Gliricidia Agroforestry Technology Adoption Potential in Selected Dryland Areas of Dodoma Region, Tanzania

Declining soil fertility is one of the major problems facing producers of field crops in most dryland areas of Sub-Saharan Africa. In response to the declining soil fertility, extensive participatory research has been undertaken by the World Agroforestry (ICRAF) and smallholder farmers in Dodoma region, Tanzania. The research has, amongst others, led to the development of Gliricidia agroforestry technology. The positive impact of Gliricidia intercropping on crop yields has been established. However, information on farmers’ willingness and ability to adopt the Gliricidia agroforestry technology on their farms is limited. This study predicts the adoption of Gliricidia agroforestry and conventional mineral fertilizer use technology. Focus Group Discussions (FGDs) were conducted with groups of farmers, purposively selected based on five sets of criteria: (i) at least 2 years of experience in either trying or using Gliricidia agroforestry technology, (ii) at least 1 year of experience in either trying or using the mineral fertilizer technology (iii) at least 10 years of living in the study villages, (iv) the age of 18 years and above, and (v) sex. The Adoption and Diffusion Outcome Prediction Tool (ADOPT) was used to predict the peak adoption levels and the respective time in years. A sensitivity analysis was conducted to assess the effect of change in adoption variables on predicted peak adoption levels and time to peak adoption. The results revealed variations in peak adoption levels with Gliricidia agroforestry technology exhibiting the highest peak of 67.6% in 12 years, and that the most influential variable to the peak adoption is the upfront cost of investing in Gliricidia agroforestry and fertilizer technologies. However, in Gliricidia agroforestry technology most production costs are incurred in the first year of project establishment but impact the long term biophysical and economic benefits. Moreover, farmers practicing agroforestry technology accrue environmental benefits, such as soil erosion control. Based on the results, it is plausible to argue that Gliricidia agroforestry technology has a high adoption potential and its adoption is influenced by investment costs. We recommend two actions to attract smallholder farmers investing in agroforestry technologies. First, enhancing farmers’ access to inputs at affordable prices. Second, raising farmers’ awareness of the long-term environmental benefits of Gliricidia agroforestry technology.

[1]  S. Sieber,et al.  The Determinants of Farmers’ Choice of Markets for Staple Food Commodities in Dodoma and Morogoro, Tanzania , 2020, Agriculture.

[2]  S. Sieber,et al.  A Tailored Nutrition Education Intervention Improves Women’s Nutrition Knowledge and Dietary Practices in Farming Households of Tanzania , 2020 .

[3]  Rogers Andrew,et al.  Ex-Ante Analysis of Adoption of Introduced Chicken Strains Among Smallholder Farmers in Selected Areas of Tanzania , 2019, ICT4D.

[4]  T. Rosenstock,et al.  Understanding the Multidimensionality of Climate-Smartness: Examples from Agroforestry in Tanzania , 2018, The Climate-Smart Agriculture Papers.

[5]  H. Mahoo,et al.  ScalA-FS: expert-based ex-ante assessments of local requirements and success potential of upgrading strategies for improving food security in rural Tanzania , 2018, Food Security.

[6]  K. Wilson,et al.  The use of focus group discussion methodology: Insights from two decades of application in conservation , 2018 .

[7]  D. Pannell,et al.  Predicting farmer uptake of new agricultural practices: A tool for research, extension and policy , 2017 .

[8]  K. Mutabazi,et al.  Simulated willingness of farmers to adopt fertilizer micro-dosing and rainwater harvesting technologies in semi-arid and sub-humid farming systems in Tanzania , 2017, Food Security.

[9]  Tonya Schuetz,et al.  Responding to global change: A theory of change approach to making agricultural research for development outcome-based , 2017 .

[10]  B. Kinuthia,et al.  The Impact of Agricultural Technology Adoption on Farmer Welfare in Uganda and Tanzania , 2017 .

[11]  Laurens Klerkx,et al.  Systemic perspectives on scaling agricultural innovations. A review , 2016, Agronomy for Sustainable Development.

[12]  K. Shepherd,et al.  Is conservation agriculture ‘climate-smart’ for maize farmers in the highlands of Tanzania? , 2016, Nutrient Cycling in Agroecosystems.

[13]  S. Akroush Predicted Willingness of Farmers to Adopt Water Harvesting Technologies: A Case Study from the Jordanian Badia (Jordan) , 2016 .

[14]  M. Rounsevell,et al.  Identifying the Factors That Influence Farmer Participation in Environmental Management Practices in Switzerland , 2014 .

[15]  D. Pannell,et al.  The farm-level economics of conservation agriculture for resource-poor farmers , 2014 .

[16]  W. Mbungu,et al.  Adoption and Scaling-Up of Conservation Agriculture in Tanzania: Case of Arusha and Dodoma Regions , 2014 .

[17]  R. Kangalawe,et al.  Climate Change, Adaptive Strategies and Rural Livelihoods in Semiarid Tanzania , 2013 .

[18]  J. Perfect,et al.  Evidence-based scaling-up of evergreen agriculture for increasing crop productivity, fodder supply and resilience of the maize-mixed and agro-pastoral farming systems in Tanzania and Malawi , 2012 .

[19]  C. Valdivia,et al.  Between Forestry and Farming: Policy and Environmental Implications of the Barriers to Agroforestry Adoption , 2012 .

[20]  F. Simtowe Determinants of Agricultural Technology adoption: the Case of Improved Pigeonpea Varieties in Tanzania , 2011 .

[21]  J. Rockström,et al.  The effect of system innovations on water productivity in subsistence rainfed agricultural systems in semi-arid Tanzania , 2011 .

[22]  Gilvan C. Souza,et al.  A Profit-Maximizing Approach to Disposition Decisions for Product Returns , 2011, Decis. Sci..

[23]  Geoff Kuehne,et al.  ADOPT: a tool for predicting adoption of agricultural innovations , 2011 .

[24]  A. Haynie,et al.  An expected profit model for monetizing fishing location choices , 2010 .

[25]  F. Armah,et al.  Technology adoption in small-scale agriculture , 2010 .

[26]  O. Ajayi,et al.  Labour inputs and financial profitability of conventional and agroforestry-based soil fertility management practices in Zambia , 2009 .

[27]  Shibu Jose,et al.  Agroforestry for ecosystem services and environmental benefits: an overview , 2009, Agroforestry Systems.

[28]  M. Cardelle-Elawar,et al.  Factors that affect decision making: gender and age differences , 2007 .

[29]  G. Marshall,et al.  Understanding and promoting adoption of conservation practices by rural landholders , 2006 .

[30]  O. Oenema,et al.  The long-term effects of a gliricidia-maize intercropping system in Southern Malawi, on gliricidia and maize yields, and soil properties , 2006 .

[31]  K. Giller,et al.  Popular myths around soil fertility management in sub-Saharan Africa , 2006 .

[32]  Hans-Peter Bader,et al.  Dynamic modelling of resource management for farming systems , 2005 .

[33]  M. Zeller,et al.  Improved tree fallows in smallholder maize production in Zambia: do initial testers adopt the technology? , 2005, Agroforestry Systems.

[34]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[35]  S. Franzel,et al.  Who is using the new technology? The association of wealth status and gender with the planting of improved tree fallows in Eastern Province, Zambia , 2004 .

[36]  J. Alavalapati,et al.  Agroforestry adoption in southern Malawi: the case of mixed intercropping of Gliricidia sepium and maize , 2003 .

[37]  P. Sánchez,et al.  Soil Fertility and Hunger in Africa , 2002, Science.

[38]  David J. Pannell,et al.  The impact of agricultural extension on adoption and diffusion of lupins as a new crop in Western Australia , 2000 .

[39]  S. Franzel,et al.  Sesbania sesban improved fallows in eastern Zambia: Their inception, development and farmer enthusiasm , 1999, Agroforestry Systems.

[40]  S. Franzel Socioeconomic factors affecting the adoption potential of improved tree fallows in Africa , 1999, Agroforestry Systems.

[41]  David J. Pannell,et al.  A conceptual framework of adoption of an agricultural innovation , 1999 .

[42]  John C. Bernard,et al.  Methodologies for ex ante projections of adoption rates for agbiotech products: Lessons learned from rBST , 1999 .

[43]  A. Adesina,et al.  Policy and competitiveness of agroforestry-based technologies for maize production in Cameroon: An application of policy analysis matrix , 1998 .

[44]  J. Dearing,et al.  An Exploratory Tool for Predicting Adoption Decisions , 1994 .

[45]  A. Roberts,et al.  The value of focus-group research in targeting communication strategies: an immunization case study. , 1994, Health transition review : the cultural, social, and behavioural determinants of health.

[46]  F. Ellis,et al.  Peasant Economics: Farm Households and Agrarian Development , 1989 .

[47]  R. Pope Expected Profit, Price Change, and Risk Aversion , 1982 .

[48]  R. Jensen,et al.  Adoption and diffusion of an innovation of uncertain profitability , 1982 .

[49]  G. O'Mara,et al.  Farm size and the diffusion of green revolution technology ; On information and innovation diffusion : a bayesian approach , 1982 .

[50]  E. Folch-Lyon,et al.  Conducting focus group sessions. , 1981, Studies in family planning.

[51]  R. Dixon,et al.  Hybrid Corn Revisited , 1980 .

[52]  E. Rogers Diffusion of Innovations , 1964 .

[53]  G. Kuehne,et al.  Quantifying the value of adopting a post-rice legume crop to intensify mixed smallholder farms in Southeast Asia , 2020 .

[54]  E. K. Pedersen UNIT FACTORS AFFECTING THE ADOPTION OF IMPROVED BANANA TECHNOLOGIES IN NORTHERN TANZANIA , 2014 .

[55]  H. Shehu,et al.  Factors Influencing Adoption of Agro-Forestry among Smallholder Farmers in Toungo, Southeastern, Adamawa State, Nigeria , 2013 .

[56]  G. Kaine,et al.  Identifying potential adopters of an agricultural innovation , 2011 .

[57]  J. Lwelamira,et al.  Adoption of improved agricultural technologies for Irish potatoes (Solanum tuberosum) among farmers in Mbeya Rural district, Tanzania: A case of Ilungu ward , 2010 .

[58]  G. Tembo,et al.  Household Level Financial Incentives to Adoption of Conservation Agricultural Technologies in Africa , 2004 .

[59]  A. Adesina Factors affecting the adoption of fertilizers by rice farmers in Côte d'Ivoire , 2004, Nutrient Cycling in Agroecosystems.

[60]  E. A. Lazaro,et al.  Adoption of Rainwater Harvesting Technologies ' by Farmers in Tanzania , 2022 .