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Determinants of adoption of climate-smart push-pull technology for enhanced food security through integrated pest management in eastern Africa

Food Security volume 7, pages 709–724 (2015)Cite this article

Abstract

Food security attainment in Africa has been hindered by poor yields of cereals that serve both as staple and cash crops for the majority of smallholder farmers. Among the various constraints responsible for lower yields are the parasitic weed Striga, and Stemborer pests whose control has remained a challenge. The International Centre of Insect Physiology and Ecology (icipe) with partners developed a novel conservation agricultural technology termed ‘push-pull’, based on companion cropping that effectively controls both constraints simultaneously. However, the effects of climate change threatened its expansion into drier areas where Striga is rapidly spreading. Further adaptation of the conventional (original) push-pull technology was thus achieved through identification and incorporation of drought tolerant companion crops, and the procedure termed ‘climate-smart’ push-pull technology. With maximum adoption of the adapted technology, food security in the drier agro-ecologies would be enhanced through increased cereal yields. Adoption, however, depends on how well technology dissemination is implemented. The objective of this study was to quantify the potential adoption and impact of climate-smart push-pull technology ex ante in order to plan for its wide scale dissemination. Using a sample of 898 respondents (360 in Kenya, 240 in Tanzania, 298 in Ethiopia), multinomial logit and marginal rate of return (MRR) methods were used to analyze the findings of the ex ante baseline survey. These showed a high potential for adoption of climate-smart push-pull as 87.8 % of the overall sample were willing to adopt; 92.1 % in Tanzania, 88.6 % in Ethiopia and 84.3 % in Kenya. Gender, perceptions of Striga severity, technology awareness and input market access were the most likely factors that would positively influence the decision to adopt (marginal effects 0.060, 0.010, 0.042, and 0.738 respectively). The MRR was 109.2 % for sorghum and 143.4 % for maize, implying an expected positive impact to the community should they adopt the technology.

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Notes

  1. Annual adoption rate here refers to the number of farmers adopting push-pull per year out of the number of farmers trained in the technology.

  2. 1 acre = 0.4 hectares

  3. Tropical livestock unit (TLU) computed as (0.7 for cow + 0.5 for Heifer + 0.3 for calf +0.1 for goat + 0.1 for sheep + 0.01 for chicken + 0.2 for Pigs) FAO (1986)

References

  • Adesina, A. A. (1996). Factors affecting the adoption of fertilizers by rice farmers in Cote d’Ivoire. Nutrient Cycling in Agro ecosystem, 46, 29–39.

    Article  Google Scholar 

  • Adesina, A. A., & Baidu-Forson, J. (1995). Farmers’ perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and guinea, West Africa. Journal of Agricultural Economics, 13, 1–9.

    Article  Google Scholar 

  • Adesina, A. A., Mbila, D., Nkamleub, G. B., & Endamana, D. (2000). Econometric analysis of the determinants of adoption of alley farming by farmers in the forest zone of southwest Cameroon Agriculture. Ecosystems and Environment, 80, 255–265.

    Article  Google Scholar 

  • Amudavi, D. M., Khan, Z. R., Wanyama, J. M., Midega, C. A. O., Pittchar, J., Hassanali, A., & Pickett, J. A. (2009a). Evaluation of farmers’ field days as a dissemination tool for push-pull technology in western kenya. Crop Protection, 28(3), 225–235.

    Article  Google Scholar 

  • Amudavi, D. M., Khan, Z. R., Wanyama, J. M., Midega, C. A. O., Pittchar, J., Nyangau, I. M., Hassanali, A., & Pickett, J. A. (2009b). Assessment of technical efficiency of farmer teachers in the uptake and dissemination of push-pull technology in western Kenya. Crop Protection, 28(11), 987–996.

    Article  Google Scholar 

  • CIMMYT, (1988). From agronomic data to farmer recommendations: An economics training manual. Completely revised edition. CIMMYT. Mexico, D. F., 79 pp.

  • Cook, S., Khan, Z. R., & Pickett, J. A. (2007). The use of push-pull strategies in integrated pest management. Annual Reviews Entomology, 52, 375–400.

    Article  CAS  Google Scholar 

  • D’Antoni, J. M., Mishra, A. K., Powell, R., & Martin, S. (2012). Farmers’ perception of precision technology: the case of Autosteer adoption by cotton farmers. Southern Agricultural Economics Association Annual Meeting, Birmingham, AL, February, 4–7, 2012.

    Google Scholar 

  • Daberkow, S. G., & McBride, W. D. (2003). Farm and operator characteristics affecting the awareness and adoption of precision agricultural technologies in the US. Precision Agriculture, 4, 163–177.

    Article  Google Scholar 

  • De Groote, H., Vanlauwe, B., Rutto, E., Odhiambo, G. D., Kanampiu, F., & Khan, Z. R. (2010). Economic analysis of different options in integrated pest and soil fertility management in maize systems of Western Kenya. Agricultural Economics, 41(5), 471–482.

    Article  Google Scholar 

  • Feder, G., Just, R. E., & Zilberman, D. (1985). Adoption of agricultural innovations in developing countries. A Survey. Economic Development and Cultural Change, 33(2), 255–298.

    Article  Google Scholar 

  • Fischler, M. (2010). Impact assessment of push-pull technology promoted by icipe and partners in eastern Africa. Full report; ISBN 92 9064 215 7. icipe Science Press.

  • Food and Agricultural Organisation (FAO) (1986). Trade Yearbook 1985. No. 39, Rome: FAO.

  • Food and Agricultural Organization (FAO) (2006). Food Security and Agricultural development in sub-Saharan Africa. Building a case for more public support. Working paper No. 01/E. Rome.

  • Greene, W. H. (2000). Econometric analysis (4th ed.). Upper Saddle River: Prentice-Hall.

    Google Scholar 

  • Harper, J. K., Rister, M. E., Mjelde, J. W., Drees, B. M., & Way, M. O. (1990). Factors influencing the adoption of insect management technology. American Journal of Agricultural Economics, 72(4), 997–1005.

    Article  Google Scholar 

  • Hassan, R. M., Onyango, R., & Rutto, J. K. (1994). Adoption patterns and performance of improved maize in Kenya. In R. M. Hassan (Ed.), Maize technology development and transfer: A GIS approach to research planning in Kenya (pp. 21–54). London: CAB International.

    Google Scholar 

  • Kanampiu, F., Friesen, D., & Gressel, J. (2002). CIMMYT unveils herbicide-coated maize seed technology for Striga control. Haustorium, 42(4), 1–3.

    Google Scholar 

  • Keelan, C., Thorne, F. S., Flanagan, P., Newman, C., & Mullins, E. (2009). Predicted willingness of Irish farmers to adopt GM technology. AgBioForum, 12(3&4), 394–403. Available at: http://www.agbioforum.org.

    Google Scholar 

  • Kfir, R., Overholt, W. A., Khan, Z. R., & Polaszek, A. (2002). Biology and management of economically important Lepidopteran cereal stemborers in africa. Annual Review Entomology, 47, 701–731.

    Article  CAS  Google Scholar 

  • Khan, Z. R., & Pickett, J. A. (2004). The ‘push-pull’ strategy for stemborer management: A case study in exploiting biodiversity and chemical ecology. In G. M. Gurr, S. D. Wratten, & M. A. Altieri (Eds.), Ecological engineering for pest management: Advances in habitat manipulation for arthropods (pp. 155–164). Wallingford: CABI Publishing.

    Google Scholar 

  • Khan, Z. R., Pickett, J. A., Wadhams, L. J., & Muyekho, F. (2001). Habitat management strategies for the control of cereal stemborers and Striga weed in maize in kenya. Insect Science Applications, 21(4), 375–380.

    Google Scholar 

  • Khan, Z. R., Amudavi, M. A., Midega, C. A. O., Wanyama, J. M., & Pickett, J. A. (2008a). Farmers perception of a ‘push-pull’ technology for control of cereal stemborers and Striga weed in Western Kenya. Crop protection, 27, 976–987.

    Article  Google Scholar 

  • Khan, Z. R., Midega, C. A. O., Amudavi, D. M., Hassanali, A., & Pickett, J. A. (2008b). On-farm evaluation of the ‘push–Pull’ technology for the control of stemborers and Striga weed on maize in western Kenya. Field Crops Research, 106(3), 224–233.

    Article  Google Scholar 

  • Khan, Z. R., Midega, C. A. O., Njuguna, E. M., Amudavi, D. M., Wanyama, J. M., & Pickett, J. A. (2008c). Economic performance of the push-pull technology for stemborer and Striga control in smallholder farming systems in western Kenya. Crop Protection, 27, 1084–1097.

    Article  Google Scholar 

  • Khan, Z. R., Midega, C. A. O., Pittchar, J. O., Murage, A. W., Birkett, M. A., Bruce, T. J. A., & Pickett, J. A. (2014). Achieving food security for one million sub-Saharan African poor through push-pull innovation by 2020. Philosophical Transactions of the Royal Society B., 369(1639), 20120284.

    Article  Google Scholar 

  • Langyintuo, A. S., & Mungoma, C. (2008). Effect of household wealth on the adoption of improved maize varieties in Zambia. Food Policy, 33(6), 550–559.

    Article  Google Scholar 

  • Läpple, D. & Kelley H. (2010). Understanding farmers’ uptake of organic farming. An application of the theory of planned behavior. The 84th annual conference of the Agricultural Economics Society, 29th to 31st March 2010, Edinburgh.

  • Matlon, P.J. (1994). Indigenous land use systems and investments in soil fertility in Burkina Faso. In: Bruce, J.W, Migot-Adholla, S.E. Ed., Searching for Land Tenure Security in Africa (pp. 41–69). Kendall/Hunt Publishing Company, Dubuque, Iowa, USA.

  • Mauceri, M., Alwang, J., Norton, G., & Barrera, V. (2005). Adoption of integrated pest management technologies: a case study of potato farmers in Carchi, Ecuador. AAEA annual meeting, providence, Rhode Island, July, 24–27, 2005.

    Google Scholar 

  • McNamara, K. T., Wetzstein, M. E., & Douce, G. K. (1991). Factors affecting peanut producer adoption of integrated pest management. Review of Agricultural Economics, 13, 129–139.

    Article  Google Scholar 

  • Midega, C. A. O., Khan, Z. R., Van den Berg, J., Ogol, C. K. P. O., Dippenaar-Schoeman, A. S., Pickett, J. A., & Wadhams, L. J. (2008). Response of ground dwelling arthropods to a ‘push-pull’ system and Bt-maize: spiders as an indicator group. Journal of Applied Entomology, 132, 248–254.

    Article  Google Scholar 

  • Midega, C. A. O., Khan, Z. R., Amudavi, D. M., Pittchar, J., & Pickett, J. A. (2010). Integrated management of Striga hermonthica and cereal stemborers in finger millet (Eleusine Coracana (l.) Gaertn.). Through Intercropping with Desmodium Intortum, International Journal of Pest Management, 56(2), 145–151.

    Google Scholar 

  • Midega, C. A. O., Salifu, D., Bruce, T. J., Pittchar, J., Pickett, J. A., & Khan, Z. R. (2014). Cumulative effects and economic benefits of intercropping maize with food legumes on Striga hermonthica infestation. Field Crops Research, 155, 144–152.

    Article  Google Scholar 

  • Midega C.A.O., Bruce T.J., Pittchar J., Murage A., Pickett J.A., & Khan Z.R., (2015). A new drought tolerant companion cropping system increases agricultural productivity in sub-Saharan Africa. Journal of Experimental Botany, (Submitted).

  • Miller, J. R., & Cowles, R. S. (1990). Stimulo-deterrent diversion: a concept and its possible application to onion maggot control. Journal of Chemical Ecology, 16(11), 3197–3212.

    Article  CAS  PubMed  Google Scholar 

  • Morgenstern, R.D. (1996). Does the provision of free technical information really influence firm behavior? Discussion paper 96–16, Resource for the future, Washington DC, USA.

  • Murage, A. W., Amudavi, D. M., Obare, G., Chianu, J., & Khan, Z. R. (2011). Determining smallholder farmers’ preferences for push-pull technology dissemination pathways in western Kenya. International Journal of Pest Management, 57(2), 133–145.

    Article  Google Scholar 

  • Murage, A. W., Obare, G., Chianu, J., Amudavi, D. M., Midega, C. A. O., Pickett, J. A., & Khan, Z. R. (2012). The effectiveness of dissemination pathways on adoption of “push-pull” technology in Western Kenya. Quarterly Journal of International Agriculture, 51(1), 51–71.

    Google Scholar 

  • Napier, T. L., & Napier, A. S. (1991). Perceptions of conservation compliance among farmers in a highly erodible area of Ohio. Soil Water Conservation., 48(3), 220–224.

    Google Scholar 

  • Napier, T., Carter, M. V., & Bryant, E. G. (1986). Local perceptions of reservoir impacts: A test of vested interests. Community Psychology, 14(1), 17–37.

    Article  Google Scholar 

  • Napier, T. L., Tucker, M., & McCarter, S. (2000). Adoption of conservation production systems in three Midwest watersheds. Journal of Soil & Water Conservation, 55(2), 123–134.

    Google Scholar 

  • Nerlove, M., & Press S. (1973).Univariate and Multivariate Log-Linear and Logistic Models. RAND-R1306-EDA/NIH, Santa Monica, 1973.

  • Palis, F. G., Morin, S., & Hossain, M. (2002). Social capital and diffusion of integrated pest management technology: a case study in central Luzon. Philippines, Paper Presented at the Social Research Conference, CIAT, Cali, Columbia, September, 11–14, 2002.

    Google Scholar 

  • Prokopy, L. S., Baumgart‐Getz, A., Klotthor‐Weinkauf, D., & Floress, K. (2008). Determinants of agricultural best management practice adoption: evidence from the literature. Journal of Soil and Water Conservation, 63(5), 300–311.

    Article  Google Scholar 

  • Roberts, R. K., English, B. C., Larson, J. A., Cochran, R. L., Goodman, W. R., Larkin, S. L., Marra, M. C., Martin, S. W., Shurley, W. D., & Reeves, J. M. (2004). Adoption of site‐specific information and variable‐rate technologies in cotton precision farming. Journal of Agricultural and Applied Economics, 36(1), 143–158.

    Google Scholar 

  • Rubas, D. (2004). Technology adoption: who is likely to adopt and how does the timing affect the benefits? PhD Dissertation, Texas, A&M University, http://ageco.tamu.edu/pdf_files/graduate/Rubas04b.pdf.

  • Tsanuo, M. K., Hassanali, A., Hooper, A. M., Khan, Z. R., Kaberia, F., Pickett, J. A., & Wadhams, L. (2003). IsoFlavanones from the Allelopathic aqueous root exudates of desmodium uncinatum. Phytochemistry, 64(1), 265–273.

    Article  CAS  PubMed  Google Scholar 

  • Useche, P., Barham B. & Foltz J. (2005). A Trait Specific Model of GM Crop Adoption among U.S. Corn Farmers in the Upper Midwest. American Agricultural Economics Association Annual Meeting, Providence, Rhode Island, July 24–27, 2005.

  • Zepeda, L. (1990). Predicting bovine Somatotropin use by California dairy farmers. Western Journal of Agricultural Economics, 15(1), 55–62.

    Google Scholar 

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Acknowledgments

The authors acknowledge the support of the European Union (EU) for financial support that facilitated data collection, Biovision Foundation for supporting dissemination of push-pull and all the enumerators, farmers and partners who participated in data collection.

Conflict of interest

The authors declare that we have no conflict of interest with the organization that sponsored the research work.

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Authors and Affiliations

  1. International Centre of Insect Physiology and Ecology (ICIPE), P.O. Box, 30772, Nairobi, Kenya

    A. W. Murage, C. A. O. Midega, J. O. Pittchar & Z. R. Khan

  2. Rothamsted Research, Harpenden, Herts, AL5 2JQ, UK

    J. A. Pickett

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  1. A. W. Murage
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  2. C. A. O. Midega
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  3. J. O. Pittchar
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  4. J. A. Pickett
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  5. Z. R. Khan
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Correspondence to A. W. Murage.

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Murage, A.W., Midega, C.A.O., Pittchar, J.O. et al. Determinants of adoption of climate-smart push-pull technology for enhanced food security through integrated pest management in eastern Africa. Food Sec. 7, 709–724 (2015). https://doi.org/10.1007/s12571-015-0454-9

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Keywords

  • Food security
  • Striga weeds
  • Stemborers
  • Push-pull
  • Technology adoption
  • adaptation
  • Economic benefits
  • Western Kenya