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Multiple Criteria Decision Making Approach for Evaluating Management Options: A Case of New Zealand Dairy Farming

R. Singh, Arun Kumar, Debbie Care

Current Journal of Applied Science and Technology · pp. 9–26 · Published 8 Oct 2014

10.9734/BJAST/2015/13562

Abstract

The continuous evolvement of dairy industry in countries like New Zealand, with increased dairy conversions and intensification, has resulted in remarkable economic development, though at the cost of environmental degradation. The increasing use of nitrogen fertilizers to sustain increasing number of cows has increased the risk of enhanced nitrate leaching and methane and nitrous oxide emissions. In this study, Compromise Programming (CP) and Weighted Goal Programming (WGP) have been applied to a Waikato dairy farm to reconcile economic goals with environmental and resources management goals. The models are based on Tier 2 methodology, developed specifically for New Zealand, for determining the energy requirements of cattle. The models are first applied with the current farm management practices to analyse the performance of the farm in meeting the two specific objectives of: (i) Attaining the production target of 1320kg MS ha-1 year-1, set by the farm management for maximizing profit and (ii) Keeping the nitrogen leaching limit to 26kg N ha-1 year-1, as calculated by the agricultural management model OVERSEER nutrient budget. Model results show that with the existing management practices, it is not possible to meet the MS production and nitrogen leaching targets simultaneously. The production target of 1320kg MS ha-1 year-1 results in nitrogen leaching loss of 29kg N ha-1 year-1 whereas the nitrogen leaching target limits the production to 1195kg MS ha-1 year-1. The results further shows that by keeping the number of cows calving in autumn within 150–200, and by putting an optimum area under the maize crop, it is possible to meet the twin objectives of minimizing the nitrogen leaching and maximizing the profit margins, though the production target has to be lowered significantly.

Dairy farming multiple criteria decision making Nitrogen leaching tier 2 methodology waikato

References (31)

  1. 1 European journal of operational research [DOI]
  2. 2 Multiobjective Programming and Planning [DOI]
  3. 3 Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends [DOI]
  4. 4 Nitrate leaching in temperate agroecosystems: sources, factors and mitigating strategies [DOI]
  5. 5 Goal programming for decision making: An overview of the current state-of-the-art [DOI]
  6. 6 Nutrient Requirements of Domesticated Ruminants [DOI]
  7. 7 Multiple Criteria Analysis for Agricultural Decisions [DOI]
  8. 8 Multi-objective optimization and design of farming systems [DOI]
  9. 9 How does research address the design of innovative agricultural production systems at the farm level? A review [DOI]
  10. 10 SIMSDAIRY: A modelling framework to identify sustainable dairy farms in the UK. Framework description and test for organic systems and N fertiliser optimisation [DOI]
  11. 11 Description and evaluation of the Farmax Dairy Pro decision support model [DOI]
  12. 12 Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance [DOI]
  13. 13 Evaluation of a Whole-Farm Model for Pasture-Based Dairy Systems [DOI]
  14. 14 Modelling a nationwide crop planning problem using a multiple criteria decision making tool [DOI]
  15. 15 The application of the MCDM paradigm to the management of agricultural systems: Some basic considerations [DOI]
  16. 16 Bio-economic evaluation of dairy farm management scenarios using integrated simulation and multiple-criteria models [DOI]
  17. 17 Maize silage for dairy cows [DOI]
  18. 18 Optimization of livestock feed blend by use of goal programming [DOI]
  19. 19 Application of multiple criteria decision making methods to farm planning: A case study [DOI]
  20. 20 A multiple criteria decision making framework for regional aquaculture development [DOI]
  21. 21 Conserving natural resources in olive orchards on sloping land: Alternative goal programming approaches towards effective design of cross-compliance and agri-environmental measures [DOI]
  22. 22 Efficient resource management in dairy farming on sandy soil [DOI]
  23. 23 Nitrogen balances and losses on intensive dairy farms [DOI]
  24. 24 Improving Estimates of Nitrate Leaching for Quantifying New Zealand’s Indirect Nitrous Oxide Emissions [DOI]
  25. 25 Optimized Dairy Grazing Systems in the Northeast United States and New Zealand. I. Model Description and Evaluation [DOI]
  26. 26 A mathematical approach to comparing environmental and economic goals in dairy farming: Identifying strategic development options [DOI]
  27. 27 Multiobjective optimization subject to uncertainty: Application to irrigation strategy management [DOI]
  28. 28 Modeling Small-Scale Dairy Farms in Central Mexico Using Multi-Criteria Programming [DOI]
  29. 29 Driving innovation: Application of Linear Programming to improving farm systems [DOI]
  30. 30 Multiple criteria analysis for agricultural decisions [DOI]
  31. 31 Milk, money, muck and metrics: inefficient resource allocation by New Zealand dairy farmers [DOI]

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