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)

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789400729605
Veröffentl:
2012
Einband:
eBook
Seiten:
188
Autor:
Job Kihara
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

The book gives a detailed description of the application of DSSAT in simulating crop and soil processes within various Agro-ecological zones in Africa. It presents and discusses minimum dataset requirements for appropriate modeling in DSSAT.
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, 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, 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 response to mineral fertilizer on silty clay loam in the norther Savanna zone of Ghana using DSSAT model; M. Fosu, S.S. Buah, R.A.L Kanton and W.A. Agyare.

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