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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.