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Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences provides readers with an understanding and appreciation for the design and analysis of mixed models for non-normally distributed data. It is the only publication of its kind directed specifically toward the agricultural and natural resources sciences audience. Readers will especially benefit from the numerous worked examples based on actual experimental data and the discussion of pitfalls associated with incorrect analyses.
The reconciliation of economic development, social justice and reduction of greenhouse gas emissions is one of the biggest political challenges of the moment. Strategies for mitigating CO2 emissions on a large scale using sequestration, storage and carbon technologies are priorities on the agendas of research centres and governments. Research on carbon sequestration is the path to solving major sustainability problems of this century a complex issue that requires a scientific approach and multidisciplinary and interdisciplinary technology, plus a collaborative policy among nations. Thus, this challenge makes this book an important source of information for researchers, policymakers and anyone with an inquiring mind on this subject.
Renewed attention is being given to global agricultural productivity such as food security, food prices, financial viability of farm businesses under rising costs, declining availability and affordability of critical inputs including suitable land, etc.Thus, farming systems need to combine space maintenance and food herds in rural areas. Facing these new challenges, interest in grasses and grasslands as important forage systems has increased over the past 30 years, due to their economic, environmental, and ecological properties. A better use of economic and ecological potentials requires an understanding of their functions, and the development of tools for feeding herds, managing space, maintaining biodiversity, and limiting pollution.This book intends to provide the reader with the latest aspects on grasses and grassland for the well-being of farming systems.
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Lists for 19 include the Mathematical Association of America, and 1955- also the Society for Industrial and Applied Mathematics.
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.