Farmers’ intentions to adopt Triple S for sweetpotato seed conservation

References

• Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26(9), 1113–1127. https://doi.org/10.1080/08870446.2011.613995
   PubMed Web of Science ®Google Scholar
• Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
   Google Scholar
• Ajzen, I., Czasch, C., & Flood, M. G. (2009). From intentions to behavior: Implementation intention, commitment, and conscientiousness. Journal of Applied Social Psychology, 39(6), 1356–1372. https://doi.org/10.1111/j.1559-1816.2009.00485.x
   Web of Science ®Google Scholar
• Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261. https://doi.org/10.1037/h0076477
   Web of Science ®Google Scholar
• Ali, A., & Yousuf, S. (2019). Social capital and entrepreneurial intention: Empirical evidence from rural community of Pakistan. Journal of Global Entrepreneurship Research, 9(1), 64. https://doi.org/10.1186/s40497-019-0193-z
   Web of Science ®Google Scholar
• Badstue, L., Eerdewijk, A. V., Danielsen, K., Hailemariam, M., & Mukewa, E. (2020). How local gender norms and intra-household dynamics shape women’s demand for labor-saving technologies: Insights from maize-based livelihoods in Ethiopia and Kenya. Gender, Technology and Development, 24(3), 341–361. https://doi.org/10.1080/09718524.2020.1830339
   Web of Science ®Google Scholar
• Buyinza, J., Nuberg, I., Muthuri, C., & Denton, M. D. (2022). Psychological factors influencing farmers’ intention to adopt agroforestry: A structural equation modeling approach. Journal of Sustainable Forestry, 39(6), 1–12.
   Google Scholar
• Cakirli Akyüz, N., & Theuvsen, L. (2020). The impact of behavioral drivers on adoption of sustainable agricultural practices: The case of organic farming in Turkey. Sustainability, 12(17), 6875. https://doi.org/10.3390/su12176875
   Web of Science ®Google Scholar
• Cavane, E. (2016). Farmers’ attitude and adoption of improved maize varieties and chemical fertilizers in Mozambique. Indian Research Journal of Extension Education, 11(1), 1–6.
   Google Scholar
• Cislaghi, B., & Heise, L. (2020). Gender norms and social norms: Differences, similarities and why they matter in prevention science. Sociology of Health & Illness, 42(2), 407–422. https://doi.org/10.1111/1467-9566.13008
   PubMed Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• DeBiasse, M. A., Bowen, D. J., Pagoto, S. L., Massaro, J. M., Istfan, N., & Quintiliani, L. M. (2017). Pilot and feasibility test of an implementation intention intervention to improve fruit and vegetable intake Among women with low socioeconomic status. Journal of Health Disparities Research and Practice, 10(2), 10.
   Google Scholar
• Diaz, I. I., Najjar, D., & Baruah, B. (2017). A review of gender norms, agency and the adoption of agricultural innovations. International Center for Agricultural Research in the Dry Areas (ICARDA). https://hdl.handle.net/20.500.11766/7667.
   Google Scholar
• Di Falco, S., & Bulte, E. (2013). The impact of kinship networks on the adoption of risk-mitigating strategies in Ethiopia. World Development, 43, 100–110. https://doi.org/10.1016/j.worlddev.2012.10.011
   Web of Science ®Google Scholar
• Garforth, C., Rehman, T., McKemey, K., Tranter, R., Cooke, R., Yates, C., Park, J., & Dorward, P. (2004). Improving the design of knowledge transfer strategies by understanding farmer attitudes and behaviour. Journal of Farm Management, 12(1), 17–32.
   Google Scholar
• Gibson, R. (2013). How sweet potato varieties are distributed in Uganda: Actors, constraints and opportunities. Food Security, 5(6), 781–791. https://doi.org/10.1007/s12571-013-0302-8
   Web of Science ®Google Scholar
• Gibson, R. W., Byamukama, E., Mpembe, I., Kayongo, J., & Mwanga, R. O. (2008). Working with farmer groups in Uganda to develop new sweet potato cultivars. Decentralisation and Building on Traditional Approaches.” Euphytica, 159(1), 217–228.
   Google Scholar
• Ha, T. M., Manevska-Tasevska, G., Jäck, O., Weih, M., & Hansson, H. (2023). Farmers’ intention towards intercropping adoption: The role of socioeconomic and behavioural drivers. International Journal of Agricultural Sustainability, 21(1), 2270222. https://doi.org/10.1080/14735903.2023.2270222
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis. In J. F. Hair (Ed.), In multivariate data analysis (pp. 785–785). Pearson Publication.
   Google Scholar
• Heck, S., Campos, H., Barker, I., Okello, J. J., Baral, A., Boy, E., Brown, L., & Birol, E. (2020). Resilient agri-food systems for nutrition amidst COVID-19: Evidence and lessons from food-based approaches to overcome micronutrient deficiency and rebuild livelihoods after crises. Food Security, 12(4), 823–830. https://doi.org/10.1007/s12571-020-01067-2
   PubMed Web of Science ®Google Scholar
• Hill, G. E., & Johnson, J. D. (2012). The vitamin A–redox hypothesis: A biochemical basis for honest signaling via carotenoid pigmentation. The American Naturalist, 180(5), E127–E150. https://doi.org/10.1086/667861
   PubMed Web of Science ®Google Scholar
• Hobson, B. (2011). The agency gap in work-life balance: Applying Sen's capabilities framework within European contexts. Social Politics: International Studies in Gender, State & Society, 18(2), 147–167. https://doi.org/10.1093/sp/jxr012
   Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Hundayehu, M. C., McEwan, M., Namanda, S., Low, J. W., Vandamme, E., & Brouwer, R. (2022). Participatory validation and optimization of the Triple S method for sweetpotato planting material conservation in southern Ethiopia. Open Agriculture, 7(1), 120–131. https://doi.org/10.1515/opag-2021-0063
   Web of Science ®Google Scholar
• Kabeer, N. (1999). Resources, agency, achievements: Reflections on the measurement of women's empowerment. Development and Change, 30(3), 435–464. https://doi.org/10.1111/1467-7660.00125
   Web of Science ®Google Scholar
• Kamrath, C., Rajendran, S., Nenguwo, N., Afari-Sefa, V., & Bröring, S. (2018). Adoption behavior of market traders: An analysis based on technology acceptance model and theory of planned behavior. International Food and Agribusiness Management Review, 21(6), 771–790. https://doi.org/10.22434/IFAMR2017.0043
   Web of Science ®Google Scholar
• Kansiime, M. K., Njunge, R., Okuku, I., Baars, E., Alokit, C., Duah, S., Gakuo, S., et al. (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
• Lawless, S., Cohen, P., McDougall, C., Orirana, G., Siota, F., & Doyle, K. (2019). Gender norms and relations: Implications for agency in coastal livelihoods. Maritime Studies, 18(3), 347–358. https://doi.org/10.1007/s40152-019-00147-0
   Web of Science ®Google Scholar
• Levitan, L. C., & Visser, P. S. (2008). The impact of the social context on resistance to persuasion: Effortful versus effortless responses to counter-attitudinal information. Journal of Experimental Social Psychology, 44(3), 640–649. https://doi.org/10.1016/j.jesp.2007.03.004
   Web of Science ®Google Scholar
• Lunyolo, L. D., Khalifa, M., & Ribbe, L. (2021). Assessing the interaction of land cover/land use dynamics, climate extremes and food systems in Uganda. Science of the Total Environment, 753, 142549. https://doi.org/10.1016/j.scitotenv.2020.142549
   PubMed Web of Science ®Google Scholar
• Mangheni, M. N., Tufan, H. A., Nkengla, L., Aman, B. O., & Boonabaana, B. (2019). Gender norms, technology access, and women farmers’ vulnerability to climate change in Sub-saharan Africa. In Y. Bamutaze, S. Kyamanywa, B. R. Singh, G. Nabanoga, & R. Lal (Eds.), In agriculture and ecosystem resilience in Sub saharan Africa: Livelihood pathways under changing climate (pp. 715–728). Springer.
   Google Scholar
• Marechera, G., & Ndigwa, J. (2014). Farmer perceptions of aflatoxin management strategies in lower eastern Kenya. Journal of Agricultural Extension and Rural Development, 6(1-2), 382–392.
   Google Scholar
• Martínez-García, C. G., Dorward, P., & Rehman, T. (2013). Factors influencing adoption of improved grassland management by small-scale dairy farmers in central Mexico and the implications for future research on smallholder adoption in developing countries. Livestock Science, 152(2-3), 228–238. https://doi.org/10.1016/j.livsci.2012.10.007
   Web of Science ®Google Scholar
• Mayanja, S., Mudege, N., Snyder, K. A., Kwikiriza, N., Munda, E., Achora, J., & Grant, F. (2022). Commercialisation of the sweetpotato value chain: Impacts on women producers in Mozambique. Outlook on Agriculture, 51(3), 349–358. https://doi.org/10.1177/00307270221105533
   Web of Science ®Google Scholar
• McEwan, M., Almekinders, C., Abidin, P. E., Andrade, M., Carey, E. E., Gibson, R. W., Naico, A., Namanda, S., & Schulz, S. (2015). Can small still be beautiful? Moving local sweet potato seed systems to scale in Sub-saharan Africa. In C. Almekinders, & P. E. Abidin (Eds.), Potato and sweet potato in Africa. Transforming value chains for food and nutrition security (pp. 289–310). CABI.
   Google Scholar
• McEwan, M. A., van Mourik, T. A., Hundayehu, M. C., Asfaw, F., Namanda, S., Suleman, I., Mayanja, S., Imoro, S., & Etwire, P. M. (2022). Securing sweet potato planting material for farmers in dryland Africa: Gender-responsive communication approaches to scale triple S. In G. Thiele, M. Friedmann, H. Campos, V. Polar, & J. W. Bentley (Eds.), In root, tuber and banana food system innovations (pp. 353–388). Springer.
   Google Scholar
• Meijer, S. S., Catacutan, D., Ajayi, O. C., Sileshi, G. W., & Nieuwenhuis, M. (2015). The role of knowledge, attitudes and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in Sub-saharan Africa. International Journal of Agricultural Sustainability, 13(1), 40–54. https://doi.org/10.1080/14735903.2014.912493
   Web of Science ®Google Scholar
• Mudege, N. N., Mdege, N., Abidin, P. E., & Bhatasara, S. (2017). The role of gender norms in access to agricultural training in chikwawa and phalombe, Malawi. Gender, Place & Culture, 24(12), 1689–1710. https://doi.org/10.1080/0966369X.2017.1383363
   Web of Science ®Google Scholar
• Musemakweri, J. (2007). Farmers’ experiences and perceptions of the NAADS agricultural extension system/programin kabale district, Uganda. Retrospective theses and dissertations available at digital repository @ Iowa State University.
   Google Scholar
• Mwanga, R. O., & Ssemakula, G. (2011). Orange-fleshed sweetpotatoes for food, health and wealth in Uganda. International Journal of Agricultural Sustainability, 9(1), 42–49. https://doi.org/10.3763/ijas.2010.0546
   Web of Science ®Google Scholar
• Mwiti, F. K., Okello, J. J., Munei, K., & Low, J. (2020). Farmer demand for clean planting material of biofortified and non-biofortified vegetatively propagated crop varieties: The case of sweetpotato. Scientific African, 8, e00400. https://doi.org/10.1016/j.sciaf.2020.e00400
   Google Scholar
• Namanda, S., Amour, R., & Gibson, R. W. (2013). The triple S method of producing sweet potato planting material for areas in Africa with long dry seasons. Journal of Crop Improvement, 27(1), 67–84. https://doi.org/10.1080/15427528.2012.727376
   Google Scholar
• Namanda, S., Gibson, R., & Sindi, K. (2011). Sweetpotato seed systems in Uganda, Tanzania, and Rwanda. Journal of Sustainable Agriculture, 35(8), 870–884. https://doi.org/10.1080/10440046.2011.590572
   Web of Science ®Google Scholar
• Ndwandwe, N. K. (2018). Sensory quality of provitamin A biofortified maize-based foods and the effect of a provitamin A biofortified maize awareness campaign on their acceptance in KwaZulu-natal, South Africa. PhD dissertation. University of KwaZulu-Natal.
   Google Scholar
• Nyabaro, V., Mburu, J., & Hutchinson, M. (2019). Factors enabling the participation of women in income sharing among banana (musa spp.) producing households in South Imenti, Meru County, Kenya. Gender, Technology and Development, 23(3), 277–292. https://doi.org/10.1080/09718524.2019.1669104
   Web of Science ®Google Scholar
• Obong, Y., Omony, T., Rachkara, P., & Gibson, R. W. (2017). Disseminating modern sweet potato varieties using participatory variety demonstration trials on informal nodal multipliers’ fields at hub locations. Journal of Crop Improvement, 31(2), 229–246.
   Web of Science ®Google Scholar
• Ongachi, W., Onwonga, R., Nyanganga, H., Wangia, S., Chimoita, E., & Okry, F. (2018). Farmers’ knowledge, attitude, and perception of video-mediated learning vis-à-vis farmer field school on striga weed management in western Kenya. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 14(2), 195–210.
   Google Scholar
• Parker, M. L., Low, J. W., Andrade, M., Schulte-Geldermann, E., & Andrade-Piedra, J. (2019). The climate-smart agriculture papers. The Climate-Smart Agriculture Papers: Investigating the Business of a Productive, Resilient and Low Emission Future, 99–111. https://doi.org/10.1007/978-3-319-92798-5_9
   Google Scholar
• Phiiri, G. K., Egeru, A., & Ekwamu, A. (2016). Climate change and agriculture nexus in Sub-saharan Africa: The agonizing reality for smallholder farmers. International Journal of Current Research and Review, 8(2), 57.
   Google Scholar
• Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for exploring measurement invariance. Psychological Bulletin, 114(3), 552. https://doi.org/10.1037/0033-2909.114.3.552
   PubMed Web of Science ®Google Scholar
• Rola-Rubzen, M. F., Paris, T., Hawkins, J., & Sapkota, B. (2020). Improving gender participation in agricultural technology adoption in Asia: From rhetoric to practical action. Applied Economic Perspectives and Policy, 42(1), 113–125. https://doi.org/10.1002/aepp.13011
   Web of Science ®Google Scholar
• Ssemakula, G., Niringiye, C., Otema, M., Kyalo, G., Namakula, J., & Mwanga, R. O. M. (2014). Evaluation and delivery of disease-resistant and micronutrient dense sweet potato varieties to farmers in Uganda. Uganda Journal of Agricultural Sciences, 15(2), 101–111.
   Google Scholar
• Stathers, T., Namanda, S., Agili, S., Cherinet, M., Njoku, J., & McEwan, M. (2017). Guide for trainers – sweet potato planting material conservation triple S method: Sand, storage, sprouting (p. 42). International Potato Centre, Nairobi, Kenya.
   Google Scholar
• Tama, R. A. Z., Ying, L., Yu, M., Hoque, M. M., Adnan, K. M., & Sarker, S. A. (2021). Assessing farmers’ intention towards conservation agriculture by using the extended theory of planned behavior. Journal of Environmental Management, 280, 111654. https://doi.org/10.1016/j.jenvman.2020.111654
   PubMed Web of Science ®Google Scholar
• van Dijk, W. F., Lokhorst, A. M., Berendse, F., & De Snoo, G. R. (2016). Factors affecting farmers' intention to perform unsubsidised agri-environmental measure. Land Use Policy, 59, 207–216.
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60. https://doi.org/10.1006/obhd.2000.2896
   PubMed Web of Science ®Google Scholar
• Villamor, G. B., van Noordwijk, M., Djanibekov, U., Chiong-Javier, M. E., & Catacutan, D. (2014). Gender differences in land-use decisions: Shaping multifunctional landscapes? Current Opinion in Environmental Sustainability, 6, 128–133. https://doi.org/10.1016/j.cosust.2013.11.015
   Web of Science ®Google Scholar
• Wichern, J., van Wijk, M. T., Descheemaeker, K., Frelat, R., van Asten, P. J., & Giller, K. E. (2017). Food availability and livelihood strategies among rural households across Uganda. Food Security, 9(6), 1385–1403. https://doi.org/10.1007/s12571-017-0732-9
   Web of Science ®Google Scholar
• Zeileis, A., Hothorn, T., & Hornik, K. (2008). Model-based recursive partitioning. Journal of Computational and Graphical Statistics, 17(2), 492–514. doi:10.1198/106186008X319331
   Web of Science ®Google Scholar