Exploring the Plausibility of Inoculated Cowpeas as a Climate Adaptation Strategy for Namibian Smallholder Farmers
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Region
2.2. Farmer Survey
3. Results
3.1. General Farmer and Farm Characteristics and Assets
3.2. Cowpeas
3.3. Accessibility and Access to Information for Farmers
3.4. Farmers’ Assessment of Climate Change
- I have observed unusual climate events in the last 10–15 years.
- Climate change is manmade.
- I am concerned about climate change and will contribute to fighting it.
- I am aware about climate change.
- I have felt the need to change my agricultural decisions because of climate change.
- Climate change is real and is currently happening.
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
List of Farmer Survey Questions
- Socio-economic profile
- Name.
- Village.
- District.
- State.
- Age (years).
- Gender (male, female, other).
- Family type (joint, nuclear).
- Education status (illiterate, primary, secondary, higher secondary, undergraduate).
- Average monthly income (NAD).
- Sources of income as a percentage (farming, wages/salary, livestock, non-farm business, other).
- Available vehicles (bike, motorcycle, quad bike, car, tractor, lorry, drawn cart, other).
- Available electronics (cell phone, smartphone, tablet, computer, internet access, television, landline phone, TV, other).
- Financial tools (bank account, ATM/debit card, credit card, internet banking, phone banking, other).
- Major living expenses of last month as a percentage (food, clothing, education, housing, health care, celebrations, investment, mobile phone, travel, other).
- Major agricultural costs of last season in NAD (seeds, tilling, insecticides, electricity, labor, transport, feed/fodder, fuel, irrigation, land rent, fertilizer, storage, wages, other).
- Household information
- Time of residence in village (years).
- Household size, on farm/off farm employment status (number of people per age bracket <15, 15–65, >65, in school, full time on farm, part time on farm, full time off farm, part time off farm).
- Years practicing agriculture.
- Minimum cash needed to run household normally (NAD).
- To what extent are basic needs of the family met (%).
- Reception of agricultural assistance (seeds, fertilizers, irrigation, support prices, other).
- Farm/agriculture-related information
- Size of farm (ha).
- Agricultural focus (agriculture, horticulture, animal husbandry, fishery, agro-forestry, other).
- Animals on farm (poultry, cattle, pigs, sheep, goats, honeybees, other).
- Source of seeds (last year’s crop, traders, seed companies, neighbors, government, other).
- Farm assets (drip irrigation, well, farm pond, cattle shed, poultry house, solar panel, bee hives, plough, sprinkler, pigsty, shed, other).
- Assumed soil fertility (very high, high, average, low, very low).
- Main factors influencing farming decisions about crop choice, sowing date, fertilizer type, fertilizer quantity, soil tillage, pest control, disease control, irrigation investment.
- Main objective in farming (maximize yield, sustain family livelihood, maintain present yield levels, sustain environment).
- Participation and access to institutions
- Social participation/membership status (NGO, village council, religious institution, farmers’ club, farmers’ coop, other).
- Regular information about new farming knowledge, technologies or seed varieties (yes, no, infrequently).
- Changed mind about an agricultural activity in the last decade due to new information (no, yes). If yes, what.
- Source of new information (state department of agriculture, agricultural university, private companies, neighbors, extension services, other).
- Access to the services: agricultural credits, machines, farm tools, marketing, post-harvest processing, extension services, weather forecast, seasonal forecast, market information, crop insurance, soil testing, water testing, new seed varieties (yes, no). If yes, was service used (yes, no).
- Food consumption and preferences
- Main non-vegetarian food choices (poultry, pork, beef, mutton, milk products, eggs, other).
- Main vegetarian food choices (millet, maize, sorghum, wheat, pulses, cowpeas, other).
- Cowpea preference (white, black, depends on dish, don’t care).
- Own production of millet, maize, sorghum, wheat, pulses, cowpeas percent for sale, percent for own consumption.
- Specific information on millet, maize, sorghum, wheat, pulses, cowpeas (average yields, average fertilizer application rates [kg/ha], fertilizer types, tillage (yes, no)).
- Cowpeas grown on farm (yes, no).
- Challenges that prevent the farmer from planting cowpeas on a larger area (open).
- Heard of inoculated seeds (yes, no).
- Willing to plant inoculated seeds if this increased yields (yes, no).
- Willing to pay more for inoculated seeds (yes, no).
- Perception of climate change and general situation
- I am aware about climate change (strongly agree, agree, neutral, disagree, strongly disagree).
- I have observed unusual climate events in the last 10–15 years (strongly agree, agree, neutral, disagree, strongly disagree).
- Climate change is manmade (strongly agree, agree, neutral, disagree, strongly disagree).
- Climate change is real and currently happening (strongly agree, agree, neutral, disagree, strongly disagree).
- I am concerned about climate change and will contribute towards slowing it down (strongly agree, agree, neutral, disagree, strongly disagree).
- Do you perceive the need to change your agricultural decisions based on the changes in climate? (strongly agree, agree, neutral, disagree, strongly disagree).
- Able to fill family’s nutritional needs (yes, no).
- Able to make some savings each year (yes, no).
References
- Godfray, H.C.J.; Beddington, J.R.; Crute, I.R.; Haddad, L.; Lawrence, D.; Muir, J.F.; Pretty, J.; Robinson, S.; Thomas, S.M.; Toulmin, C. Food Security: The Challenge of Feeding 9 Billion People. Science 2010, 327, 812–818. [Google Scholar] [CrossRef] [PubMed]
- Wheeler, T.; von Braun, J. Climate Change Impacts on Global Food Security. Science 2013, 341, 508–513. [Google Scholar] [CrossRef] [PubMed]
- IPCC. IPCC Sixth Assessment Report: Climate change 2022: Impacts, adaptation, and vulnerability. In Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2022. [Google Scholar]
- Niang, I.; Ruppel, O.; Abdrabo, M.; Essel, A.; Lennard, C.; Padgham, J.; Urquhart, P. Africa. In Climate Change 2014: Impacts, Adaptation and Vulnerability Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2014. [Google Scholar]
- Trisos, C.H.; Adelekan, I.O.; Totin, E.; Ayanlade, A.; Efitre, J.; Gemeda, A.; Kalaba, K.; Lennard, C.; Masao, C.; Mgaya, Y.; et al. Africa. In Climate Change 2022: Impacts, Adaptation and Vulnerability Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2022; pp. 1285–1455. [Google Scholar]
- Serdeczny, O.; Adams, S.; Baarsch, F.; Coumou, D.; Robinson, A.; Hare, W.; Schaeffer, M.; Perrette, M.; Reinhardt, J. Climate change impacts in Sub-Saharan Africa: From physical changes to their social repercussions. Reg. Environ. Change 2017, 17, 1585–1600. [Google Scholar] [CrossRef]
- Samuels, M.I.; Masubelele, M.L.; Cupido, C.F.; Swarts, M.B.V.; Foster, J.; de Wet, G.; Links, A.; Van Orsdol, K.; Lynes, L.S. Climate vulnerability and risks to an indigenous community in the arid zone of South Africa. J. Arid. Environ. 2022, 199, 104718. [Google Scholar] [CrossRef]
- Pielke, R.; Prins, G.; Rayner, S.; Sarewitz, D. Lifting the taboo on adaptation. Nature 2007, 445, 597–598. [Google Scholar] [CrossRef]
- Jantke, K.; Pein, J.; Hanf, F.S.; Schrum, C.; Langendijk, G.S.; Hoffmann, P.; Wilkens, J. Climate change adaptation in key social-ecological systems. In Hamburg Climate Futures Outlook 2023: The Plausibility of a 15 °C Limit to Global Warming—Social Drivers and Physical Processes; Engels, A., Marotzke, J., Gresse, E.G., López-Rivera, A., Pagnone, A., Wilkens, J., Eds.; University of Hamburg: Hamburg, Germany, 2023; pp. 58–64. [Google Scholar]
- Jellason, N.P.; Conway, J.S.; Baines, R.N.; Ogbaga, C.C. A review of farming challenges and resilience management in the Sudano-Sahelian drylands of Nigeria in an era of climate change. J. Arid. Environ. 2021, 186, 104398. [Google Scholar] [CrossRef]
- Pielke Jr, R.; Burgess, M.G.; Ritchie, J. Plausible 2005–2050 emissions scenarios project between 2 °C and 3 °C of warming by 2100. Environ. Res. Lett. 2022, 17, 024027. [Google Scholar] [CrossRef]
- Engels, A.; Marotzke, J.; Gresse, E.G.; López-Rivera, A.; Pagnone, A.; Wilkens, J. Hamburg Climate Futures Outlook 2023: The Plausibility of a 1.5 °C Limit to Global Warming—Social Drivers and Physical Processes; University of Hamburg: Hamburg, Germany, 2023. [Google Scholar]
- Berrang-Ford, L.; Siders, A.R.; Lesnikowski, A.; Fischer, A.P.; Callaghan, M.W.; Haddaway, N.R.; Mach, K.J.; Araos, M.; Shah, M.A.; Wannewitz, M.; et al. A systematic global stocktake of evidence on human adaptation to climate change. Nat. Clim. Change 2021, 11, 989–1000. [Google Scholar] [CrossRef]
- Lipper, L.; Thornton, P.; Campbell, B.M.; Baedeker, T.; Braimoh, A.; Bwalya, M.; Caron, P.; Cattaneo, A.; Garrity, D.; Henry, K.; et al. Climate-smart agriculture for food security. Nat. Clim. Change 2014, 4, 1068–1072. [Google Scholar] [CrossRef]
- Cramer, L.K. Access to Early Generation Seed: Obstacles for Delivery of Climate-Smart Varieties. In the Climate-Smart Agriculture Papers: Investigating the Business of a Productive, Resilient and Low Emission Future; Rosenstock, T.S., Nowak, A., Girvetz, E., Eds.; Springer International Publishing: Cham, Switzerland, 2019; pp. 87–98. [Google Scholar]
- Kichamu-Wachira, E.; Xu, Z.; Reardon-Smith, K.; Biggs, D.; Wachira, G.; Omidvar, N. Effects of climate-smart agricultural practices on crop yields, soil carbon, and nitrogen pools in Africa: A meta-analysis. J. Soils Sediments 2021, 21, 1587–1597. [Google Scholar] [CrossRef]
- Jiri, O.; Mafongoya, P.L.; Chivenge, P. Building climate change resilience through adaptation in smallholder farming systems in semi-arid Zimbabwe. Int. J. Clim. Change Strateg. Manag. 2017, 9, 151–165. [Google Scholar] [CrossRef]
- Gebeyehu, A.K.; Snelder, D.; Sonneveld, B.; Abbink, J. How do agro-pastoralists cope with climate change? The case of the Nyangatom in the Lower Omo Valley of Ethiopia. J. Arid. Environ. 2021, 189, 104485. [Google Scholar] [CrossRef]
- de Blécourt, M.; Gröngröft, A.; Baumann, S.; Eschenbach, A. Losses in soil organic carbon stocks and soil fertility due to deforestation for low-input agriculture in semi-arid southern Africa. J. Arid. Environ. 2019, 165, 88–96. [Google Scholar] [CrossRef]
- World Food Programme (WFP); Government of Namibia. Republic of Namibia. In Namibia Zero Hunger Strategic Review Report; Government of Namibia: Windhoek, Namibia, 2017. [Google Scholar]
- Fleissner, K.; Bagnall-Oakeley, H. The use of participatory methodologies for on-farm cowpea (Vigna unguiculata) evaluation in northern Namibia. Agricola 2001, 12, 36–44. [Google Scholar]
- Buruchara, R.; Chirwa, R.; Sperling, L.; Mukankusi, C.; Rubyogo, J.C.; Mutonhi, R.; Abang, M.M. Development and delivery of bean varieties in Africa: The Pan-Africa Bean Research Alliance (PABRA) model. Afr. Crop Sci. J. 2011, 19, 227–245. [Google Scholar]
- Rasche, L.; Becker, J.N.; Chimwamurombe, P.; Eschenbach, A.; Gröngröft, A.; Jeong, J.; Luther-Mosebach, J.; Reinhold-Hurek, B.; Sarkar, A.; Schneider, U.A. Exploring the benefits of inoculated cowpeas under different climatic conditions in Namibia. Sci. Rep. 2023, 13, 11761. [Google Scholar] [CrossRef]
- Smeets, E.M.W.; Faaij, A.P.C.; Lewandowski, I.M.; Turkenburg, W.C. A bottom-up assessment and review of global bio-energy potentials to 2050. Prog. Energy Combust. Sci. 2007, 33, 56–106. [Google Scholar] [CrossRef]
- Schneider, U.A.; McCarl, B.A. Appraising agricultural greenhouse gas mitigation potentials: Effects of alternative assumptions. Agr. Econ. 2006, 35, 277–287. [Google Scholar] [CrossRef]
- Wehberg, J.; Weinzierl, T. The Okavango Basin—Physical-geographical settings. In Environmental Assessments in the Okavango Region; Oldeland, C., Erb, M., Finckh, M., Jürgens, N., Eds.; Biodiversity & Ecology: Lacey, WA, USA, 2013; pp. 11–13. [Google Scholar]
- Mendelsohn, J.; El Obeid, S.; Roberts, C. A Profile of North-Central Namibia; Gamsberg Macmillan Publishers: Windhoek, Namibia, 2000; p. 84. [Google Scholar]
- Mendelsohn, J. Land Use in Kavango: Past, Present and Future; RAISON (Research and Information Services of Namibia): Maun, Botswana, 2009. [Google Scholar]
- Jat, M.L.; Dagar, J.C.; Sapkota, T.B.; Govaerts, B.; Ridaura, S.; Saharawat, Y.S.; Sharma, R.K.; Tetarwal, J.P.; Jat, R.K.; Hobbs, H.; et al. Climate change and agriculture: Adaptation strategies and mitigation opportunities for food security in South Asia and Latin America. Adv. Agron. 2016, 137, 127–235. [Google Scholar]
- Chenu, K.; Porter, J.R.; Martre, P.; Basso, B.; Chapman, S.C.; Ewert, F.; Bindi, M.; Asseng, S. Contribution of crop models to adaptation in wheat. Trends Plant Sci. 2017, 22, 472–490. [Google Scholar] [CrossRef]
- Becker, J.N.; Grozinger, J.; Sarkar, A.; Reinhold-Hurek, B.; Eschenbach, A. Effects of cowpea (Vigna unguiculata) inoculation on nodule development and rhizosphere carbon and nitrogen content under simulated drought. Plant Soil 2023, 50, 33–51. [Google Scholar] [CrossRef]
- Jamil, I.; Jun, W.; Mughal, B.; Raza, M.H.; Imran, M.A.; Waheed, A. Does the adaptation of climate-smart agricultural practices increase farmers’ resilience to climate change? Environ. Sci. Pollut. Res. 2021, 28, 27238–27249. [Google Scholar] [CrossRef] [PubMed]
- Khanal, U.; Wilson, C. Derivation of a climate change adaptation index and assessing determinants and barriers to adaptation among farming households in Nepal. Environ. Sci. Policy 2019, 101, 156–165. [Google Scholar] [CrossRef]
- de Jalon, S.G.; Silvestri, S.; Granados, A.; Iglesias, A. Behavioural barriers in response to climate change in agricultural communities: An example from Kenya. Reg. Environ. Change 2015, 15, 851–865. [Google Scholar] [CrossRef]
- Mwungu, C.M.; Mwongera, C.; Shikuku, K.M.; Acosta, M.; Ampaire, E.L.; Winowiecki, L.A.; Läderach, P. Household welfare effects of stress-tolerant varieties in northern uganda. In the Climate-Smart Agriculture Papers; Rostenstock, T., Nowak, A., Girvetz, E., Eds.; Springer Open: Cham, Switzerland, 2019; pp. 175–186. [Google Scholar]
- Davies, J.; Spear, D.; Chappel, A.; Joshi, N.; Togarepi, C.; Kunamwene, I. Considering religion and tradition in climate smart agriculture: Insights from Namibia. In the Climate-Smart Agriculture Papers; Rosenstock, T.S., Nowak, A., Girvetz, E., Eds.; Springer Open: Cham, Switzerland, 2019; pp. 187–197. [Google Scholar]
- Angula, M.N.; Ntombela, K.P.; Samuels, M.I.; Swarts, M.; Cupido, C.; Haimbili, N.E.; Menjono-Katjizeu, M.E.; Hoabes, M. Understanding pastoralist’s knowledge of climate change and variability in Arid Namibia and South Africa. In Proceedings of the Centenary Conference of the Society of South African Geographers, Stellenbosch, South Africa, 25–28 September 2016; pp. 25–28. [Google Scholar]
- Franzel, S.; Kiptot, E.; Degrande, A. Farmer-to-farmer extension: A low-cost approach for promoting climate-smart agriculture. In the Climate-Smart Agriculture Papers; Rosenstock, T.S., Nowak, A., Girvetz, E., Eds.; Springer Open: Cham, Switzerland, 2019; pp. 277–288. [Google Scholar]
- Newsham, A.J.; Thomas, D.S. Knowing, farming and climate change adaptation in North-Central Namibia. Glob. Environ. Change 2011, 21, 761–770. [Google Scholar] [CrossRef]
Unit | Mean | Min | Max | |
---|---|---|---|---|
Monthly income | NAD | 1088 | 100 | 7000 |
Estimated income needed to run household normally | NAD | 3383 | 500 | 30,000 |
Needs of family met currently | % | 37 | 5 | 75 |
Cowpea | Maize | Millet | Sorghum | Wheat | |
---|---|---|---|---|---|
Mean (median) yield [kg/ha] | 239 (150) | 366 (300) | 1299 (1200) | 177 (150) | 400 (400) |
Range of yields [kg/ha] | 50–3000 | 100–1350 | 350–3000 | 25–400 | 50–750 |
Crop fertilized? [% farmers] | 3 | 6 | 63 | 0 | 0 |
Mean (median) fertilizer application rate [kg/ha] | 3 (0) | 6 (0) | 23 (25) | - | - |
Range of fertilizer application rates [kg/ha] | 0–100 | 0–150 | 0–250 | - | - |
Fertilizer type | Manure | Manure | NPK, NPK+urea Manure | - | - |
Field tilled? [% farmers] | 100 | 99 | 100 | 22 | 2 |
Own use [% of yield] | 74 | 80 | 77 | 78 | 100 |
Sale [% of yield] | 26 | 20 | 23 | 22 | 0 |
Answers | # | % |
---|---|---|
Harvesting cowpeas is very time and labor-intensive | 62 | 69 |
Insects, goats, and wild animals (Kudus, Springbok) feed on or destroy cowpeas | 17 | 19 |
There is no market/demand for cowpeas | 14 | 16 |
Cowpeas have a short storability and get easily damaged | 12 | 13 |
There is not enough land for both cowpeas and other, more popular staple crops | 10 | 11 |
Cowpeas are difficult and labor-intensive to weed | 9 | 10 |
There is a lack of resources (labor, machinery) | 9 | 10 |
Cowpeas in large quantities attract insect pests | 3 | 3 |
It is too dry for cowpeas | 2 | 2 |
It is difficult to preserve some seeds for next season | 1 | 1 |
There are no challenges | 1 | 1 |
Answers | # | % |
---|---|---|
Change from heavy tillage to minimum/conservation tillage | 44 | 49 |
Maintaining proper planting densities by planting in rows instead of random | 19 | 21 |
Change from monoculture to crop rotation or intercropping | 17 | 19 |
No change | 14 | 16 |
Use of fertilizer before planting | 10 | 11 |
Early planting | 2 | 2 |
Weed control | 1 | 1 |
More horticultural products | 1 | 1 |
Access | Use | |||
---|---|---|---|---|
# | % | # | % | |
New seed varieties | 89 | 99 | 89 | 99 |
Farm tools | 79 | 88 | 79 | 88 |
Extension services | 72 | 80 | 70 | 78 |
Weather forecasts | 42 | 47 | 35 | 39 |
Seasonal forecasts | 28 | 31 | 25 | 28 |
Market information | 22 | 24 | 8 | 9 |
Machines | 17 | 19 | 16 | 18 |
Agricultural credit | 5 | 6 | 4 | 4 |
Post-harvest processing | 1 | 1 | 1 | 1 |
Soil testing | 1 | 1 | 0 | 0 |
Crop insurance | 0 | 0 | 0 | 0 |
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Rasche, L.; Katjana, J.; Jantke, K.; Uchezuba, D.; Schneider, U.A. Exploring the Plausibility of Inoculated Cowpeas as a Climate Adaptation Strategy for Namibian Smallholder Farmers. Sustainability 2025, 17, 4041. https://doi.org/10.3390/su17094041
Rasche L, Katjana J, Jantke K, Uchezuba D, Schneider UA. Exploring the Plausibility of Inoculated Cowpeas as a Climate Adaptation Strategy for Namibian Smallholder Farmers. Sustainability. 2025; 17(9):4041. https://doi.org/10.3390/su17094041
Chicago/Turabian StyleRasche, Livia, Johannes Katjana, Kerstin Jantke, David Uchezuba, and Uwe A. Schneider. 2025. "Exploring the Plausibility of Inoculated Cowpeas as a Climate Adaptation Strategy for Namibian Smallholder Farmers" Sustainability 17, no. 9: 4041. https://doi.org/10.3390/su17094041
APA StyleRasche, L., Katjana, J., Jantke, K., Uchezuba, D., & Schneider, U. A. (2025). Exploring the Plausibility of Inoculated Cowpeas as a Climate Adaptation Strategy for Namibian Smallholder Farmers. Sustainability, 17(9), 4041. https://doi.org/10.3390/su17094041