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Scaling up food security innovations in low-income rural environments has often failed to achieve substantive and lasting results. This poor performance can be attributed to dominant, linear approaches associated with spreading innovations which entail technology research and development and subsequent transfer to farmers. Such approaches tend to overlook complexity elements and non-linear processes in smallholder agriculture, including multiple stress factors such as climate variability and economic risks that make the uptake of new agricultural innovations more unpredictable. This article presents programmatic lessons from the Canadian International Food Security Research Fund (CIFSRF) on scaling up. It considers projects that: i) deployed successfully pilot-tested innovations to reach and benefit large numbers of beneficiaries; and projects that ii) used innovations as an entry point to catalyse systematic change in the food and agricultural sector. The paper also outlines several key scaling up principles that can encourage better understanding of relevant socio-ecological dynamics and complexities in intervention areas as a way to support innovations (at scale) that can contribute to more sustainable system outcomes. Finally, the paper reflects on how predominant definitions of impact at scale, centered around rather narrow indicators around economic growth and technology transfer, might consider more holistic goals that encompass integrated agricultural interventions that advance sustainable agri-food system outcomes.

Climate-smart agriculture (CSA) conceptually has the potential to contribute to the sustainable development goals of achieving zero hunger, reducing land degradation, eliminating poverty, tackling climate change, and promoting gender equality. The scaling-up needed to achieve goals of CSA represents a challenge, as it entails understanding synergies between often opposing socioeconomic and environmental priorities and trade-offs over temporal and spatial scales. In this paper, we tested new approaches to support scaling-up of sustainable food production through investigating the contribution of systems thinking as a conceptual approach and complex adaptive system (CAS) attributes as a framework for analysis of CSA. This was done through examining (i) to what extent CSA represents a CAS and (ii) what contribution systems thinking and CAS attributes can make to understanding and scaling-up sustainable food production systems through CSA. The CSA situation was conceptualized through systems thinking sessions with women farmers in the climate-smart village (CSV) of Doggoh-Jirapa, northern Ghana, and was guided by the Distinctions, Systems, Relationships and Perspectives (DSRP) framework. Systems thinking, and CAS attributes provide system-wide understanding of elements, dynamics and trade-offs over temporal and spatial scale in selected agri-food systems. As such it could aid horizontal and vertical scaling-up by informing policy developoment and selection of a context-specific portfolio of technologies and practices at landscape and farm levels to achieve synergies between goals. In this study, systems thinking enabled women farmers in the CSV to identify income-generating and tree planting activities, with desirable simultaneous system-wide impact. The paper calls for further testing of tools, approaches, and methods that enable dynamic systems thinking to inform scaling-up efforts, while embracing the transdisciplinary nature and complexity of CSA as a constituent of the food production system.

The paper investigates the impact of rainfall shocks on agricultural productivity and crop-specific agricultural land productivity. The paper also examines the impact of negative rainfall shocks on household consumption as well as its distributional impact by initial wealth and geographical zones. We use nationally representative panel datasets from Nigeria merged with georeferenced rainfall information. Negative rainfall shocks have heterogeneous effects on crop-specific agricultural productivity and based on geographical zones. We use an instrumental variables regression approach, where agricultural land productivity is instrumented with negative rainfall shocks. A negative rainfall shock decreases agricultural productivity and hence decreases household consumption by 37%. We also show considerable differential impacts of rainfall shocks on household consumption by initial values of wealth and geographical zones. Rainfall shocks have a negative, significant impact for asset-poor and nonpoor households, but has a higher impact on household consumption for asset-poor households. Similarly, it has higher impact for land-poor households and households in northern Nigeria.

This paper presents a comprehensive substance flow analysis (SFA) of phosphorus (P) for a six-year period (2008–13) in Gippsland, a key agricultural region of Australia with high economic and environmental significance. The analysis has revealed that around 71% (10,904 t) of the mean annual total inflow of P was stored in this region. This finding is different from other published regional scale SFAs, where more than 50% of the P in annual total inflow eventually left the region. Per capita P inflow in Gippsland is also found substantially higher compared to available SFAs. In Gippsland, the annual inflow of P primarily occurred as commercial fertilizer (66% or 10,263 t) and livestock feed (29% or 4443 t), and the outflow mainly occurred as livestock products (94% or 4181 t); while the majority (66% or 7218 t) of the P storage occurred in soils of the livestock farming area. A comparative analysis of the magnitude of P flow in different subsystems indicates that more than 80% of the annual total inflow, outflow, and storage of P in this region is associated with the livestock (mainly dairy and meat cattle) farming subsystem. For the Gippsland region as a whole and almost all subsystems, significant annual variations in the magnitudes of P inflow, outflow, storage and internal flow have been observed. Between 2008 and 2013, both the annual total inflow (mainly as commercial fertilizer) and the annual total storage (mainly in soils) of P in this region showed a substantial decrease (41% and 54% of the 2008 level, respectively), while the annual total outflow (mainly as livestock and crop products) remained nearly the same, indicating an improvement towards sustainable P management. Despite such a positive sign, there is still adequate room for improvement. This analysis indicates that over the study period, about 65,424 t P were accumulated (mainly as soil storage) that is approximately six times the mean annual P inflow as commercial fertilizer in this region; while approximately 3241 t P lost as soil erosion and runoff, indicating substantial adverse economic and environmental implications. Based on the findings of the current analysis, this paper outlines a wide range of policy and management interventions to reduce the downstream loss of P and other nutrients as well as the region's dependency on imported commercial fertilizers and grain based feed. This paper also presents new criteria for data quality analysis and a set of P concentration data of various materials that could be readily utilized in future SFAs of P at any geographical scale. This paper suggests that considering the inter-annual variations in P flow as assessed in this SFA, future research should focus on identifying the influence of socio-environmental, technological and political factors on the magnitude P flow in Gippsland.

CONTEXT As a direct link between farmers and manufacturers of technologies, the characteristics and activities of input suppliers can be expected to play an important role in the generation and diffusion of innovations in agricultural systems. While the agricultural innovation systems (AIS) literature recognises the importance of input suppliers, there are few studies from the Global South assessing the nature and implications of their activities. OBJECTIVE The aim of this paper is to improve the understanding of how input suppliers can influence the functioning and development of AIS in the Global South. METHODS We first adapt the ‘functions of innovation systems’ framework to examine the role of these private-sector actors in an AIS, identifying three activity categories, through which input suppliers can influence the AIS: market creation for technological innovations, the creation and dissemination of knowledge, and influence on technology priorities. We then apply the framework to a case study of the small-scale irrigation sector in Kenya. RESULTS AND CONCLUSION The case study documents the emergence of a new cohort of irrigation-equipment suppliers during the period of strong growth in the market for small-scale irrigation technologies since 2000, and examines how they affect the small-scale irrigation agricultural innovation system (SIAIS). We find that Kenyan irrigation-input suppliers perform important activities and roles in the SIAIS aside input supply, notably provision of advisory services, improvement of the supply chain for irrigation technologies, introduction and adaptations of new types of irrigation equipment, and facilitation of access to farm credit. Irrigation-input suppliers in Kenya thus play an important role in the functionality of the SIAIS, particularly regarding knowledge creation and dissemination. SIGNIFICANCE The novelty of the paper lies in its empirical assessment of input suppliers in the small-scale irrigation sector and its application of the functions framework. The paper shows that input suppliers can become effective agents of knowledge diffusion once the market has reached a sufficient size and documents how they contributed to knowledge development as they develop, adapt and test specific irrigation equipment. The paper also emphasises that input suppliers can form a key link between national AIS and foreign companies, as they bring in foreign expertise (know-how) to the market along with agricultural technologies. We therefore suggest that policy interventions in support of smallholder irrigation should seek leverage from the growth and capacities of input suppliers as a complement to public research and extension.

CONTEXT Public and private research institutions are grappling with the challenges and opportunities of embedding dimensions of responsible innovation within their research and development programs, including those seeking to transform agricultural productivity and sustainability through digital technologies. Central to meeting this challenge is building institutional, organisational and professional capacity for anticipation and reflexiveness within multidisciplinary research communities. Foresighting methodologies provide a means by which this might be usefully and practically enabled, whilst also shedding light on the broader social and ethical implications of alternative agricultural technology development pathways under uncertain environmental and industry futures. OBJECTIVE This paper presents the results of a participatory foresighting exercise undertaken as part of a large, publicly funded multi-disciplinary research initiative designed to build a common big data infrastructure to harness the benefits of the digital revolution for the Australian agricultural and land sectors. We seek to explore what role digital technology will play in the future of Australian agriculture and to consider the social and ethical implications. METHODS We ran a one-day foresighting workshop comprised of four steps – 1) horizon scanning to identify trends 2) selecting two drivers of change 3) producing a matrix to generate scenarios 4) building and refining scenarios. Participants explored different possible futures of farming in Australia, with a focus on scenarios involving socio-technical dimensions of digital agriculture to consider the implications of these futures for research practice and for farming communities. RESULTS AND CONCLUSIONS Four scenarios were developed, distinguished by the interplay of two critical but uncertain drivers of change identified by participants, namely: the degree of resource security or insecurity that future agricultural enterprises are likely to experience; and the degree to which farming sectors maintain traditional farm business models and associated value chains or transition to more diverse or innovative business models. The process highlighted the need to increase the capacity and opportunity for more reflexivity in research and development, if positive outcomes were to be achieved. SIGNIFICANCE The scenarios we produced provide a catalyst for conversation about the implications of digital technology development in Australia and globally, for industry, policy and research and development. In particular, the scenarios highlight potential changes in farm business models, decision making, and beneficiaries and inequities of new technologies and other components of food value chains. The paper also serves as a guide and prompt for others, by demonstrating one way reflexivity can be achieved in organisations attempting innovation.

When on March 24, 2020 the Government of India ordered a complete lockdown of the country as a response to the COVID-19 pandemic, it had serious unwanted implications for farmers and the supply chains for agricultural produce. This was magnified by the fact that, as typically in developing countries, India's economy is strongly based on farming, industrialization of its agricultural systems being only modest. This paper reports on the various consequences of the COVID-19 lockdown for farming systems in India, including the economy, taking into account the associated emergency responses of state and national governments. Combining quantitative and qualitative sources of information with a focus on the Indian state of Uttar Pradesh, including expert elicitation and a survey of farmers, the paper identifies and analyzes the different factors that contributed to the severe disruption of farming systems and the agricultural sector as a whole following the lockdown. Among other issues, our study finds that the lack of migrant labor in some regions and a surplus of workers in others greatly affected the April harvest, leading to a decline in agricultural wages in some communities and an increase in others, as well as to critical losses of produce. Moreover, the partial closure of rural markets and procurement options, combined with the insufficient supply of products, led to shortages of food supplies and dramatically increased prices, which particularly affected urban dwellers and the poor. We argue that the lessons learned from the COVID-19 crisis could fuel the development of new sustainable agro-policies and decision-making in response not only to future pandemics but also to the sustainable development of agricultural systems in India and in developing countries in general.

Since the 1980s, many developing countries have introduced policies to promote seed industry growth and improve the delivery of modern science to farmers, often with a long-term goal of increasing agricultural productivity in smallholder farming systems. Public, private, and civil society actors involved in shaping policy designs have, in turn, developed competing narratives around how best to build an innovative and sustainable seed system, each with varying goals, values, and levels of influence. Efforts to strike a balance between these narratives have often played out in passionate discourses surrounding seed rules and regulations. As a result, however, policymakers in many countries have expressed impatience with the slow progress on enhancing the contribution of a modern seed industry to the overarching goal of increasing agricultural productivity growth. One reason for this slow progress may be that policymakers are insufficiently cognizant of the trade-offs associated with rules and regulations required to effectively govern a modern seed industry. This suggests the need for new data and analysis to improve the understanding of how seed systems function. This paper explores these issues in the context of Asia's rapidly growing seed industry, with illustrations from seed markets for maize and several other crops, to highlight current gaps in the metrics used to analyze performance, competition, and innovation. The paper provides a finite set of indicators to inform policymaking on seed system design and monitoring, and explores how these indicators can be used to inform current policy debates in the region., Highlights • Despite several decades of policy reforms, decisionmaking on seed systems in many developing countries remain poorly informed by market- and policy-relevant indicators. • We explores Asia’s rapidly growing seed industry to illustrate current gaps in metrics used to analyze performance, competition, and innovation. • We present a finite set of seed system indicators to inform policymaking. • We discuss how these indicators might be used to shape competing narratives and inform current policy discourse around seed system develop in the region.

Digitalization and the use of Smart Farming Technologies are considered a major opportunity for the future of agriculture. However, realisation of full benefits is constrained by: (1) farmers' interest in and use of big data to improve farm decision making; (2) issues of data sovereignty and trust between providers and users of data and technology; (3) institutional arrangements associated with the governance of data platforms. This paper examines the case of Australia's dairy herd milk recording system, arguably one of agriculture's first cases of ‘big data’ use, which collects, analyses and uses farm-level data (milk production, lactation and breeding records) to provide individual cow and herd performance information, used by individual farmers for farm management decisions. The aim of this study was to 1) examine the use of big data to add value to farm decision making; and 2) explore factors and processes, including institutional arrangements, which influence farmer engagement with and use of big data. This paper traces the Australian history of the organisation of dairy herd recording (established in 1912 and digitalized in late 1970s) and then uses findings from a longitudinal study of 7 case study dairy farms, which were incentivised to become involved in herd recording in 2015. Applying a conceptual framework linking path dependency in farm decision making and collaborative governance capacity, we find three new important dimensions of the farm user context influencing farmer demand for big data applications: 1) the transition to a new business stage; 2) the additionality farmers seek from data generated in one component of the farm system to other subsystems, and 3) the use of data in long term or strategic decision making. Further, we identified critical attributes of support services in addressing digital literacy, capacity and capability issues at farm level, including diversity in data presentation formats and facilitation of the on-farm transition process through intermediary herd test organisations. The role of farmers as governance actors, or citizens in the decisions of the trajectory of big data applications, adds to understanding of the nature of collaborative governance arrangements that support farm engagement.

Inefficient use of irrigation water threatens coffee production in Vietnam, the second largest producer worldwide after Brazil. This paper examines the irrigation issues that constrain sustainable coffee production in Vietnam. The period from January to April is a crucial time in the growth of the coffee crop. It requires irrigation, because rainfall only provides 25% of the potential crop evapotranspiration demand. According to crop phenology, this period also requires induced water stress, because it coincides with breaking the dormancy of flower buds and initiation of cherry development, which is crucial for achieving high yield. This paper proposes an irrigation supply of 120 or 150 mm between January and April in a year preceded by good or average rainfall respectively, in November and December. This is equivalent to 364 or 456 liters/plant/round in 3 rounds/year, which is only 70% of the locally recommended level by the Ministry of Agriculture and Rural Development. Synchronizing this irrigation supply with the management of other inputs could increase average yield up to 4000 kg/ha, from the present level of 2400 kg/ha making coffee production both sustainable and economically viable. In order to achieve this, building capacity of farmers to follow the irrigation and input application schedules is crucial.

Conservation agriculture (CA) is promoted worldwide to enhance soil quality, improve farmers’ incomes and increase the resilience of rainfed agro-ecosystems under climate change. A major constraint to the adoption of CA is crop residue management in mixed crop–livestock systems. Farmers have competing uses of crop residues – for soil cover, as fodder or as additional income source – which may explain low CA adoption rates in some countries. This paper describes the social and income trade-offs of different crop residue uses in Mexico at regional, community and household level associated with the introduction of CA. We first spatially analyze the importance of crop residues for fodder supply and identify municipalities with fodder surplus at national and regional level. Second, we assess the likely social trade-offs and implications for farming communities of changing a typical farm households’ residue allocation. Third, we identify the effects of crop residue uses on gross margins of maize and barley and assess the economic optimal crop residue allocation at the farm level with short planning horizons. The paper focuses on maize and barley producers in the central Mexican highlands and combines primary quantitative and qualitative data with secondary data. Analysis shows that at a national level, Mexico has a fodder surplus while the central highlands have a deficit. Crop residues are a major fodder source in Mexico, contributing up to 40% of fodder availability. Crop residues are also an important income source which implies costs for introducing CA in the central highlands. Our analysis indicates that retaining crop residues in-situ influences gross margins and that retention of roughly 45% of residues maximizes gross margins in situations where opportunity costs for the use of crop residues exist. Partial residue retention, sequential introduction and combination of technologies may facilitate CA uptake but CA remains a challenge for resource-poor farmers given their limited liquidity, risky production environment and difficulty to forego current income for future benefits. More interdisciplinary research is needed around economic optimal residue retention levels under different farming and production conditions, to identify the ecological needed minimum cover of crop residues for CA and to develop alternative low-cost sustainable technologies with short-term benefits.

In complex mixed crop-livestock systems with limited resources and biomass scarcity, crop residues play an important but increasingly contested role. This paper focuses on farming systems in the semi-arid areas of Zimbabwe, where biomass production is limited and farmers integrate crop and livestock activities. Conservation Agriculture (CA) is promoted to intensify crop production, emphasizing the retention of surface mulch with crop residues (CR). This paper quantifies the associated potential economic tradeoffs and profitability of using residues for soil amendment or as livestock feed, and explores alternative biomass production options. We draw on household surveys, stakeholder feedback, crop, livestock and economic modeling tools. We use the Trade-Off Analysis Model for Multi Dimensional Impact Assessment (TOA-MD) to compare different CR use scenarios at community level and for different farm types: particularly the current base system (cattle grazing of maize residues) and sustainable intensification alternatives based on a CA option (mulching using maize residues ± inorganic fertilizer) and a maize– mucuna (Mucuna pruriens) rotation. Our results indicate that a maize–mucuna rotation can reduce trade-offs between CR uses for feed and mulch, providing locally available organic soil enhancement, supplementary feed and a potential source of income. Conservation Agriculture without fertilizer application and at non-subsidized fertilizer prices is not financially viable; whereas with subsidized fertilizer it can benefit half the farm population. The poverty effects of all considered alternative biomass options are however limited; they do not raise income sufficiently to lift farmers out of poverty. Further research is needed to establish the competitiveness of alternative biomass enhancing technologies and the socio-economic processes that can facilitate sustainable intensification of mixed crop-livestock systems, particularly in semi-arid environments.

The integrated rice–duck farming (IRDF), in which ducks feed on insects and weeds in paddies and fertilise rice plants, has been a flagship of Asian sustainable-agriculture movements. Nevertheless, IRDF is not spreading rapidly enough to the extent to which it becomes a successful alternative agriculture. This paper undertakes a systematic review of a collection of experimental IRDF studies in order to derive an insight from the divergent experimental settings and findings. The paper also identifies the strengths and weaknesses of, opportunities for and threats to IRDF from the perspective of IRDF farmers, using the expert elicitation method. Five IRDF expert farmers from each of South Korea, Malaysia and Vietnam were interviewed for this purpose. The experimental studies and the expert farmers concurred that the most recognisable empirical strength of IRDF is the synergy of rice and ducks. It was found that the establishment of organic food certification systems provides an opportunity for IRDF to grow. On the other hand, labour-intensiveness was found the most challengeable weakness of IRDF. In parallel, labour shortage in rural areas was found as a serious threat to IRDF. It appears that the weaknesses and threats are more influential than the strengths and opportunities to shaping the adoption of IRDF. In order to make IRDF economically more feasible, the non-market ecological benefits of IRDF in mitigating land degradation and global warming can and should be internalised through appropriate policy instruments.

With an estimated surface area of 190 M ha, inland valleys are common landscapes in Africa. Due to their general high agricultural production potential, based on relatively high and secure water availability and high soil fertility levels compared to the surrounding uplands, these landscapes could play a pivotal role in attaining the regional objectives of food security and poverty alleviation. Besides agricultural production, i.e. mainly rice-based systems including fish-, vegetable- fruit- and livestock production, inland valleys provide local communities with forest, forage, hunting and fishing resources and they are important as water buffer and biodiversity hot spots. Degradation of natural resources in these vulnerable ecosystems, caused by indiscriminate development for the sole purpose of agricultural production, should be avoided. We estimate that, following improved water and weed management, production derived from less than 10% of the total inland valley area could equal the total current demand for rice in Africa. A significant part of the inland valley area in Africa could hence be safeguarded for other purposes. The objective of this paper is to provide a methodology to facilitate fulfilment of the regional agricultural potential of inland valleys in sub-Saharan Africa (SSA) such that local rural livelihoods are benefited and regional objectives of reducing poverty and increasing food safety are met, while safeguarding other inland-valley ecosystem services of local and regional importance. High-potential inland valleys should be carefully selected and developed and highly productive and resource-efficient crop production methods should be applied. This paper describes a participatory, holistic and localized approach to seize the regional potential of inland valleys to contribute to food security and poverty alleviation in sub-Saharan Africa. We analyzed over a 100 papers, reference works and databases and synthesized this with insights obtained from nearly two decades of research carried out by the Africa Rice Center and partners. We conclude that sustainable rice production in inland valleys requires a step-wise approach including: (1) the selection of ‘best-bet’ inland valleys, either new or already used ones, based on spatial modelling and a detailed feasibility study, (2) a stakeholder-participatory land use planning within the inland valley based on multi-criteria decision making (MCDM) methods and using multi-stakeholder platforms (MSP), (3) participatory inland-valley development, and (4) identification of local production constraints combining model simulations and farmer participatory priority exercises to select and adapt appropriate practices and technologies following integrated management principles.

The System of Rice Intensification (SRI) involves a package of management practices for rice cultivation that was developed by a French Jesuit priest in Madagascar. Although the technical and economic efficacy of the package is heavily contested among rice scientists, the package has spread rapidly across the globe, at least in the sense that many rice farmers now identify them with the term ‘SRI’. Understanding the spreading process of SRI may yield important lessons for agricultural research and extension establishments which often have difficulty to spread their ideas and technologies. This paper seeks to throw some light on the spreading process of SRI within the context of Andhra Pradesh, India. Inspired by innovation theoretical considerations, we do not orient ourselves to the spread at the farmer level, but rather to the way in which SRI was adopted by higher level organisations and institutions. This paper suggests that the formation of a heterogeneous ‘support network’ which transcends the conventional agricultural networks is likely to have played a significant role in the spreading of SRI. As part of this network, an important newspaper has reported disproportionally about SRI and represented it in a highly favourable manner. This simultaneously mirrors support for SRI among higher level actors in the agricultural innovation system, and is likely to have contributed to further awareness and opinion formation at this level.

A 45% reduction in riverine total nitrogen flux from the 1980–1996 time period is needed to meet water quality goals in the Mississippi Basin and Gulf of Mexico. This paper addresses the goal of reducing nitrogen in the Mississippi River through three objectives. First, the paper outlines an approach to the site-specific quantification of management effects on nitrogen loading from tile drained agriculture using a simulation model and expert review. Second, information about the net returns to farmers is integrated with the nitrogen loading information to assess the incentives to adopt alternative management systems. Third, the results are presented in a decision support framework that compares the rankings of management systems based on observed and simulated values for net returns and nitrogen loading. The specific question addressed is how information about the physical and biological processes at Iowa State University’s Northeast Research Farm near Nashua, Iowa, could be applied over a large area to help farmers select management systems to reduce nitrogen loading in tile drained areas. Previous research has documented the parameterization and calibration of the RZWQM model at Nashua to simulate 35 management system effects on corn and soybean yields and N loading in tileflow from 1990 to 2003. As most management systems were studied for a 6 year period and in some cases weather had substantial impacts, a set of 30 alternative management systems were also simulated using a common 1974–2003 input climate dataset. To integrate an understanding of the economics of N management, we calculated net returns for all management systems using the DevTreks social budgeting tool. We ranked the 35 observed systems in the Facilitator decision support tool using N loading and net returns and found that rankings from simulated results were very similar to those from the observed results from both an onsite and offsite perspective. We analyzed the effects of tillage, crop rotation, cover crops, and N application method, timing, and amount for the 30 long term simulations on net returns and N loading. The primary contribution of this paper is an approach to creating a quality assured database of management effects on nitrogen loading and net returns for tile drained agriculture in the Mississippi Basin. Such a database would systematically extend data from intensively monitored agricultural fields to the larger area those fields represent. Published by Elsevier Ltd.

In the European Mediterranean basin, pasture-based sheep farming systems are mostly located in marginal/High Nature Value areas. These production systems are multifunctional, and their economic, environmental and social roles are equally important and recognised by policy makers and by society. However, the number of animals and holdings is decreasing, and there is great uncertainty regarding the reproducibility of these farming systems, which depends on many internal and external farm factors and their interactions. The aim of this paper was to perform a comprehensive assessment of sustainability in different sheep farming systems in north eastern Spain using the MESMIS framework. We followed a case-study approach to perform an in-depth investigation of 4 sheep meat and dairy farms with different intensities of reproduction management. Critical points of sustainability, including weaknesses and opportunities, were obtained using a participatory process with stakeholders (farmers and technical advisers) that resulted in the selection of 37 sustainability indicators that were classified according to the systemic attributes defined by MESMIS (productivity, stability, self-reliance, adaptability, equity) and according to the classical sustainability pillars (social, economic and environmental). Some underlying patterns could be observed when analysing sustainability pillars, attributes and indicators. A positive relationship between productivity and intensification level in meat farms was observed; however, economic sustainability was determined not only by on-farm but also by off-farm activities. The economic efficiency of farming (without considering subsidies) was mainly explained by the capture of added value in the dairy systems and the combination of high animal productivity as well as high forage and feed self-sufficiency in the meat systems. Social issues were also central to explaining sustainability at the farm level, including the prospects of generational turnover and the manner in which farmers perceive and rate their activity. A clear trade-off between economic and environmental indicators was observed, i.e., the higher the economic sustainability, the lower the environmental sustainability. Each farm scored differently for diverse attributes, pillars and individual indicators. The scores differed according to size, structure, resource availability and managerial skills, which implies that it would be difficult to apply a holistic sustainability analysis to farming systems instead of individual farms. A number of methodological questions arose during the evaluation process relative to the stakeholders perception of these indicators, their relevance and meaning, the reference values for comparison, or their validity to assess sustainability across spatial and temporal scales. These questions are discussed in the paper.

Conservation agriculture practices are being advocated to help sustain crop productivity gains and secure environmental sustainability in the Trans-Gangetic Plains, India’s Green Revolution heartland. The paper illustrates the use of village surveys as a quasi-quantitative system analysis tool to derive implications for agricultural research and development. Drawing from village surveys in 170 communities, the paper assesses current crop residue management practices in Punjab and Haryana’s rice–wheat, basmati–wheat and non-rice–wheat cropping systems. The prevalence of wheat as the winter crop implies an intensive collection, trading and use of wheat straw as basal feed for dairy livestock; which contrasts with the diverse crop residue management of the monsoon crops. The increased use of combine harvesters has spurred the rapid advent of mechanical wheat straw reapers whereas the bulk of combine harvested rice straw is burned in situ . Present crop residue management practices are largely incompatible with year-round mulch retention despite significant biomass production. The research and development community faces the challenge of evening out straw use and management over seasons to ensure at least partial residue retention if its calls for conservation agriculture in this important sub-region are to succeed. The paper also reiterates the worrying decline of groundwater tables associated with the rice–wheat system.

Experiences from the Mitigation Options for Phosphorus and Sediment (MOPS) projects, which aim to determine the effectiveness of measures to reduce pollutant loading from agricultural land to surface waters, have been used to contribute to the findings of a recent paper (Kay et al., 2009, Agricultural Systems, 99, 67-75), which reviewed the efficacy of contemporary agricultural stewardship measures for ameliorating the water pollution problems of key concern to the UK water industry. MOPS1 is a recently completed 3-year research project on three different soil types in the UK, which focused on mitigation options for winter cereals. MOPS1 demonstrated that tramlines can be the major pathway for sediment and nutrient transfer from arable hillslopes, and that although minimum tillage, crop residue incorporation, contour cultivation, and beetle banks also have potential to be cost-effective mitigation options, tramline management is the one of the most promising treatments for mitigating diffuse pollution losses, as it was able to reduce sediment and nutrient losses by 72-99% in four out of five site years trialled. Using information from the MOPS projects, this paper builds on the findings of Kay et al. to provide an updated picture of the evidence available and the immediate needs for research in this area.

This paper examines the role of postsecondary agricultural education and training (AET) in sub-Saharan Africa in the context of the region’s agricultural innovation systems. Specifically, the paper looks at how AET in sub-Saharan Africa can contribute to agricultural development by strengthening innovative capacity, or the ability of individuals and organisations to introduce new products and processes that are socially or economically relevant, particularly with respect to smallholder farmers who represent the largest group of agricultural producers in the region. The paper argues that while AET is conventionally viewed in terms of its role in building human and scientific capital, its also has a vital role to play in building the capacity of organisations and individuals to transmit and adapt new applications of existing information, new products and processes, and new organisational cultures and behaviours. The paper emphasizes the importance of improving AET systems by strengthening the innovative capabilities of AET organisations and professionals; changing organisational cultures, behaviours, and incentives; and building innovation networks and linkages. Specific recommendations in support of this include aligning the mandates of AET organisations with national development aspirations by promoting new educational programs that are more strategically attuned to the different needs of society; inducing change in the cultures of AET organisations through the introduction of educational programs and linkages beyond the formal AET system; and strengthening individual and organisational capacity by improving the incentives to forge stronger linkages between AET and diverse user communities, knowledge sources, and private industry.

In agriculture, value chain research provides a capacity to increase efficiencies, business integration, responsiveness and ultimately market competitiveness. In sugar, such research has expanded rapidly over the past two decades, and has been motivated by low world sugar prices and rising costs of production. In this paper, we highlight the future opportunities in value chain research to achieve more profitable and sustainable sugar industries in different countries. We do this by: (a) conducting an extensive review of value chain research in sugar; (b) assessing the change resulting from chain research using case studies in the Australian and South African sugar industries; highlighting challenges to value chain research; and (c) considering opportunities and methodologies used in other industries. The paper makes several conclusions and recommendations. In particular we show that value chain opportunities require more than just a technical solution, and need collective participation from across the chain, and usually evolutionary change management. Also, we show that whilst value chain thinking and research in sugar has targeted to achieving a lean system, there are potentially greater benefits in developing an agile chain. From a modelling perspective, we highlight the future prospects of multi-agent approaches to accommodating complexities of addressing value chain opportunities in sugar. While the focus of this paper is on sugar value chains, much of the information is relevant to chains of other agricultural commodities.

This paper presents a scenario-based analysis of the impacts of Common Agricultural Policy (CAP) reform for upland agriculture using a Welsh case-study. Specifically the paper examines the impacts of the introduction of the single-farm payment (SFP), the modulation of direct payments under Pillar I of the CAP and the increase in agri-environment payments under Pillar II. Three enterprises are examined, upland sheep rearing with lamb finishing, spring- and autumn-calving suckler-cattle with calf rearing. These enterprises are modelled under conditions in 2002/3, 2004/5 and for the reformed CAP in 2005/6. To support this analysis a livestock system model (LSM) was implemented. The model assesses alternative management regimen using a flexible state-transition approach. This simplifies the realisation and parameterisation of potentially complex management regimen. The model tracks fodder requirements to achieve targets based on defined diets. The LSM underpins whole-farm analyses of stocking-rates, labour and other resource requirements and net-farm income. From the case study the paper concludes that the impacts of the introduction of the CAP reform on the financial performance of the systems are small but negative (a net reduction of around 5% in support). The larger reduction in direct payments (15–18%) is partially offset by agri-environment measures. The paper concludes that while SFP encourages a more market-oriented outlook, the adaptive capacity within systems as they stand is very limited. There are a range of possible adaptation strategies, but for the uplands the extensification of cattle systems by reducing stock numbers and cutting back on labour seems most probable.

An earlier companion paper developed a framework for river basin management to assess trade-offs among economic, social and environmental factors and their spatiotemporal variability (Letcher, R.A., Merritt, W.S., Jakeman, A.J., Croke, B.F., this issue. An integrated modelling toolbox for water resources assessment and management in Northern Thailand: model description, Agricultural Systems). That paper discussed an integrated modelling toolbox (IMT) that has been developed for highland catchments with specific application to the Mae Chaem catchment in Northern Thailand. The aim of the IMT is to provide information on these types of trade-offs. The toolbox uses a scenario modelling approach that translates policy and uncontrollable drivers into scenario inputs to the biophysical toolbox, a component of the integrated modelling toolbox. The biophysical toolbox (BPT) outputs indicators from models of crop growth, erosion and rainfall-runoff, whereas socioeconomic decision-making and impact models are complementary components of the IMT. This paper presents results from a sensitivity analysis of the model to changes in various input assumptions. These results show that policy recommendations based on socioeconomic or flow impacts are not likely to be affected by small levels of uncertainty in prices or costs, or recent variability in climate. Erosion is the most sensitive output, and is strongly sensitive to a change in price. But the direction of change in erosion appears to be consistent across different price assumptions. Overall the model shows plausible levels and patterns of sensitivity to changes in input parameters.

This paper presents a methodology for analyzing the effect of policies focused at reducing pollution from agriculture. Such a methodology must take into account that agricultural pollution is an effect of a large set of interacting processes, covers many different substances, and may vary substantially due to shifts in natural and economic conditions. Thus, the methodology must both cover the specificities of the different processes/disciplines involved and foster integration across these in a consistent way. The basic challenge is to cover the non-linear fine-scale variations at different levels of land-based production systems. Our methodology is founded on the idea of partitioning. It implies structuring and simplifying existing variation in space and time into partitions that are considered homogeneous. These partitions are organized in a hierarchy, and the different processes involved are modeled at the relevant level. We have concluded that analyses with fairly high level of resolution are preferable. This way it is also possible to combine a systems perspective with disciplinary integrity. A modeling structure – ECECMOD (2.0) – based on the developed principles is documented. The paper also shows the ability of this structure to simulate choice of farming practices and emissions that are well in accordance with observations from four Norwegian regions with very different agricultural and natural conditions.

Development has ended isolation in many parts of Kalimantan, Indonesia, and provides previously isolated communities with the opportunity for greater involvement in a market economy. This paper describes the use of a simulation model to study the possible impacts of greater involvement in cash cropping in swidden agricultural systems. The model uses both individual-based and rule-based modelling approaches. The model formulation is based on a previous report of the social structure, culture and agricultural production system of the Kantu in West Kalimantan [Dove, M.R., 1985. Swidden Agriculture in Indonesia: The Subsistence Strategies of the Kalimantan Kantu. Mouton Publishers, Berlin]. The model simulates: (1) births, deaths, marriage, household formation and dissolution; (2) land use decisions on the type, number and location of swidden cultivation; and (3) tracks the consequences of those decisions at a landscape level as well as the economic welfare of the households. The model deals with swidden cultivation of rice and the planting and tapping of rubber. The paper presents a simulation experiment that compares different land use strategies under a scenario of fluctuating rubber price. An important finding is that maintaining swidden cultivation as an option in the farming system, rather than permanently replacing swidden cultivation with cash cropping, appears to be a safer strategy to moderate the impact of commodity price fluctuations. � 2005 Elsevier Ltd. All rights reserved.

This paper introduces the special issue, which deals with local rural people’s responses to external and internal pressures brought about by global change processes. The contributions are grouped in three categories: (1) Deforestation, land use change and local management systems, including papers on the spread of an alien wattle species in South Africa, large scale forest conservation and rehabilitation in China and consequences of government efforts to reverse deforestation in Indonesia; (2) Subsistence farming and cash crop interaction, addressed by two articles on swidden systems in Malaysia and Indonesia; and (3) Land use change and income diversification, which includes two contributions on changing livelihoods of farmers in Tanzania and Papua New Guinea and one paper developing a method for identifying and mapping the spatial distribution of farming systems in Vietnam. All articles were originally presented at an International Conference in Copenhagen, Denmark in 2003, under the auspices of the Danish University Consortium on Environment and Development - Sustainable Land Use and Natural Resource Management (DUCED SLUSE).

Sustainability has become a central issue in the agricultural sector, both for researchers, producers and policy-makers. The two main objectives of this paper are: (1) to present an holistically designed ecological-economic model to evaluate farm and field-level environmental-economic tradeoffs with special reference to multi-objective policy-making and (2) to evaluate the impact of the Agenda 2000 reform on sustainability of organic farming. The model was implemented for the case of organic dairy farming in northern Tuscany (Italy). Minor differences were found between the environmental and technical results of the model under the MacSharry and Agenda 2000 reforms. However, gross margins under the Agenda 2000 regulations were considerably higher. The spatial detail of the model proved particularly useful in the evaluation of the impact of environmental sustainability thresholds. Sensitivity analysis indicated the weak environmental points of the farming system (in this case mainly soil erosion) and the feasible levels of the various environmental aspects and their associated socio-economic costs. The application of the model for alternative policy scenarios provided insights into ways in which the cost economic efficiency of the Agenda 2000 agri-environment support scheme could be improved. The paper concludes with suggestions for further model research to contribute to the design of cost-efficient agri-environment payment schemes. (C) 2003 Elsevier Ltd. All rights reserved.

The US food system, from field to table, is at a crossroads for change. Improving the sustainability of this complex system requires a thorough understanding of the relationships between food consumption behaviors, processing and distribution activities, and agricultural production practices. A product life cycle approach provides a useful framework for studying the links between societal needs, the natural and economic processes involved in meeting these needs, and the associated environmental consequences. The ultimate goal is to guide the development of system-based solutions. This paper presents a broad set of indicators covering the life cycle stages of the food system. Indicators address economic, social, and environmental aspects of each life cycle stage: origin of (genetic) resource; agricultural growing and production; food processing, packaging and distribution; preparation and consumption; and end of life. The paper then offers an initial critical review of the condition of the US food system by considering trends in the various indicators. Current trends in a number of indicators threaten the long-term economic, social, and environmental sustainability of the US food system. Key trends include: rates of agricultural land conversion, income and profitability from farming, degree of food industry consolidation, fraction of edible food wasted, diet related health costs, legal status of farmworkers, age distribution of farmers, genetic diversity, rate of soil loss and groundwater withdrawal, and fossil fuel use intensity. We suggest that effective opportunities to enhance the sustainability of the food system exist in changing consumption behavior, which will have compounding benefits across agricultural production, distribution and food disposition stages.

A rural biorefinery is the concept of an integrated factory to process crops into “refined” fractions, located at the centre of a farming community. The biorefinery system starts with the contract harvesting of whole crops (grain and straw) which are then stored and fractionated (including drying as necessary) into products and by-product for sale. This paper describes the models which analyse the processes and the profitability or otherwise of possible biorefinery systems in Europe. In particular, this paper details the linear programming (LP) model used to optimise the profitability and determine the optimal planning of processes in a biorefinery factory, details of the complexities of defining how processes affect products and by-products and how this is used within the linear programme. An example LP matrix and solution is used to illustrate the formulation and for understanding. The work is the culmination of 3 years EU and MAFF funded projects to assess the potential of such centralised and integrated systems of crop processing as alternatives to more conventional separate harvesting and milling processes.

This paper describes the functioning and validation of the Decision Support Systems described in the first part of the paper. The DSS ran three case studies with different farm sizes that represent the range of farmers found in the Valley. The DSS results were validated against survey data for the same cases. Traditional technologies for maize and milk production were reproduced by the DSS including land use and cattle feeding systems. The generic nature of the DSS was demonstrated as well as its capacity to deal with the system's socio-economic and biological aspects. The results suggest that the DSS was successful in reproducing the functioning of the farming system's main components. More importantly it simulated the complex interactions observed between the farmers and their crops and cattle. Finally, it is acknowledged that despite the size and complexity of the DSS, it only was able to emulate the functioning of the main components of the farming system.

Although not conspicuous in its literature, agricultural modelling and its applications have inherited much from the field of operational (operations) research. In the late 1940s, techniques for mathematically simulating processes came into agricultural science directly from industry. The decision support system (DSS) concept followed almost 40 years later. It seems that the large differences between farm production and its management and industrial production and its management account for the failure of agricultural systems scientists to be more attentive students of the experiences in this parent field. In hindsight, the penalty of this is greatest in the matter of the problematic socio-technical relationship between scientific models built to guide practice and actual practice. As a socio-technical innovation, the agricultural DSS has much more in common with DSSs in business and industry than might be expected judging by the domain knowledge content. One implication is that the crisis in the parent field concerning the ‘problem of implementation’ could have served as a cautionary tale for agriculture. Although this opportunity was missed, it is not too late to tap problemstructuring and problem-solving insights from operations research/management science to aid our thinking about our own ‘problem of implementation’. This paper attempts this in constructing a framework for thinking about subsequent papers in this Special Issue. # 2002 Elsevier Science Ltd. All rights reserved.

Livestock management, as a means of determining the extent and value of nutrient flows in agricultural landscapes, is already well understood and exploited by small-scale farmers in Asia. This paper highlights the biological interfaces in smallholder agricultural systems where animals exert the greatest influence upon nutrient cycles, and suggests that these should form the focus of scientific effort to elucidate the key elements of the biological processes at work. Two case studies of intensive mixed farming systems are presented from the uplands of Java, Indonesia and the Mid-Hills of Nepal. These examples show how management practices have developed over centuries to enhance the contribution that livestock make to motivating and moderating nutrient flows on very small and continuously cultivated land holdings. The paper concludes by emphasising that there is an urgent need to understand the biological mechanisms that enable livestock to contribute to the sustainability of intensive smallholder agriculture.

Traditionally, small farmers in Asia have practiced mixed farming. To improve crop and animal productivity, increase farm incomes and maintain the ecological balance, several technology options have been developed through on-station and on-farm research by international organisations and national agricultural research systems. However, a review of the research reveals a paucity of information, particularly in South Asia, on the socio-economic benefits and impacts of these technologies and interventions for poor farming households. This paper presents the few case studies available which document the benefits of new technologies to improve crop–animal systems. Additionally, the paper suggests reasons for the neglect of socio-economics in these studies, and ways to strengthen this dimension.

The development of cropping systems simulation capabilities world-wide combined with easy access to powerful computing has resulted in a plethora of agricultural models and consequently, model applications. Nonetheless, the scientific credibility of such applications and their relevance to farming practice is still being questioned. Our objective in this paper is to highlight some of the model applications from which benefits for farmers were or could be obtained via changed agricultural practice or policy. Changed on-farm practice due to the direct contribution of modelling, while keenly sought after, may in some cases be less achievable than a contribution via agricultural policies. This paper is intended to give some guidance for future model applications. It is not a comprehensive review of model applications, nor is it intended to discuss modelling in the context of social science or extension policy. Rather, we take snapshots around the globe to 'take stock' and to demonstrate that well-defined financial and environmental benefits can be obtained on-farm from the use of models. We highlight the importance of 'relevance' and hence the importance of true partnerships between all stakeholders (farmer, scientists, advisers) for the successful development and adoption of simulation approaches. Specifically, we address some key points that are essential for successful model applications such as: (1) issues to be addressed must be neither trivial nor obvious; (2) a modelling approach must reduce complexity rather than proliferate choices in order to aid the decision-making process (3) the cropping systems must be sufficiently flexible to allow management interventions based on insights gained from models. The pro and cons of normative approaches (e.g. decision support software that can reach a wide audience quickly but are often poorly contextualized for any individual client) versus model applications within the context of an individual client's situation will also be discussed. We suggest that a tandem approach is necessary whereby the latter is used in the early stages of model application for confidence building amongst client groups. This paper focuses on five specific regions that differ fundamentally in terms of environment and socio-economic structure and hence in their requirements for successful model applications. Specifically, we will give examples from Australia and South America (high climatic variability, large areas, low input, technologically advanced); Africa (high climatic variability, small areas, low input, subsistence agriculture); India (high climatic variability, small areas, medium level inputs, technologically progressing; and Europe (relatively low climatic variability, small areas, high input, technologically advanced). The contrast between Australia and Europe will further demonstrate how successful model applications are strongly influenced by the policy framework within which producers operate. We suggest that this might eventually lead to better adoption of fully integrated systems approaches and result in the development of resilient farming systems that are in tune with current climatic conditions and are adaptable to biophysical and socioeconomic variability and change. (C) 2001 Elsevier Science Ltd. All rights reserved.

Farm households form a significant unit of study for the rural policy analyst as it is at this level of aggregation that the decisions to participate in government policy initiatives and to adopt new technologies are taken, although the true micro-level impacts of such decisions might be felt more acutely at the intra-household level. This paper describes a range of modelling approaches that have been used to represent micro-level decision making related to sustainable agricultural development. While none of the examples was undertaken in a pluralistic framework, they illustrate that two or more methodologies can be integrated so that the complementarity and/or conflict between the results would enhance the quality of the outcomes. The paper argues that because of the integrated nature of the relationship between the farm household (or the decision-making unit), the farming system, and the environment, more progress can be made by using more than one methodology even though their assumptions may be incompatible and their results imply different solutions to the problem. The dialogue created by this diversity will provide better solutions than a reliance on one paradigm and its associated methodologies. One methodological approach will not be sufficient to capture the decision-making process and its subsequent impacts and a pluralist approach is advocated.

This paper introduces a linear programming optimization model for analyzing inter-seasonal allocation of irrigation water in quantities and qualities and their impact on agricultural production and income. The SAWAS model is a developed version of the Agricultural Sub-Model (AGSM). In this research, we stress water scarcity as a problem that arises when water is not found in proper quantity and quality at the appropriate place and time. The model is designed to serve as a decision-making tool for planners of agricultural production on both the district and the regional level. It generates an optimal mix of water-demanding activities that maximizes the net agricultural income of the districts and gives the water demands under various prices. It also provides the planner with tools to carry out ‘what-if’ experiments and to generate optimal water demand curves. A principal feature of SAWAS is the use of demand and the benefits from water together with costs and optimization within the agricultural sector to specify the optimal usage of different water qualities. Hence the agricultural planner can use the outputs of SAWAS in order to bridge the gap between the limited water resources and the increased agricultural production in an area that suffers from severe water scarcity. The paper applies the SAWAS model to the Jordan Valley in Jordan.

Using data collected from 400 farming households in the Casamance area of Senegal, the paper demonstrates that not only farm and farmers’ characteristics, but also farmers’ perceptions of technology-specific characteristics, significantly influence adoption decisions relating to improved rice varieties. Farmers’ perceptions about improved rice varieties were quantified using a quasi-arbitrary ordinal weighting system, based on a methodology first used in industry. The results of Tobit regression analysis including variables representing both farmers’ perceptions, as well as farm and farmer characteristics, were found to be important in determining the decision to adopt and the intensity of adoption of the improved rice varieties. We conclude, based on the results in the paper, that it is important for farmers, with the help of on-farm interdisciplinary farming systems teams, to provide an input into the rice breeding program of the Senegal Agricultural Research Institute during the process of rice variety development, rather than only having an opportunity to evaluate the varieties at the end of the research cycle. We believe that quantifying farmers’ perceptions in the manner suggested in the paper potentially makes them more palatable to station-based researchers used to cardinal types of analysis. Our findings also provide support for the farmer participatory crop breeding programs that have become popular in recent years in both international and national research systems.

In the Savannah region of West Africa, the highly variable rainfall and poor soils have been shown to differentially affect the yield potential of various crops. The paper applies a simple risk programming model to assess the effects of price and yield risk on the incomes of smallholder farmers in northern region of Cote d'Ivoire. The analysis showed that by considering price and yield risks, it would be possible for farmers to improve their incomes. Considerable evidence has been gathered to show that smallholder allocative inefficiency is a common place in Cote d'Ivoire. This study also found that farmers were operating at sub-optimal levels. This could be due to several factors, including multiple market failures, lack of information on prices, price and yield risks, labor market search costs or high transaction costs. The results from this paper suggests that when such price series information on the risks of different crops are considered, farmers would be better off re-allocating their cropping to a more optimal cropping plan. In evaluating cropping systems in the Savanna zone it is important to consider not only the yield of alternative crops, but also the yield risk, price risk, and income risk that farmers face in adjusting their cropping patterns. Second, to reduce production risks faced by farmers, emphasis should be placed on yield-stability of technology interventions intended for farmers in this zone. Lastly, policy makers should focus efforts on achieving farm income stabilization for farmers in this zone by: (1) developing effective market price information transmission system; (2) providing low-cost but high-resolution climatic information; and (3) developing risk-management institutions. Unless policy makers improve the availability of information that allows farmers to improve their managerial capacity for making more risk-efficient cropping decisions, it is unlikely that farmers in the zone will be able to cope with the pervasive risks that affect their welfare and livelihoods.

Increasingly, natural resource policy makers and program administrators are requiring that analysis of proposed changes include estimates of both environmental and economic implications. That requirement poses a difficulty for researchers since the spatial scale of models used for environmental analysis and for economic analysis are structured differently. In this paper we show how the differing spatial scales can be reconciled in a national analysis involving an agricultural model with state- and county-level-based geographical boundaries and a watershed model involving watershed boundaries. This type of modeling system integration has been done in analysis of single or multiple watershed-level issues, but our paper is the first to show a method for a national-level analysis involving state- and substate-level economic results and small watershed environmental results. The procedures and results are shown for a national cropland erosion control policy and for the release by one state experiment station of improved crop varieties.

The paper introduces an optimizing linear model for analysing agricultural production under various water quantities, qualities, timing, prices and pricing policies. The model is designed to serve as a decision-making tool for planners of agricultural production on district and national levels. The output solutions provide the optimal mix of water-consuming activities to maximize the net income of the agricultural production of the districts and the water demands under various prices. It also provides the user with procedures to carry out ‘if–then’ sensitivity and scenario analyses and to generate optimal water demand curves. The paper presents the formulation of the model, indicating and analysing problems of linearity and scaling, the steps undertaken to examine and verify it, optimal water demand curves for eight districts in Israel (separately and as an integrated unit) and calculated estimates of water demand elasticity.

Two previous papers in this series (Nelson et al., this issue) described the use of the Agricultural Production Systems Simulator (APSIM) to simulate the effect of erosion on maize yields from open-field farming and hedgerow intercropping in the Philippine uplands. In this paper, maize yields simulated with APSIM are used to compare the economic viability of intercropping maize between leguminous shrub hedgerows with that of continuous and fallow open-field farming of maize. The analysis focuses on the economic incentives of upland farmers to adopt hedgerow intercropping, discussing farmers' planning horizons, access to credit and security of land tenure, as well as maize pricing in the Philippines. Insecure land tenure has limited the planning horizons of upland farmers, and high establishment costs reduce the economic viability of hedgerow intercropping relative to continuous and fallow open-field farming in the short term, In the long term, high discount rates and share-tenancy arrangements in which landlords do not contribute to establishment costs reduce the economic viability of hedgerow intercropping relative to fallow open-field farming, (C) 1998 Elsevier Science Ltd. All rights reserved.

A version of the Agricultural Production Systems Simulator (APSIM) capable of simulating the key agronomic aspects of intercropping maize between legume shrub hedgerows was described and parameterised in the first paper of this series (Nelson et al., this issue). In this paper, APSIM is used to simulate maize yields and soil erosion from traditional open-field farming and hedgerow intercropping in the Philippine uplands. Two variants of open-field farming were simulated using APSIM, continuous and fallow, for comparison with intercropping maize between leguminous shrub hedgerows. Continuous open-field maize farming was predicted to be unsustainable in the long term, while fallow open-field farming was predicted to slow productivity decline by spreading the effect of erosion over a larger cropping area. Hedgerow intercropping was predicted to reduce erosion by maintaining soil surface cover during periods of intense rainfall, contributing to sustainable production of maize in the long term. In the third paper in this series, Nelson et al. (this issue) use cost-benefit analysis to compare the economic viability of hedgerow intercropping relative to traditional open-field farming of maize in relatively inaccessible upland areas. (C) 1998 Elsevier Science Ltd. All rights reserved.

This paper describes the parameterisation of the Agricultural Production Systems Simulator (APSIM) model to simulate open-field farming and intercropping of maize with leguminous shrub hedgerows. Whenever possible, parameters for the model were determined from measured or standard values for the environment of the field trials, while other parameters were derived from previous modelling experience in tropical environments. The remaining parameters were derived using step-wise calibration, where one or two parameters were calibrated against closely related measured data. Once parameterised, APSIM gave acceptable predictions of maize yields and soil loss from open-field farming and hedgerow intercropping. The version of APSIM described in this paper is used to simulate maize yields and soil erosion from open-field farming and hedgerow intercropping in the second paper in this series (Nelson et al., this issue). In the third paper, Nelson et al. (this issue) use cost–benefit analysis to compare the economic viability of hedgerow intercropping relative to traditional open-field farming of maize in relatively inaccessible upland areas.

Over the past decade there have been significant shifts in both the theory and methods of agricultural development. One of the most significant theoretical shifts has been the explicit incorporation of ecological criteria in agricultural research under the rubric of ‘sustainability’. Methodologically there has been widespread acceptance of farmer participatory research strategies or ‘on-farm research.’ This paper reports on the results of on-farm research with livestock carried out in the Peruvian Amazon from 1987–1992. The project was designed with several goals including (a) improving our understanding of farming systems in the region, (b) testing the agronomic potential of improved forages under on-farm conditions, (c) measuring the effects of improved forages on animal production and (d) assessing the ecological effects of cattle raising in the humid tropics. The paper presents results of the on-farm research, including information on pasture establishment, persistence, productivity and sustainability of grazing practices in this ecosystem. These results highlight the contribution of on-farm research to improving the productivity and sustainability of pastures in the humid tropics.

The role of the technologist in agricultural research and service organizations is not clearly understood, perhaps because of the large number of different professions that can be described as technological, that is, primarily concerned with using knowledge to practical effect. This paper seeks a deeper understanding of the general characteristics of technological activities. The paper formulates a model of technological purpose and approach by considering how competence in four types of technological work (problem solving, craft work, networking and integrating) builds over four career stages (apprentice, colleague, mentor and sponsor) to a proficiency in enablement, a concept which identifies and distinguishes the technological contribution. It argues that the concept of enablement, by which the process of production, distribution and marketing are made to function efficiently and to improve, captures the essence of the role of the technologist.

This paper reviews three stages of thought about the role of agriculture in economic development. The first, dating back to the 1950s and 1960s but having its origins in Soviet industrialization policies in the 1920s and 1930s, advocated extensive discrimination against agriculture as a way to mobilize labor and resources for investment in a modern industrial sector. Massive intervention by government into investment decisions and resource allocations was thought to be necessary to utilize effectively the resources extracted from agriculture. Even if all key economic decisions were not controlled by a central planning agency, as in socialist countries, most developing countries actively sought to displace market forces in favor of government decisions and activities. The second school of thought, dating to the 1970s and 1980s, sought a market-oriented balance between the agricultural and industrial sectors. This balance was needed to stimulate a more effective and dynamic role of agriculture in economic development, such as providing labor for an industrial workforce, food for an expanding population witth higher incomes, savings for industrial investments, a market for industrial output, export earnings to pay for imported capital goods, and raw materials for agro-processing industries. These contributions form the core of modern economic analysis of the relationship between agriculture and the modern sector. In this market-oriented approach to development, special measures to extract resources from agriculture to force the pace of industrialization are not warranted. Equally, however, when markets are working well and the economy is open to international trade, no special government policies are needed for these linkages to operate efficiently. Although this market-oriented development strategy has done much to redress the ‘urban bias’ that discriminated against agriculture in early development plans, this paper argues that it does not go far enough. Evidence is presented that a set of important links between agriculture and the rest of the economy is not well mediated by market forces. Sensitive interventions by government are required if agriculture is to play its optimal stimulative role in economic development. Several examples are discussed in the paper. First, there are non-market contributions of agriculture to economic growth, which operate through three poorly understood mechanisms: the impact of food price stability on investment decisions: the contribution of agricultural growth to growth in total factor productivity for the entire economy; and ‘learning by doing’ on the part of governments, which helps them understand their appropriate role in the development process, especially in mobilizing resources for investment in public goods, such as rural infrastructure. Second, the agricultural sector plays a special role in alleviating poverty. Third, agriculture serves to protect certain environmental amenities, such as green space and concentrations of greenhouse gases. Strategies for agricultural development that rely solely on market forces perform much better than strategies that systematically displace the market. But to ignore the important non-market contributions of agriculture is to undervalue significantly the sector's role in economic development.

This paper investigates whether opinion leaders and their followers differ in adopting certain current and potential recommended farm practices. Also studied is the innovativeness of the opinion leaders and factors associated with the adoption of agricultural practices. The paper is based upon farm-level data obtained from a remote area in Bangladesh, and is derived from employing the snow-ball sampling procedure. Overall extent of adoption between opinion leaders and followers did not differ significantly. The adoption of the high-yielding variety of wheat by the bigger number of opinion leaders was the only exception. The trend of adoption followed a predictive sequential and rational basis rather than a practice adopted apparently at random. A natural social mechanism was identified as playing a determining role in the selection of the opinion leaders in the community. Opinion leaders, regarded as important in influencing behaviour of other farmers, were not found to be innovators in terms of adopting farm practices. Of the 14 independent variables studied, 12 correlated significantly with the adoption of farm practices. Regression analysis showed that farm income emerged as the most important predictor of adoption of farm practices. Social factors of cosmopoliteness and family background were two other important factors. Extension workers need to introduce familiar, interrelated and appropriate practices for different income groups of farmers. Furthermore, to achieve the successful transfer of technologies the local social system needs to be appreciated and maintained.

This paper examines the feasibility of changing policies for the UK's sheep sector to improve environmental conservation. It is concluded that this requires a geographical definition of the sheep sector and that this is only possible in, for example, the least favoured areas where sheep farming predominates. Elsewhere, where there is a much greater variety of farming it would be invidious and impracticable. A wide range of policy instruments is available. Hectarage payments are attractive environmentally because they decouple support and production but they would have significant income redistribution effects which would be politically difficult to ignore. Environmental payments linked to farm employment might be preferable if sustaining local employment is also an important policy objective. Further study is required and the studies that are being undertaken in the UK on the impact of designating ‘environmentally sensitive areas’ will shed further light on the issues raised in this paper.

CONTEXT: To address sustainability challenges in agriculture, private and multi-stakeholder initiatives increasingly use sustainability indicators to monitor the sustainability impact of farms. These indicators can be part of standards for certification or assessment tools to measure farm performance. While these initiatives play an important role in navigating the sustainability transition, insight in how these governance initiatives operationalize sustainability in crop farming is lacking. OBJECTIVE: This paper examines how private and multi-stakeholder governance initiatives, which increasingly regulate the sustainability of a sizeable portion of agriculture globally, operationalize the concept of sustainability. It provides understanding into which sustainability themes are commonly included in sustainability initiatives, and those that are not, which can give insight into the direction these initiatives are steering crop production worldwide. METHODS: We developed an overview of governance initiatives using databases and existing research on sustainable agriculture initiatives. Documentation about these initiatives was gathered and used to systematically review descriptive and institutional characteristics of the 29 sustainability assessment and standard initiatives. Moreover, we analyzed the kinds of indicators (i.e., performance, practice, and target) and the themes that are prioritized in the environmental, social, and economic dimensions of sustainability. RESULTS AND CONCLUSIONS: The analysis shows that the 29 initiatives are very diverse in their characteristics. While some specifically focus on one crop or country, others operate across production chains and at a global scale. Within specific sectors or countries, certain standards are quite influential, for instance, the Better Cotton Initiative covers 22% of global cotton production, while in Ireland, 70% of horticulture farmers are Origin Green certified. Globally, 2% of the crop land is certified under one of the 14 standards that reported land use. Our analysis of sustainability themes show an imbalance across environmental, social, an economic sustainability, with environmental sustainability being prioritized. In particular, social themes such as quality of life, food sovereignty and fair trading practices were less often included (38, 24 and 21% respectively). SIGNIFICANCE: Sustainability standard and assessment initiatives govern a substantial and growing portion of global cropland. They play a central role in determining what is considered sustainable and thereby influence which farming practices are applied worldwide. The impact of these initiatives is likely to continue to grow as sustainability assessments and standards become more widely adopted. In examining a large sample of standard and assessment initiatives, this study presents a comprehensive overview of the current state of sustainability indicators for crop farming globally.

This paper presents a framework to prioritize locally suitable climate-smart agricultural (CSA) interventions and implementation suitability assessments with key stakeholders: state and district agriculture departments, extension offices, agriculture research institutions, NGOs and donor agencies, private sector and farmers. Prioritization of appropriate interventions for given contexts is needed to assist relevant stakeholders to make strategic decisions and improve adaptability and efficiency of agriculture production system in the face of climate change and variability. First step includes participatory identification and evaluation of location specific CSA interventions suitable for different crop and cropping system with potential to reduce climatic risks in agriculture. All CSA interventions were evaluated based on their contribution to increase farm productivity and income, building resilience to changing climate and reduction of agricultural emissions. Second step includes evaluation of overall implementation feasibility of selected CSA interventions based on their technical feasibility, cost of implementation, inclusivity and synergy with current government programs. In the third step, potential barriers of CSA technology adoption were assessed linking with availability of resources, farmers' knowledge and acceptability, access to agriculture extensions service, market and government support. In the fourth step, incentive mechanisms to promote CSA interventions such as government subsidy, market linkage, provision of loan and capacity building were evaluated with farmers and key stakeholders. Finally, this prioritization framework assessed the role of different organizations such as the government, private sector, non-government organizations, custom hiring centers and community based organizations in promoting CSA interventions at the local level. Results show that this framework provides ample space for local stakeholders to integrate their knowledge and experience on CSA interventions in prioritization and investment planning. Stakeholders prioritized mainly water and nutrient management technologies, agriculture insurance against climatic risks and ICT based weather and agro-advisory services. This framework provides a decision support tool for policy-making in adaptation and mitigation activities in agriculture sector at the local level. This framework can be used by governments, development organizations and the private sector for investment decision-making.