Statistical Procedures for Agricultural Research

Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied.
An International Rice Research Institute Book

Elements of Experimentation.

Single-Factor Experiments.

Two-Factor Experiments.

Three-or More-Factor Experiments.

Comparison Between Treatment Means.

Analysis of Multiobservation Data.

Problem Data.

Analysis of Data from a Series of Experiments.

Regression and Correlation Analysis.

Covariance Analysis.

Chi-Square Test.

Soil Heterogeneity.

Competition Effects.

Mechanical Errors.

Sampling in Experimental Plots.

Experiments in Farmers' Fields.

Presentation of Experimental Results.

Appendices.

Index. About the authors KWANCHAI A. GOMEZ is Head of the Department of Statistics at the International Rice Research Institute in the Philippines and an Affiliate Professor of Statistics at the University of the Philippines at Los Ba?os. Dr. Gomez received her PhD in experimental statistics from North Carolina State University. ARTURO A. GOMEZ is a Professor of Agronomy at the University of the Philippines at Los Ba?os and a consultant to the Ministry of Agriculture of the Republic of the Philippines. Dr. Gomez received his PhD in genetics from North Carolina State University. The Agricultural Field Experiment A Statistical Examination of Theory and Practice S.C. Pearce Here is a comprehensive overview of the statistical knowledge needed to conduct successful field experiments on crops. Blending theory and practice, it covers a wide range of subjects from the fertility of fields and the allocation of resources to the cooperative efforts needed for a successful experiment. 1983 (0 471-10511-2) 335 pp. Statistics for Experimenters An Introduction to Design, Data Analysis, and Model Building George E. P. Box, William G. Hunter and J. Stuart Hunter This fresh approach to statistics focuses on applications in the physical, engineering, biological, and social sciences. Written for the non-statistician, the book emphasizes the need for the investigator to make his research as effective as possible through the proper choice and conduct of experiments, and the appropriate analysis of data. Included are numerous worked examples, exercises with answers), and end-of-chapter questions and problems. 1978 (0 471-09315-7) 653 pp.