Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7062
Title: Dynamic computer models to identify the optimal system and management of population structure for self-contained meat sheep crossbreeding enterprises
Contributor(s): Askari-Hemmat, Heshmatollah (author); Kinghorn, Brian  (supervisor)
Conferred Date: 1999
Copyright Date: 1997
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/7062
Abstract: Two deterministic computer models for the choice of the crossing system possessing optimum design flock structures, for self-contained meat sheep crossbreeding enterprises were developed, using Microsoft Excel's Solver software. Both of the models use a dynamic strategy for optimization of the flock structures for a time period of 10 years. There are two breeds of sheep and up to three flocks considered in each model. Also, the initial total number of the ewes in the flocks to commence the crossing system with, is an optional input parameter which should be determined by the breeder. At any time for a given set of the input data, the computer models search all options to determine the optimal structure of the flocks under a detailed year-by-year scheme. The models predict the relevant parameters while applying the standard cash flow discounting method (optional), and propose either a rotational crossing, a terminal-rotation crossing, a single two way crossing, or a combination of these systems. Meanwhile, the flock structures, and most of the important phenotypic, genotypic and economic parameters are displayed diagrammatically for a clear understanding of the simulation modeling. ... Finally, the models allowed little variations in the flock structures from optimality. e.g., small proportions of the female lambs and/or hogget ewes could be sold with negligible effect on the optimal profitability of the proposed crossing system.
Publication Type: Thesis Masters Research
Rights Statement: Copyright 1997 - Heshmatollah Askari-Hemmat
HERDC Category Description: T1 Thesis - Masters Degree by Research
Statistics to Oct 2018: Visitors: 166
Views: 162
Downloads: 14
Appears in Collections:Thesis Masters Research

Files in This Item:
11 files
File Description SizeFormat 
open/SOURCE08.pdfThesis, part 52.17 MBAdobe PDF
Download Adobe
View/Open
open/SOURCE05.pdfThesis, part 22.53 MBAdobe PDF
Download Adobe
View/Open
open/SOURCE06.pdfThesis, part 33.58 MBAdobe PDF
Download Adobe
View/Open
open/SOURCE03.pdfAbstract833.62 kBAdobe PDF
Download Adobe
View/Open
open/SOURCE07.pdfThesis, part 44.28 MBAdobe PDF
Download Adobe
View/Open
open/SOURCE04.pdfThesis, part 12.7 MBAdobe PDF
Download Adobe
View/Open
1 2 Next
Show full item record

Page view(s)

170
checked on Mar 5, 2019

Download(s)

84
checked on Mar 5, 2019
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.