342 (0.042)

0.517 (0.025)

0.425 (0.028)

Bayes CÏ€

0.267 (0.017)

0.158 (0.044)

0.109 (0.007)

0.016 (0.039)

0.237 (0.014)

0.148 (0.039)

0.480 (0.007)

0.439 (0.019)

0.303 (0.009)

0.342 (0.042)

0.453 (0.007)

0.423 (0.028)

BL

0.133 (0.019)

0.155 (0.045)

0.044 (0.004)

0.010 (0.042)

0.103 (0.011)

0.140 (0.041)

0.414 (0.021)

0.434 (0.021)

0.242 (0.014)

0.338 (0.043)

0.406 (0.007)

0.424 (0.028)

BRR

0.267 (0.008)

0.162 (0.044)

0.190 (0.005)

0.022 (0.036)

0.243 (0.008)

0.146 (0.039)

0.455 (0.005)

0.441 (0.019)

0.283 (0.008)

0.342 (0.042)

0.418 (0.005)

0.425 (0.028)

GBLUP

MAF ≥ 0.05

0.179 (NA)

0.153 (0.044)

0.000 (NA)

0.009 (0.044)

0.144 (NA)

0.138 (0.041)

0.457 (NA)

0.437 (0.020)

0.254 (NA)

0.340 (0.042)

0.419 (NA)

0.422 (0.028)

Bayes A

0.214 (0.013)

0.158 (0.045)

0.073 (0.008)

0.020 (0.040)

0.190 (0.017)

0.144 (0.041)

0.463 (0.007)

0.438 (0.020)

0.279 (0.008)

0.340 (0.042)

0.437 (0.005)

0.422 (0.028)

Bayes B

0.354 (0.041)

0.162 (0.045)

0.110 (0.016)

0.019 (0.040)

0.269 (0.029)

0.146 (0.040)

0.551 (0.020)

0.438 (0.019)

0.393 (0.036)

0.339 (0.042)

0.501 (0.010)

0.423 (0.028)

Bayes CÏ€

0.259 (0.011)

0.157 (0.046)

0.116 (0.006)

0.020 (0.039)

0.232 (0.008)

0.143 (0.040)

0.485 (0.005)

0.437 (0.020)

0.300 (0.008)

0.340 (0.042)

0.449 (0.007)

0.423 (0.028)

BL

0.143 (0.023)

0.153 (0.043)

0.045 (0.003)

0.020 (0.041)

0.101 (0.009)

0.134 (0.041)

0.408 (0.009)

0.427 (0.023)

0.244 (0.010)

0.339 (0.041)

0.403 (0.006)

0.422 (0.029)

BRR

 

0.260 (0.007)

0.158 (0.044)

0.184 (0.004)

0.025 (0.036)

0.239 (0.006)

0.143 (0.040)

0.443 (0.005)

0.437 (0.020)

0.280 (0.008)

0.341 (0.042)

0.415 (0.006)

0.422 (0.028)

  1. NA - The standard error of the heritability could not be estimated using rrBLUP
  2. Pedigree BLUP (ABLUP, Pedigree Best Linear Unbiased Predictor), Genomic BLUP (GBLUP, Genomic Best Linear Unbiased Predictor), BL (Bayesian Lasso), BRR (Bayesian Ridge-Regression), MAF (Minimum Allele Frequency), DBH, cm (Diameter at Breast Height), HT, m (Total Height) and WV, m 3 (Wood Volume), SE (Standard Error)