Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models with Experiments (eBook, PDF)

Redaktion: Timlin, Dennis J.; Anapalli, Saseendran S.

• Format: PDF

Produktbeschreibung

Enhancing Agricultural Research and Precision Management for Subsistence Farming Insightful applications of crop system models to developing countries to explore climate change mitigation and management decision tools Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models with Experiments delivers an authoritative collection of applications of crop system models to Asian and African environments and evaluates current agricultural systems in developing nations. The book provides models to assist in the precision management of soil, water, fertilizers and manures, soil organic matter, alternative crops, and cultivars in both rainfed and irrigated systems. Contributions cover recent and ongoing research in knowledge gap areas such as modeling the long-term effect of management soil health, the effect of extreme temperatures and drought on evapotranspiration and crop growth, root growth and the uptake of water and nutrients. The book also includes * An introduction to system models integrated with experiments as tools to develop improved management practices for subsistence farming * Explorations of models of soil erosion impacts and trade-offs for sustainable land management practices in Kenya * Discussions of the crop simulation model as a tool to quantify the effects of crop management practices in northern Ethiopia * In-depth examinations of models of water dynamics for assessing and managing ecosystem services in India Perfect for field research scientists and graduate students studying cropping and range systems, and essential reading for agricultural consultants, progressive farmers, plant breeders, and policymakers. Advances in Agricultural Systems Modeling Transdisciplinary Research, Synthesis, and Applications Lajpat R. Ahuja, Series Editor Agricultural system modeling has made substantial progress, but there are still many critical gaps in our knowledge. The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America are taking a leadership role with the initiation of this new series. Future breakthroughs in science and technology lie at the boundaries of disciplines. The new series will * Advance critical transdisciplinary research, and its synthesis and quantification * Encourage collaboration among top researchers in building and improving models * Promote the application of system models to solve practical problems * Achieve better instruction in these models and their applications

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 208
• Erscheinungstermin: 26. April 2022
• Englisch
• ISBN-13: 9780891183921
• Artikelnr.: 63927077

Autorenporträt

Dennis J. Timlin, PhD, is a Research Soil Scientist with the USDA-ARS Adaptive Cropping Systems Laboratory in Beltsville, MD, USA Saseendran S. Anapalli, PhD, is a Research Soil Scientist at the Sustainable Water Management Research Unit, USDA, ARS, USA

Inhaltsangabe

* Summary Chapter
* Modeling Soil Erosion Impacts and Trade Offs of Sustainable Land Management Practices in the Upper Tana Region of the Central Highlands of Kenya
* Use of Crop Simulation Models as a Tool to Quantify the Effect of Crop Management Practices and Climate Change Scenarios on Wheat Yields in Northern Ethiopia.
* The Role of Crop Simulation Modeling in Managing Fertilizer Use in Maize Production Systems in Northern Ghana
* Modeling Water Dynamics For Assessing and Managing Ecosystem Services in India.
* Modeling Agricultural Hydrology and Water Productivity to Enhance Water Management in Arid Irrigation Districts in China.
* Use of Data and Models in Simulating Regional and Geospatial Variations in Climate Change Impacts on Rice and Barley in the Republic of Korea.
* Constraints to Productivity of Subsistence Dryland Agroecosystems in the Fertile Crescent: Simulation and Statistical Modeling.