EconPapers    
Economics at your fingertips  
 

SOIL FERTILITY MANAGEMENT TECHNIQUES AMONG ARABLE CROP FARMERS IN SOUTHWEST, NIGERIA

Janet Ojediran (), Kehinde Ogunleye and Rasheed Adeola
Additional contact information
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

Big Data In Agriculture (BDA), 2022, vol. 4, issue 2, 67-71

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.

Keywords: Crops; Cultivation; Cultural Practices; Socio-Economic; Fertilizer (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/paper/issue22022/2bda2022-67-71.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:4:y:2022:i:2:p:67-71

DOI: 10.26480/bda.02.2022.67.71

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-20
Handle: RePEc:zib:zbnbda:v:4:y:2022:i:2:p:67-71