Genetics Selection Evolution

Table 7 Results for WssGBLUP for body weight for different weighting strategies for the SNPs

From: Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing

Iterations	1.025^a					1.125					1.25
Iterations	1	2	3	4	5	1	2	3	4	5	1	2	3	4	5
Accuracy	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39	0.39
b0	44.22	45.34	45.36	45.36	45.36	44.22	49.57	50.24	50.45	50.53	44.22	54.29	57.77	58.92	59.00
b1	0.83	0.83	0.83	0.83	0.83	0.83	0.80	0.80	0.80	0.80	0.83	0.77	0.76	0.75	0.75

^aCT values tested. CT is a constant that represents the deviation from normality in the calculation of weights for the SNP markers
b0: bias; b1: inflation
Validation are done with adjusted phenotype

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ISSN: 1297-9686

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