Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-24T00:28:17.208Z Has data issue: false hasContentIssue false

Understanding system innovation adoption: A comparative analysis of integrated soil fertility management uptake in Tamale (Ghana) and Kakamega (Kenya)

Published online by Cambridge University Press:  02 October 2017

Ivan Solomon Adolwa
Affiliation:
Organic Plant Production and Agroecosystems Research in the Tropics and Subtropics, Steinstr. 19, Universität Kassel, D-37213 Witzenhausen, Germany
Stefan Schwarze*
Affiliation:
Department of Agricultural Economics and Rural Development, Georg-August-Universität Göttingen, Platz der Göttinger Sieben 5, D-37073 Göttingen, Germany
Boaz Waswa
Affiliation:
International Centre for Tropical Agriculture (CIAT), ICIPE Duduville Campus, Kasarani, P.O. Box 823-00621, Nairobi, Kenya
Andreas Buerkert
Affiliation:
Organic Plant Production and Agroecosystems Research in the Tropics and Subtropics, Steinstr. 19, Universität Kassel, D-37213 Witzenhausen, Germany
*
Author for correspondence: Stefan Schwarze, E-mail: [email protected]

Abstract

Sustainable intensification of African farming systems has been high on the agenda of research and development programs for decades. System innovations such as integrated soil fertility management (ISFM) and conservation agriculture have been proposed to tackle the complex challenges farmers face. In this study, we assess how different factors at the plot, farm and institutional level can influence the adoption of ISFM. We employed a stratified sampling approach to randomly select 285 and 300 farmers in Tamale, northern Ghana and Kakamega County, western Kenya, respectively. These two locations were selected to understand the underlying reasons for their divergent adoption levels. Ordinal regression models were used to identify determinants of adoption. In Tamale, adoption rates of ISFM are much lower than in Kakamega. Only 3% of the farmers fully adopted the recommended practices compared with 36% in Kakamega. The low availability of improved seeds is a major reason for the lower uptake of the complete ISFM paradigm in Tamale. The econometric analysis revealed that plot level variables such as soil carbon, soil texture, slope and plot area had a significant effect on the number of adopted ISFM components at both locations. Moreover, family labor availability is also an important factor. Other farm and household characteristics, such as off-farm occupation, livestock ownership, and membership in associations, matter for Kakamega only. Key policy recommendations include promotion of locally available organic resources and improved access to improved seeds in Tamale.

Type
Research Paper
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adolwa, IS, Okoth, PF, Mulwa, RM, Esilaba, AO, Mairura, FS and Nambiro, E (2012) Analysis of communication and dissemination channels influencing the adoption of integrated soil fertility management in western Kenya. The Journal of Agricultural Education and Extension 18(1), 7186.Google Scholar
Agricultural Sector Development Support Programme (2014) Household Baseline Survey Report: Kakamega County. Ministry of Agriculture, Livestock and Fisheries, Nairobi.Google Scholar
Aldana, U, Foltz, JD, Barham, BL and Useche, P (2011) Sequential adoption of package technologies: The dynamics of stacked trait corn adoption. American Journal of Agricultural Economics 93(1), 130143.Google Scholar
Barrios, E and Trejo, MT (2003) Implications of local soil knowledge for integrated soil management in Latin America. Geoderma 111, 217231.Google Scholar
Barrios, E, Delve, RJ, Bekunda, M, Mowo, J, Agunda, J, Ramisch, J, Trejo, MT and Thomas, RJ (2006) Indicators of soil quality: A south–south development of a methodological guide for linking local and technical knowledge. Geoderma 135, 248259.Google Scholar
Bationo, A, Lompo, F and Koala, S (1998) Research on nutrient flows and balances in West Africa: State-of-the-art. Agriculture, Ecosystems and Environment 71, 1935.Google Scholar
Bellwood-Howard, I, Häring, V, Karg, H, Roessler, R, Schlesinger, J and Shakya, M (2015) Characteristics of urban and peri-urban agriculture in West Africa: Results of an exploratory survey conducted in Tamale (Ghana) and Ouagadougou (Burkina Faso). International Water Management Institute (IWMI) Working Paper 163. International Water Management Institute, Colombo.Google Scholar
Braimoh, AK and Vlek, PLG (2006) Soil quality and other factors influencing maize yield in northern Ghana. Soil Use and Management 22(2), 165171.Google Scholar
Buerkert, A, Bationo, A and Dossa, K (2000) Mechanisms of residue mulch-induced cereal growth increases in West Africa. Soil Science Society of America Journal 64(1), 346358.Google Scholar
Chagomoka, T, Unger, S, Drescher, A, Glaser, R, Marschner, B and Schlesinger, J (2016) Food coping strategies in northern Ghana: A socio-spatial analysis along the urban–rural continuum. Agriculture and Food Security 5(1), 265280.Google Scholar
Corbeels, M, de Graaff, J, Ndah, TH, Penot, E, Baudron, F, Naudin, K, Andrieu, N, Chirat, G, Schuler, J, Nyagumbo, I, Rusinamhodzi, L, Traore, K, Mzoba, HD and Adolwa, IS (2014) Understanding the impact and adoption of conservation agriculture in Africa: A multi-scale analysis. Agriculture, Ecosystems and Environment 187, 155170.Google Scholar
Desbiez, A, Matthewsa, R, Tripathi, B and Ellis-Jones, J (2004) Perceptions and assessment of soil fertility by farmers in the mid-hills of Nepal. Agriculture, Ecosystems and Environment 103, 191206.Google Scholar
Flora, CB (2010) Food security in the context of energy and resource depletion: Sustainable agriculture in developing countries. Renewable Agriculture and Food Systems 25(02), 118128.Google Scholar
Giller, KE, Tittonell, P, Rufino, MC, van Wijk, MT, Zingore, S, Mapfumo, P, Adjei-Nsiah, S, Herrero, M, Chikowo, R, Corbeels, M, Rowe, EC, Baijukya, F, Mwijage, A, Smith, J, Yeboah, E, van der Burg, WJ, Sanogo, OM, Misiko, M, de Ridder, N, Karanja, S, Kaizzi, C, K'ungu, J, Mwale, M, Nwaga, D, Pacini, C and Vanlauwe, B (2011) Communicating complexity: Integrated assessment of trade-offs concerning soil fertility management within African farming systems to support innovation and development. Agricultural Systems 104(2), 191203.Google Scholar
Guteta, D and Abegaz, A (2016) Determinants of integrated soil fertility management adoption under annual cropping system in Arsamma watershed, southwestern Ethiopian Highlands. African Geographical Review 35(2), 95116.Google Scholar
Gyasi, EA, Fosu, M, Kranjac-Berisavljevic, G, Mensah, AM, Obeng, F, Yiran, GAB and Fuseini, I (2014) Building Urban Resilience: Assessing Urban and Peri-Urban Agriculture in Tamale, Ghana. United Nations Environment Programme, Nairobi.Google Scholar
Jahnke, HE (1982) Livestock Production Systems and Livestock Development in Tropical Africa. Kieler Wissenschaftsverlag Vauk, Kiel.Google Scholar
Janik, LJ, Skjemstad, JO and Merry, RH (1998) Can mid infrared diffuse reflectance analysis replace soil extractions? Australian Journal of Experimental Agriculture 38(7), 681696.Google Scholar
Jimenez, RR and Ladha, JK (1993) Automated elemental analysis: A rapid and reliable but expensive measurement of total carbon and nitrogen in plant and soil samples. Communications in Soil Science and Plant Analysis 24(15–16), 18971924.Google Scholar
Kihara, J, Bationo, A, Mugendi, DN, Martius, C and Vlek, PLG (2011) Conservation tillage, local organic resources and nitrogen fertilizer combinations affect maize productivity, soil structure and nutrient balances in semi-arid Kenya. Nutrient Cycling in Agroecosystems 90(2), 213225.Google Scholar
Kisinyo, PO, Othieno, CO, Gudu, SO, Okalebo, JR, Opala, PA, Ng'etich, WK, Nyambati, RO, Ouma, EO, Agalo, JJ, Kebeney, SJ, Too, EJ, Kisinyo, JA and Opile, WR (2014) Immediate and residual effects of lime and phosphorus fertilizer on soil acidity and maize production in western Kenya. Experimental Agriculture 50(1), 128143.Google Scholar
Long, JS and Freese, J (2001) Regression Models for Categorical Dependent Variables using Stata. Stata Press, College Station, Texas.Google Scholar
Mairura, FS, Mugendi, DN, Mwanje, JI, Ramisch, JJ, Mbugua, PK and Chianu, JN (2007) Integrating scientific and farmers’ evaluation of soil quality indicators in Central Kenya. Geoderma 139(1–2), 134143.Google Scholar
Mango, NAR (1999) Integrated soil fertility management in Siaya District, Kenya. Managing Africa's Soils 7, ii+28.Google Scholar
Marenya, PP and Barrett, CB (2007) Household-level determinants of adoption of improved natural resources management practices among smallholder farmers in western Kenya. Food Policy 32(4), 515536.Google Scholar
Mponela, P, Tamene, L, Ndengu, G, Magreta, R, Kihara, J and Mango, N (2016) Determinants of integrated soil fertility management technologies adoption by smallholder farmers in the Chinyanja Triangle of Southern Africa. Land Use Policy 59, 3848.Google Scholar
Mugwe, J, Mugendi, D, Mucheru-Muna, M, Merckx, R, Chianu, J and Vanlauwe, B (2009) Determinants of the decision to adopt integrated soil fertility management practices by smallholder farmers in the central highlands of Kenya. Experimental Agriculture 45(1), 6175.Google Scholar
Nkonya, EM, Koo, J, Marenya, P and Licker, R (2012) Land degradation: Land under pressure. In IFPRI (ed.). Global Food Policy Report 2011. IFPRI, Washington, DC, p. 6368.Google Scholar
Noltze, M, Schwarze, S and Qaim, M (2012) Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste. Agricultural Systems 108, 6473.Google Scholar
Odendo, M, Ojiem, J, Bationo, A and Mudeheri, M (2007) On-farm evaluation and scaling-up of soil fertility management technologies in western Kenya. Nutrient Cycling in Agroecosystems 76(2–3), 369381.Google Scholar
Odendo, M, Obare, G and Salasya, B (2009) Factors responsible for differences in uptake of integrated soil fertility management practices amongst smallholders in western Kenya. African Journal of Agricultural Research 4(11), 13031311.Google Scholar
Ogunlana, EA (2004) The technology adoption behavior of women farmers: The case of alley farming in Nigeria. Renewable Agriculture and Food Systems 19(1), 5765.Google Scholar
Okalebo, JR, Gathua, KW and Woomer, PL (1993) Laboratory Methods of Soil and Plant Analysis: A Working Manual. Tropical Soil Biology and Fertility Programme, Nairobi.Google Scholar
Pretty, J, Toulmin, C and Williams, S (2011) Sustainable intensification in African agriculture. International Journal of Agricultural Sustainability 9(1), 524.Google Scholar
Sanginga, N and Woomer, PL (2009) Integrated Soil Fertility Management in Africa: Principles, Practices and Developmental Process. TSBF-CIAT, Nairobi, Kenya.Google Scholar
Schlecht, E and Buerkert, A (2004) Organic inputs and farmers’ management strategies in millet fields of western Niger. Geoderma 121(3–4), 271289.Google Scholar
Schlecht, E, Buerkert, A, Tielkes, E and Bationo, A (2007) A critical analysis of challenges and opportunities for soil fertility restoration in Sudano-Sahelian West Africa. Nutrient Cycling in Agroecosystems 76(2–3), 109136.Google Scholar
Shepherd, KD and Walsh, MG (2002) Development of reflectance spectral libraries for characterization of soil properties. Soil Science Society of America Journal 66(3), 988998.Google Scholar
Terhoeven-Urselmans, T, Vagen, T-G, Spaargaren, O and Shepherd, KD (2010) Prediction of soil fertility properties from a globally distributed soil mid-infrared spectral library. Soil Science Society of America Journal 74(5), 17921799.Google Scholar
Tittonell, P, Vanlauwe, B, Leffelaar, PA, Rowe, EC and Giller, KE (2005) Exploring diversity in soil fertility management of smallholder farms in western Kenya. Agriculture, Ecosystems and Environment 110(3–4), 149165.Google Scholar
Tittonell, P, Misiko, M and Ekise, I (2008 a) Talking soil science with farmers. Leisa-Leusden 2(2), 1517.Google Scholar
Tittonell, P, Shepherd, K, Vanlauwe, B and Giller, K (2008 b) Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya: An application of classification and regression tree analysis. Agriculture, Ecosystems and Environment 123(1–3), 137150.Google Scholar
Vanlauwe, B, Tittonell, P and Mukalama, J (2007) Within-farm soil fertility gradients affect response of maize to fertiliser application in western Kenya. Nutrient Cycling in Agroecosystems 76(2–3), 171182.Google Scholar
Vanlauwe, B, Bationo, A, Chianu, J, Giller, KE, Merckx, R, Mokwunye, U, Ohiokpehai, O, Pypers, P, Tabo, R, Shepherd, KD, Smaling, PL, Woomer, PL and Sanginga, N (2010) Integrated soil fertility management: Operational definition and consequences for implementation and dissemination. Outlook on Agriculture 39(1), 1724.Google Scholar
Vanlauwe, B, Coyne, D, Gockowski, J, Hauser, S, Huising, J, Masso, C, Nziguheba, G, Schut, M and van Asten, P (2014) Sustainable intensification and the African smallholder farmer. Current Opinion in Environmental Sustainability 8, 1522.Google Scholar
Vanlauwe, B, Descheemaeker, K, Giller, KE, Huising, J, Merckx, R, Nziguheba, G, Wendt, J and Zingore, S (2015) Integrated soil fertility management in sub-Saharan Africa: Unravelling local adaptation. Soil 1(1), 491508.Google Scholar
Viscarra Rossel, RA, Walvoort, D, McBratney, AB, Janik, LJ and Skjemstad, JO (2006) Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 131(1–2), 5975.Google Scholar
Williams, R (2006) Generalized ordered logit/partial proportional odds models for ordinal dependent variables. The Stata Journal 6(1), 5882.Google Scholar
Wolfe, R and Gould, W (1998) Sg76: An approximate likelihood-ratio test for ordinal response models. Stata Technical Bulletin 42, 2427.Google Scholar
Wollni, M, Lee, DR and Thies, JE (2010) Conservation agriculture, organic marketing, and collective action in the Honduran hillsides. Agricultural Economics 41(3–4), 373384.Google Scholar