Agriculture Reference
In-Depth Information
5000
y
= 1.041
x
+ 38.5
R
2
=
99
4500
4000
3500
3000
2500
2000
1500
1000
500
0
0
1000
2000
3000
4000
5000
Observed body weight (kg)
Fig. 14.5.
Predicted vs observed body weight of broilers fed a balanced diet for 56 days using AvinespModel.
Root mean square prediction error (%) = 0.01; error in central tendency (ECT) = 5.68; error due to
regression (ER) = 21.06; error due to disturbances (ED) = 73.25. Regression line (
); line of equality (
).
Equality line intercept = 0 and slope =
1.
2000
1800
y
= 0.934
x
+ 35.71
R
2
=
1
1600
1400
1200
1000
800
600
400
200
0
0
500
1000
1500
2000
Observed accumulated feed intake (kg)
Fig. 14.6.
Predicted vs observed accumulated feed intake of broilers fed a balanced diet for 56 days using
AvinespModel. Root mean square prediction error (%) = 0.68; error in central tendency (ECT) = 6.21; error
due to regression (ER) = 10.11; error due to disturbances (ED) =
83.
Regression line (
); line of equality (
).
Equality line has intercept = 0 and slope =
1.
Evaluation of the model under restricted
nutritional conditions
lysine intakes, was used for comparison.
In the present study, the amino acid:protein
ratio was kept constant. Cobb male broiler
parameters (
B
= 0.047,
Pm
= 1041 g,
LPRm
=
0.80) were adopted for bird description. The
results of the comparison in
Figs 14.9
and
14.10 show that the responses estimated by
the model are similar to those observed
This simulation was carried out to evaluate
the model when levels of single amino
acids were changed in the diet. The study of
Dozier
et al
. (2010), evaluating the response
of
28-
to
42-
day-old broilers to different
