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Having indicators to assess the effect of zootechnical, sanitary, economic or political intervention or the impact of environmental risks makes it possible to draw up strategies for improving domestic animal populations. This handbook is a compilation of the main concepts relating to the definition and calculation of demographic rates for largely non-intensive tropical animal farms. It is intended to be educational, and should help students, technicians, engineers, researchers and development staff to understand the definitions and formulas encountered in the literature more clearly and make them more self-sufficient in terms of analyses.
What is family farming? How can it help meet the challenges confronting the world? How can it contribute to a sustainable and more equitable development? Not only is family farming the predominant form of agriculture around the world, especially so in developing countries, it is also the agriculture of the future. By declaring 2014 the “International Year of Family Farming,” the United Nations has placed this form of production at the center of debates on agricultural development. These debates are often reduced to two opposing positions. The first advocates the development of industrial or company agriculture, supposedly efficient because it follows industrial processes for market-orien...
The efficient functioning of the livestock sector, encompassing all facets of input supply, production, processing and marketing, is critical for food security and safety. This book draws on both extensive literature and experience in animal health economics and livestock issues in Europe, Asia, Africa and Latin America. It provides comprehensive coverage of the history of livestock and animal health economics, theory and tools for the economics of animal health and production, a review of the application of economics to animal diseases and health problems, and worldwide examples of economic analysis and policy making.
While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will provide results most like those from SAS or SPSS. I provide many example programs done in SAS, SPSS, and R so that you can see how they compare topic by topic. When finished, you should be able to use R to: Read data from various types of text files and SAS/SPSS datasets. Manage your data through transformations or recodes, as well as splitting, merging and restructuring data sets. Create publication quality graphs including bar, histogram, pie, line, scatter, regression, box, error bar, and interaction plots. Perform the basic types of analyses to measure strength of association and group differences, and be able to know where to turn to cover much more complex methods.
In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language.
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By contrasting different approaches and datasets, this book highlights critical developments in latest corpus-linguistic research.