MIDAS, a bioeconomic model of a dryland farm system

Cover of: MIDAS, a bioeconomic model of a dryland farm system |

Published by Pudoc in Wageningen, Netherlands .

Written in English

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Subjects:

  • Dry farming -- Western Australia -- Mathematical models.,
  • Irrigation -- Western Australia -- Mathematical models.,
  • Arid regions agriculture -- Australia -- Western Australia -- Mathematical models.

Edition Notes

Book details

Other titlesModel of an integrated dryland agricultural system., Bioeconomic model of a dryland farm system.
StatementR.S. Kingwell and D.J. Pannell (eds.)
SeriesSimulation monographs
ContributionsKingwell, Ross., Pannell, D. J.
The Physical Object
Pagination207 p. :
Number of Pages207
ID Numbers
Open LibraryOL19835663M
ISBN 109022009130

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This book deals with MIDAS (Model of an Integrated Dryland Agricultural System), a whole-farm mathematical programming model of the agricultural system of Western Australia's eastern wheatbelt.

MIDAS is the result of interdiscriplinary research and cooperation over a period of years. Participants have included agricultural economists, agronomists, soil scientists, animal.

Get this from a library. MIDAS, a bioeconomic model of a dryland farm system. [R S Kingwell; D J Pannell;] -- Deals with MIDAS (Model of an Integrated Dryland Agricultural System), a whole-farm mathematical programming model of the agricultural system of.

MIDAS--Model of an Integrated Dryland Agricultural System: MIDAS, A Bioeconomic Model of a Dryland Farm System. R.S. Kingvell and D.J. Panell (Editors). Pudoc, Wageningen, The Netherlands, 图书Midas, a Bioeconomic Model of a Dryland Farm System/Pdc 介绍、书评、论坛及推荐.

This book describes a whole-farm bioeconomic model (MIDAS). It is a bioeconomic model of a dryland farm system book mathematical programming model of a rainfed mixed enterprise farm in south-western Australia. The model is a multi-disciplinary. Read the latest articles of Agricultural Systems atElsevier’s leading platform of peer-reviewed scholarly literature.

Farming Systems Analysis (FSA) should lead to insight in the functioning of farming systems and help to develop various alternative scenarios for development. New as weil as old developments in research technologies and farm dynamics are used to improve FSA.

This book describes a whole-farm bioeconomic model (MIDAS). It is a mathematical programming model of a rainfed mixed enterprise farm in south-western Australia.

The model is a multi-disciplinary. On-farm activities that reduce GHG emissions or sequester carbon from the atmosphere to compensate for anthropogenic emissions are currently being evaluated by the Australian Government as carbon offset opportunities.

The aim of this study was to examine the implications of establishing and grazing Kikuyu pastures, integrated as part of a mixed Merino sheep and cropping system. Whole-farm models of various types provide a vehicle for better understanding these issues and decisions.

In Western Australia a particular whole-farm model, MIDAS (Model of an Integrated Dryland Agricultural System), has been an influential tool for research prioritization, extension, education and other uses for over a decade.

A comprehensive, nonmathematical guide to the practical application of linear programming models—for students and professionals in any field From finding the least-cost method for manufacturing a given product to determining the most profitable use for a given resource, there are countless practical applications for linear programming models.

The MIDAS (Model of an Integrated Dryland Agricultural Systems) bioeconomic model was used to predict the change in farm profit and enterprise mix from incorporating lucerne, chicory or perennial grasses in the phased pasture-crop rotation of a typical farm located in the mm rainfall zone in southern NSW, as part of the EverCrop® project within the Future Farm.

Abstract. The emphasis of this chapter is on the integration of physical, production, financial, and social issues into farm management plans. The process needs to include the comparison of long-term costs and benefits of the various alternatives available, and the determination of the economic viability of the farm.

The winner of numerous academic awards, he is the coeditor of MIDAS, A Bioeconomic Model of a Dryland Farm Table of Contents Graphical Solution of Linear : $ Discover Book Depository's huge selection of Backhuys Publishers books online.

Free delivery worldwide on over 20 million titles. We use cookies to give you the best possible experience. Midas - a Bioeconomic Model of a Dryland Farm System. Et. The economics of altering rotations to delay the development of resistance to herbicides was investigated using a whole-farm, bioeconomic model called MIDAS.

The model represents the dryland farming system in the eastern wheatbelt of Western Australia. The profitability of various cereal-pasture-lupin rotations was compared to those currently optimal in the farming system.

Kingwell RS, Pannell DJ (Eds) () ‘MIDAS, a bioeconomic model of a dryland farm system.’ (Pudoc: Wageningen, The Netherlands) Kingwell RS, Morrison DA, Bathgate AB () The effects of climatic risk on dryland farm management.

With whole-farm models, it is usually hard to know how representative the models are of reality. No rigorous validation procedure seems to have been proposed. There has always been a dilemma between descriptive power and tractability.

The outcome has been to resort to a confused mix of expert opinion and normative attitude. Discrepancies between model output.

This study assesses the role and value of eastern star clover in managing herbicide-resistant weeds on various farms. The study employs the farming system model known as MIDAS, a whole-farm, bioeconomic model. Key scenarios of different degrees of severity of herbicide resistance for three farm types are examined.

Modelling whole farm systems increased as a research method. Notable was the biophysical and economic optimising model of a crop and livestock farm (MIDAS) developed in the Western Australia Department of Agriculture, led by Pannell, Kingwell and .

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