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Global demand for wheat, rice, corn, and other essential grains is expected to steadily rise over the next twenty years. Meeting this demand by increasing production through increased land use is not very likely; and while better crop management may make a marginal difference, most agriculture experts agree that this anticipated deficit must be made up through increased crop yields. The first resource of its kind, Physiology and Biotechnology Integration for Plant Breeding assembles current research in crop plant physiology, plant biotechnology, and plant breeding that is aimed toward improving crop plants genetically while supporting a productive agriculture ecosystem. Highly comprehensive,...
This book provides an overview of the innovations in crop phenotyping using emerging technologies, i.e., high-throughput crop phenotyping technology, including its concept, importance, breakthrough and applications in different crops and environments. Emerging technologies in sensing, machine vision and high-performance computing are changing the world beyond our imagination. They are also becoming the most powerful driver of the innovation in agriculture technology, including crop breeding, genetics and management. It includes the state of the art of technologies in high-throughput phenotyping, including advanced sensors, automation systems, ground-based or aerial robotic systems. It also d...
This book examines the application of soybean genome sequences to comparative, structural, and functional genomics. Since the availability of the soybean genome sequence has revolutionized molecular research on this important crop species, the book also describes how the genome sequence has shaped research on transposon biology and applications for gene identification, tilling and positional gene cloning. Further, the book shows how the genome sequence influences research in the areas of genetic mapping, marker development, and genome-wide association mapping for identifying important trait genes and soybean breeding. In closing, the economic and botanical aspects of the soybean are also addressed.
Revision of the author's thesis (Ph. D) -- University of Aberdeen, 2007.
Discusses advances in research on vegetable physiology and genetics Comprehensive review of research on best practice in cultivation, including soil health, pest management as well as organic and protected vegetable cultivation Wide-ranging coverage of key vegetables such as carrot, lettuce and cabbage
Comprehensive assessment of global agricultural on-farm energy costs, such as lighting and ventilation systems, operation and maintenance of farm machinery, as well as water and irrigation management Explores the development of alternative, renewable energy systems, such as agrivoltaics, biomass heat technologies and anaerobic digestion for producing biogas from organic waste Considers the practical application and implementation of energy-smart farming technologies in crop and livestock production, presenting case studies on energy-smart dairy, pig and poultry farming
Brings together some of the world’s leading experts on the breeding and cultivation of particular fruits Comprehensive coverage of key stone, pome and berry fruits Reviews key advances across the value chain for particular crops that collectively optimise sustainable production
Discusses key methods for monitoring soil health Comprehensive review of techniques to manage soil health, such as the use of rotations, intercropping and cover crops Case studies of ways of supporting smallholders in maintaining soil health in regions such as Africa, Asia and South America.
Puts soil health in the broader context of ecosystem services, conservation and climate change Summarises current research on soil structure and composition Reviews latest developments in understanding nutrient and other cycles in soil
Provides a detailed overview of the recent trends in farm information management systems, including their evolution and role in improving farmer decision making Considers the range of data mining techniques used in decision support systems, such as artificial neural networks and support vector machines Includes a selection of case studies which explore the use of decision support systems in optimising farm management and productivity