Stochastic efficiency optimisation of alternative agricultural water use strategies

Grové, Bennie

doi:10.1080/03031853.2006.9523755

Cited by 11 publications

(16 citation statements)

References 5 publications

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“…Comparing the SERF efficiency frontiers of alternative scenarios yield the utilityweighted risk premium that a decision-maker needs to be compensated for when moving from the preferred alternative to a less preferred alternative. Absolute risk-aversion coefficients were chosen to correspond to maximum plausible levels of risk aversion as determined by Grové (2008). The result showed that deficit irrigation is stochastically more efficient than full irrigation under limited water-supply conditions due to the larger areas irrigated.…”

Section: Intra-seasonal Modelsmentioning

confidence: 99%

“…The modified SAPWAT model was used to simulate water use and crop-yield indices of 1 296 different irrigation schedules for 3 different states of nature included in the SAPWAT weather database. The crop-yield indices were combined with subjectively elicited crop-yield distributions to characterise the crop yield associated with different irrigation technologies (see Grové, 2008 for details). The generated data were used in an optimisation model to optimally allocate water between 3 crops.…”

Section: Intra-seasonal Modelsmentioning

confidence: 99%

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Review of whole-farm economic modelling for irrigation farming

Grové¹

2011

WSA

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The main objective of this paper is to review the progress that has been made in South Africa with respect to whole-farm economic modelling over the past 2 decades. Farming systems are complex and careful consideration to the stochastic dynamic nature of irrigation farming processes and their linkages with the larger water system is necessary when conducting whole-farm modelling. Both simulation and optimisation approaches to whole-farm modelling have been developed. Simulation is able to realistically model key performance indicators for decision-making while taking cognisance of the stochastic dynamic nature of irrigation agriculture. Normally only a few predefined scenarios are considered and these do not include decisions regarding allocation of water between competing farm uses of water. Optimisation models take the opportunity cost of water into account while optimising water use between multiple crops. Simplifications of the soil-cropwater subsystem are necessary to optimise agricultural water use between activities which are differentiated by crop, irrigation technology and soil at whole-farm level. Appropriate use of crop simulation models to provide input for mathematical programming models holds promise but needs to be weighed against the extra time needed to validate models and generate the required information. Research is necessary to determine the value of considering water as a stock resource compared to a situation where water use is optimised without considering water as a stock resource. Optimisation results indicated that it is profitable to irrigate larger areas with water saved from deficit irrigation and increasing irrigation efficiency. Relatively little research was done to demonstrate the externalities caused by irrigation farming under the current water policy. Future research should focus on developing integrated hydro-economic modelling frameworks that will incorporate irrigation externalities. Modelling decision-making by means of a single-attribute utility function is unsatisfactory and more research is necessary to improve understanding of the decision-making process to enhance whole-farm modelling frameworks that will assist farmers in making tactical decisions.

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Section: Intra-seasonal Modelsmentioning

confidence: 99%

Section: Intra-seasonal Modelsmentioning

confidence: 99%

Review of whole-farm economic modelling for irrigation farming

Grové¹

2011

WSA

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“…It is easy to use the model because it is supplied with weather data and a unique set of crop parameters specific to South Africa. 17 In addition, the crop varieties database in SAPWAT is extensive and it has provision for tree and deciduous crops which is not common in other models. SAPWAT uses the Koppen climate system 18 for calculating crop coefficients and will therefore make it widely acceptable 14 .…”

Section: Sapwatmentioning

confidence: 99%

“…SWB is a crop growth simulation model that was specifically developed to improve real-time irrigation scheduling. 17 SWB adoption has been relatively slow and the user base is still very small because it is cumbersome to set up the model and to simulate predefined irrigation schedules.…”

Section: Impact Of Climate Change On Crop Water Requirementmentioning

confidence: 99%

simulation study on the effect of climate change on crop water use and chill unit accumulation

Ogundeji¹,

Jordaan²

2017

S. Afr. J. Sci.

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Climate change and its impact on already scarce water resources are of global importance, but even more so for water scarce countries. Apart from the effect of climate change on water supply, the chill unit requirement of deciduous fruit crops is also expected to be affected. Although research on crop water use has been undertaken, researchers have not taken the future climate into consideration. They also have focused on increasing temperatures but failed to relate temperature to chill unit accumulation, especially in South Africa. With a view of helping farmers to adapt to climate change, in this study we provide information that will assist farmers in their decision-making process for adaptation and in the selection of appropriate cultivars of deciduous fruits. Crop water use and chill unit requirements are modelled for the present and future climate. Results show that, irrespective of the irrigation system employed, climate change has led to increases in crop water use. Water use with the drip irrigation system was lower than with sprinkler irrigation as a result of efficiency differences in the irrigation technologies. It was also confirmed that the accumulated chill units will decrease in the future as a consequence of climate change. In order to remain in production, farmers need to adapt to climate change stress by putting in place water resources and crop management plans. Thus, producers must be furnished with a variety of adaptation or management strategies to overcome the impact of climate change.

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“…The inclusion of risk in decision models under deficit irrigation has been proposed by some authors such as Grové (2006) who used efficient deficit irrigation schedules based on certainty equivalence assuming an exponential utility function, and Upendram et al (2015) who analysed a series of simulations of irrigated crop production in the Kansas High plains aquifer to identify the risk-efficient conditions. Both papers conclude that models on irrigation decision making should include risk into the objectives of the farmer.…”

Section: Introductionmentioning

confidence: 99%

Farmer’s subjective elicited water response function for intensive olives and compromise programming method for irrigation supply decision

Berbel¹,

Gutiérrez‐Martín²

2015

EARN

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This research analyses the subjective crop yield-water relationship and proposes a method to determine water supply in irrigated olives. The probability density for water response functions (PDF) is elicited from a series of interviews carried out on a wide group of farmers. The elicitation technique is based upon the triangular distribution (highest possible, most frequent and lowest possible) and estimates of yield related to water supply (low, 'normal' and full irrigation). The model presented illustrates the possibility of implementing simple decision models to support farmers to manage water considering the objectives of maximizing profit and minimizing risk.

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Stochastic efficiency optimisation of alternative agricultural water use strategies

Cited by 11 publications

References 5 publications

Review of whole-farm economic modelling for irrigation farming

Review of whole-farm economic modelling for irrigation farming

simulation study on the effect of climate change on crop water use and chill unit accumulation

Farmer’s subjective elicited water response function for intensive olives and compromise programming method for irrigation supply decision

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