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Big Data in Agriculture
Article . 2022 . Peer-reviewed
Data sources: Crossref
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Big Data in Agriculture
Article . 2022
Data sources: DOAJ
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SOIL FERTILITY MANAGEMENT TECHNIQUES AMONG ARABLE CROP FARMERS IN SOUTHWEST, NIGERIA

Authors: Janet Ojediran; Kehinde Ogunleye; Rasheed Adeola;

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

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Keywords

cultural practices, HD9000-9495, socio-economic, cultivation, Agricultural industries, crops, fertilizer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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