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. 2014 Dec 4;14:242. doi: 10.1186/s12862-014-0242-8

Table 4.

Phenotypic covariance structure (P) and its additive genetic (G), nest (N) and residual (R) components

Matrix Trait Tarsus PHA Hematocrit Condition
P Tarsus 0.053 (0.026) 0.021 (0.023) 0.605 (0.020)
PHA 0.011 (0.005) −0.004 (0.025) 0.108 (0.023)
Haematocrit 0.093 (0.125) −0.007 (0.049) 0.138 (0.022)
Condition 0.382 (0.02) 0.03 (0.007) 0.835 (0.139)
G Tarsus −0.130 (0.759) −0.648 (0.701) 0.516 (0.434)
PHA −0.002 (0.0140) 0.020 (0.545) 0.361 (0.529)
Haematocrit −0.334 (0.303) 0.004 (0.095) −0.384 (0.470)
Condition 0.038 (0.045) 0.01 (0.015) −0.306 (0.329)
N Tarsus 0.082 (0.114) 0.077 (0.122) 0.436 (0.105)
PHA 0.006 (0.008) −0.035 (0.080) 0.097 (0.080)
Haematocrit 0.115 (0.183) −0.035 (0.08) 0.278 (0.077)
Condition 0.083 (0.026) 0.012 (0.01) 0.729 (0.217)
R Tarsus 0.074 (0.082) 0.124 (0.088) 0.629 (0.057)
PHA 0.008 (0.008) 0.050 (0.087) 0.066 (0.079)
Haematocrit 0.283 (0.199) 0.037 (0.066) 0.175 (0.080)
Condition 0.221 (0.03) 0.008 (0.009) 0.442 (0.207)

P was estimated from a multivariate model with no random effects while individual identification and nest were then included to decompose the covariance matrix into G, N and R. Values below the diagonals are covariances (with SE) and values above the diagonals are the corresponding correlations. Bold values denote nominally significant parameter at P <0.05 based |estimate| ≥2SE.