Genomic dissection of additive and non-additive genetic effects and genomic prediction in an open-pollinated family test of Japanese larch

Table 2 AIC and BIC values of the 7 models (3 ABLUP and 4 GBLUP models) for the analyzed traits

Traits	Information criterion	ABLUP-OP	ABLUP-FS-A	ABLUP-FS-AD	GBLUP-A	GBLUP-AD	GBLUP-ADI	GBLUP-ADIE
H	AIC	380.95	383.44	383.38	380.22	380.15	380.15	377.81
H	BIC	434.85	437.35	437.29	434.13	434.06	434.06	431.72
DBH	AIC	540.30	542.43	541.89	545.82	544.99	544.99	543.83
DBH	BIC	594.20	596.34	595.80	599.72	598.90	598.90	597.73
V	AIC	507.72	510.19	510.17	510.42	509.18	509.18	507.23
V	BIC	501.79	564.09	564.07	501.09	500.12	500.12	492.84
CI	AIC	587.40	587.98	587.93	583.46	583.46	580.73	578.08
CI	BIC	640.94	641.52	641.47	637.00	637.00	634.27	631.62
PILODYN	AIC	529.82	528.30	528.30	514.51	514.42	510.97	NA
PILODYN	BIC	559.86	558.34	558.34	544.55	544.46	541.01	NA
AV	AIC	522.91	524.02	523.30	518.65	516.46	516.46	502.68
AV	BIC	576.78	577.89	577.17	572.52	570.33	570.33	556.55
HOLOCEL	AIC	366.71	440.06	438.85	463.51	463.51	462.90	462.90
HOLOCEL	BIC	414.26	487.60	486.40	511.06	511.06	510.44	510.44
HEMICEL	AIC	390.52	459.08	NA	469.59	469.59	469.59	469.59
HEMICEL	BIC	438.07	506.62	NA	517.14	517.14	517.14	517.14
LIGNIN	AIC	363.73	423.96	423.96	462.94	462.56	462.56	NA
LIGNIN	BIC	411.27	471.51	471.51	510.49	510.10	510.10	NA

Note: See Table 1 for full description of traits. AIC: Akaike Information Criterion; BIC: SchwarzBayesian information criterion; ABLUP-OP: the OP pedigree-based individual tree model (using the additive relationship matrix \({A}_{A}\) estimated from the OP pedigree with known maternity only); ABLUP-FS-A: the FS pedigree-based individual tree model (using the additive relationship matrix \({A}_{A}\) matrix estimated from the FS pedigree reconstructed using paternity assignment analysis); ABLUP-FS-AD: the FS pedigree-based individual tree model (using the additive and dominance matrices \({A}_{A}\) and \({A}_{D}\) estimated from the FS pedigree reconstructed using paternity assignment analysis); GBLUP-A: the genomic selection model (using the realized additive genomic relationship matrix \({G}_{A}\) estimated from SNPs); GBLUP-AD: the genomic selection model (using the realized additive and dominance genomic relationship matrices \({G}_{A}\) and \({G}_{D}\) estimated from SNPs); GBLUP-ADI: the genomic selection model (using the realized additive, dominance and imprinting genomic relationship matrices \({G}_{A}\), \({G}_{D}\) and \({G}_{I}\) estimated from SNPs); GBLUP-ADIE: the genomic selection model (using the realized additive, dominance, imprinting and additive-by-additive epistatic genomic relationship matrices \({G}_{A}\), \({G}_{D}\), \({G}_{I}\) and \({G}_{E}\) estimated from SNPs); NA: not available due to due to failure of the model to reach convergence

ISSN: 1471-2164