This text provides statistical and biometrical procedures for designing, conducting, analyzing and interpreting field experiments. It addresses the most important research topics in agriculture, including agronomy, breeding and pasture trials; farming systems research; and intercropping research.

Friendly and readable, Agricultural Marketing and Price Analysis presents a comprehensive approach to agricultural price analysis, agricultural market structures, and agricultural marketing strategies. The authors engage students with very little exposure to economics and with only a basic grasp of algebra. The text utilizes a fresh approach and supplies thorough coverage of core topics, as well as complex topics such as general equilibrium models, game theory, and econometrics. It also provides an introduction to data analysis and incorporates many examples. Supplemental materials are available for additional practice and further exploration. Unique to the Second Edition is the inclusion of a chapter on consumer behavior and food preferences, as well as relevant areas of research. The authors introduce readers to the agricultural supply chain, including forecasting and inventory management. Succinct and approachable, this text sets the stage for an enjoyable and effective learning experience.

Agricultural Prices and Commodity MarketAnalysis discusses the application of economictheory to agriculture and the foodindustry, using quantitative tools. The blendof theory and application is unique in detailinghow demand and supply can be measuredand how econometric simulationmodels can be constructed and evaluated.This revised edition focuses on forecastingand generating long-term projections as wellas discussing the relatively unexplored areaof stochastic modeling, which is critical inhandling crop yield variability. Other topicscovered include agricultural policy analysisand futures/options markets. The role oftime series models in improving structuralequations and forecasting techniques providesa capstone.

This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts. The first part, comprising two chapters, is philosophical in nature and deals with the concepts that define the underlying structure of the MCDM paradigm. The second part is the largest part consisting of five chapters, each of which presents the logic of a specific MCDM technique, and demonstrates how it can be used to model a particular decision problem. In the final part, some selected applications of the MCDM techniques to agricultural problems are presented and thus reinforce the development of an understanding of the MCDM paradigm.The book has been designed for use at different levels: as a textbook for final year undergraduate and postgraduate courses in modelling for decision-making; as a manual for researchers and practising modellers; and, as general reference on the application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily follow the contents of this book.

This book contains 12 chapters focusing on: (i) experimental planning; (ii) sample preparation; (iii) weighing and dispersing; (iv) acid-digestion, ashing and extracting procedures; (v) analysis of soil and compost; (vi) analysis of fertilizers; (vii) analysis of animal feed and plant materials; (viii) analysis of silage; (ix) near infrared spectroscopy; (x) methods in equine nutrition; (xi) methods for organic farmers and growers; and (xii) quality assurance and control.