Potential impact of scaling adaptation strategies for drought stress: a case of drought-tolerant maize varieties in Tanzania

References

• Ajayi, O. C., Place, F., Kwesiga, F., & Mafongoya, P. (2007). World agroforestry center: Impacts of improved tree fallow technology in Zambia. In H. Waibel, & D. Zilberman (Eds.), International research on natural resource management: Advances in impact assessment FAO and CABI.
   Google Scholar
• Alene, A. D., Menkir, A., Ajala, S. O., Badu-Apraku, B., Olanrewaju, A. S., Manyong, V. M., & Ndiaye, A. (2009). The economic and poverty impacts of maize research in West and Central Africa. Agricultural Economics, 40(5), 535–550. https://doi.org/10.1111/j.1574-0862.2009.00396.x
   Web of Science ®Google Scholar
• Alston, J. M., Norton, G. W., & Pardey, A. F. P. G. (1995). Science under scarcity: Principles and practice for agricultural research evaluation. Priority Setting Cornell University Press.
   Google Scholar
• Amondo, E., Simtowe, F., Rahut, D. B., & Erenstein, O. (2019). Productivity and production risk effects of adopting drought-tolerant maize varieties in Zambia. International Journal of Climate Change Strategies and Management, 11(4), 570–591. https://doi.org/10.1108/IJCCSM-03-2018-0024. and revention. Baltimore: Johns Hopkins University Press.
   PubMed Web of Science ®Google Scholar
• Atube, F., Malinga, G. M., Nyeko, M., Okello, D. M., Alarakol, S. P., & Okello-Uma, I. (2021). Determinants of smallholder farmers’ adaptation strategies to the effects of climate change: Evidence from northern Uganda. Agriculture & Food Security, 10), https://doi.org/10.1186/s40066-020-00279-1
   Google Scholar
• Benin, S., & You, L. (2007). Benefit–cost analysis of Uganda’s clonal coffee replanting program: An ex-ante analysis. Ifpri discussion paper 744. IFPRI, Washington, D.C., USA.
   Google Scholar
• Bohn, A., Byerlee, D., & Maredia, M. K. (1997). Investment in wheat improvement in developing countries. In M. K. Maredia, & B. Derek (Eds.), Cimmyt research report CIMMYT.
   Google Scholar
• Bokonon-Ganta, A. H., De Groote, H., & Neuenschwander, P. (2002). Socioeconomic impact of biological control of mango mealybug in Benin. Agriculture, Ecosystems & Environment, 93(1-3), 367–378. https://doi.org/10.1016/S0167-8809(01)00337-1
   Web of Science ®Google Scholar
• CIMMYT. (2017). Progress report for the Stress Tolerant Maize in mTMA) project: Annual report submitted to the BMGF.
   Google Scholar
• Coulibaly, O., Manyong, V. M., Yaninek, S., Hanna, R., Sanginga, P., Endamana, D., Adesina, A., Toko, M., & Neuenschwander, P. (2004). Economic impact assessment of classical biological control of cassava green mite in West Africa. Mimeo, IITA, Cotonou, Benin Republic.
   Google Scholar
• Degaldo, C. (1997). The role smallholder income generation from agriculture in Sub-Sahara Africa. In achieving food security in Southern Africa: New challenges, New opportunities. International Food Policy Research Institute.
   Google Scholar
• De Pinto, A., Bryan, E., Ringler, C., & Cenacchi, N. (2019). Adapting the global food system to new climate realities: Guiding principles and priorities. GCA. Available online at www.gca.org.
   Google Scholar
• Diagne, A., & Demont, M. (2007). Taking a new look at empirical models of adoption: Average treatment effect estimation of adoption rates and their determinants. Agricultural Economics, 37(2-3), 201–210. https://doi.org/10.1111/j.1574-0862.2007.00266.x
   Web of Science ®Google Scholar
• Dontsop, N. M. P., Diagne, A., Okoruwa, O.V., Ojehomon, V., & Manyong, V. (2013). Estimating the Actual and Potential Adoption Rates and Determinants of NERICA Rice Varieties in Nigeria. Journal of Crop Improvement, 27(5s), 561–585. https://doi.org/10.1080/15427528.2013.811709
   Google Scholar
• Fadina, A. M. R., & Dominique, B. (2018). Farmers’ adaptation strategies to climate change and their implications in the Zou department of south Benin. Environments, 5(1), 15. https://doi.org/10.3390/environments5010015
   Web of Science ®Google Scholar
• FAOSTAT. (2017). Agriculture database Available at: http:/appsfaoorg/page/collections?subset=agriculture. Accessed7 February 2020.
   Google Scholar
• Fisher, M., Abate, T., Lunduka, R. W., Asnake, W., Alemayehu, Y., & Madulu, R. B. (2015). Drought tolerant maize for farmer adaptation to drought in sub-Saharan Africa: Determinants of adoption in eastern and Southern Africa. Climatic Change, 133(2), 283–299. https://doi.org/10.1007/s10584-015-1459-2
   Web of Science ®Google Scholar
• Gatzweiler, F., Reichhuber, A., & Hein, L. (2007). Why financial incentives can destroy economically valuable biodiversity in Ethiopia Center for Development Research, Universität Bonn, Bonn.
   Google Scholar
• Gbegbelegbe, S., Chung, U., Shiferaw, B., SMsangi, S., & Tesfaye, K. (2014). Quantifying the impact of weather extremes on global food security: A spatial bio-economic approach. Weather and Climate Extremes, https://doi.org/10.1016/j.wace.2014.05.005
   Google Scholar
• Hareau, G. G., Mills, B. F., & Norton, G. W. (2006). The potential benefits of herbicide-resistant transgenic rice in Uruguay: Lessons for small developing countries. Food Policy, 31(2), 162–179. https://doi.org/10.1016/j.foodpol.2005.10.005
   Web of Science ®Google Scholar
• IPCC/Intergovernmental Panel on Climate Change. (2018). Summary for policymakers. In V. Masson-Delmotte, P. Zhai, H.-O. Pörtner, D. Roberts, J. Skea, P. R. Shukla, A. Pirani, W. Moufouma-Okia, C. Péan, R. Pidcock, S. Connors, J. B. R. Matthews, Y. Chen, X. Zhou, M. I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, & T. Waterfield (Eds.), Global warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. World Meteorological Organization.
   Google Scholar
• Kabubo-Mariara, J., & Mulwa, R. (2019). Adaptation to climate change and climate variability and its implications for household food security in Kenya. Food Security, 11(6), 1289–1304. https://doi.org/10.1007/s12571-019-00965-4
   Web of Science ®Google Scholar
• Kansiime, M. K., Njunge, R., Okuku, I., Baars, E., Alokit, C., Duah, S., Gakuo, S., Karanja, L., Mchana, A., Mibei, H., Musebe, R., Romney, D., Rware, H., Silvestri, S., Sones, D., & Watiti, J. (2022). Bringing sustainable agricultural intensification practices and technologies to scale through campaign-based extension approaches: lessons from Africa Soil Health Consortium. International Journal of Agricultural Sustainability, 20(5), 743–757. https://doi.org/10.1080/14735903.2021.1976495
   Web of Science ®Google Scholar
• Kassie, M., Marenya, P., Tessema, Y., Jaleta, M., Zeng, D., Erenstein, O., & Rahut, D. (2017). Measuring farm and market level economic impacts of improved maize production technologies in Ethiopia: Evidence from panel data. Journal of Agricultural Economics, https://doi.org/10.1111/1477-9552.12221
   PubMed Web of Science ®Google Scholar
• Kate, K., & Laird, S. (2000). The Commercial use of biodiversity Access to genetic resources and benefit-sharing. Earthscan.
   Google Scholar
• Katengeza, S. P., Holden, S. T., & Lunduka, R. W. (2019). Adoption of drought tolerant maize varieties under rainfall stress in Malawi. Journal of Agricultural Economics, 70(1), 198–214. https://doi.org/10.1111/1477-9552.12283
   Web of Science ®Google Scholar
• Kostandini, G., La Rovere, R., & Abdoulaye, T. (2013). Potential impacts of increasing average yields and reducing maize yield variability in Africa. Food Policy, 43(2013), 213–226. https://doi.org/10.1016/j.foodpol.2013.09.007
   Google Scholar
• La Rovere, R. K., Kostandini, G., Abdoulaye, T., Dixon, J., Mwangi, W., Guo, Z., & Banziger, M. (2010). Potential impact of investments in drought tolerant maize in Africa. CIMMYT. 38.
   Google Scholar
• Macharia, I., Löhr, B., & De Groote, H. (2005). Assessing the potential impact of biological control of Plutella xylostella (diamondback moth) in cabbage production in Kenya. Crop Protection, 24(11), 981–989. https://doi.org/10.1016/j.cropro.2005.02.005
   Web of Science ®Google Scholar
• Mairura, F. S., Musafiri, C. M., Kiboi, M. N., Macharia, J. M., Ng'etich, O. K., Shisanya, C. A., Okeyo, J. M., Mugendi, D. N., Okwuosa, E. A., & Ngetich, F. K. (2021). Determinants of farmers’ perceptions of climate variability, mitigation, and adaptation strategies in the central highlands of Kenya. Weather and Climate Extremes, 34, 100374. https://doi.org/10.1016/j.wace.2021.100374
   Web of Science ®Google Scholar
• Marenya, P. P., Erenstein, O., Prasanna, B., Makumbi, D., MacDonald, J., & Beyene, J. (2018). Maize lethal necrosis disease: evaluating agronomic and genetic control strategies for Ethiopia and Kenya. Agricultural Systems, 162, 220–228. https://doi.org/10.1016/j.agsy.2018.01.016
   Web of Science ®Google Scholar
• Nord, A., Bekunda, M., McCormack, C., & Snapp, S. (2021). Barriers to sustainable intensification: overlooked disconnects between agricultural extension and farmer practice in maize-legume cropping systems in Tanzania. International Journal of Agricultural Sustainability, doi:10.1080/14735903.2021.1961416
   Web of Science ®Google Scholar
• Ochieng, J., Afari-Sefa, V., Muthoni, F., Kansiime, M., Hoeschle-Zeledon, I., Bekunda, M., & Thomas, D. (2021). Adoption of sustainable agricultural technologies for vegetable production in rural Tanzania: trade-offs, complementarities and diffusion. International Journal of Agricultural Sustainability, doi:10.1080/14735903.2021.1943235
   Web of Science ®Google Scholar
• Pachico, D. (1998). Conceptual framework for natural resource management research and basic methodological issues in impact assessment. Paper presented at the international workshop, assessing the impact of research in natural resource management. Nairobi, Kenya.
   Google Scholar
• Pardey, P. G., Alston, J., James, J., Glewwe, P., Binenbaum, E., Hurley, T., & Wood, S. (2007). Science, technology and skills background paper for the world development report 2008, agriculture for development. World Bank.
   Google Scholar
• Pauw, P., Thurlow, J., & van Seventer, D. (2010). Droughts and floods in Malawi. In IFPRI Discussion Paper 00962. International Food Policy Research Institute.
   Google Scholar
• Seleiman, M. F., Al-Suhaibani, N., Ali, N., Akmal, M., Alotaibi, M., Refay, Y., Dindaroglu, T., Abdul-Wajid, H. H., & Battaglia, M. L. (2021). Drought stress impacts on plants and different approaches to alleviate Its adverse effects. Plants, 10(2), 259. https://doi.org/10.3390/plants10020259
   Google Scholar
• Simtowe, F., Amondo, E., Marenya, P., Rahut, D., Sonder, K., & Erenstein, O. (2019b). Impacts of drought-tolerant maize varieties on productivity, risk, and resource use: Evidence from Uganda. Land Use Policy, 88, 104091. https://doi.org/10.1016/j.landusepol.2019.104091
   PubMed Web of Science ®Google Scholar
• Simtowe, F., Makumbi, D., Worku, M., Mawia, H., & Rahut, B. D. (2021). Scalability of Adaptation strategies to drought stress: The case of drought tolerant maize varieties in Kenya. International Journal of Agricultural Sustainability, 19(1), 91–105. https://doi.org/10.1080/14735903.2020.1823699
   Web of Science ®Google Scholar
• Simtowe, F., Marenya, P., Amondo, E., Ragasa, M., Rahut, D., & Erenstein, O. (2019a). Heterogeneous seed access and information exposure: Implications for the adoption of drought-tolerant maize varieties in Uganda. Agricultural and Food Economics, 7(15), https://doi.org/10.1186/s40100-019-0135-7
   Google Scholar
• Takahashi, K., Muraoka, R., & Otsuka, K. (2020). Technology adoption, impact, and extension in developing countries’ agriculture: a review of the recent literature. Agricultural Economics, 51(1), 31–45. https://doi.org/10.1111/agec.12539
   Web of Science ®Google Scholar
• USAID. (2017). Literature Review: Scaling Agricultural Technologies and Innovation Diffusion MSI and dTS http://pdf.usaid.gov/pdf_docs/pa00kfqg.pdf.
   Google Scholar
• Wilson, R. T., & Lewis, J. (2015). The maize value chain in Tanzania. A Report by the Southern Highlands Food Systems Program. Food and Agriculture Organisation of the United Nations. [Online] Available at: http://www.saiia.org.za/value-chainsin-southern-africa/1055-008-tanzania-maize.
   Google Scholar
• World Bank. (2011). Agriculture for inclusive growth in Tanzania: Report prepared with financial support from the multi-donor diagnostic facility for shared growth funded by France, Germany, The Netherlands, Sweden, Switzerland, and the United Kingdom.
   Google Scholar
• Wossen, T., Abdoulaye, T., Alene, A., Feleke, S., Menkir, A., & Manyong, V. (2017). Measuring the impacts of adaptation strategies to drought stress: The case of drought tolerant maize varieties. Journal of Environmental Management, 203, 106–113. https://doi.org/10.1016/j.jenvman.2017.06.058
   PubMed Web of Science ®Google Scholar
• Yamano, T., Luz, M., Habib, A., & Kumar, S. (2018). Neighbors follow early adopters under stress: Panel data analysis of submergence-tolerant rice in northern Bangladesh. Agricultural Economics, 49(3), 313–323. https://doi.org/10.1111/agec.12418
   Web of Science ®Google Scholar
• Yorobe, J. M., Ali, J., Pede, V. O., Rejesus, R. M., Velarde, O. P., & Wang, H. (2016). Yield and income effects of rice varieties with tolerance of multiple abiotic stresses: the case of green super rice (GSR) and flooding in the Philippines. Agricultural Economics, 47(3), 261–271. https://doi.org/10.1111/agec.12227
   Web of Science ®Google Scholar
• Zeng, D., Alwang, J., Norton, G. W., Shiferaw, B., Jaleta, M., & Yirga, C. (2015). Ex post impacts of improved maize varieties on poverty in rural Ethiopia. Agricultural Economics, 46(4), 515–526. doi:10.1111/agec.12178
   Web of Science ®Google Scholar