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Table 4 Heritability (diagonal), genetic correlation (lower triangular), and residual correlation (upper triangular) of the growth curve parameters A, B, and K estimated by each model

From: Development of a structural growth curve model that considers the causal effect of initial phenotypes

  

\(A\)

\(B\)

\(K\)

SGCa

\(A\)

0.97 (0.90, 1.00)

0.34 (− 0.20, 0.83)

− 0.57 (− 0.96, − 0.05)

 

\(B\)

0.63 (0.57, 0.69)

0.91 (0.84, 0.97)

− 0.30 (− 0.79, 0.22)

 

\(K\)

− 0.69 (− 0.73, − 0.64)

− 0.67 (− 0.76, − 0.58)

0.91 (0.78, 0.99)

GC_Ab

\(A\)

0.96 (0.89, 0.99)

0.35 (− 0.25, 0.83)

− 0.42 (− 0.92, 0.20)

 

\(B\)

0.69 (0.59, 0.77)

0.66 (0.53, 0.78)

− 0.26 (− 0.76, 0.34)

 

\(K\)

− 0.77 (− 0.81, − 0.73)

− 0.67 (− 0.75, − 0.58)

0.96 (0.91, 0.99)

GC_Bc

\(A\)

0.94 (0.89, 0.99)

0.61 (0.21, 0.91)

− 0.51 (− 0.93, 0.03)

 

\(B\)

− 0.30 (− 0.44, − 0.17)

0.69 (0.55, 0.84)

− 0.28 (− 0.78, 0.30)

 

\(K\)

− 0.75 (− 0.79, − 0.71)

0.65 (0.55, 0.74)

0.95 (0.91, 0.99)

  1. Values are posterior means, with the 95% highest posterior density interval shown in parentheses
  2. aStructural growth curve model fitted to the data with the entry day to the experimental station set as the initial day
  3. bGrowth curve model fitted to the data with the entry day to the experimental station set as the initial day
  4. cGrowth curve model fitted to the data with the birth day set as the initial day