You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
'An exciting new voice in fantasy writing' - Philip Womack Eadha learns early the cruel nature of the world from Lord Huath, a brutal Channeller. The Channellers rule Domhain, sapping magic from others so that the crops might grow, the cities might prosper, and the dragons might be held at bay. But there is another, more ancient power blossoming in the young Eadha, one that does not consume the life force of others. And as the world and its cruelties rush toward Eadha and Ionain, the boy she has always loved, she faces a terrible choice: make a lie of Ionain’s life or watch him lose everything.
As the public and producers becomes more aware of the environmental and economic benefits of precision farming, there has been increased demand for quality training to accurately evaluate spatial variability within fields. Practical Mathematics in Precision Farming provides hand-on training and examples for certified crop consultants (CCAs), farmers, crop consultants, and students (both undergraduate and graduate) on how to conduct to conduct and analyze on-farm studies, write simple programs, use precision techniques to scout for pests and collect soil samples, develop management zones, determine the cost of production, assess the environmental consequences of precision techniques, understand soil test results, and develop site-specific nutrient and plant population algorithms. Using real agronomic examples, the reader is taught the crucial task of managing products and inputs for application at the right rate, place, and time.
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.
Comprehensive review of key technologies in precision agriculture, from proximal and remote sensing to decision support systems and variable rate technologies Surveys key applications of precision agriculture from controlled traffic farming to site-specific nutrient and water management Includes discussion of the economics of precision agriculture
Comprehensive coverage of the latest research on the genetic diversity of sorghum Reviews key developments in breeding, from conventional to marker-assisted techniques, as well their application in developing higher-yielding, more stress-resistant varieties Discusses key elements in integrated crop, pest and weed management
Abiotic stress represents the main constraint for agriculture, affecting plant growth and productivity worldwide. Yield losses in agriculture will be potentiated in the future by global warming, increasing contamination, and reduced availability of fertile land. The challenge for agriculture of the present and future is that of increasing the food supply for a continuously growing human population under environmental conditions that are deteriorating in many areas of the world. Minimizing the effects of diverse types of abiotic stresses represents a matter of general concern. Research on all topics related to abiotic stress tolerance, from understanding the stress response mechanisms of plan...
Can we unlock resilience to climate stress by better understanding linkages between the environment and biological systems? Agroclimatology allows us to explore how different processes determine plant response to climate and how climate drives the distribution of crops and their productivity. Editors Jerry L. Hatfield, Mannava V.K. Sivakumar, and John H. Prueger have taken a comprehensive view of agroclimatology to assist and challenge researchers in this important area of study. Major themes include: principles of energy exchange and climatology, understanding climate change and agriculture, linkages of specific biological systems to climatology, the context of pests and diseases, methods of agroclimatology, and the application of agroclimatic principles to problem-solving in agriculture.
The book focuses on the principles and practices of tropical maize improvement with special emphasis on early and extra-early maize to feed the increasing population in Sub-Saharan Africa. It highlights the similarities and differences between results obtained in temperate regions of the world and WCA in terms of corroboration or refutation of genetic principles and theory of maize breeding. The book is expected to be of great interest to maize breeders, advanced undergraduates, graduate students, professors and research scientists in the national and international research institutes all over the world, particularly Sub-Saharan Africa. It will also serve as a useful reference for agricultural extension and technology transfer systems, Non-governmental Organizations (NGOs) and Community-Based Organizations (CBOs), seed companies and community-based seed enterprises, policy makers, and all those who are interested in generating wealth from agriculture and alleviating hunger and poverty in Sub-Saharan Africa.
Assesses performance of conventional techniques such as backcross and hybrid breeding in introducing new traits Maps current progress in methods to identify quantitative trait loci (QTL) linking phenotypic traits with genetic information for selection Shows comparative strengths and weaknesses of marker-assisted selection (MAS) techniques such as genome wide association studies (GWAS) and nested association mapping (NAM)