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Practical Applications of Agricultural System Models to Optimize the Use of Limited Water
Lajpat R. Ahuja (Edited by), Ahuja (Author), Liwang Ma (Edited by), Robert J. Lascano (Edited by)
9780891183433, Wiley
Hardback, published 13 March 2020
464 pages
1 x 1 x 1 cm, 0.454 kg
Completely devoted to applicati on of models to opti mize the use of limited water and nutrients in various climates, this collecti on will inspire confi dence in the capacity of modeling to tackle the biggest threats to secure agriculture. To obtain the most producti on from available water while maintaining natural resources, we need whole system–based quanti tati ve knowledge and tools to help select appropriate crops and manage water and associated inputs on a site-specifi c basis under changing climate. Site-specifi c experimental results are available for limited locati ons, limited periods of ti me, and limited management opti ons. Well-tested process models of cropping systems can extend fi eld research results to long-term weather conditi ons, as well as other climates and soils, allowing us to explore new management opti ons. The case studies in this volume are promising examples of these kinds of soluti ons.
Foreword vii Preface ix Contributors xi Quantifying Corn Yield and Water Use Efficiency under Growth Stage–Based Deficit Irrigation Conditions Modeling for Best Management of the Effects of Irrigation Frequencies, Initial Water, and Nitrogen on Corn A Mobile Irrigation Water Management System Using a Collaborative GIS and Weather Station Networks Circular Planting to Enhance Rainfall Capture in Dryland Cropping Systems at a Landscape Scale: Measurement and Simulation Quantifying and Managing Corn Water Use Efficiencies under Irrigated and Rainfed Conditions in Nebraska Using the Hybrid-Maize Simulation Model Modeling to Evaluate and Manage Water and Environmental Sustainability of Bioenergy Crops in the United States Using a Model and Forecasted Weather to Predict Forage and Livestock Production for Making Stocking Decisions in the Coming Growing Season Providing User-Oriented Uncertainty Information with a Vineyard Model Used for Irrigation Decisions Determination of Irrigation Depths Using a Numerical Model and Quantitative Weather Forecasts and Comparison with an Experiment Modeling to Evaluate and Manage Climate Change Effects on Water Use in Mediterranean Olive Orchards with Respect to Cover Crops and Tillage Management Modeling Water Management and Food Security in India under Climate Change Irrigation and Water Management Decisions Involving Sugarcane in Southern Africa A Modeling Approach to Explore Water Management Strategies for Late-Sown Maize and Double-Cropped Wheat–Maize in the Rainfed Pampas Region of Argentina Model Applications for Sustainable Intensification of Maize-Based Smallholder Cropping in a Changing World Syntheses of the Current Model Applications for Managing Water and Needs for Experimental Data and Model Improvements to Enhance these Applications About the Series 439
Quan X. Fang, L. Ma, David C. Nielsen, Thomas J. Trout, and L.R. Ahuja 1
S.A. Saseendran, L.R. Ahuja, L. Ma, and T.J. Trout 25
A.A. Andales, T.A. Bauder, and M. Arabi 53
Robert J. Lascano and J. Randall Nelson 85
Haishun Yang and Patricio Grassini 113
James R. Kiniry, Manyowa N. Meki, Thomas E. Schumacher, Cody J. Zilverberg, Felix B. Fritschi, and Vijaya G. Kakani 139
Quan X. Fang, L.R. Ahuja, Allan A. Andales, and Justin D. Derner 161
Sébastien Roux, Xavier Delpuech, Gabriel Daudin, François Brun, Jacques Wery, and Daniel Wallach 183
H. Fujimaki, I. Tokumoto, T. Saito, M. Inoue, M. Shibata, M. Okazaki, K. Nagaz, and Fathia El-Mokh 209
J.A. Gómez, M.T. Rodríguez-Carretero, I.J. Lorite, and E. Fereres 237
Adlul Islam, Paresh Bhaskar Shirsath, Soora Naresh Kumar, Nataraja Subash, Alok K. Sikka, and Pramod K. Aggarwal 267
Neil Louis Lecler 317
Jorge L. Mercau and Maria E. Otegui 351
Mary Ollenburger and Sieglinde Snapp 379
L.R. Ahuja, Liwang Ma, Robert J. Lascano, S.A. Saseendran, Q.X. Fang, David C. Nielsen, Enli Wang, and Paul D. Colaizzi 399
Subject Areas: Agriculture & farming [TV]
