Cropcheck: Farmer benchmarking participatory model to improve productivity

In the 1970s in southern NSW, Australia, information was delivered to farmers through the transfer of technology (TOT) model. It was ‘top down’ with knowledge generated by researchers being passed onto farmers by extension officers. Farmers’ knowledge was not respected by research and extension workers. In contrast Cropcheck is a farmer participatory program which benchmarks farmer crops to identify practices for lifting yields. With TOT there was good adoption of single factor technologies such as wheat varieties but by the late 1970s to early 1980s wheat yields were stagnant or only slowly improving. There was the realisation that farmers had valuable knowledge and that multiple factors were needed to increase productivity. To address these needs in developing countries many farmer participatory models were developed. This paper, based on my experiences as an extension officer, records development in a developed country of a farmer participatory crop benchmarking model called Cropcheck. This program benchmarks farmer crops to identify the checks (best practices) related to high yields. It has been successful in lifting crop yields and profitability. This paper discusses the development of the model for irrigated wheat, i.e. the Finley Five Tonne Irrigated Wheat Club (referred to hereafter as “Wheat Club”) and adaption of the model for irrigated subterranean clover pasture, i.e. Subcheck. Since farmer participatory extension theory was undeveloped at that time, the development of the model was an intuitive learning process. The process was a planning, action and review cycle. Several years involving crop monitoring, farmer training, crop recording and reviewing results were needed to identify the objective checks consistently improving yields and gross margins. The results showed the more checks adopted the higher the yield and profitability. Farmers were trained in the learning steps of observing, monitoring, measuring, interpreting and recording their own crop practices. Farmer discussion groups were important for communication. Cropcheck has high farmer credibility because the checks are identified from farmer crops. Over a period of 6 years, yields of the “Wheat Club” increased by 50%. With Subcheck the problem of reddened subclover and inconsistent production disappeared. The Cropcheck model has been adapted for many crops in eastern Australia. Precision agriculture and electromagnetic mapping and geographic information systems (GIS) have followed on as new technology and monitoring tools for farmers but it is still important to ground truth these technologies with crop monitoring.     

Technical and economic criteria in agricultural production: A case for a systems approach to farm decision-making in the Pakistan Punjab

This paper defines the criteria of ‘technical’ and ‘economic’ efficiencies. The relationship between these criteria is identified, and its implications are discussed. These two sets of criteria do diverge, with ramifications both at the farm and the national levels. An illustration of their relationship at the farm level is provided by examining the nature of water allocation to crops in the Punjab of Pakistan. The divergences that exist between ‘technical’ and ‘economic’ efficiencies at both farm and national levels are highlighted by considering the process of mechanisation in the Punjab in some detail. Finally, it is pointed out how a ‘systems approach’ can accomodate both the technical and economic criteria and their interaction.     

A participatory approach for integrating risk assessment into rural decision-making: A case study in Santa Catarina,Brazil

Incomplete information is one of the main constraints for decision-making, which are then by definition risky. In this study, formal risk concepts were introduced in decision-makers’ meetings according to local demands and following a participatory approach, as a first step towards integrating risk assessment into rural decision-making in Santa Catarina, Brazil. Semi-structured interviews and meetings were conducted with extensionists and farmers. The following information was presented and discussed: (1) the time series and frequency distribution of maize yield predictions, simulated by the GAPS computer program for 16 feasible planting dates, representing climatic risks, both within and between years; and (2) a simple economic analysis (gross margin) and income probabilities for seven land-use options over a recent five-year period, followed by an interactive exercise where probabilities of achieving user-supplied target gross margins were calculated according to participants’ actual information, using the computer program @RISK. This paper also investigates decision-makers’ attitudes towards risk, and how these were influenced by objective information. Although results from a study such as this are not definitive, considering that the effects of the information on actual decision-making require some time to become evident, it was already possible to conclude that the risk-orientated information presented according to local demands and following a participatory approach had a positive impact on decision-makers’ understanding and perceptions. This approach should be further explored to effectively integrate risk assessment into rural decision-making.     

SPFC: a tool to improve water management and hay production in the Crau region

This article deals with the development and application of SPFC, a model used to improve water and grassland production (HC) in this region of France. This model is composed of two sub-models: an irrigation model and a crop model. As the fields are border-irrigated, these two sub-models are coupled. The crop model simulates dry matter (DM), leaf area index (LAI) and soil water reserve (SWR) variations. LAI and SWR are both used for border model updating: SWR for the deficit of saturation required by the infiltration equation and LAI for the roughness coefficient n. After calibration and validation, SPFC is then used to identify realistic management strategies for the irrigation and production system at the plot level. By scheduling irrigation when SWR is 50% depleted, would result in a low Dry Matter DM production loss (around 10%), reduced labour (eight irrigation events instead of 11) and in significant water saving compared with farmers’ practices, on the basis of an average climatic scenario. Furthermore, this improvement of irrigation efficiency is not incompatible with groundwater recharge used for the potable water supply of the region.     

Linking icon-based models to code-based models: a case study with the agricultural production systems simulator

The traditional code-based modelling approach in agriculture and ecology has many strengths, particularly in terms of model flexibility, efficiency and power. Nonetheless code-based programming is a specialist skill and a barrier to simulation modelling to most scientists and students. Icon-based modelling systems on the other hand are easy to use and learn and have opened up simulation modelling to a much broader group of researchers. However there are limitations to the flexibility of these modelling systems and sometimes the size and complexity of models that can be constructed in them.One approach by which researchers can gain the best of both types of models is by linking icon-based models to code-based models within a modular modelling framework. By developing largely self-contained modules that communicate with other modules solely by means of defined input/output variables, modules can be developed in an easy to use icon-based modelling system and subsequently `plugged in' to a larger code-based model. In this paper, we demonstrate this approach using Vensim^TM to develop a new seed bank module for the Agricultural Production Systems Simulator (APSIM). In an example application we compare the persistence of two hypothetical annual pasture plants with differing life histories under two contrasting farming systems.This approach has the benefits of: (i) rapid and efficient model development that allows specialist scientists and programmers to focus on their respective areas of expertise; (ii) ongoing maintenance and development of modules by science specialists without need for constant recourse to programmers; (iii) ease of sharing, exchange and comparison of icon-based modules between researchers; and, (iv) ease of communication of model structure.     

An economic evaluation methodology for smallholder maize research and extension: Zimbabwe

An economic evaluation methodology is proposed for assessing the returns to research and extension activities designed to increase household maize production and financial returns to smallholders. Multiple regression and least significant difference analysis of smallholder production data are combined to estimate economic returns to research and extension activities in selected high rainfall regions in Zimbabwe. Results indicate that economic returns are substantially higher for agronomic compared to varietal research and extension.     

Development and credibility assessment of a metamodel relating water table depth to agricultural production

Phreatic groundwater pumping is affecting water availability for crops in areas with a shallow water table. This can reduce crop growth and so affect farm income. There is a need for a generic and transparent method to assess the agricultural damage caused by water table drawdown. This paper proposes such a method that consists of ‘damage tables’ relating agricultural production losses to the groundwater regime for different soil/crop combinations found in Northern Belgium. The damage tables are constructed based on numerous simulations with the agrohydrological model SWAP, in which the bottom boundary conditions are gradually changed to reflect different groundwater regimes. The credibility of the resulting metamodel is assessed in three ways: using (1) field data, (2) an existing local expert system for land suitability assessment and (3) literature applying to a wider region. Field data of actual transpiration for two grasslands do not systematically deviate from the model predictions. This provides some credibility to the claim that the model captures the processes determining evapotranspiration and agricultural production. The local expert system allows us to evaluate the range of groundwater regimes where optimal growth is expected for maize and grassland across different soil types. Diverging predictions of the optimal groundwater regime between the metamodel and the local expert system can be explained in terms of differences in assumptions underlying both models. One notable limitation of the damage tables is that only direct physiological stress is reckoned while indirect effects of wet conditions (decreased accessibility of the terrain, soil structural damage) may also limit growth on soils with a water table near the surface. Further comparison with literature data focused on two issues: the contribution of groundwater to evapotranspiration and the extinction depth, i.e., the depth at which groundwater no longer contributes to evapotranspiration. This comparison revealed that damage tables developed for our area of interest are only valid under similar climatic conditions for the following two reasons: they assume a relatively small groundwater contribution to evapotranspiration, which is typical for humid climates, and they take into account temporal variations in plant characteristics such as root depth, which is also climate dependent.     

Fresh tomato production for the Sydney market: An evaluation of options to reduce freshwater scarcity from agricultural water use

In response to the growing concerns of freshwater scarcity, two metrics are considered for assessing the impacts of consumptive water use of a kg of fresh tomato supplied to the Sydney market. The first is the water use efficiency (WUE)—commonly used by agronomists which considers the absolute volumes of water consumed, and second, a recently developed method for water footprints based on Life Cycle Assessment (LCA) which describes the impacts in terms of contributing to freshwater scarcity. The results indicated that although a kg of tomato supplied from within Sydney had the highest water use efficiency (38 L for a kg of tomato as compared to 39-78 L from other regions of Australia), it had the biggest LCA-based water footprint (16 L for a kg of tomato as compared to 1.9-2.2 L from other regions of Australia). WUE as an indicator of agriculture water use is inappropriate to indicate the potential to contribute to local freshwater scarcity; potential stress on local and regional water resources, estimated using LCA-based water footprints, provide useful dimension to assess consumptive water use. Having both metrics will enable to achieve short term benefits at the farm level for saving water (through water use efficiency), while also recognising that longer term changes are required for alleviating freshwater scarcity (through LCA-based water footprints). Scenario modelling indicated relocation of production away from Sydney or modernisation of Sydney tomato greenhouse industry as a priority for reducing freshwater scarcity. The latter may be the best long term option to reduce additional emissions from transport and to take advantage of recycled water sources from Sydney's wastewater.     

FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies

The disciplinary nature of most existing farm models as well as the issue specific orientation of most of the studies in agricultural systems research are main reasons for the limited use and re-use of bio-economic modelling for the ex-ante integrated assessment of policy decisions. The objective of this article is to present a bio-economic farm model that is generic and re-usable for different bio-physical and socio-economic contexts, facilitating the linking of micro and macro analysis or to provide detailed analysis of farming systems in a specific region. Model use is illustrated in this paper with an analysis of the impacts of the CAP reform of 2003 for arable and livestock farms in a context of market liberalization. Results from the application of the model to representative farms in Flevoland (the Netherlands) and Midi-Pyrenees (France) shows that CAP reform 2003 under market liberalization will cause substantial substitution of root crops and durum wheat by vegetables and oilseed crops. Much of the set-aside area will be put into production intensifying the existing farming systems. Abolishment of the milk quota system will cause an increase of the average herd size. The average total gross margin of farm types in Flevoland decreases while the average total gross margin of farms in Midi-Pyrenees increases. The results show that the model can simulate arable and livestock farm types of two regions different from a bio-physical and socio-economic point of view and it can deal with a variety of policy instruments. The examples show that the model can be (re-)used as a basis for future research and as a comprehensive tool for future policy analysis.     

A pasture production model for use in a whole farm simulator

Modular simulation models of crop and animal enterprises can be used in concert to simulate a particular whole farm operation and thus provide management information for individual farmers and farm advisers. This paper reports the development of a pasture module for such a whole farm simulator designed to study irrigation management in New Zealand. The model (CANPAS) describes the production of perennial ryegrass/white clover pastures under either dryland or irrigated conditions. Seasonal growth studies and the principles of ecological physiology form the theoretical base of CANPAS. Whenever possible, parts of other models were also used. With time steps of one day, CANPAS predicts the net above-ground yield of live and dead herbage, herbage digestibility, leaf area index and soil water supply. Harvested yields are also predicted for simulated grazing or cutting managements, assuming part of the above-ground yield of live and dead herbage is left as stubble. Field measurements of harvested pasture yields from the Canterbury Plains of New Zealand were used to validate the model. Validation procedure included the use of a simple set of statistical tests. The final version (CANPAS III) gave an overall r² of 0·83, but poorer performance was found under some test managements. Discussion covers the general aspects of this kind of modelling as well as the specific details of the pasture module.     

Analysing farming practices to develop a numerical,operational model of farmers’ decision-making processes: An irrigated hay cropping system in France

Conventional water management in the Crau plain needs to be modified to ensure higher irrigation efficiency, better crop production and quality, and reduced environmental impacts. Because experimental approaches to test modifications of water management are difficult in relation to border irrigation, simulation may provide an alternative. We describe the development of a conceptual model of the decision-making process that determines the irrigation management of a cropping system, on which a simulation model is to be based. Interviews focused on water management were carried out, to understand how farmers manage their irrigation and how their decisions determine the technical system applied on the farm. These interviews were then analyzed using the “model for action” concept, to generate a conceptual model of the decision system, which is organized as a sequence of decision rules describing irrigation management. This model contains five elements: (1) spatial and temporal factors relevant to decision-making in terms of irrigation and hay cropping; (2) no interaction between the grassland cropping system and the sheep rearing system; (3) five rules to describe irrigation management in the cropping system; (4) major water distribution constraints; and (5) two inter-related operations, hay mowing and irrigation. The rules for irrigation decision-making are written as: “If <Indicator><Operator><Threshold> Then <Action1> Else <Action2>”. This conceptual model was used as the basis of a decision support system that includes models of grass growth and hydrology.     

Using hierarchical systems aggregation to model the value of information in agricultural systems: An application for climate forecast information

The process of interdisciplinary research in aggregating sub-system models to model larger systems is disucussed and applied to valuing midwestern (USA) crop climate forecasts. Elements of climate forecast information schemes and characteristics of users and their environment which give rise to or restrict climate forecast information value in corn and soybean production are identified. Methods of varying these elements are applied to determine their effect on the value of climate forecast schemes.     

Subsurface drip irrigation for corn production: a review of 10 years of research in Kansas

Kansas State University initiated studies in 1989 to develop the methodology for successful application of subsurface drip irrigation (SDI) for corn production on the deep silt loam soils of the Central Great Plains, USA. Irrigation water use for corn can be reduced by 35–55% when using SDI compared with more traditional forms of irrigation in the region. Irrigation frequency has not been a critical issue when SDI is used for corn production on the deep silt loam soils of the region. A dripline spacing of 1.5 m has been found to be most economical for corn grown in 0.76 m spaced rows. Nitrogen fertigation was a very effective management tool with SDI, helping to maximize corn grain yield, while obtaining high efficiencies of nitrogen and water use. The research SDI systems have been utilized since 1989 without replacement or major degradation. SDI systems lasting 10–20 years are cost competitive for corn production with the more traditional forms of irrigation in the Great Plains for certain field sizes.Communicated by P. Thorburn     

Using a hydro-dynamic flow model to plan maintenance activities and improve irrigation water distribution: application to the Fordwah distributary in Punjab, Pakistan

In secondary canals in Pakistans Punjab, the waterdistribution depends on the hydraulic characteristicsof channels, cross-structures and tertiary outlets.Maintenance of channels and structures plays a crucialrole in upholding equitable distribution of water tothe tertiary units. In the past, maintenance has beenundertaken by irrigation managers based on experienceand observations. In the present study a hydro-dynamicmodel (SIC – Simulation of Irrigation Canals) is usedto assess a priori the impact of maintenance measureson water distribution. Maintenance measures can thusbe selected that remove existing bottlenecks in thewater distribution in the most cost-effective way. The methodology is applied to a secondary canal insouth-east Punjab. The simulation results show thatthe main cause of present inequity in waterdistribution are deviations in dimensions of tertiaryoutlets, which, if restored, would make the mosteffective contribution to improve the waterdistribution. Maintenance of the channel is necessaryif its capacity diminishes.     

Development of a system to produce maps of agricultural profit on a continental scale: An example for Australia

Policy makers in the agricultural sector are confronted with challenges which might drive land use change and ultimately agricultural profitability to a substantial degree. The challenges include questions around climate variability, demographic changes, use of land for bio-fuel production and ensuring an increase in food production. As profitability triggers many agri-business decisions, knowledge about the existing socio-economic landscape and the economic profile of a region as well as potential impacts on profits provides useful contextual information when agricultural policies are designed. Given the upcoming challenges and their associated uncertainties, it is important to ensure that a map of agricultural profit can be reproduced in a scenario and simulation setting which will allow exploring uncertainties around the impacts on agricultural profits as well. There is however currently no flexible system in operation which allows for a consistent update of a map of agricultural profits in Australia or elsewhere. This paper describes a process that has been developed to produce a map of agricultural profit for Australia for the year 2005/2006. The process involves a complex data architecture that accounts for heterogeneous information that is collected by a variety of institutions across different scales. All information can be comfortably queried and query results can be forwarded for immediate processing and subsequent visualisation in a geographic information system (GIS). To facilitate the production of profit maps in the future, the system provides flexibility regarding an update of new economic information but it can also be linked to maps that show an updated distribution of land use. A map of agricultural profit on a large scale and regular updates thereof will help understand profit trends in time and across space. It will help identifying regions that have a lower economic profile and will inform decisions regarding the design of regulatory policies. As these maps are developed using national scale data, we do not recommend using the results at the farm level but we suggest using separate catchment scale profit assessments to calibrate the national scale profit map. The proposed system is well suited to be used in various land use management and economic scenarios and will represent a step forward regarding a scenario impact assessment on agricultural profits. It will also help understand the economic benefit of land use on a large scale.     

Modeling wheat yield and crop water productivity in Iran: Implications of agricultural water management for wheat production

In most parts of Iran, water scarcity has been intensifying and posing a threat to the sustainability of agricultural production. Wheat is the dominant crop and the largest irrigation water user in Iran; hence, understanding of the crop yield-water relations in wheat across the country is essential for a sustainable production. Based on a previously calibrated hydrologic model, we modeled irrigated and rainfed wheat yield (Y) and consumptive water use (ET) with uncertainty analysis at a subbasin level in Iran. Simulated Y and ET were used to calculate crop water productivity (CWP). The model was then used to analyze the impact of several stated policies to improve the agricultural system in Iran. These included: increasing the quantity of cereal production through more efficient use of land and water resources, improving activities related to soil moisture conservation and retention, and optimizing fertilizer application. Our analysis of the ratio of water use to internal renewable water resources revealed that 23 out of 30 provinces were using more than 40% of their water resources for agriculture. Twelve provinces reached a ratio of 100% and even greater, indicating severe water scarcity and groundwater resource depletion. An analysis of Y-CWP relationship showed that one unit increase in rainfed wheat yield resulted in a lesser additional water requirement than irrigated wheat, leading to a larger improvement in CWP. The inference is that a better water management in rainfed wheat, where yield is currently small, will lead to a larger marginal return in the consumed water. An assessment of improvement in soil available water capacity (AWC) showed that 18 out of 30 provinces are more certain to save water while increasing AWC through proper soil management practices. As wheat self-sufficiency is a desired national objective, we estimated the water requirement of the year 2020 (keeping all factors except population constant) to fulfill the wheat demand. The results showed that 88% of the additional wheat production would need to be produced in the water scarce provinces. Therefore, a strategic planning in the national agricultural production and food trade to ensure sustainable water use is needed. This study lays the basis for a systematic analysis of the potentials for improving regional and national water use efficiency. The methodology used in this research, could be applied to other water scarce countries for policy impact analysis and the adoption of a sustainable agricultural strategy.     

Development of DRAIN-WARMF model to simulate flow and nitrogen transport in a tile-drained agricultural watershed in Eastern Canada

A new watershed model, DRAIN-WARMF, was developed to simulate the hydrologic processes and the nitrogen fate and transport that occur in small, predominantly subsurface-drained, agricultural watersheds that experience periodic freezing and thawing conditions. In this modeling approach, surface flow is simulated using a watershed scale model, WARMF, and subsurface flow is estimated using a field-scale model for subsurface-drained shallow water table fields, DRAINMOD 5.1. For subsurface flow calculations, the watershed is subdivided into uniform cells, and DRAINMOD is run on each cell with inputs based on the individual hydrologic characteristics of the cell. The coupling results in a distributed parameter model that calculates the total flow at the outlet of a watershed as well as the nitrogen losses. The model was evaluated for the St. Esprit watershed, located approximately 50 km northeast of Montreal. Simulations were carried out from 1994 to 1996; data from 1994 and 1995 was used for model calibration and data from 1996 was used for model validation. The new model was able to adequately simulate the hydrologic response and nitrate losses at the outlet of the watershed. Comparing the observed daily flow/monthly nitrogen with the model's outputs over the validation period returned an R² value of 0.74/0.86 and modeling efficiency of 0.72/0.83. This clearly demonstrates the model's ability to simulate hydrology and nitrogen losses occurring in small agricultural watersheds in cold climates.     

Application of simulation technique to activity-based costing of agricultural systems: a case study

The aim of this paper is to analyse the operational costs of the Pu-Shin wholesale fish market in Taiwan, using both the activity-based costing (ABC) model and the simulation technique. By using simulation results in the calculated model of ABC, allocated resource costs are more accurate and arbitrary allocation is avoided. The objective of this study is to compute the processing cost per kilogram of fish. We conclude by providing relevant and accurate information about cost management of the Pu-Shin wholesale fish market, comparing ABC with traditional costing methods, and discussing key related issues which may provide opportunities for future research. We believe that the use of the ABC model in conjunction with simulation techniques can also be applied to agricultural systems in other countries.     

Comparing rice production systems: A challenge for agronomic research and for the dissemination of knowledge-intensive farming practices

This article is a commentary on several research studies conducted on the prospects for aerobic rice production systems that aim at reducing the demand for irrigation water which in certain major rice producing areas of the world is becoming increasingly scarce. The research studies considered, as reported in published articles mainly under the aegis of the International Rice Research Institute (IRRI), have a narrow scope in that they test only 3 or 4 rice varieties under different soil moisture treatments obtained with controlled irrigation, but with other agronomic factors of production held as constant. Consequently, these studies do not permit an assessment of the interactions among agronomic factors that will be of critical significance to the performance of any production system. Varying the production factor of “water” will seriously affect also the levels of the other factors required to optimise the performance of a production system.The major weakness in the studies analysed in this article originates from not taking account of the interactions between experimental and non-experimental factors involved in the comparisons between different production systems. This applies to the experimental field design used for the research studies as well as to the subsequent statistical analyses of the results. The existence of such interactions is a serious complicating element that makes meaningful comparisons between different crop production systems difficult. Consequently, the data and conclusions drawn from such research readily become biased towards proposing standardised solutions for possible introduction to farmers through a linear technology transfer process. Yet, the variability and diversity encountered in the real-world farming environment demand more flexible solutions and approaches in the dissemination of knowledge-intensive production practices through “experiential learning” types of processes, such as those employed by farmer field schools.This article illustrates, based on expertise of the ‘system of rice intensification’ (SRI), that several cost-effective and environment-friendly agronomic solutions to reduce the demand for irrigation water, other than the asserted need for the introduction of new cultivars, are feasible. Further, these agronomic solutions can offer immediate benefits of reduced water requirements and increased net returns that would be readily accessible to a wide range of rice producers, particularly the resource poor smallholders.