Determinants of Willingness to Adopt Alley Cropping among Smallholder Farmers in Maryland, USA
DOI:
https://doi.org/10.54536/ajec.v5i3.8157Keywords:
Adoption Behavior, Agroforestry, Binary Logistic Regression, Farmers’ Perception, Survey ResearchAbstract
Smallholder farmers face increasing challenges from climate variability, highlighting the need for sustainable farming practices that improve agricultural resilience. Climate-resilient alley cropping (CRAC), which combines trees (fruit/nuts) with annual or seasonal crops, offers potential environmental and economic benefits. However, limited studies have examined willingness to adopt CRAC in Maryland, particularly the role of extension demonstrations in encouraging its adoption. This study examined factors associated with farmers’ willingness to share and apply knowledge gained from CRAC field-day demonstrations in Maryland, USA. Data were collected through a voluntary, self-administered survey of 93 participants attending field days at on-farm and community demonstration sites in Somerset, Wicomico, Caroline, and Baltimore counties. Binary logistic regression was used to analyze the data, with 54 complete responses included in the regression analysis. The results showed that participants who were highly satisfied with the field day had significantly greater odds of expressing the highest level of willingness to share knowledge (OR = 16.13, p < 0.01) and apply the knowledge gained (OR = 6.87, p < 0.05). Demographic information was not a statistically significant predictor in either adjusted model. Although the small, event-based sample and reliance on self-reported intentions limit the generalizability of the findings, the results also suggest that participant satisfaction is an important consideration in extension-based learning. Likewise, agricultural extension programs should emphasize practical demonstrations, relevant educational content, and continued technical assistance.
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Ahmad, S., Riaz, M., Farhan, M., & Sultana, R. (2023). Socioeconomic determinants and perceptions of smallholder farmers towards agroforestry adoption in the Northern Irrigated Plain of Pakistan. Land, 12(4), 813. https://doi.org/10.3390/land12040813
Aryal, J. P., Farnworth, C. R., Khurana, R., Ray, S., Sapkota, T. B., & Rahut, D. B. (2020). Does women’s participation in agricultural technology adoption decisions affect the adoption of climate-smart agriculture? Insights from the Indo-Gangetic Plains of India. Review of Development Economics, 24(3), 973-990. https://doi.org/10.1111/rode.12670
Bandi, M. M., van Noordwijk, M., Dubiez, E., Xu, J., & Van Damme, P. (2022). Adoption of agroforestry practices in and around the Luki Biosphere Reserve in the Democratic Republic of the Congo. Sustainability, 14(16), 9841. https://doi.org/10.3390/su14169841
Billah, M. M., Rahman, M. M., Mahimairaja, S., Lal, A., Srinivasulu, A., & Naidu, R. (2025). Constraints and prospects of adoption of climate-smart agriculture interventions: Implications for farm sustainability. Climate Smart Agriculture, 2(3), 100066. https://doi.org/10.1016/j.csag.2025.100066
Elias, A., Nohmi, M., Yasunobu, K., & Ishida, A. (2016). Farmers’ satisfaction with agricultural extension service and its influencing factors: A case study in Northwest Ethiopia. Journal of Agricultural Science and Technology, 18(1), 39-53. Retrieved on February 27, 2026, from https://www.researchgate.net/publication/289129841_Farmers%27_Satisfaction_with_Agricultural_Extension_Service_and_Its_Influencing_Factors_A_Case_Study_in_North_West_Ethiopia
Food and Agriculture Organization of the United Nations. (2014). Building a common vision for sustainable food and agriculture: Principles and approaches. FAO. Retrieved on March 27, 2026, from https://www.fao.org/3/i3940e/i3940e.pdf
Gurung, D., Karki, L. B., Bhandari, P. B., Mentreddy, S. R., & Ojha, S. (2026). Factors influencing the adoption of climate-smart agricultural practices in Maryland, USA. International Journal of Smart Agriculture, 4(1), 1-11. https://doi.org/10.54536/ijsa.v4i1.5550
Hailu, C., Canali, G., Tabaglio, V., Rikitu, A., Olika, B., & Bekana, K. (2025). The impact of knowledge utilization networks on transformational farming practices: Evidence from the Central Oromia Region, Ethiopia. Agricultural and Food Economics, 13(1), 89. https://doi.org/10.1186/s40100-025-00438-7
Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied Logistic Regression: Third Edition. Applied Logistic Regression: Third Edition, 1-510. https://doi.org/10.1002/9781118548387
Intergovernmental Panel on Climate Change. (2019). Climate change and land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. https://www.ipcc.ch/srccl/
Kamau, E. W., Gitau, R., & Bett, H. K. (2024). Effects of adoption of ecological farming practices on farm income in rural households: Evidence from Central Kenya. Heliyon, 10(14), e34610. https://doi.org/10.1016/J.HELIYON.2024.E34610
Mahato, A. (2014). Climate change and its impact on agriculture. International Journal of Scientific and Research Publications, 4(4), 1-6. Retrieved on April 2, 2026, from http://www.ijsrp.org/research-paper-0414.php?rp=P282518
McRae, S. M. (2024). Agroforestry in temperate-climate commercial agriculture: Feedback from agroforestry practitioners in the Mid-Atlantic United States. Elementa: Science of the Anthropocene, 12(1). https://doi.org/10.1525/ELEMENTA.2022.00136
Mishra, S. (2025). Reviving indigenous farming knowledge in an input- intensive agriculture system: Evidence from Eastern Uttar Pradesh. Frontiers in Sustainable Food Systems, 9, 1685062. https://doi.org/10.3389/fsufs.2025.1685062
Mishra, P., Padhy, C., Mishra, N., Chakraborty, S., & Sai, M. (2024). Role and approaches of agricultural extension in climate-resilient agriculture. International Journal of Agriculture Extension and Social Development, 7(5), 343-348. Retrieved on March 10, 2026, from https://www.extensionjournal.com
Olurinde, K. O., & Agboola, O. A. O. (2024). Determinants of willingness to adopt farm service centres among farming households in Abia State, Nigeria. Agricultura Tropica ET Subtropica, 57, 100-107. https://doi.org/10.2478/ats-2024-0010
Pawar, S., & Channaveer, R. M. (2025). Impact of community education interventions on adopting sustainable agriculture practices among smallholder farmers in Vaijapur Village, Karnataka, India. Discover Global Society, 3(1), 162. https://doi.org/10.1007/s44282-025-00287-1
Salam, M., Rukka, R. M., Samma, M. A. N. K., Tenriawaru, A. N., Rahmadanih, Muslim, A. I., Ali, H. N. B., & Ridwan, M. (2024). The causal-effect model of input factor allocation on maize production: Using binary logistic regression in search for ways to be more productive. Journal of Agriculture and Food Research, 16, 101094. https://doi.org/10.1016/J.JAFR.2024.101094
Sarma, P. K., Alam, M. J., & Begum, I. A. (2022). Farmers’ knowledge, attitudes, and practices towards the adoption of hybrid rice production in Bangladesh: an PLS-SEM approach. GM Crops & Food, 13(1), 327-341. https://doi.org/10.1080/21645698.2022.2140678
Smith, J., Pearce, B. D., & Wolfe, M. S. (2013). Reconciling productivity with protection of the environment: Is temperate agroforestry the answer? Renewable Agriculture and Food Systems, 28(1), 80-92. https://doi.org/10.1017/S1742170511000585
Song, Y., Wang, Y. & Hu, G. The analysis on forest farmers’ intention to participate in construction of the National Reserve Forest Project and its driving factors. Sci Rep 15, 182 (2025). https://doi.org/10.1038/s41598-024-84777-3
Tran, B. L., Tseng, W. C., & Chen, C. C. (2025). Climate change impacts on crop yields across temperature rise thresholds and climate zones. Scientific Reports, 15(1), 1-17. https://doi.org/10.1038/S41598-025-07405-8;SUBJMETA
U.S. Environmental Protection Agency. (2024). Climate change indicators in the United States: Fifth edition (EPA 430-R-24-003). https://www.epa.gov/climate-indicators
Xu, H., Bi, H., Gao, L., & Yun, L. (2019). Alley cropping increases land use efficiency and economic profitability across the combination cultivation period. Agronomy, 9(1), 34. https://doi.org/10.3390/agronomy9010034
Zhong, H., Hu, W., & Penn, J. M. (2018). Application of multiple imputation in dealing with missing data in agricultural surveys: The case of BMP adoption. Journal of Agricultural and Resource Economics, 43(1), 78-102. https://doi.org/10.22004/ag.econ.267611
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Copyright (c) 2026 Rumita Limbu Sanwa, Lila Karki, Mohamadou Lamine Diack
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