IDEAS home Printed from https://ideas.repec.org/p/ags/aaae23/365909.html
   My bibliography  Save this paper

Analyzing dominance of dairy climate smart agricultural practices and implications on milk yield: Evidence from Kenya

Author

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

Abstract

The study aimed at identifying and clustering farmers into typologies of dominant dairy CSA practices and assessed their linkage to milk production. Latent Class Analysis (LCA) was applied in identifying typologies from a sample size of 665 dairy farmers in selected counties in Kenya. Five typologies; health management dominated typology (Typology 1), health and animal husbandry dominated typology (Typology 2), health, animal husbandry, manure and improved feed dominated typology (Typology 3), health, animal husbandry, improved feed and fodder dominated typology (Typology 4), and health, animal husbandry, improved feed and fodder and fodder conservation dominated typology (Typology 5), were identified. The results showed low dominance of over half of the practices studied. Besides, there was low uptake of dairy CSA practices since majority of the dairy farmers belonged to Typologies 1 and 2, which had the lowest number of dominant practices. There were significant differences in milk yield across typologies. Typology 5, with the highest number of dominant practices, had the highest milk average, while Typology 1 with the least number of dominant practices had the lowest milk yield. Higher milk yield was attributed to composting, hay and silage making. The study recommends intensified promotion of dairy CSA practices with attention to fodder conservation-related practices so as to exploit co-benefits of improved milk yield.

Suggested Citation

  • Mburu, Mercy Nyambura & Mburu, John & Nyikal, Rose & Mugera, Amin & Ndambi, Asaah, 2023. "Analyzing dominance of dairy climate smart agricultural practices and implications on milk yield: Evidence from Kenya," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365909, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae23:365909
    DOI: 10.22004/ag.econ.365909
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/365909/files/252.%20Dairy%20in%20Kenya.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.365909?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Clifton Makate & Marshall Makate & Nelson Mango, 2018. "Farm household typology and adoption of climate-smart agriculture practices in smallholder farming systems of southern Africa," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 10(4), pages 421-439, June.
    2. Abed, Rodrigo & Acosta, Alejandro, 2018. "Assessing livestock total factor productivity: A Malmquist Index approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 13(4), December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. So Pyay Thar & Thiagarajah Ramilan & Robert J. Farquharson & Deli Chen, 2021. "Identifying Potential for Decision Support Tools through Farm Systems Typology Analysis Coupled with Participatory Research: A Case for Smallholder Farmers in Myanmar," Agriculture, MDPI, vol. 11(6), pages 1-20, June.
    2. Kathayat, Babita & Dixit, Anil K & Chandel, B S, . "Inter-state variation in technical efficiency and total factor productivity of India’s livestock sector," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 34(Conferenc).
    3. Kumar, Shalander & Craufurd, Peter & Haileslassie, Amare & Ramilan, Thiagarajah & Rathore, Abhishek & Whitbread, Anthony, 2019. "Farm typology analysis and technology assessment: An application in an arid region of South Asia," Land Use Policy, Elsevier, vol. 88(C).
    4. Chung, Rebecca H. & Hadi, Sholih Nugroho, 2025. "Assessment of total factor productivity and methane efficiency of beef cattle producers worldwide," Agricultural Systems, Elsevier, vol. 226(C).
    5. Sankhulani, Linda, 2021. "Impact evaluation of conservation agriculture on smallholder farmers’ livelihood in Zambia and Tanzania," Research Theses 334762, Collaborative Masters Program in Agricultural and Applied Economics.
    6. Makate, Clifton & Mango, Nelson & Makate, Marshall, 2019. "Socioeconomic status connected imbalances in arable land size holding and utilization in smallholder farming in Zimbabwe: Implications for a sustainable rural development," Land Use Policy, Elsevier, vol. 87(C).
    7. Victor O. Abegunde & Melusi Sibanda & Ajuruchukwu Obi, 2020. "Mainstreaming Climate-Smart Agriculture in Small-Scale Farming Systems: A Holistic Nonparametric Applicability Assessment in South Africa," Agriculture, MDPI, vol. 10(3), pages 1-18, February.
    8. Zhihui Chai & Mingjun Tian & Fengtong Yao, 2023. "The Impact of Internet Use on Production Efficiency of Animal Husbandry: Based on the Evidence of 340 Herdsmen in Inner Mongolia, China," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    9. Gabriel Mmila & Lindikaya W. Myeki, 2025. "The Dynamics of Broiler Meat Supply in South Africa and Its Implications for Achieving SDG 2: Zero Hunger," Agriculture, MDPI, vol. 15(12), pages 1-12, June.
    10. Dorothy Birungi Namuyiga & Till Stellmacher & Christian Borgemeister & Jeroen C. J. Groot, 2022. "A Typology and Preferences for Pigeon Pea in Smallholder Mixed Farming Systems in Uganda," Agriculture, MDPI, vol. 12(8), pages 1-15, August.
    11. Victor O. Abegunde & Ajuruchukwu Obi, 2022. "The Role and Perspective of Climate Smart Agriculture in Africa: A Scientific Review," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    12. Charles Kyale Kisumbi & Dr. Angeline Sabina Mulwa(Ph.D.) & Dr. John Mwaura Mbugua, 2023. "Moderating Influence of Environmental Factors on the Relationship between Participatory project Management Life Cycle and Performance of Mango Farming Projects in Makueni County, Kenya," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(5), pages 1026-1044, May.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaae23:365909. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.