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Группа авторов. Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models with Experiments
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models with Experiments
1 Introduction: System Models Integrated with Experiments Can Be Useful Tools to Develop Improved Management Practices for Subsistence Farming to Address Increased Intensification and Climate Change
References
2 Modeling Soil Erosion Impacts and Trade‐Offs of Sustainable Land Management Practices in the Upper Tana Region of the Central Highlands in Kenya
Abstract
Introduction
Materials and Methods. Study Site and Farming System Selection
Household and Biophysical Data Collection
Baseline Erosion Calculations
Bio‐Economic Modeling with FarmDESIGN
Inventory and Prioritization of Sustainable Land Management Practices
Sustainable Land Management Scenario Description
Results and Discussion. Soil Quality, Erosion, and N Balances
GHG Emissions
Profitability
Scenario Impacts
Conclusions
Acknowledgments
Abbreviations
References
3 Using Crop Simulation Models as Tools to Quantify Effects of Crop Management Practices and Climate Change Scenarios on Wheat Yields in Northern Ethiopia
Abstract
Introduction
Materials and Methods. Study Site
Model Setup and Agronomic Management Simulation Scenarios
Simulation Scenarios for Climate Change Risk Assessment
Results and Discussion. Effects of Planting Dates
Effects of Plant Densities
Effects of Water Management
Effects of N Fertilization Rates
Effects of Future Climate Change under Different Crop Management Practices
Conclusions
Acknowledgments
Abbreviations
References
4 The Role of Crop Simulation Modeling in Managing Fertilizer Use in Maize Production Systems in Northern Ghana
Abstract
Introduction
Methodology. Study Area
Field Experiments
Model Description
Evaluation of Model Performance
Derivation of Maize Yield Maps for the Three Northern Regions
Results and Discussions. Calibration and Validation of the DSSAT Model for Maize Varieties
Simulation of Maize Yields in the Guinea Savanna Zone of Ghana under Diverse Nutrient, Soil Water, and Management Conditions
Yield Mapping and Production Domains within Northern Ghana for Various Maize Varieties
Conclusion
Acknowledgment
Abbreviations
References
5 Modeling Water Dynamics for Assessing and Managing Ecosystem Services in India
Abstract
Introduction
Modeling of Agro‐Ecosystem Services
Agro‐Ecosystem Models
Modeling of Water‐Regulating Agro‐Ecosystem Services under Climate Change
Infiltration
Groundwater Recharge
Surface Water Evaporation
Potential Evapotranspiration
Surface Runoff
Surface Water Storage
Soil Erosion
Summary
Abbreviations
References
6 Modeling Agricultural Hydrology and Water Productivity to Enhance Water Management in the Arid Irrigation District of China
Abstract
Introduction
Materials and Methods. The Study Area. Study Area and Data
Experiments and Data
Method. Agricultural Water Productivity with Shallow Groundwater Model at Field Scale
Crop Module
Description of Soil Module
Actual Evapotranspiration Module
Division of Hydrological Response Unit at Regional Scale
Model Calibration and Validation. Model Calibration and Validation at Field Scale
Sensitivity Analysis of Parameters
Uncertainty Analysis of Parameters
Model Calibration and Validation at Regional Scale
Water Productivity and Irrigation Water Productivity
Results. Evaluation of the AWPM‐SG Model. Evaluation of the AWPM‐SG Model at Field Scale
Soil Moisture: Calibration and Validation
Groundwater Table: Calibration and Validation
Crop Leaf Area Index: Calibration and Validation
Parameter Sensitivity and Uncertainty Analysis
Evaluation of the AWPM‐SG Model at Regional Scale
Groundwater Contribution to ET
Discussion. Relationship between Groundwater Upward Flux to Evapotranspiration and Average Groundwater Depth
Relationship between Water Productivity and Groundwater Depth under Various Irrigation Amounts. Spatial Distribution of WP and IWP
Relationship between Water Productivity and Groundwater Depth
Relationship between Irrigation Water Productivity and Groundwater Depth
Conclusions
Acknowledgments
Abbreviations
References
7 Use of Data and Models in Simulating Regional and Geospatial Variations in Climate Change Impacts on Rice and Barley in the Republic of Korea
Abstract
Introduction
Simulation of Grain Yields of Barley and Rice under Climate Change. Field Experimental Data
Simulation of Rice and Barley
Simulation of the Climate Change Impacts on Barley and Rice
Varietal, Local, and Geographical Variations in Grain Yields of Barley and Rice in a Changing Climate
Management Options and Outlines of the Geospatial Crop Projections under Climate Change as a Tool to Guide Management by Producers
Summary and Conclusion
Acknowledgments
Abbreviations
References
8 Constraints to Productivity of Subsistence Dryland Agroecosystems in the Fertile Crescent: Simulation and Statistical Modeling
Abstract
Introduction
Materials and Methods. Countries and Locations
Weather Data
Sources of Crop Data
Crops
Crop Rotations
Soil Data
Simulation Modeling
Model Evaluation
Statistical Modeling
Data Management
Results and Discussion. Simulation Results
Statistical Modeling
Monthly Rainfall
Variance Estimates
Geographic and Agronomic Matrix Distances
Yield Gaps
Conclusions
Abbreviations
References
Index
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EDITORS Dennis J. Timlin, Saseendran S. Anapalli
CONTRIBUTORS Samuel G. K. Adiku, Department of Soil Science, School of Agriculture, College of Basic and Applied Sciences University of Ghana, Legon, Accra, Ghana; Shakir Ali, Principal Scientist, Indian Institute of Soil and Water Conservation (IISWC) Research Centre, Kota (Rajasthan) India; Saseendran S. Anapalli, USDA_ARS Sustainable Water Management Research Unit, Stoneville, MS; Aleme Araya, Department of Agronomy, Kansas State University, Manhattan, KS; Celine Birnholz, International Center for Tropical Agriculture (CIAT), Nairobi, Kenya; Ignacio A. Ciampitti, Department of Agronomy, Kansas State University, Manhattan, KS; Bright S. Freduah, Soil and Irregation Research Centre, University of Ghana, Kapong, Ghana; Xiaoyu Gao, Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, 010018, China; Prasanna H. Gowda, USDA‐ARS, Southeast Area, Stoneville, MS; Zailin Huo, Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Adlul Islam, Natural Resource Division, Indian Council of Agricultural Research, New Delhi, India; Abdullah A. Jaradat [Deceased], Research Agronomist, USDA‐ARS, North‐Central Soil Conservation Research Laboratory, Morris, MN; Seungtaek Jeong, Applied Plant Science, Chonnam National University, Gwangju, Republic of Korea; Alpha Y. Kamara, International Institute of Tropical Agriculture, R4D Unit, Ibaden, Nigeria; Han‐Yong Kim, Applied Plant Science, Chonnam National University, Gwangju, Republic of Korea; Jonghan Ko, Applied Plant Science, Chonnam National University, Gwangju, Republic of Korea; Joseph Kugbe, Department of Soil Science, University of Development Studies, Nyankpala, Ghana; Byunwoo Lee, Plant Science, Seoul National University, Seoul, Republic of Korea; Dilys S. MacCarthy, Soil and Irregation Research Centre, School of Agriculture, College of Basic and Applied Sciences, University of Ghana, Kapong, Ghana; Ravic Nijbroek, International Center for Tropical Agriculture (CIAT), Nairobi, Kenya; Prabhat R. Ojasvi, ICAR‐Indian Institute of Soil and Water Conservation Research Centre, Rajasthan, India; Birthe Paul, International Center for Tropical Agriculture (CIAT), Nairobi, Kenya; P.V. Vara Prasad, Department of Agronomy, Kansas State University; Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification, Kansas State University, Manhattan, KS; Zhongyi Qu, Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, China; Charles W. Rice, Department of Agronomy, Kansas State University, Manhattan, KS; Rolf Sommer, International Center for Tropical Agriculture (CIAT), Nairobi, Kenya; Pengcheng Tang, Institute of Water Resources for Pastoral Area, China Institute of Water Resources and Hydropower Research, Hohhot, 010020, China; Dennis J, Timlin, USDA‐ARS Adaptive Cropping Systems Laboratory, Henry A. Wallace Agricultural Research Center, Beltsville, MD
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