. 2019 Jun 6;9(8):2463–2475. doi: 10.1534/g3.118.200986

Table 1. Variance and covariance structures examined for genetic ( $G_{L}$ matrix) and residual effects ( $R_{L}$ matrix).

Model	$n_{P A R}$ ^a	Description
ID	1	Identical variation
DIAG	L	Heterogeneous variation
CS	2	Compound symmetry with homogeneous variation
CS $_{H e t}$	L + 1	Compound symmetry with heterogeneous variation
AR1	2	First-order autoregressive model with homogeneous variation
AR1 $_{H e t}$	L + 1	First-order autoregressive model with heterogeneous variation
Po	2	Power model with homogeneous variation
Po $_{H e t}$	L + 1	Power model with heterogeneous variation
US	L(L+1)/2	Unstructured model

The number of parameters for the models, where L is the number of harvests.

Table 1. Variance and covariance structures examined for genetic (GL matrix) and residual effects (RL matrix).