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Economic optimization of a growth trajectory for broilers
Year:
1988
Authors :
Hurvitz, Shmuel (Animal science)
;
.
Talpaz, Hovav
;
.
Volume :
70
Co-Authors:
Talpaz, H., Agricultural Research Organization, The Volcani Center, Bet Dagan, Israel, Texas A M University, United States
Hurwitz, S., Agricultural Research Organization, The Volcani Center, Bet Dagan, Israel, Texas A M University, United States
Facilitators :
From page:
382
To page:
390
(
Total pages:
9
)
Abstract:
A dynamic model was constructed to select the economically optimal growth trajectory of broilers and compute the feeding schedule designed to satisfy the nutritional requirements along this trajectory. Alterations in the normal growth rate s are possible by utilization of the phenomenon of compensatory growth which follows a period offeed restriction. The optimal trajectory is solved for by a reduced-gradient nonlinear programming algorithm. The model calculates the daily optimal growth rates along with the corresponding requirements of total protein, amino acids, and energy in obtaining the optimal diets. A substantial increase in profits can be achieved by following this methodology. © 1988 American Agricultural Economics Association.
Note:
Related Files :
Dynamic optimal trajectory
Gompertz curve
Least-cost diets
Reduced-gradient algorithm
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Related Content
More details
DOI :
10.2307/1242079
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
23112
Last updated date:
21/08/2022 07:45
Creation date:
16/04/2018 23:56
Scientific Publication
Economic optimization of a growth trajectory for broilers
70
Talpaz, H., Agricultural Research Organization, The Volcani Center, Bet Dagan, Israel, Texas A M University, United States
Hurwitz, S., Agricultural Research Organization, The Volcani Center, Bet Dagan, Israel, Texas A M University, United States
Economic optimization of a growth trajectory for broilers
A dynamic model was constructed to select the economically optimal growth trajectory of broilers and compute the feeding schedule designed to satisfy the nutritional requirements along this trajectory. Alterations in the normal growth rate s are possible by utilization of the phenomenon of compensatory growth which follows a period offeed restriction. The optimal trajectory is solved for by a reduced-gradient nonlinear programming algorithm. The model calculates the daily optimal growth rates along with the corresponding requirements of total protein, amino acids, and energy in obtaining the optimal diets. A substantial increase in profits can be achieved by following this methodology. © 1988 American Agricultural Economics Association.
Scientific Publication
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