Agriculture Reference
In-Depth Information
2000
1800
y
= 1.000
x
+ 0.4
R
2
= 0.99
1600
1400
1200
1000
800
600
400
200
0
0
500
1000
1500
2000
Observed body weight (kg)
Fig. 14.7.
Predicted vs observed body weight of pullets fed a balanced diet for 126 days using AvinespModel.
Root mean square prediction error (%) = 0.72; error in central tendency (ECT) =
8;
error due to regression
(ER) = 35.06; error due to disturbances (ED) = 56.14. Regression line (
); line of equality (
).
Equality line has intercept = 0 and slope =
1.
9000
8000
y
= 1.046
x
+ 53.655
R
2
= 0.99
7000
6000
5000
4000
3000
2000
1000
0
0
1000
2000
3000
4000
5000
6000
7000
8000
−
1000
Observed accumulated feed intake (kg)
Fig. 14.8.
Predicted vs observed accumulated feed intake of pullets fed a balanced diet for 126 days using
AvinespModel. Root mean square prediction error (%) = 1.99; error in central tendency (ECT) = 13.01; error
due to regression (ER) =
28;
error due to disturbances (ED) =
57.
Regression line (
); line of equality (
).
Equality line has intercept = 0 and slope =
1.
when broilers were fed different dietary ly-
sine levels. The estimated values, in addition
to simulating a response similar to the ob-
served, are within the range of one standard
deviation. This allows for a greater degree of
confidence in the model, and supports the
underlying theory of growth and feed intake
regulation, especially when protein and/or
an amino acid are the first-limiting nutrients,
as is often the case in the growing poultry.
