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Multivariate analysis for each trial provided estimates of trait narrow-sense heritabilities (h2) and genetic correlations between traits.
The estimates of trait heritability when using the genomic relationship matrix was comparable but slightly higher than the equivalent model using the pedigree relationships (~ 0.6 vs ~ 0.5).
The heritability estimates of trait resilience found in this study exceeds that from an earlier study by Boardman et al. (2008).
Thus, for most studies, we cannot exclude the possibility that long-term carry-over effects including epigenetic inheritance can influence estimates of trait value divergence obtained, although the assay conditions were properly controlled.
For all three SNPs, we highlight mechanistic links to AMH gene function and demonstrate highly significant sex interactions (PHet 0.0003 6.3 × 10−12), culminating in contrasting estimates of trait variance explained (24.5% in males versus 0.8% in females).
We then asked how the presence of latitudinal clines among native and/or introduced populations influenced estimates of trait differences between ranges, and how clines may affect tests of EICA.
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In general, estimates of trait-DGV genetic correlations were higher in Limousin than in Simmental animals (the averages across traits were 0.55 and 0.50 for Limousin and Simmental, respectively).
For several species there were multiple independent estimates of traits.
Hence, we anticipate that estimates of traits in GiA Roots should coincide with prior estimates.
Larger groups typically yield less variable estimates of traits than smaller groups, therefore violating the assumption of equality in variances.
Because treatment and broodstock source for any h estimate were correlated (Spearman's rank test, r = 0.420, P < 0.001), we compared h estimates of traits while considering treatment and broodstock source simultaneously.
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