Modeling Maize Production towards Site Specific Fertilizer Recommendation in Ghana

Modeling Maize Production towards Site Specific Fertilizer Recommendation in Ghana

Williams Kwame Atakora.

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Mathias Fosu.

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Francis Marthey

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Council for Scientific and Industrial Research

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.

References

40 Cites in Article

Reference Format

T Addiscott,R Wagnenet (1985). Concepts of solute leaching in soils. A review of modeling approach.
T Addiscott,A Whitmore (1987). Computer simulation of changes in soil mineral nitrogen and crop nitrogen during autumn, winter and spring.
S Adu (1995). Unknown Title.
B Badu-Apraku,M Fakorede,S Ajala,L Fontem (2004). Strategies of WECAMAN to promote the adoption of sustainable maize production technologies in West and Central Africa.
G Benneh,G Agyepong,J Allotey (1990). Land degradation in Ghana.
C Black (1965). Methods of soil analysis. Part I. Physical and mineralogical properties, including statistics of measurements and sampling.
L Bundy,T Andraski,J Powell (2001). Management practice effects on phosphorus losses in runoff in corn production systems.
Craig Chase,Michael Duffy,John Webb,Regis Voss (1991). An economic assessment of maintaining high phosphorus and potassium soil test levels.
A Chaudhry (1983). Maize in Pakistan.
F Cox,I Lins (1984). A phosphorus soil test interpretation for corn grown on acid soils varying in crystalline clay content.
A Dankyi,P Sallah,A Adu-Appiah,A Gyamera (2005). Determinants of the adoption of Quality Protein Maize, Obatanpa, in southern Ghana-Logistic regression analysis.
(2008). Useful advancement of the already available FAOSTAT estimations.
G Hoogenboom,J Jones,C Porter,P Wilkens,K Boote,W Batchelor,L Hunt,G Tsuji (2003). Unknown Title.
G Hoogenboom,J Jones,C Porter,P Wilkens,K Boote,W Batchelor,L Hunt,G Tsuji (2003). Unknown Title.
L Hunt,S Pararajasingham (1994). Genotype Coefficient Calculator.
(1995). Final technical report: DOE-High Energy Physics contract with the University of Hawaii.
W Hussan,A Haqqani,S Shafeeq (2003). Climate change effect on major crops production in Balochistan, Pakistan.
Ibsnat (1994). Decision Support System for Agrotechnology Transfer (DSSAT).
M Jemison,J Jabro,R Fox (1994). Evaluation of LEACHM: I. Simulation of drainage, bromide leaching, and corn bromide uptake.
J Jones (1983). Decision support system for agricultural development.
(1993). Systems approaches for agricultural development.
Jim Kiniry,Jimmy Williams,Richard Vanderlip,Jay Atwood,Donald Reicosky,Jerry Mulliken,William Cox,Henry Mascagni,Steven Hollinger,William Wiebold (1997). Evaluation of Two Maize Models for Nine U.S. Locations.
Neil Lecler (1998). Integrated Methods and Models for Deficit Irrigation Planning.
Agricultural System modeling and Simulation.
Laura Lengnick,Richard Fox (1994). Simulation by NCSWAP of Seasonal Nitrogen Dynamics in Corn: I. Soil Nitrate.
K Loague,R Green (1991). Statistical and graphical methods for evaluating solute transport models: overview and application.
Q Ma,R Wauchope,J Hook,C Johnson,C Truman,G Dowler,J Gascho,H Davis,R Summer,L Chandler (1998). GLEAMS, Opus, and PRZM-2 model predicted versus measured runoff from coastal plain loamy sand.
Mofa (2000). Food and Agriculture Sector Development Policy.
M Morris,R Tripp,A Dankyi (1999). Adoption and Impacts of Improved Maize Production Technology. A Case Study of the Ghana Grains Development Project.
Matthew Reynolds,Francisco Pinto,Liana Acevedo,Francisco Pinera-Chavez,Carolina Rivera-Amado (2022). The evolution of trait selection in breeding: from seeing to remote sensing.
W Stewart,D Dibb,A Johnston,T Smyth (2005). The Contribution of Commercial Fertilizer Nutrients to Food Production.
E Matthäus (1982). Penning de Vries, F. W. T., H. H. van Laar (Eds.): Simulation of plant growth and crop production. Centre for Agricultural Publishing and Documentation, Wageningen 1982, 320 pp., DM 25,—.
F Penning De Vries,R Rabbinge,D Jansen,A Bakema (1989). Transfer of systems analysis and simulation in agriculture to developing countries.
Amare Retta,Richard Vanderlip,Randall Higgins,Loren Moshier (1996). Application of SORKAM to Simulate Shattercane Growth Using Forage Sorghum.
Sari (1996). Savanna Agricultural Research Institute.
(2007). National Crop production estimates 2002-2006.
W Stewart,D Dibb,A Johnston,T Smyth (2005). The Contribution of Commercial Fertilizer Nutrients to Food Production.
C Stockel,M Cabelguenne,P Debaeke (1997). Comparison of cropsyst performance for water management in south eastern France using submodels of different levels of complexity.
D Wallach,B Goffinet (1989). Mean squared error of prediction as a criterion for evaluating and comparing system models.
Cort Willmott (1982). Some Comments on the Evaluation of Model Performance.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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How to Cite This Article

Williams Kwame Atakora.. 2014. \u201cModeling Maize Production towards Site Specific Fertilizer Recommendation in Ghana\u201d. 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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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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

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v1.2

Issue date

September 3, 2014

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Article Matrices

Total Score: 103

Country: Ghana

Subject: Global Journal of Science Frontier Research - D: Agriculture & Veterinary

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

View Count (all-time): 150

Total Views (Real + Logic): 4531

Total Downloads (simulated): 2405

Publish Date: 2014 09, Wed

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Total Views: 4531

Total Downloads: 2405

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