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Table 6 Active and illustrative variables used to calculate the Principal Component analysis (PCA).

From: An on-farm investigation of beef suckler herds using an animal welfare index (AWI)

Active variables

Minimum score

Maximum score

Space allowance

0

2

Injurious protrusions

-0.5

0

Ease of locomotion

0

1

Grazing time

2.5

2.5

Age/group mixing

-0.5

1.5

Calving method

-0.5

1

Weaning method

-0.5

2

Type of floor

-0.5

2.5

Cleanliness of floor

0

1

Cleanliness of yard

0

1

Grassland

0.5

1

Natural light

0.5

2

Artificial light

-0.5

1.5

Side openings

0

1

Draughts

-0.5

1

Condensation

0.5

1

Noise

0.5

1

Water cleanliness

0

1

Water trough (cleanliness) outdoors

0.5

1

Feed cleanliness

0.5

1

Equipment

-0.5

1

Cleanliness of animals

-0.5

1

1Lameness

-0.5

1

Health

-0.5

1

Background

0

1

Interest of the Stockperson

0

1

Illustrative variables

Number of animals

15

1000

Total score

17

36.5

  1. The PCA show the minimum and maximum scores.
  2. 1Higher scores represent less lameness.