Page 64 - SAPPO Boardpack l 13 May 2020

Comparison with international systems
Comparison with international systems

Dr Grant Walling provided the study group with a number of prediction
Dr Grant Walling provided the study group with a number of prediction

equations of some European countries that can be used to calculate lean
equations of some European countries that can be used to calculate lean

percentage.
percentage.
• Belgium (4) – Lean Meat % = 70.3787 – 0.8699 * Fat + 0.0801 * Muscle

• Belgium (4) – Lean Meat % = 70.3787 – 0.8699 * Fat + 0.0801 * Muscle
• Ireland (2) – Lean Meat % = 62.8971 – 0.6995 * Fat + 0.0910 * Muscle
• Ireland (2) – Lean Meat % = 62.8971 – 0.6995 * Fat + 0.0910 * Muscle

• Ireland (7) – Lean Meat % = 63.7224 – 0.7537 * Fat + 0.0921 * Muscle
• Ireland (7) – Lean Meat % = 63.7224 – 0.7537 * Fat + 0.0921 * Muscle

• Netherlands (7) – Lean Meat % = 60.85 – 0.745 * Fat + 0.133 * Muscle
• Netherlands (7) – Lean Meat % = 60.85 – 0.745 * Fat + 0.133 * Muscle

• South Africa (PORCUS) – Lean Meat % = 72.5114 – 0.4618 * Fat + 0.0547 *
• South Africa (PORCUS) – Lean Meat % = 72.5114 – 0.4618 * Fat + 0.0547 *

Muscle
Muscle

Theoretical values of six carcasses were used to compare the outcomes of the
Theoretical values of six carcasses were used to compare the outcomes of the

new proposed SAFRIC, the old PORCUS and that of Ireland, Belgium and the
new proposed SAFRIC, the old PORCUS and that of Ireland, Belgium and the
Netherlands. Let us number them from 1 to 6 and choose fat thickness and

Netherlands. Let us number them from 1 to 6 and choose fat thickness and
muscle diameter values for them:
muscle diameter values for them:

No. P2 (mm) Muscle (mm)
Muscle (mm)
P2 (mm)
No.
1 13 70
70
13
1
18
2
60
2 18 60
24
3
55
3 24 55
4
50
30
30
50
4
5 35 45
5
45
35
40
6
26
6 40 26

These values can then be used to calculate predicted lean% for each carcass
These values can then be used to calculate predicted lean% for each carcass

using the different prediction equations, including the new SAFRIC formula:
using the different prediction equations, including the new SAFRIC formula:

Percentage Lean and predicted class:
Percentage Lean and predicted class:

SAFRIC PORCUS Belgium Ireland Ireland(2) Ireland(7) Netherlands
SAFRIC PORCUS Belgium Ireland Ireland(2) Ireland(7) Netherlands
60
60
70
65
60
60
62
1 1 62 S S 70 P P 65 S S 60 S S 60 S S 60 S S 60 S S
E E
E E
E E
67
S S
60
56
57
55
56
56
2 2 57 A A 67 R R 60 U U 56 U U 56 U U 56 E E 55 U U
50
54
52
U U
3 3
51
C
64
F F
51
51
4 4 52 R R 64 C 54 R R 51 R R 51 R R 51 R R 50 R R
45
46
46
46
S S
48
61
47
46
45
46
61
47
46
48
5 5 42 I I 59 S S 44 O 43 O 43 O O 41 O O 41 O O
O
41
41
42
43
44
43
59
O
55
35
36
38
6 6 37 C 55 S S 38 P P 37 P P 37 P P 36 P P 35 P P
37
37
C
37

It is clear that the old PORCUS classification is not in line with the SEUROP
It is clear that the old PORCUS classification is not in line with the SEUROP

classification and that SAFRIC fits well into international values.
classification and that SAFRIC fits well into international values.

64