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International Journal of Agricultural Research
  Year: 2020 | Volume: 15 | Issue: 2 | Page No.: 48-54
DOI: 10.3923/ijar.2020.48.54
 
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Determination of Minimum Data Set for Vegetable Fields under Biofertilizer-fortified Compost Farming in Southwestern Nigeria
Oke Kingsley Oyediran , Oyewumi Samuel Olusegun and Ojo Olubunmi Peter

Abstract:
Background and Objective: The concept of minimum data set determination for agricultural soils is vital and indispensable for appraising the functional status of soils and for validating the appropriateness of different management practices. The present study aimed at selecting factors as Minimum Data Set (MDS) and to integrate the selected factors into a unified Soil Quality Index (SQI) for vegetable fields under selected biofertilzer-fortified compost farming systems in southwestern Nigeria (6°.35'N and 4°.50' E). Materials and Methods: The farms are organic vegetable fields located in 5 out of the 6 states in the study area. The MDS indicators were selected by using the Principal Component Analysis (PCA)/correlation coefficient analysis approach on 12 soil physicochemical and biological properties. The linear function approach was used for indicator scoring, while indicator scores were integrated to obtain a unified SQI value. Results: Significant values were obtained for all physicochemical and biological properties examined. Four uncorrelated and independent soil properties (IR, BD, pH and Av.P) were selected as MDS indicators. Also, MDS indicator scores and SQI value recorded were significantly high. Conclusion: Functional MDS indicators and significant SQI value were determined for the present study area as influenced by biofertilzer-fortified compost application.
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How to cite this article:

Oke Kingsley Oyediran, Oyewumi Samuel Olusegun and Ojo Olubunmi Peter, 2020. Determination of Minimum Data Set for Vegetable Fields under Biofertilizer-fortified Compost Farming in Southwestern Nigeria. International Journal of Agricultural Research, 15: 48-54.

DOI: 10.3923/ijar.2020.48.54

URL: https://scialert.net/abstract/?doi=ijar.2020.48.54

 
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