Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT), 2012

Coordinators: Kihara Job, Fatondji Dougbedji, Jones James W, Hoogenboom Gerrit, Tabo Ramadjita, Bationo Andre

Language: English
Cover of the book Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT)

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Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT)
Publication date:
188 p. · 15.5x23.5 cm · Paperback

Approximative price 158.24 €

In Print (Delivery period: 15 days).

Add to cartAdd to cart
Improving soil fertility recommendations in africa using the decision support system for agrotechnology transfer (dssat)
Publication date:
188 p. · 15.5x23.5 cm · Paperback
The book gives a detailed description of the application of DSSAT in simulating crop and soil processes within various Agro-ecological zones in Africa. The book, an output of a series of 3 workshops, provides examples of the application of DSSAT models to simulate nitrogen applications, soil and water conservation practices including effects of zai technology, phosphorus and maize productivity, generation of genetic coefficients, long-term soil fertility management technologies in the drylands, microdosing, optimization of nitrogen x germplasms x water, spatial analysis of water and nutrient use efficiencies and, tradeoff analysis. The minimum dataset requirements for DSSAT is discussed. This book arises from attempts to address the limited use of models in decision support by African agricultural (both soil scientist and agronomists) scientists.

Building capacity for modeling in Africa; A. Bationo,R. Tabo, J. Kihara, G. Hoogenboom, P.S. Traore, K. Boote and J. Jones
Experiments and Data for Model Evaluation and Application; G. Hoogenboom, J.W. Jones, P.C.S. Traore and K.J. Boote
Knowing the African soils to improve fertilizer recommendations; A. Bationo, A. Hartemink, O. Lungu, M. Naimi, P. Okoth, E. Smaling and L. Thiombiano
Uncertainties in simulating crop performance in degraded soils and low input production systems; J. Jones, J. Naab, D. Fatondji, K. Dzotsi, S. Adiku, J. He
The response of maize to N fertilization in a sub-humid region of Ghana; understanding the processes using a crop simulation model; D.S. MacCarthy, P.L.G. Vlek, and B.Y. Fosu-Mensah
Water use and yield of millet under the zai system: understanding the processes using simulation; D. Fatondji, A. Bationo, R. Tabo, J.W. Jones, A. Adamou and O. Hassane
Effect of integrated soil fertility management technologies on the performance of millet in Niger: Understanding the processes using simulation; A. Adamou, R. Tabo, D. Fatondji, O. Hassane, A. Bationo and T. Adam
Evaluation of the Cropgro-Soybean Model For Dual-purpose soybean in Kenya; A. Nyambane, D. Mugendi, G. Olukoye, B. Vanlauwe and V. Wasike
Simulation of potential yields of new rice varieties in the Senegal River Valley, M.E. de Vries, A. Sow, B.V. Bado, and N. Sakane
Beyond Biophysical Recommendations: Towards a New Paridgm, A. Bationo, J. Kihara and A. Adesina
Modeling maize respone to mineral fertilizer on silty clay loam in the northern Savanna zone of Ghana using DSSAT model; M. Fosu, S.S. Buah, R.A.L Kanton and W.A. Agyare

Presents examples on the application of DSSAT models and general crop modelling concepts, using African examples

Presents and discusses minimum dataset requirement for appropriate modelling in DSSAT

Highlights common challenges of crop growth modelling in the African situation