316 research outputs found

    Beyond averages: new approaches to understand heterogeneity and risk of technology success or failure in smallholder farming

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    Open Access ArticleIn recent years, many studies have demonstrated the heterogeneity of the smallholder production environment. Yet agronomic research for development (R4D) that aims to identify and test options for increasing productivity has not consistently adapted its approaches to such heterogeneous conditions. This paper describes the challenges facing research, highlighting the importance of variation in evaluating the performance of soil management recommendations, integrating aspects of production risk management within the formulation of recommendations, and proposing alternative approaches to implement agronomic R4D. Approaches are illustrated using two multi-locational on-farm paired trials, each having one no-input control treatment and a treatment with fertilizer application for maize in Western Kenya and for beans in Eastern Rwanda. The diversity of treatment responses should be embraced rather than avoided to gain a better understanding of current context and its relation with past management

    Solution space for sustainable intensification in Bougouni

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    Evaluation of Resource Management Options for Smallholder Farms Using an Integrated Modelling Approach

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    Farm-level analysis of trade-offs between soil fertility management alternatives is required to improve understanding of complex biophysical and socio-economic factors influencing decision making in smallholder farming systems and to identify opportunities for improving resource use efficiency. A farm characterization tool (IMPACT) linked to a generic optimization model (Household) was used to evaluate resource use on farms in contrasting wealth categories. The Household model optimized the net cash income for the farms (accounting for all on-farm and off-farm income, costs of production and expenditure for the households). Alternatives for management of nutrient resource were simulated using other models; APSIM for the crop production and RUMINANT for the livestock component. The output from the simulation models was fed into the Household model and evaluated within the biophysical and socioeconomic boundaries of the farms. Analysis of the performance of a poor farmer by IMPACT indicated a yearly net cash balance of USβˆ’7perannum(afterallneedshadbeentakencareof),mainlyduetonegativereturnsfromthecroppingsystem.Thefarmerreliedondonatedfoodandfertilizers.Thecashbalancewasnegative,eventhoughshealsoworkedforotherfarmers(i.e.soldlabour,about10daysamonthduringsixmonthsofthecropgrowingseason)togenerateincome.ThenetincomeofthepoorfarmwouldbeincreasedtoUS -7 per annum (after all needs had been taken care of), mainly due to negative returns from the cropping system. The farmer relied on donated food and fertilizers. The cash balance was negative, even though she also worked for other farmers (i.e. sold labour, about 10 days a month during six months of the crop growing season) to generate income. The net income of the poor farm would be increased to US81 per annum and the N balance from 7 kg ha-1 yr-1 to 10 kg ha-1 yr-1 by expanding the area allocated to groundnut from the current 5% to 31%. This would, however, generate a huge demand in labour in the current year (extra 46-man days) and reduce the P balance from 0 to -1 kg ha-1 yr-1. Maize could be managed more efficiently on the poor farm by cultivating a smaller, well-managed area. A wealthy farm household with a maize dominated cropping system had a net cash balance of US210perannum,mainlyfromsaleofcropproducts.Undercurrentresourcemanagement,thenetcashbalancecouldbeincreasedtoUS210 per annum, mainly from sale of crop products. Under current resource management, the net cash balance could be increased to US290 per annum by optimization of household energy and protein consumption. The net cash balance for the wealthy farm would be further increased to US448perannum,andnutrientbalancesto271kgNhaβˆ’1and30kgPhaβˆ’1byexpandingthemanagementstrategywheremaizewasgrownwithacombinationofcattlemanureandammoniumnitratefertilizer.Todothis,thefarmerwouldneedtosourcemoremanure(orimprovecaptureandtheefficiencywithwhichnutrientsarecycledthroughmanure)andinvestin110manβˆ’daysextralabour.ExpansionoftheareagrowntogroundnutwithoutfertilizerinputstoathirdofthefarmwouldreducenetcashbalancebyUS448 per annum, and nutrient balances to 271 kg N ha-1 and 30 kg P ha-1 by expanding the management strategy where maize was grown with a combination of cattle manure and ammonium nitrate fertilizer. To do this, the farmer would need to source more manure (or improve capture and the efficiency with which nutrients are cycled through manure) and invest in 110 man-days extra labour. Expansion of the area grown to groundnut without fertilizer inputs to a third of the farm would reduce net cash balance by US11 compared with the current crop allocation due to poor groundnut yield. This would also increase labour demand by 155 mandays. Groundnut intensification on the wealthy farm would be more economic and labour effective if a small area was grown with basal fertilizer (7%N, 6%P, 8%K). Despite reducing nutrient balances for the arable plots, feeding groundnut residues to lactating cows increased net cash balance by 12-18% for the current year through increased milk production. The integrated modelling approach was useful for linking biophysical and socio-economic factors influencing decision making on smallholder farms and evaluating trade-offs for resource use in terms of nutrient balances, labour use, food sufficiency and cash balance.Farm Management, Resource /Energy Economics and Policy,

    Banana-coffee system cropping guide

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