Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix

Table 1 Descriptive statistics ¹ for the PTA dataset used, for each medoid and for the whole dataset

Trait ²	h ²	Medoid 1 n = 1004	Medoid 2 n = 1069	Medoid 3 n = 1168	Medoid 4 n = 1104	All n = 4865
MY	0.30	712.9^(0.896)	584.4^(0.897)	556.3^(0.902)	544.3^(0.887)	592.2^(0.896)
FP	0.50	0.893^(0.896)	−1.837^(0.897)	1.197^(0.902)	0.606^(0.887)	−0.014^(0.896)
PP	0.50	1.161^(0.896)	0.733^(0.897)	0.979^(0.902)	1.109^(0.887)	1.185^(0.896)
DC	0.09	7.493^(0.806)	8.046^(0.794)	8.141^(0.793)	7.933^(0.782)	7.938^(0.793)
MC	0.06	8.622^(0.742)	8.823^(0.731)	8.610^(0.731)	8.708^(0.716)	8.682^(0.730)
BD	0.37	−0.129^(0.883)	−0.173^(0.880)	−0.029^(0.881)	0.079^(0.874)	−0.057^(0.879)
RW	0.26	−0.451^(0.882)	−0.020^(0.881)	−0.054^(0.881)	−0.006^(0.877)	−0.118^(0.880)
ST	0.42	−0.101^(0.887)	−0.096^(0.887)	−0.205^(0.890)	0.223^(0.887)	−0.062^(0.888)
SR	0.31	−0.207^(0.882)	−0.066^(0.880)	−0.047^(0.880)	0.001^(0.876)	−0.073^(0.880)

¹Descriptive statistics are the mean and standard deviation; ²traits were milk yield (MY), fat percentage (FP), protein percentage (PP), direct calving ease (DC), maternal calving ease (MC), body depth (BD), rump width (RW), stature (ST), and strength (SR).

ISSN: 1297-9686