Science and Technology Backyard model: implications for sustainable agriculture in Africa

Xiaoqiang JIAO, Derara Sori FEYISA, Jasper KANOMANYANGA, Ngula David MUTTENDANGO, Shingirai MUDARE, Amadou NDIAYE, Bilisuma KABETO, Felix Dapare DAKORA, Fusuo ZHANG

PDF(612 KB)
PDF(612 KB)
Front. Agr. Sci. Eng. ›› 2020, Vol. 7 ›› Issue (4) : 390-400. DOI: 10.15302/J-FASE-2020360
REVIEW
REVIEW

Science and Technology Backyard model: implications for sustainable agriculture in Africa

Author information +
History +

Abstract

Sustainable food production to feed the growing population in Africa remains a major challenge. Africa has 64% of the global arable land but produces less than 10% of its food locally due to its inherently low soil nutrient concentrations. Poor soil fertility and a lack of fertilizer use are the major constraints to increasing crop yields in Africa. On average only about 8.8 kg NPK fertilizer is applied per hectare by African smallholder farmers. There is therefore considerable potential for increasing food production through sustainable intensification of the cropping systems. The low crop yields in Africa are also partly due to limited farmer access to modern agronomic techniques, including improved crop varieties, a lack of financial resources, and the absence of mechanisms for dissemination of information to smallholders. This study analyzed the Science and Technology Backyards (STBs) model and investigated its use for the transformation of agriculture in Africa. Some key lessons for sustainable crop intensification in Africa can be found from analysis of the STB model which is well established in China. These include (1) scientist-farmer engagement to develop adaptive and innovative technology for sustainable crop production, (2) dissemination of technology by empowering smallholders, especially leading farmers, and (3) the development of an open platform for multiple resource involvement rather than relying on a single mechanism. This review evaluates the benefits of the STB model used in China for adoption to increase agricultural productivity in Africa, with a perspective on sustainable crop intensification on the continent.

Keywords

sustainable agriculture / Africa / smallholder / Science and Technology Backyards

Cite this article

Download citation ▾
Xiaoqiang JIAO, Derara Sori FEYISA, Jasper KANOMANYANGA, Ngula David MUTTENDANGO, Shingirai MUDARE, Amadou NDIAYE, Bilisuma KABETO, Felix Dapare DAKORA, Fusuo ZHANG. Science and Technology Backyard model: implications for sustainable agriculture in Africa. Front. Agr. Sci. Eng., 2020, 7(4): 390‒400 https://doi.org/10.15302/J-FASE-2020360

References

[1]
Food and Agriculture Organization of the United Nations (FAO). FAOSTAT database: agriculture production. Rome: FAO, 2019
[2]
Lynd L R, Woods J. Perspective: a new hope for Africa. Nature, 2011, 474(7352): S20–S21
CrossRef Pubmed Google scholar
[3]
Sanchez P A. En route to plentiful food production in Africa. Nature Plants, 2015, 1(1): 14014
CrossRef Pubmed Google scholar
[4]
Sheahan M, Barrett C B. Ten striking facts about agricultural input use in sub-Saharan Africa. Food Policy, 2017, 67(C): 12–25
CrossRef Pubmed Google scholar
[5]
Henao J, Baanante C. Agricultural Production and Soil Nutrient Mining in Africa Implications for Resource Conservation and Policy Development: Summary An International Center for Soil Fertility and Agricultural Development. IFDC, 2006
[6]
Holden S T. Fertilizer and sustainable intensification in sub-Saharan Africa. Global Food Security, 2018, 18: 20–26
CrossRef Google scholar
[7]
Vitousek P M, Naylor R, Crews T, David M B, Drinkwater L E, Holland E, Johnes P J, Katzenberger J, Martinelli L A, Matson P A, Nziguheba G, Ojima D, Palm C A, Robertson G P, Sanchez P A, Townsend A R, Zhang F S. Nutrient imbalances in agricultural development. Science, 2009, 324(5934): 1519–1520
CrossRef Pubmed Google scholar
[8]
Jayne T S, Snapp S, Place F, Sitko N J. Sustainable agricultural intensification in an era of rural transformation in Africa. Global Food Security, 2019, 20: 105–113
CrossRef Google scholar
[9]
Holden S T, Quiggin J. Climate risk and state-contingent technology adoption: shocks, drought tolerance and preferences. European Review of Agriculture Economics, 2017, 44(2): 285–308
[10]
Burke W J, Jayne T S, Black J R. Factors explaining the low and variable profitability of fertilizer application to maize in Zambia. Agricultural Economics, 2017, 48(1): 115–126
CrossRef Google scholar
[11]
Adjognon S G, Liverpool-Tasie L S O, Reardon T A. Agricultural input credit in sub-Saharan Africa: telling myth from facts. Food Policy, 2017, 67: 93–105
CrossRef Pubmed Google scholar
[12]
Christiaensen L. Agriculture in Africa—telling myths from facts: a synthesis. Food Policy, 2017, 67: 1–11
CrossRef Pubmed Google scholar
[13]
Yang H S. Resource management, soil fertility and sustainable crop production: experiences of China. Agriculture, Ecosystems & Environment, 2006, 116(1–2): 27–33
CrossRef Google scholar
[14]
Li W H. Agro-ecological farming systems in China. UNESCO, 2001
[15]
Ragasa C, Mzungu D, Kaima E, Kazembe C, Kalagho K. Capacity and accountability in the agricultural extension system in Malawi: insights from a survey of service providers in 15 districts. IFPRI Discussion Papers, 2017, 2–10
[16]
Rudolf W, Pemsl D E, Waibel H. The farmer field school in Senegal: does training intensity affect diffusion of information? Journal of International Agricultural and Extension Education, 2008, 15(2): 47–60
[17]
Zhang W, Cao G, Li X, Zhang H, Wang C, Liu Q, Chen X, Cui Z, Shen J, Jiang R, Mi G, Miao Y, Zhang F, Dou Z. Closing yield gaps in China by empowering smallholder farmers. Nature, 2016, 537(7622): 671–674
CrossRef Pubmed Google scholar
[18]
Jiao X Q, Zhang H Y, Ma W Q, Wang C, Li X L, Zhang F S. Science and technology backyards: a novel approach to empower smallholder farmers for sustainable intensification of agriculture in China. Journal of Integrative Agriculture, 2019, 18(8): 1657–1666
CrossRef Google scholar
[19]
Snapp S. Quantifying Farmer Evaluation of Technologies: The Mother and Baby Trial Design. In: Bellon, M R, Reeves J, eds. Quantitative Analysis of Data from Participatory Methods in Plant Breeding. Mexico, DF: CIMMYT, 2002, 20–27
[20]
Tripp R, Wijeratne M, Piyadasa V H. What should we expect from farmer field schools? A Sri Lanka case study. World Development, 2005, 33(10): 1705–1720
CrossRef Google scholar
[21]
Waddington H, White H, Anderson J. Hugh Waddington and Howard White: farmer field schools—from agricultural extension to adult education. Food Security, 2014, 6: 757–758
[22]
Sones K R, Duveskog D, Minjauw B. Farmer Field Schools: The Kenyan Experience. Report of the Farmer Field School Stakeholders’ Forum Held 27th March 2003 at ILRI, Nairobi, Kenya, 2003, 1–58
[23]
Kabir H, Uphoff N. Results of disseminating the system of rice intensification with farmer field school methods in Northern Myanmar. Experimental Agriculture, 2007, 43(4): 463–476
CrossRef Google scholar
[24]
Toenniessen G, Adesina A, DeVries J. Building an alliance for a green revolution in Africa. Annals of the New York Academy of Sciences, 2008, 1136(1): 233–242
CrossRef Pubmed Google scholar
[25]
Lukuyu B, Place F, Franzel S, Kiptot E. Disseminating improved practices: are volunteer farmer trainers effective? Journal of Agricultural Education and Extension, 2012, 18(5): 525–540
CrossRef Google scholar
[26]
Kansiime M K, Watiti J, Mchana A, Jumah R, Musebe R, Rware H. Achieving scale of farmer reach with improved common bean technologies: the role of village-based advisors. Journal of Agricultural Education and Extension, 2018, 24(3): 215–232
CrossRef Google scholar
[27]
Priest D. Presentation to World Bank Meeting on Agriculture Innovation Systems. The Village-Based Agriculture Advisor: A New Model for Self-Employed Extension Workers by FIPS-Africa’s Areas of Operation Scale of Operations in Kenya, 2012
[28]
WHO Action—Developing Village-Based Advisors to Improve Food Security—Promotion of Food Security and Agriculture —Adult Men and Women. Global Database on the Implementation of Nutrition Action (GINA), 2012
[29]
Briese L G. Science Communication in Agriculture: The Role of the Trusted Adviser. Dissertation for the Doctoral Degree. Lincoln, USA: Plant Health Program, University of Nebraska, 2019
[30]
Bishaw Z, van Gaslel A J G. ICARDA’s seed-delivery approach in less favorable areas through village-based seed enterprises: conceptual and organizational issues. Journal of New Seeds, 2008, 9(1): 68–88
CrossRef Google scholar
[31]
Kiptot E, Franzel S. Voluntarism as an investment in human, social and financial capital: evidence from a farmer-to-farmer extension program in Kenya. Agriculture and Human Values, 2014, 31(2): 231–243
CrossRef Google scholar
[32]
Rusike J, Snapp S S, Twomlow S. Mother-Baby trial approach for developing soil water and fertility management technologies. Volume 2. Field Tested Practices in Participatory Research and Development International Potato Center (CIP-UPWARD), 2004
[33]
Snapp S S, Rohrbach D D, Simtowe F, Freeman H A. Sustainable soil management options for Malawi: can smallholder farmers grow more legumes? Agriculture, Ecosystems & Environment, 2002, 91(1–3): 159–174
CrossRef Google scholar
[34]
Grisley W, Shamambo M. An analysis of the adoption and diffusion of cariocabeans in Zambia resulting from an experimental distribution of seed. Experimental Agriculture, 1993, 29(3): 379–386
CrossRef Google scholar
[35]
Snapp S S, DeDecker J, Davis A S. Farmer participatory research advances sustainable agriculture: lessons from Michigan and Malawi. Agronomy Journal, 2019, 111(6): 2681–2691
CrossRef Google scholar
[36]
Witcombe J R, Joshi K D, Gyawali S, Musa A M, Johansen C, Virk D S, Sthapit B R. Participatory plant breeding is better described as highly client-oriented plant breeding. I. Four indicators of client-orientation in plant breeding. Experimental Agriculture, 2005, 41(3): 299–319
CrossRef Google scholar
[37]
Gandhi R, Veeraraghavan R, Toyama K, Ramprasad V. Digital Green: participatory video and mediated instruction for agricultural extension abstract. Information Technologies & International, 2010: 322
[38]
Lowder S K, Skoet J, Singh S. What do we really know about the number and distribution of farms and family farms in the world?Rome: Food and Agriculture Organization of the United Nations (FAO), 2014, 14–20
[39]
Larson D F, Muraoka R, Otsuka K. Why African rural development strategies must depend on small farms. Global Food Security, 2016, 10: 39–51
CrossRef Google scholar
[40]
Norse D, Ju X. Environmental costs of China’s food security. Agriculture, Ecosystems & Environment, 2015, 209(209): 5–14
CrossRef Google scholar
[41]
Reynolds T W, Waddington S R, Anderson C L, Chew A, True Z, Cullen A C. Environmental impacts and constraints associated with the production of major food crops in sub-Saharan Africa and South Asia. Food Security, 2015, 7(4): 795–822
CrossRef Google scholar
[42]
Cui Z, Zhang H, Chen X, Zhang C, Ma W, Huang C, Zhang W, Mi G, Miao Y, Li X, Gao Q, Yang J, Wang Z, Ye Y, Guo S, Lu J, Huang J, Lv S, Sun Y, Liu Y, Peng X, Ren J, Li S, Deng X, Shi X, Zhang Q, Yang Z, Tang L, Wei C, Jia L, Zhang J, He M, Tong Y, Tang Q, Zhong X, Liu Z, Cao N, Kou C, Ying H, Yin Y, Jiao X, Zhang Q, Fan M, Jiang R, Zhang F, Dou Z. Pursuing sustainable productivity with millions of smallholder farmers. Nature, 2018, 555(7696): 363–366
CrossRef Pubmed Google scholar
[43]
Chen G F, Cao H Z, Chen D D, Zhang L B, Zhao W L, Ma W Q, Jiang R F, Zhang H Y, Goulding K W T, Zhang F S. Developing sustainable summer maize production for smallholder farmers in the North China Plain: an agronomic diagnosis method. Journal of Integrative Agriculture, 2019, 18(8): 1667–1679
CrossRef Google scholar
[44]
Chen G F, Cao H Z, Liang J, Ma W Q, Guo L F, Zhang S H, Jiang R F, Zhang H Y, Glouding K W T, Zhang F S. Factors affecting nitrogen use efficiency and grain yield of summer maize on smallholder farms in the North China Plain. Sustainability, 2018, 10(2): 363
CrossRef Google scholar
[45]
Kristjanson P, Reid R S, Dickson N, Clark W C, Romney D, Puskur R, Macmillan S, Grace D. Linking international agricultural research knowledge with action for sustainable development. Proceedings of the National Academy of Sciences of the United States of America, 2009, 106(13): 5047–5052
CrossRef Pubmed Google scholar
[46]
Xia L, Lam S K, Chen D, Wang J, Tang Q, Yan X. Can knowledge-based N management produce more staple grain with lower greenhouse gas emission and reactive nitrogen pollution? A meta-analysis. Global Change Biology, 2017, 23(5): 1917–1925
CrossRef Pubmed Google scholar
[47]
McCown R L. Changing systems for supporting farmers’ decisions: problems, paradigms, and prospects. Agricultural Systems, 2002, 74(1): 179–220
CrossRef Google scholar
[48]
Clark W C, Tomich T P, van Noordwijk M, Guston D, Catacutan D, Dickson N M, McNie E. Boundary work for sustainable development: Natural resource management at the Consultative Group on International Agricultural Research (CGIAR). Proceedings of the National Academy of Sciences of the United States of America, 2016, 113(17): 4615–4622
CrossRef Pubmed Google scholar
[49]
Agarwal N, Grottke M, Mishra S, Brem A. A systematic literature review of constraint-based innovations: state of the art and future perspectives. IEEE Transactions on Engineering Management, 2017, 64(1): art562
CrossRef Google scholar
[50]
McIntosh B S, Seaton R A F, Jeffrey P. Tools to think with? Towards understanding the use of computer-based support tools in policy relevant research. Environmental Modelling & Software, 2007, 22(5): 640–648
CrossRef Google scholar
[51]
Kanter D R, Musumba M, Wood S L, Palm C, Antle J M, Balvanera P, Andelman S J. Evaluating agricultural trade-offs in the age of sustainable development. Agricultural Systems, 2016, 20(6): 73–88
[52]
van Kerkhoff L, Lebel L. Linking knowledge and action for sustainable development. Social Science Electronic Publishing, 2006, 31(1): 445–477
CrossRef Google scholar
[53]
MacMillan T, Benton T G. Agriculture: engage farmers in research. Nature, 2014, 509(7498): 25–27
CrossRef Pubmed Google scholar
[54]
Snapp S S, Dedecker J, Davis A S. Farmer participatory research advances sustainable agriculture: lessons from Michigan and Malawi. Agronomy Journal, 2019, 111(6): 2681–2691
CrossRef Google scholar
[55]
Vuillot C, Coron N, Calatayud F, Sirami C, Mathevet R, Gibon A. Ways of farming and ways of thinking: do farmers’ mental models of the landscape relate to their land management practices? Ecology and Society, 2016, 21(1): art35
CrossRef Pubmed Google scholar
[56]
Zhao P F, Cao G X, Zhao Y, Zhang H Y, Chen X P, Li X, Cui Z L. Training and organization programs increases maize yield and nitrogen-use efficiency in smallholder agriculture in China. Agronomy Journal, 2016, 108(5): 1944–1950
CrossRef Google scholar
[57]
Shen J B, Cui Z L, Miao Y X, Mi G H, Zhang H Y, Fan M S, Zhang C C, Jiang R F, Zhang W F, Li H G, Chen X P, Li X L, Zhang F S. Transforming agriculture in China: from solely high yield to both high yield and high resource use efficiency. Global Food Security, 2013, 2(1): 1–8
CrossRef Google scholar
[58]
Ju X T, Gu B J, Wu Y, Galloway J N. Reducing China’s fertilizer use by increasing farm size. Global Environmental Change, 2016, 41: 26–32
CrossRef Google scholar
[59]
Jia X P, Huang J K, Xiang C, Hou L K, Zhang F S, Chen X P, Cui Z L, Bergmann H. Farmer’s adoption of improved nitrogen management strategies in maize production in China: an experimental knowledge training. Journal of Integrative Agriculture, 2013, 12(2): 364–373
CrossRef Google scholar
[60]
Chianu J N, Chianu J N, Mairura F. Mineral fertilizers in the farming systems of sub-Saharan Africa. A review. Agronomy for Sustainable Development, 2012, 32(2): 545–566
CrossRef Google scholar
[61]
Holden S T, Shiferaw B A, Pender J. Policy Analysis for Sustainable Land Management and Food Security in Ethiopia: A Bioeconomic Model with Market Imperfections. Research Report 140. Washington DC: International Food Policy Research Institute, 2005

Acknowledgements

This work was supported by the China Scholarship Council (201913043), the Bill & Melinda Gates Foundation (OPP1209192), and the “Sino-Africa Friendship” China Government Scholarship (2019-1442).

Compliance with ethics guidelines

ƒXiaoqiang Jiao, Derara Sori Feyisa, Jasper Kanomanyanga, Ngula David Muttendango, Shingirai Mudare, Amadou Ndiaye, Bilisuma Kabeto, Felix Dapare Dakora, and Fusuo Zhang declare that they have no conflicts of interest or financial conflicts to disclose.ƒThis article is a review and does not contain any studies with human or animal subjects performed by any of the authors.

RIGHTS & PERMISSIONS

The Author(s) 2020. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
AI Summary AI Mindmap
PDF(612 KB)

Accesses

Citations

Detail

Sections
Recommended

/