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Table 5 Intercept (INT) and regression coefficient (REG) of DRP on genomic predictions using different methods

From: Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population

Trait

GBLUPAG*

Singleori

Singleadj

INT

REG

INT

REG

INT

REG

Milk

1.445

0.961

1.225

0.963

0.843

0.975

Fat

2.377

0.913

2.136

0.910

1.752

0.932

Protein

3.169

0.884

2.967

0.877

2.441

0.898

Growth

−0.246

1.084

−0.133

1.093

−0.103

1.095

Fertility

1.586

1.034

1.633

1.023

1.917

1.044

Birth index

0.705

0.927

0.608

1.054

0.583

1.057

Calving index

0.819

1.061

0.439

1.009

0.520

1.019

Mastitis

0.281

0.947

0.206

0.954

0.246

0.958

Health

0.579

1.176

0.677

1.138

0.793

1.148

Body conf.

0.961

0.896

0.652

0.913

0.605

0.918

Feet & Leg

1.283

1.056

1.058

1.028

1.051

1.030

Udder conf.

2.701

0.926

2.144

0.934

2.114

0.935

Milkingspeed

1.572

0.887

1.371

0.858

1.355

0.861

Temperament

2.578

0.752

1.816

0.757

1.795

0.760

Longevity

2.164

0.940

1.531

0.963

1.384

0.969

Yield

3.273

0.887

3.079

0.878

2.524

0.902

Mean Dev.1

1.609

0.093

1.355

0.084

1.252

0.080

  1. Adjusted GBLUP with a polygenic effect with a weight of 0.2 (GBLUPAG*), original single-step blending (Singleori) and adjusted single-step blending (Singleadj) with weight a weight of 0.2; 1Mean of absolute deviation from 1 for regression coefficient and from 0 for intercept.