This book aims at bringing out comprehensive information on cropping systems modelling in the world. The major focus of this book is to address the integration of soil, plant and environmental interactions for climate smart agriculture. This book covers aspects of application of Decision Support System for Agrotechnology Transfer (DSSAT) for climate smart agriculture. Step-by-step details of application of modelling approaches used for various cropping systems under changing climate are provided which are being adopted by farmers in the world. The book is enriched with figures or diagrams to show the various mechanisms involved to support the decision making for climate change adaptations. Essential information is given regarding crop models calibration, evaluation and application and every individual chapter is comprised of a specific cropping system. Further contents include integration of climate models and crop models for refining the decisions for sustaining the production of various cropping systems for climate smart agriculture. This book assists the agricultural scientists involved in research regarding climate smart agriculture for improving the standards of agricultural research for ensuring food security under changing climate. This is also equally useful for policy makers being involved in future planning.

Achieving food security and economic developmental objectives in the face of climate change and rapid population growth requires systems modelling approaches, for example in the design of sustainable agriculture farming systems. Such approaches increase our understanding of system responses to different soil and climatic conditions, and provide insights into the effects of various variable climate change scenarios, providing valuable information for decision-makers. Further, in the agricultural sector, systems modelling can help optimise crop management and adaptation measures to boost productivity under variable climatic conditions. Presenting key outcomes from crop models used in agricultural systems this book is a valuable resource for professionals interested in using modelling approaches to manage the growth and improve the quality of various crops.

Modeling Processes and Their Interactions in Cropping Systems A complete discussion of soil-plant-climate-management processes In Modeling Processes and Their Interactions in Cropping Systems: Challenges for the 21st Century, a team of distinguished researchers delivers a comprehensive and up-to-date scientific textbook devoted to teaching the modeling of soil-plant-climate-management processes at the upper undergraduate and graduate levels. The book emphasizes the new opportunities and paradigms available to modern lab and field researchers and aims to improve their understanding and quantification of individual processes and their interactions. The book helps readers quantify field research results in terms of the fundamental theory and concepts broadly generalizable beyond specific sites, as well as predict experimental results from knowledge of the fundamental factors that determine the environment and plant growth in different climates. Readers will also discover: An introduction to water and chemical transport in the soil matrix and macropores Explorations of heat transport, water balance, snowpack, and soil freezing Discussions of merging machine learning with APSIM models to improve the evaluation of the impact of climate extremes on wheat yields in Australia Examinations of the quantification and modeling of management effects on soil properties, including discussions of tillage, reconsolidation, crop residues, and crop management The book will be essential reading for anyone interested in the 2030 breakthroughs in agriculture identified by the National Academies of Sciences, Engineering, and Medicine.

This contributed volume describes management practices based on interdisciplinary and convergence science approaches from different disciplines of agricultural science to enhance the resilience of dryland agriculture. The main focus of this book is to address the current issues and trends along with future prospects and challenges in adopting salient agricultural management practices in drylands globally under a climate-change scenario. Climate change and global warming have profound repercussions on increasing frequency, severity, and duration of droughts and/or floods, which may have implications for future productivity of dryland agriculture, e.g., more water shortages or abundances and high or low runoff rates, diminished crop yields, and reduced water productivity. In past few years, many technological advancements and management strategies have been evolved to tackle the climate-induced risks of dryland agriculture considering interdisciplinary and convergence approaches that integrate knowledge from multi-disciplines. This book is an attempt to bridge the gap in literature by unraveling controversies and characteristics of dryland ecosystems under the changing climate and dealing with detailed procedures of applying the advanced practices adapted to climate change for management of dryland agriculture. This edited book is of interest to ecologists, economists, environmentalists, geologists, horticulturalists, hydrologists, soil scientists, social scientists, natural resource conservationists and policy makers dealing with dryland agriculture. This book offers a broad understanding of dryland agriculture and assists the reader to identify both the current as well as the probable future state of dryland agriculture in a global context.

Global crop production must substantially increase to meet the needs of a rapidly growing population. This is constrained by the availability of nutrients, water, and land. There is also an urgent need to reduce the negative environmental impacts of crop production. Collectively, these issues represent one of the greatest challenges of the twenty-first century. Sustainable cropping systems based on ecological principles are the core of integrated approaches to solve this critical challenge. This special issue provides an international basis for revealing the underlying mechanisms of sustainable cropping systems to drive agronomic innovations. It includes review and original research articles that report novel scientific findings on improvement in cropping systems related to crop yields and their resistance to biotic and abiotic stressors, resource use efficiency, environmental impact, sustainability, and ecosystem services.

Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Res

Advances in Agronomy, Volume 117, the latest release in this leading reference on agronomy, contains a variety of updates and highlights new advances in the field. Chapters in this new release include Farming Systems Research: Concepts, Design and Methodology, Soil Potassium Fertility and Management Strategies in South Asian Agriculture, Sensing for Characterizing and Monitoring Soil Functions – A Review, Isolation and Fractionation of Organic Matter from Soils and Waters, Tolerance Mechanism and Management Concepts of Iron Toxicity in Rice: A Critical Review, and Smart Sensing and Automated Irrigation for Sustainable Rice Systems: A State of the Art Review. Includes numerous, timely, state-of-the-art reviews on the latest advancements in agronomy Features distinguished, well recognized authors from around the world Builds upon this venerable and iconic review series Covers the extensive variety and breadth of subject matter in the crop and soil sciences

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.