Modeling Maize Production towards Site Specific Fertilizer Recommendation in Ghana

Williams Kwame Atakora.; Mathias Fosu.

Modeling Maize Production towards Site Specific Fertilizer Recommendation in Ghana

Williams Kwame Atakora. * §

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Mathias Fosu.

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§ CSIR-Savanna Agricultural Research Institute

Modeling Maize Production towards Site Specific Fertilizer Recommendation in Ghana

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Abstract

The use of crop growth simulation models such as those incorporated into Decision Support System for Agro technology Transfer (DSSAT) are useful tools for assessing the impacts of crop productivity under various management systems. The maize growth model of DSSAT is CERES-Maize. To use it to predict fertilizer recommendation for maize (Zea mays L.) under Guinea savanna agro ecological conditions, data on maize growth, yield and development as well as data on soil and weather were collected from field experiment conducted during the 2010 growing season at Kpalesawgu in Ghana. The model was calibrated using various crop growth and development data observed at the field experiment at Kpalesawgu. Maize variety obatanpa was used in the experiment. The cultivar coefficient was calibrated with data collected from the field experiment. All measured data on phenology, grain yield and biomass from the field experiment were used for model validation and simulations.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

Williams Kwame Atakora., Mathias Fosu.. 2014. "Modeling Maize Production towards Site Specific Fertilizer Recommendation in Ghana". Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 14 (GJSFR Volume 14 Issue D6).

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GJSFR Volume 14 Issue D6

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-D Classification FOR Code: 820401

079999

Submission ReceivedMay 29, 2014
Peer Review Double Blind
Handling Editor
Accepted June 20, 2014
Published July 1, 2014

Version of record

v1.2

Issue date

September 3, 2014

Language

English

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Article Matrices

Total Score: 147

Country: Ghana

Subject: Global Journal of Science Frontier Research

Authors: Williams Kwame Atakora., Mathias Fosu., Francis Marthey (PhD/Dr. count: 0)

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