IDEAS home Printed from https://ideas.repec.org/a/zib/zbnbda/v4y2022i2p67-71.html
   My bibliography  Save this article

Soil Fertility Management Techniques Among Arable Crop Farmers In Southwest, Nigeria

Author

Listed:
  • Janet Ojediran

    (Department of Agricultural Extension and Rural Development, Ladoke Akintola University of Technology, Ogbomoso, Nigeria)

  • Kehinde Ogunleye

    (Department of Agricultural Extension and Rural Development, Ladoke Akintola University of Technology, Ogbomoso, Nigeria)

  • Rasheed Adeola

    (Department of Agricultural Extension and Rural Development, Ladoke Akintola University of Technology, Ogbomoso, Nigeria)

Abstract

Soil fertility management techniques (SFMT) among arable crop farmers in southwest, Nigeria was examined. Multiphase techniques were employed in selecting three hundred and fifty (350) arable crop farmers. Data were harvested using a structured interview schedule and analysis was done using descriptive statistics and Person-Product-Moment-Correlation (PPMC). Results indicated that the farmers were majorly married males, mostly aged 50 years using an average of 2.3 ha, cropping mainly cassava (90.0%), maize (82.6%), and yam (70.9%). The respondents used cultural methods, synthetic fertilizers, and organic manure in that order as SFMT. The level of utilization of SFMT was predominantly cultural methods of ridging across the slope with a weighted mean score (WMS) of 2.72, mulching (WMS=2.60), and rotational cropping (WMS=2.26); synthetic fertilizers: NPK (WMS=1.99) and urea (WMS=1.96); organic manure: poultry manure (WMS=0.95) and animal dung (WMS=0.67). PPMC analysis showed that age (r=0.22*) and farm size (r=0.16*) were significantly related to the utilization of SFMT. In conclusion, the respondents were small-scale farmers who utilized majorly cultural methods of SFMT and were mainly influenced by crop type as a function of age and farm size.

Suggested Citation

  • Janet Ojediran & Kehinde Ogunleye & Rasheed Adeola, 2022. "Soil Fertility Management Techniques Among Arable Crop Farmers In Southwest, Nigeria," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 4(2), pages 67-71, November.
  • Handle: RePEc:zib:zbnbda:v:4:y:2022:i:2:p:67-71
    DOI: 10.26480/bda.02.2022.67.71
    as

    Download full text from publisher

    File URL: https://bigdatainagriculture.com/paper/issue22022/2bda2022-67-71.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.26480/bda.02.2022.67.71?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
    ---><---

    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:zib:zbnbda:v:4:y:2022:i:2:p:67-71. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Zibeline International Publishing (email available below). General contact details of provider: https://bigdatainagriculture.com .

    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.