Alternative methods improve the accuracy of genomic prediction using information from a causal point mutation in a dairy sheep model

Table 4 Description of the Lacaune dairy sheep dataset used for genetic evaluation

Trait	Mean ± SD	Number of
Trait	Mean ± SD	Ewes	Lactations^a	Individuals in the pedigree file	Rams in the validation population^b
MY (L)	292.91 ± 85.46	1,503,148	3,575,614	1,651,901	264
FY (g)	213.14 ± 51.56	1,124,636	1,841,351	1,336,060	263
PY (g)	169.72 ± 39.33
FC (g/L)	66.54 ± 8.51
PC (g/L)	52.89 ± 4.63
LSCS	3.12 ± 1.56	769,929	1,321,411	1,031,375	263
TA	7.15 ± 1.06	349,134	349,134	349,134	250
UC	5.04 ± 1.26	349,132	349,132	653,908	249
UD	6.42 ± 0.70	349,132	349,132	653,907	253

Abbreviations MY Milk Yield, FY Fat Yield, PY Protein Yield, FC Fat Content, PC Protein Content, LSCS Somatic Cell Score, TA Teat Angle, UC Udder Cleft, UD Udder Depth
^aMY, FY, PY, FC, PC and LSCS were measured during the first three lactations (lactation average); TA, UC, and UD were measured once during the first lactation
^bRams born in 2015 with Estimated Breeding Values (EBVs) and reference performances, i.e. Daughter Yield Deviation (DYD)

ISSN: 1471-2164