Top

Mitigation and Adaptation Strategies for Global Change

Published in:

01-06-2024 | Original Article

Assessment of socio-economic determinants and impacts of climate-smart feeding practices in the Kenyan dairy sector

Authors: Mercy Nyambura Mburu, John Mburu, Rose Nyikal, Amin Mugera, Asaah Ndambi

Published in: Mitigation and Adaptation Strategies for Global Change | Issue 5/2024

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The Kenyan dairy sector has economic potential to improve the welfare of rural households. However, the availability of feed resources, an essential input in dairy production, remains a significant constraint and is exacerbated by the effects of climate change. Using a sample of 665 dairy farmers from selected counties, this study assessed the determinants and impact of adoption of climate-smart feeding practices on milk productivity and output, dairy milk commercialization, and dairy and household income. The multinomial endogenous switching regression was used to account for self-selection bias from observable and non-observable factors. The study identified human and social capital, resource endowment, dairy feeding systems, the source of information about feeding practices, and perceived characteristics of these practices as factors that influenced the likelihood of adopting climate-smart feeding practices. The uptake of climate-smart fodder and feed concentrates together significantly increased milk productivity and output and dairy income. The uptake of climate-smart feed concentrates singly also increased dairy milk commercialization and household income. To facilitate the uptake of climate-smart feeding practices, pluralistic extension systems should be strengthened, practices made available, knowledge about climate change enhanced, and practice-oriented learning adopted. Further, the adoption of both climate-smart fodder and feed concentrates should be emphasized for improved household welfare.

next article Financing Climate-Smart Agriculture: a case study from the Indo-Gangetic Plains

Abegunde VO, Sibanda M, Obi A (2019a) Determinants of the adoption of climate-smart agricultural practices by small-scale farming households in King Cetshwayo District Municipality. South Africa Sustain 12(1):195. https://doi.org/10.3390/su12010195CrossRef

Abegunde VO, Sibanda M, Obi A (2019b) The dynamics of climate change adaptation in Sub-Saharan Africa: a review of climate-smart agriculture among small-scale farmers. Climate 7(11):132. https://doi.org/10.3390/cli7110132CrossRef

Absalón-Medina VA, Nicholson CF, Blake RW, Fox DG, Juárez-Lagunes FI, Canudas-Lara EG, Rueda-Maldonado BL (2012) Economic analysis of alternative nutritional management of dual-purpose cow herds in central coastal Veracruz. Mexico Trop Anim Health Prod 44(6):1143–1150. https://doi.org/10.1007/s11250-011-0050-8CrossRef

Addison M, Anyomi BK, Acheampong PP, Wongnaa CA, Amaning TK (2023) Key drivers of adoption intensity of selected improved rice technologies in rural Ghana. Sci Afr 19:e01544. https://doi.org/10.1016/j.sciaf.2023.e01544CrossRef

African Union Inter-African Bureau for Animal Resources (AU-IBAR) (2022). Kenya dairy industry transformation strategy and investment plan 2022–2023: transformed dairy industry for shared prosperity. AU-IBAR. Retrieved June 17, 2023, from http://repository.auibar.org/xmlui/bitstream/handle/123456789/1336/Kenya%20Dairy%20Industry%20Transformation%20Strategy%202022%20-2032.pdf?sequence=1

Andati P, Majiwa E, Ngigi M, Mbeche R, Ateka J (2023) Effect of climate smart agriculture technologies on crop yields: evidence from potato production in Kenya. Clim Risk Manag 41:100539. https://doi.org/10.1016/j.crm.2023.100539CrossRef

Antwi-Agyei P, Amanor K (2023) Typologies and drivers of the adoption of climate smart agricultural practices by smallholder farmers in rural Ghana. Curr Res Environ Sustain 5:100223. https://doi.org/10.1016/j.crsust.2023.100223CrossRef

Antwi-Agyei P, Abalo EM, Dougill AJ, Baffour-Ata F (2021) Motivations, enablers and barriers to the adoption of climate-smart agricultural practices by smallholder farmers: evidence from the transitional and savannah agroecological zones of Ghana. Reg Sustain 2(4):375–386. https://doi.org/10.1016/j.regsus.2022.01.005CrossRef

Aryal JP, Rahut DB, Maharjan S, Erenstein O (2018) Factors affecting the adoption of multiple climate-smart agricultural practices in the Indo-Gangetic Plains of India: Jeetendra Prakash Aryal, Dil Bahadur Rahut, Sofina Maharjan and Olaf Erenstein / Natural Resources Forum. Nat Res Forum 42(3):141–158. https://doi.org/10.1111/1477-8947.12152CrossRef

Ashley K, Young JR, Kea P, Suon S, Windsor PA, Bush RD (2018) Socioeconomic impact of forage-technology adoption by smallholder cattle farmers in Cambodia. Anim Prod Sci 58(2):393. https://doi.org/10.1071/AN16164CrossRef

Atta-Aidoo J, Antwi-Agyei P, Dougill AJ, Ogbanje CE, Akoto-Danso EK, Eze S (2022) Adoption of climate-smart agricultural practices by smallholder farmers in rural Ghana: an application of the theory of planned behavior. PLOS Climate 1(10):e0000082. https://doi.org/10.1371/journal.pclm.0000082CrossRef

Azadi Y, Yazdanpanah M, Mahmoudi H (2019) Understanding smallholder farmers’ adaptation behaviors through climate change beliefs, risk perception, trust, and psychological distance: evidence from wheat growers in Iran. J Environ Manage 250:109456. https://doi.org/10.1016/j.jenvman.2019.109456CrossRef

Balehegn M, Duncan A, Tolera A, Ayantunde AA, Issa S, Karimou M, Zampaligré N, André K, Gnanda I, Varijakshapanicker P, Kebreab E, Dubeux J, Boote K, Minta M, Feyissa F, Adesogan AT (2020) Improving adoption of technologies and interventions for increasing supply of quality livestock feed in low- and middle-income countries. Glob Food Sec 26:100372. https://doi.org/10.1016/j.gfs.2020.100372CrossRef

Balew, S., Agwata, J., & Anyango, S. (2014). Determinants of adoption choices of climate change adaptation strategies in crop production by small scale farmers in some regions of central Ethiopia. J Nat Sci Res 4:78–92

Bannor RK, Ibrahim N, Amrago EC (2021) Examining the influence of commercialisation and postharvest losses on the choice of marketing outlet among poultry farmers. Sci African 12:e00792. https://doi.org/10.1016/j.sciaf.2021.e00792CrossRef

Bartlett J, Kotrlik J, Higgins C (2001) Org Res : Determining Appr Sample Size Surv Res 19:43–50

Bateki CA, van Dijk S, Wilkes A, Dickhoefer U, White R (2020) Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics. Animal 14(12):2619–2627. https://doi.org/10.1017/S1751731120001548CrossRef

Bechini L, Costamagna C, Zavattaro L, Grignani C, Bijttebier J, Ruysschaert G (2020) Drivers and barriers to adopt best management practices. Survey among Italian dairy farmers. J Clean Prod 245:118825. https://doi.org/10.1016/j.jclepro.2019.118825CrossRef

Bingi S, & Tondel F (2015) Recent developments in the East African dairy sector. European Centre for Development Policy Management. https://ecdpm.org/application/files/1016/5546/8894/BN-on-dairy-sector-in-EA_final1.pdf. Accessed 13 Jun 2023

Bryan E, Ringler C, Okoba B, Roncoli C, Silvestri S, Herrero M (2013) Adapting agriculture to climate change in Kenya: household strategies and determinants. J Environ Manage 114:26–35. https://doi.org/10.1016/j.jenvman.2012.10.036CrossRef

Buza MH, Holden LA, White RA, Ishler VA (2014) Evaluating the effect of ration composition on income over feed cost and milk yield. J Dairy Sci 97(5):3073–3080. https://doi.org/10.3168/jds.2013-7622CrossRef

Carlton JS, Mase AS, Knutson CL, Lemos MC, Haigh T, Todey DP, Prokopy LS (2016) The effects of extreme drought on climate change beliefs, risk perceptions, and adaptation attitudes. Clim Change 135(2):211–226. https://doi.org/10.1007/s10584-015-1561-5CrossRef

Chagunda MGG, Mwangwela A, Mumba C, Dos Anjos F, Kawonga BS, Hopkins R, Chiwona-Kartun L (2016) Assessing and managing intensification in smallholder dairy systems for food and nutrition security in Sub-Saharan Africa. Reg Environ Change 16(8):2257–2267. https://doi.org/10.1007/s10113-015-0829-7CrossRef

Davis K, Babu SC, & Ragasa C (2020) Agricultural extension: global status and performance in selected countries (0 ed.). International Food Policy Research Institute. https://doi.org/10.2499/9780896293755

Dawson IK, Carsan S, Franzel S, Kindt R, Van Breugel P, Graudal L, Lillesø J-PB, Orwa C, Jamnadass R (2014) Agroforestry, livestock, fodder production and climate change adaptation and mitigation in East Africa: issues and options. World Agroforestry Centre (ICRAF). https://doi.org/10.5716/WP14050.PDFCrossRef

Di Falco S, Veronesi M (2013) How can African agriculture adapt to climate change? A counterfactual analysis from Ethiopia. Land Econ 89(4):743–766. https://doi.org/10.3368/le.89.4.743CrossRef

Drewry JL, Shutske JM, Trechter D, Luck BD, Pitman L (2019) Assessment of digital technology adoption and access barriers among crop, dairy and livestock producers in Wisconsin. Comput Electron Agric 165:104960. https://doi.org/10.1016/j.compag.2019.104960CrossRef

Erekalo KT, Yadda TA (2023) Climate-smart agriculture in Ethiopia: adoption of multiple crop production practices as a sustainable adaptation and mitigation strategies. World Dev Sustain 3:100099. https://doi.org/10.1016/j.wds.2023.100099CrossRef

Fentie A, Beyene AD (2019) Climate-smart agricultural practices and welfare of rural smallholders in Ethiopia: does planting method matter? Land Use Policy 85:387–396. https://doi.org/10.1016/j.landusepol.2019.04.020CrossRef

Fontes FP (2020) Soil and Water Conservation technology adoption and labour allocation: evidence from Ethiopia. World Dev 127:104754. https://doi.org/10.1016/j.worlddev.2019.104754CrossRef

Food and Agriculture Organization of the United Nations (FAO) & Global Dairy Platform (GDP) (2018).. Climate change and the global dairy cattle sector – The role of the dairy sector in a low-carbon future (Licence: CC BY-NC-SA-3.0 IGO; p. 36). FAO. from https://www.fao.org/3/CA2929EN/ca2929en.pdf. Retrieved 25 April 2023

FAO and New Zealand Agricultural Greenhouse Gas Research Centre. (2017). Options for low emission development in the Kenya dairy sector—Reducing enteric methane for food security and livelihoods. FAO and New Zealand Agricultural Greenhouse Gas Research Centre. from https://www.ccacoalition.org/sites/default/files/resources//Kenya.pdf. Retrieved 13 Aug 2023

Food and Agriculture Organization of the United Nations (FAO) (2021). FAOSTAT. https://www.fao.org/faostat/en/#data/QCL. Accessed 2 Sep 2023

Franzel S, Denning GL, Lillesø JPB, Mercado AR (2004) Scaling up the impact of agroforestry: lessons from three sites in Africa and Asia. Agrofor Syst 61(1):329–344. https://doi.org/10.1023/B:AGFO.0000029008.71743.2dCrossRef

Funk C, Raghavan Sathyan A, Winker P, Breuer L (2020) Changing climate - changing livelihood: smallholder’s perceptions and adaption strategies. J Environ Manage 259:109702. https://doi.org/10.1016/j.jenvman.2019.109702CrossRef

Gachuiri AN, Carsan S, Karanja E, Makui P, Kuyah S (2017) Diversity and importance of local fodder tree and shrub resources in mixed farming systems of central Kenya. Forests, Trees and Livelihoods 26(3):143–155. https://doi.org/10.1080/14728028.2017.1316216CrossRef

Gatheru M, Njarui D, & Gichangi E (2017) On-farm evaluation of improved Brachiaria grasses in semi-arid eastern Kenya. 29(10). https://doi.org/10.5716/WP15675.PDF

Greene HW (2012) Econometric analysis (7th ed.). Upper Saddle River, NJ: Pearson Education, Inc. https://www.scribd.com/document/405441599/BOOK-WILLIAM-GREENE-Econometric-Analysis-5th-Edition-pdf. Accessed 1 Oct 2023

Henderson B, Godde C, Medina-Hidalgo D, Van Wijk M, Silvestri S, Douxchamps S, Stephenson E, Power B, Rigolot C, Cacho O, Herrero M (2016) Closing system-wide yield gaps to increase food production and mitigate GHGs among mixed crop–livestock smallholders in Sub-Saharan Africa. Agric Syst 143:106–113. https://doi.org/10.1016/j.agsy.2015.12.006CrossRef

Herrero M, Wirsenius S, Henderson B, Rigolot C, Thornton P, Havlík P, de Boer I, Gerber PJ (2015) Livestock and the environment: what have we learned in the past decade? Annu Rev Environ Resour 40(1):177–202. https://doi.org/10.1146/annurev-environ-031113-093503CrossRef

Hirpha HH, Mpandeli S, Bantider A (2020) Determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia. Intl J Clim Change Strat Manag 12(4):463–476. https://doi.org/10.1108/IJCCSM-01-2019-0002CrossRef

Imbens GW, & Rubin DB (2015) Causal inference for statistics, social, and biomedical sciences: an introduction (1st ed.). Cambridge University Press. https://doi.org/10.1017/CBO9781139025751

Issahaku G, Abdulai A (2020) Adoption of climate-smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana. Aust J Agri Resour Econ 64(2):396–420. https://doi.org/10.1111/1467-8489.12357CrossRef

Jena PR, Tanti PC, Maharjan KL (2023) Determinants of adoption of climate resilient practices and their impact on yield and household income. J Agri Food Res 14:100659. https://doi.org/10.1016/j.jafr.2023.100659CrossRef

Kassie M, Marenya P, Tessema Y, Jaleta M, Zeng D, Erenstein O, Rahut D (2018) Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data. J Agric Econ 69(1):76–95. https://doi.org/10.1111/1477-9552.12221

Kakkavou K, Gemtou M, Fountas S (2024) Drivers and barriers to the adoption of precision irrigation technologies in olive and cotton farming—lessons from Messenia and Thessaly regions in Greece. Smart Agri Technol 7:100401. https://doi.org/10.1016/j.atech.2024.100401CrossRef

Kashongwe OB, Bebe BO, Matofari JW, Huelsebusch CG (2017) Effects of feeding practices on milk yield and composition in peri-urban and rural smallholder dairy cow and pastoral camel herds in Kenya. Trop Anim Health Prod 49(5):909–914. https://doi.org/10.1007/s11250-017-1270-3CrossRef

Kassie M, Teklewold H, Marenya P, Jaleta M, Erenstein O (2015) Production risks and food security under alternative technology choices in Malawi: application of a multinomial endogenous switching regression. J Agric Econ 66(3):640–659. https://doi.org/10.1111/1477-9552.12099CrossRef

Kenya National Bureau of Statistics (KNBS) (2019). 2019 Kenya population and housing census volume IV: distribution of population by socio-economic characteristics. Kenya National Bureau of Statistics. https://www.knbs.or.ke/download/2019-kenya-population-and-housing-census-volume-iv-distribution-of-population-by-socio-economic-characteristics/. Accessed 29 Aug 2023

Khanal U, Wilson C, Hoang V-N, Lee B (2018) Farmers’ adaptation to climate change, its determinants and impacts on rice yield in Nepal. Ecol Econ 144:139–147. https://doi.org/10.1016/j.ecolecon.2017.08.006CrossRef

Khatri-Chhetri A, Regmi PP, Chanana N, Aggarwal PK (2020) Potential of climate-smart agriculture in reducing women farmers’ drudgery in high climatic risk areas. Clim Change 158(1):29–42. https://doi.org/10.1007/s10584-018-2350-8CrossRef

Khonje MG, Manda J, Mkandawire P, Tufa AH, Alene AD (2018) Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia. Agric Econ 49(5):599–609. https://doi.org/10.1111/agec.12445CrossRef

Kien ND, Dung TQ, Oanh DTK, An LT, Dinh NC, Phan NT, Nga LTT (2023) Climate-resilient practices and welfare impacts on rice-cultivating households in Vietnam: does joint adoption of multiple practices matter? Aust J Agri Resour Econ 1467–8489:12506. https://doi.org/10.1111/1467-8489.12506CrossRef

Kiggundu M, Kigozi A, Walusimbi HK, Mugerwa S (2021) Farmers’ perception of calf housing and factors influencing its adoption on dairy cattle farms in Uganda. Sci Afr 12:e00805. https://doi.org/10.1016/j.sciaf.2021.e00805CrossRef

Kumari VV, Balloli SS, Ramana DBV, Kumar M, Maruthi V, Prabhakar M, Osman M, Indoria AK, Manjunath M, Chary GR, Gopinath KA, Venkatesh G, Sujatha G, Banerjee P, Yadav SK, Singh VK, Timsina J (2023) Crop and livestock productivity, soil health improvement and insect dynamics: impact of different fodder-based cropping systems in a rainfed region of India. Agric Syst 208:103646. https://doi.org/10.1016/j.agsy.2023.103646CrossRef

Kurgat B, Lamanna C, Kimaro A, Namoi N, Manda L, Rosenstock T (2020) Adoption of climate-smart agriculture technologies in Tanzania. Front Sustain Food Syst 4:55. https://doi.org/10.3389/fsufs.2020.00055CrossRef

Kyeremeh HO, Creppy P, Bannor RK (2019) Marketing outlets choice modelling for commercialisation analysis of smallholder rice producers in Ghana. Intl J Value Chain Manag 10(2):162. https://doi.org/10.1504/IJVCM.2019.099104CrossRef

Li J, Ma W, Zhu H (2023) A systematic literature review of factors influencing the adoption of climate-smart agricultural practices. Mitig Adapt Strat Glob Change 29(1):2. https://doi.org/10.1007/s11027-023-10098-xCrossRef

Liang Z, Zhang L, Li W, Zhang J, Frewer LJ (2021) Adoption of combinations of adaptive and mitigatory climate-smart agricultural practices and its impacts on rice yield and income: empirical evidence from Hubei China. Clim Risk Manag 32:100314. https://doi.org/10.1016/j.crm.2021.100314CrossRef

Lipper L, McCarthy N, Zilberman D, Asfaw S, & Branca G (Eds.) (2018). Climate smart agriculture: building resilience to climate change (Vol. 52). Springer International Publishing. https://doi.org/10.1007/978-3-319-61194-5

Liu M, Liu H (2024) Farmers’ adoption of agriculture green production technologies: perceived value or policy-driven? Heliyon 10(1):e23925. https://doi.org/10.1016/j.heliyon.2023.e23925CrossRef

Ma W, Zheng H, Yuan P (2022) Impacts of cooperative membership on banana yield and risk exposure: insights from China. J Agric Econ 73(2):564–579. https://doi.org/10.1111/1477-9552.12465CrossRef

Ma W, Abdul-Rahaman A, Issahaku G (2023) Welfare implications of participating in agri-value chains among vegetable farmers in Northern Ghana. Agribusiness 39(3):793–811. https://doi.org/10.1002/agr.21792CrossRef

Maina KW, Ritho CN, Lukuyu BA, Rao EJO (2020) Socio-economic determinants and impact of adopting climate-smart Brachiaria grass among dairy farmers in Eastern and Western regions of Kenya. Heliyon 6(6):e04335. https://doi.org/10.1016/j.heliyon.2020.e04335CrossRef

Maina KW, Ritho CN, Lukuyu BA, Rao EJO, Mugwe JG (2021) Knowledge, attitudes, and practices of dairy farmers in the adoption of Brachiaria grass in Kenya. Sci African 13:e00874. https://doi.org/10.1016/j.sciaf.2021.e00874CrossRef

Maindi C, Osuga I, Gicheha M (2020) Advancing climate smart agriculture: adoption potential of multiple on-farm dairy production strategies among farmers in Murang’a County Kenya. Livestock Res Rural Dev 32:63

Makkar HPS (2016) Smart livestock feeding strategies for harvesting triple gain – the desired outcomes in planet, people and profit dimensions: a developing country perspective. Anim Prod Sci 56(3):519. https://doi.org/10.1071/AN15557CrossRef

Makkar HPS (2018) Review: Feed demand landscape and implications of food-not feed strategy for food security and climate change. Animal 12(8):1744–1754. https://doi.org/10.1017/S175173111700324XCrossRef

Manda J, Alene AD, Gardebroek C, Kassie M, Tembo G (2016) Adoption and impacts of sustainable agricultural practices on maize yields and incomes: evidence from rural Zambia. J Agric Econ 67(1):130–153. https://doi.org/10.1111/1477-9552.12127CrossRef

Martey E, Etwire PM, Abdoulaye T (2020) Welfare impacts of climate-smart agriculture in Ghana: does row planting and drought-tolerant maize varieties matter? Land Use Policy 95:104622. https://doi.org/10.1016/j.landusepol.2020.104622CrossRef

McFadden D (1974) The measurement of urban travel demand. J Public Econ 3(4):303–328. https://doi.org/10.1016/0047-2727(74)90003-6CrossRef

Ministry of Agriculture, Livestock and Fisheries (MoALF) (2021). Kenya County climate risk profile: Nyamira County. The Kenya Ministry of Agriculture, Livestock and Fisheries (MoALF). https://www.cgiar.org/research/publication/kenya-county-climate-risk-profile-nyamira-county/. Accessed 1 Sep 2023

Ministry of Agriculture, Livestock and Fisheries (MoALF) (2016b). Climate risk profile for Nyeri County. Kenya County Climate Risk Profile Series. The Kenya Ministry of Agriculture, Livestock and Fisheries (MoALF). https://ccafs.cgiar.org/resources/publications/climate-risk-profile-nyeri-county-kenya-county-climate-risk-profile. Accessed 1 Sept 2023

Ministry of Agriculture, Livestock and Fisheries (MoALF) (2016a). Climate risk profile for Nakuru County. Kenya County Climate Risk Profile Series. MoALF. (2016). Climate risk profile for Nakuru County. Kenya County Climate Risk Profile Series. https://ccafs.cgiar.org/resources/publications/climate-risk-profile-nakuru-county-kenya-county-climate-risk-profile. Accessed 1 Sept 2023

Ministry of Agriculture, Livestock and Fisheries (MoALF) (2018a). Climate risk profile for Bomet County. Kenya County Climate Risk Profile Series [Report]. The Kenya Ministry of Agriculture, Livestock and Fisheries (MoALF). https://cgspace.cgiar.org/handle/10568/96282. Accessed 1 Sept 2023

Ministry of Agriculture, Livestock and Fisheries (MoALF) (2018b). Climate risk profile for Uasin Gishu County. Kenya County Climate Risk Profile Series. MoALF. (2016). Climate risk profile for Nakuru County. Kenya County Climate Risk Profile Series. https://ccafs.cgiar.org/resources/publications/climate-risk-profile-nakuru-county-kenya-county-climate-risk-profile. https://ccafs.cgiar.org/resources/publications/climate-risk-profile-uasin-gishu-county-kenya-county-climate-risk. Accessed 1 Sept 2023

Misango VG, Nzuma JM, Irungu P, Kassie M (2022) Intensity of adoption of integrated pest management practices in Rwanda: a fractional logit approach. Heliyon 8(1):e08735. https://doi.org/10.1016/j.heliyon.2022.e08735CrossRef

Mudavadi OP, Emmanuel MA, Charles G, Namasake MF, & Bernard LA (2020) Effects of season variation on water, feed, milk yield and reproductive performance of dairy cows in smallholder farms in Eastern Africa. J Agri Ecol Res Intl 1–15. https://doi.org/10.9734/jaeri/2020/v21i830157

Muinga R, Njunie M, Gatheru M, Njarui D (2016) The effects of Brachiaria grass cultivars on lactation performance of dairy cattle in Kenya. In Njarui DMG, Gichangi EM, Ghimire S R, Muinga RW (Eds.), Climate smart Brachiaria grasses for improving livestock production in East Africa: Kenya Experience (pp. 229-237). KALRO. from https://cgspace.cgiar.org/handle/10568/79797. Retrieved 28 Aug 2023

Mujeyi A, Mudhara M, Mutenje MJ (2020) Adoption determinants of multiple climate smart agricultural technologies in Zimbabwe: considerations for scaling-up and out. Afr J Sci Technol Innov Dev 12(6):735–746. https://doi.org/10.1080/20421338.2019.1694780CrossRef

Ndambi A, Sinoya K, Sakwa B, & van der Lee J (2020). Impact of fodder management on dairy farm performance in Kenya. Wageningen Livestock Research. https://doi.org/10.18174/521036

Negera M, Alemu T, Hagos F, Haileslassie A (2022) Determinants of adoption of climate smart agricultural practices among farmers in Bale-Eco region. Ethiopia Heliyon 8(7):e09824. https://doi.org/10.1016/j.heliyon.2022.e09824CrossRef

Njarui D, Gatheru M, Wambua J, Nguluu S, Mwangi D, Keya GA (2011) Feeding management for dairy cattle in smallholder farming systems of semi-arid tropical Kenya. 23(5). from https://www.researchgate.net/publication/291778832_Feeding_management_for_dairy_cattle_in_smallholder_farming_systems_of_semiarid_tropical_Kenya. Retrieved 15 Jan 2023

Njarui D, Gichangi E, Gatheru M, Nyambati E, Ondiko CN, Njunie M, Wairimu K, Kiiya W W, Kute CAO, Ayako W (2016a) A comparative analysis of livestock farming in smallholder mixed crop-livestock systems in Kenya: 2. Feed utilization, availability and mitigation strategies to feed scarcity. 28(4). from https://www.researchgate.net/publication/311695121_A_comparative_analysis_of_livestock_farming_in_smallholder_mixed_croplivestock_systems_in_Kenya_1_Livestock_inventory_and_management. Retrieved Jan 15 2024

Njarui DMG, Gichangi EM, Ghimire SR, & Muinga RW (2016b) Climate smart Brachiaria grasses for improving livestock production in East Africa: Kenya Experience: Proceedings of a workshop, Naivasha, Kenya, 14 - 15 September 2016 [Report]. Kenya Agricultural and Livestock Research Organization. https://cgspace.cgiar.org/handle/10568/79797. Accessed 6 Mar 2023

Njarui DMG, Gatheru M, & Ghimire SR (2020). Brachiaria grass for climate resilient and sustainable livestock production in Kenya. In W. Leal Filho, N. Oguge, D. Ayal, L. Adeleke, & I. Da Silva (Eds.), African Handbook of Climate Change Adaptation (pp. 1–22). Springer International Publishing. https://doi.org/10.1007/978-3-030-42091-8_146-1

Nyangau JO, Mohamed JH, Mango N, Makate C, Wangeci AN (2021) Smallholder farmers’ perception of climate change and adoption of climate smart agriculture practices in Masaba South Sub-county Kisii Kenya. Heliyon 7(4):e06789. https://doi.org/10.1016/j.heliyon.2021.e06789CrossRef

Nyokabi N, Luning P, Phelan J, Creemers J, Lukuyu B, Bebe B, Oosting S (2022) Intra-annual variation in feed and milk composition in smallholder dairy farms in Kenya. NJAS: Impact Agri Life Sci 94:137–155. https://doi.org/10.1080/27685241.2022.2135391CrossRef

Ogada MJ, Rao EJO, Radeny M, Recha JW, Solomon D (2020) Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya. World Dev Perspect 18:100203. https://doi.org/10.1016/j.wdp.2020.100203CrossRef

Ogisi OD, Begho T (2023) Adoption of climate-smart agricultural practices in sub-Saharan Africa: a review of the progress, barriers, gender differences and recommendations. Farming Syst 1(2):100019. https://doi.org/10.1016/j.farsys.2023.100019CrossRef

Okello D, Owuor G, Larochelle C, Gathungu E, Mshenga P (2021) Determinants of utilization of agricultural technologies among smallholder dairy farmers in Kenya. J Agri Food Res 6:100213. https://doi.org/10.1016/j.jafr.2021.100213CrossRef

Onyango T, Mathai N, Mbugua D, Nguru J, Ayako W, Muia J, Kanegeni N, Makokha S, Margaret S, Ilatsia E, & Nakeel M (2019). Inventory of climate smart agriculture dairy technologies, innovations and management practices. KALRO-KCSAP. https://www.kcsap.go.ke/sites/default/files/manual/DAIRY.pdf. Accessed Mar 6 2023

Onyeneke RU, Igberi CO, Uwadoka CO, Aligbe JO (2018) Status of climate-smart agriculture in southeast Nigeria. GeoJournal 83(2):333–346. https://doi.org/10.1007/s10708-017-9773-zCrossRef

Otieno SJ, Ritho CN, Nzuma JM, Muriithi BW (2023) Determinants of adoption and dis-adoption of integrated pest management practices in the suppression of mango fruit fly infestation: evidence from Embu County Kenya. Sustain 15(3):1891. https://doi.org/10.3390/su15031891CrossRef

Pagliacci F, Defrancesco E, Mozzato D, Bortolini L, Pezzuolo A, Pirotti F, Pisani E, Gatto P (2020) Drivers of farmers’ adoption and continuation of climate-smart agricultural practices. A study from northeastern Italy. Sci Total Environ 710:136345. https://doi.org/10.1016/j.scitotenv.2019.136345CrossRef

Pan D, Zhang N, Kong F (2021) Does it matter who gives information? The impact of information sources on farmers’ pesticide use in China. J Asian Econ 76:101345. https://doi.org/10.1016/j.asieco.2021.101345CrossRef

Paul BK, Koge J, Maass BL, Notenbaert A, Peters M, Groot JCJ, Tittonell P (2020) Tropical forage technologies can deliver multiple benefits in Sub-Saharan Africa. A Meta-Anal Agro Sustain Dev 40(4):22. https://doi.org/10.1007/s13593-020-00626-3CrossRef

Peters M, Herrero M, Fisher M, Erb K-H, Rao I, Subbarao GV, Castro A, Arango J, Chará J, Murgueitio E, Van Der Hoek R, Läderach P, Hyman G, Tapasco J, Strassburg B, Paul B, Rincón A, Schultze-Kraft R, Fonte S, Searchinger T (2013) Challenges and opportunities for improving eco-efficiency of tropical forage-based systems to mitigate greenhouse gas emissions. Trop Grassl Forrajes Tropicales 1(2):156. https://doi.org/10.17138/TGFT(1)156-167CrossRef

Place, F., Roothaert, R., Maina, L., Franzel, S., Sinja, J., & Wanjiku, J. (2009). The impact of fodder trees on milk production and income among smallholder dairy farmers in East Africa and the role of research (ICRAF Occasional Paper 12; p. 41). World Agroforestry Centre. from https://www.researchgate.net/publication/260546985_The_impact_of_fodder_trees_on_milk_production_and_income_among_smallholder_dairy_farmers_in_East_Africa_and_the_role_of_research. Retrieved Jan 14 2024

Richards S, Vanleeuwen J, Getrude S, Gitau G, Kamunde C, Uehlinger F, Wichtel J (2015) Associations of farm management practices with annual milk sales on smallholder dairy farms in Kenya. Vet World 8:88–96. https://doi.org/10.14202/vetworld.2015.88-96CrossRef

Rubin DB (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol 66(5):688–701. https://doi.org/10.1037/h0037350CrossRef

Sang X, Chen C, Hu D, Rahut DB (2024) Economic benefits of climate-smart agricultural practices: empirical investigations and policy implications. Mitig Adapt Strat Glob Change 29(1):9. https://doi.org/10.1007/s11027-024-10104-wCrossRef

Setsoafia ED, Ma W, Renwick A (2022) Effects of sustainable agricultural practices on farm income and food security in northern Ghana. Agri Food Econ 10(1):9. https://doi.org/10.1186/s40100-022-00216-9CrossRef

Tadesse B, Ahmed M (2023) Impact of adoption of climate smart agricultural practices to minimize production risk in Ethiopia: a systematic review. J Agri Food Res 13:100655. https://doi.org/10.1016/j.jafr.2023.100655CrossRef

Tanti PC, Jena PR, Aryal JP, Rahut DB (2022) Role of institutional factors in climate-smart technology adoption in agriculture: evidence from an Eastern Indian state. Environ Challenges 7:100498. https://doi.org/10.1016/j.envc.2022.100498CrossRef

Tegemeo Institute of Agricultural Policy and Development of Egerton University, & Kenya Dairy Board. (2021). Report on a study on cost of milk production in Kenya. Kenya Dairy Board. https://kdb.go.ke/wp-content/uploads/2021/06/Cost-of-milk-production-report..pdf. Accessed 28 Feb 2023

Teklewold H, Mekonnen A, Kohlin G, Di Falco S (2017) Does adoption of multiple climate-smart practices improve farmers’ climate resilience? Empirical evidence from the Nile Basin of Ethiopia. Climate Change Economics 08(01):1750001. https://doi.org/10.1142/S2010007817500014CrossRef

Teklu A, Simane B, Bezabih M (2023) Multiple adoption of climate-smart agriculture innovation for agricultural sustainability: empirical evidence from the Upper Blue Nile Highlands of Ethiopia. Clim Risk Manag 39:100477. https://doi.org/10.1016/j.crm.2023.100477CrossRef

Thanh LP, Suksombat W (2015) Milk production and income over feed costs in dairy cows fed medium-roasted soybean meal and corn dried distiller’s grains with solubles. Asian Australas J Anim Sci 28(4):519–529. https://doi.org/10.5713/ajas.14.0685CrossRef

Tripathi A, Mishra AK (2017) Knowledge and passive adaptation to climate change: an example from Indian farmers. Clim Risk Manag 16:195–207. https://doi.org/10.1016/j.crm.2016.11.002CrossRef

United Nations. (2015). Transforming our world: the 2030 agenda for sustainable development (A/RES/70/1). https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdf. Accessed 4 Aug 2023

Vatsa P, Ma W, Zheng H, Li J (2023) Climate-smart agricultural practices for promoting sustainable agrifood production: yield impacts and implications for food security. Food Policy 121:102551. https://doi.org/10.1016/j.foodpol.2023.102551CrossRef

Von Braun J (1995) Agricultural commercialization: impacts on income and nutrition and implications for policy. Food Policy 20(3):187–202. https://doi.org/10.1016/0306-9192(95)00013-5CrossRef

Wairimu E, Mburu J, Gachuiri CK, Ndambi A (2021) Characterization of dairy innovations in selected milksheds in Kenya using a categorical principal component analysis. Trop Anim Health Prod 53(2):227. https://doi.org/10.1007/s11250-021-02596-4CrossRef

Wairimu E, Mburu J, Ndambi A, Gachuiri C (2022) Factors affecting adoption of technical, organisational and institutional dairy innovations in selected milksheds in Kenya. Agrekon 61(3):324–338. https://doi.org/10.1080/03031853.2022.2090972CrossRef

Waitituh, J. (2017). Smallholder dairy production in Kenya; a review. 29. http://www.lrrd.org/lrrd29/7/atiw29139.html. Accessed 9 Feb 2023

Wilkes A, Wassie S, Odhong C, Fraval S, van Dijk S (2020) Variation in the carbon footprint of milk production on smallholder dairy farms in central Kenya. J Clean Prod 265:121780. https://doi.org/10.1016/j.jclepro.2020.121780CrossRef

World Bank. (2022). Global progress in reducing extreme poverty grinds to a halt. World Bank. https://www.worldbank.org/en/news/press-release/2022/10/05/global-progress-in-reducing-extreme-poverty-grinds-to-a-halt. Accessed 22 Aug 2023

Yang Q, Zhu Y, Liu L, Wang F (2022) Land tenure stability and adoption intensity of sustainable agricultural practices in banana production in China. J Clean Prod 338:130553. https://doi.org/10.1016/j.jclepro.2022.130553CrossRef

Zhou X, Ma W, Zheng H, Li J, & Zhu H (2023) Promoting banana farmers’ adoption of climate-smart agricultural practices: the role of agricultural cooperatives. Clim Dev 0(0), 1–10. https://doi.org/10.1080/17565529.2023.2218333

Zizinga A, Mwanjalolo J-GM, Tietjen B, Bedadi B, Pathak H, Gabiri G, Beesigamukama D (2022) Climate change and maize productivity in Uganda: simulating the impacts and alleviation with climate smart agriculture practices. Agric Syst 199:103407. https://doi.org/10.1016/j.agsy.2022.103407CrossRef

Title: Assessment of socio-economic determinants and impacts of climate-smart feeding practices in the Kenyan dairy sector
Authors: Mercy Nyambura Mburu
John Mburu
Rose Nyikal
Amin Mugera
Asaah Ndambi
Publication date: 01-06-2024
Publisher: Springer Netherlands
Published in: Mitigation and Adaptation Strategies for Global Change / Issue 5/2024
Print ISSN: 1381-2386
Electronic ISSN: 1573-1596
DOI: https://doi.org/10.1007/s11027-024-10131-7

Navigating the currents of coastal narratives in search of sustainable futures

Open Access
Original Article

Correction to: Enhancing crop yields and farm income through climate‑smart agricultural practices in Eastern India

Correction

Leveraging information technology for accelerating residential rooftop solar: A case study from Odisha, India

Original article

A framework for assessing social structure in community governance of sustainable urban drainage systems: insights from a literature review

Open Access
Original Article

Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India

Open Access
Original article

China’s mandarin and tangerine cultivation has not reached the carbon emissions peak

Original Article

Springer Professional

Assessment of socio-economic determinants and impacts of climate-smart feeding practices in the Kenyan dairy sector

Abstract

Other articles of this Issue 5/2024

Navigating the currents of coastal narratives in search of sustainable futures

Correction to: Enhancing crop yields and farm income through climate‑smart agricultural practices in Eastern India

Leveraging information technology for accelerating residential rooftop solar: A case study from Odisha, India

A framework for assessing social structure in community governance of sustainable urban drainage systems: insights from a literature review

Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India

China’s mandarin and tangerine cultivation has not reached the carbon emissions peak

Premium Partner

Springer Professional

Abstract

Please log in to get access to your license.

Navigating the currents of coastal narratives in search of sustainable futures

Correction to: Enhancing crop yields and farm income through climate‑smart agricultural practices in Eastern India

Leveraging information technology for accelerating residential rooftop solar: A case study from Odisha, India

A framework for assessing social structure in community governance of sustainable urban drainage systems: insights from a literature review

Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India

China’s mandarin and tangerine cultivation has not reached the carbon emissions peak