Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP using real data from pigs

Table 2 Means and SD (in brackets)^a of precorrected phenotypes of the traits used in this study after each GPS scenario

Trait/preselection scenario	Within the validation generation only		Across the entire dataset
Trait/preselection scenario	Reference^b	VGP^c/MGP^d	VGP	MGP
Sire line
ADGT (g/day)	0.26 (2.01)	1.03 (1.59)	− 0.17 (2.05)	0.77 (1.71)
ADGL (g/day)	0.07 (1.97)	0.81 (1.78)	− 0.21 (1.95)	0.61 (1.67)
Backfat thickness (mm)	− 0.32 (1.20)	− 0.35 (1.15)	− 0.02 (1.32)	− 0.13 (1.25)
Loin depth (mm)	0.34 (1.32)	0.35 (1.29)	0.23 (1.34)	0.27 (1.30)
Dam line
ADGT (g/day)	0.40 (1.87)	1.16 (1.69)	− 0.12 (1.75)	0.71 (1.60)
ADGL (g/day)	0.21 (1.84)	0.98 (1.61)	− 0.19 (1.81)	0.58 (1.62)
Backfat thickness (mm)	0.10 (1.32)	0.06 (1.28)	− 0.03 (1.43)	− 0.09 (1.41)
Loin depth (mm)	0.31 (1.42)	0.19 (1.39)	0.28 (1.39)	0.33 (1.37)

ADGT average daily gain during performance testing, ADGL ADG throughout life
^aBoth means and SD are in additive genetic SD units
^bIn the reference scenario, the subsequent ssGBLUP evaluation utilized the entire available data until the validation generation
^cValidation generation preselection (VGP) scenario, in which all animals in the validation generation without progeny in the data were discarded
^dMulti-generation preselection (MGP) scenario, in which all animals in the validation and training generations without progeny in the data were discarded

ISSN: 1297-9686