Walter T. Federer

Intercropping is a method of sustaining or improving soil structure by growing two or more crops on the same field. It is a technique of wide application and of growing importance for both commercial and subsistence farmers. This textbook provides a comprehensive survey of the design and analysis of intercropping experiments. Its main themes are that techniques such as relative indices make it possible to cover a wide variety of conditions, and that statistical models for density-yield relations enable recommendations to be made to growers of crops. As a result, graduate students and researchers in statistics, biometry, and agriculture whose study involves intercropping will find this an invaluable text and reference.

Volume 1: Two Crops

Statistical Design and Analysis for Intercropping Experiments

Walter Theodore Federer

Freedom King

A complete and up-to-date discussion of optimal split plot andsplit block designs Variations on Split Plot and Split Block ExperimentDesigns provides a comprehensive treatment of the design andanalysis of two types of trials that are extremely popular inpractice and play an integral part in the screening of appliedexperimental designs—split plot and split block experiments.Illustrated with numerous examples, this book presents atheoretical background and provides two and three error terms, athorough review of the recent work in the area of split plot andsplit blocked experiments, and a number of significant results. Written by renowned specialists in the field, this bookfeatures: Discussions of non-standard designs in addition to coverage ofsplit block and split plot designs Two chapters on combining split plot and split block designsand missing observations, which are unique to this book and to thefield of study SAS® commands spread throughout the book, which allowreaders to bypass tedious computation and reveal startlingobservations Detailed formulae and thorough remarks at the end of eachchapter Extensive data sets, which are posted on the book's FTPsite The design and analysis approach advocated in Variations onSplit Plot and Split Block Experiment Designs is essential increating tailor-made experiments for applied statisticians fromindustry, medicine, agriculture, chemistry, and other fields ofstudy.

Variations on Split Plot and Split Block Experiment Designs

A complete and up-to-date discussion of optimal split plot and split block designs Variations on Split Plot and Split Block Experiment Designs provides a comprehensive treatment of the design and analysis of two types of trials that are extremely popular in practice and play an integral part in the screening of applied experimental designs--split plot and split block experiments. Illustrated with numerous examples, this book presents a theoretical background and provides two and three error terms, a thorough review of the recent work in the area of split plot and split blocked experiments, and a number of significant results. Written by renowned specialists in the field, this book features: * Discussions of non-standard designs in addition to coverage of split block and split plot designs * Two chapters on combining split plot and split block designs and missing observations, which are unique to this book and to the field of study * SAS? commands spread throughout the book, which allow readers to bypass tedious computation and reveal startling observations * Detailed formulae and thorough remarks at the end of each chapter * Extensive data sets, which are posted on the book's FTP site The design and analysis approach advocated in Variations on Split Plot and Split Block Experiment Designs is essential in creating tailor-made experiments for applied statisticians from industry, medicine, agriculture, chemistry, and other fields of study.

Intercropping is an area of research for which there is a desperate need, both in developing countries where people are rapidly depleting scarce resources and still starving, and in developed countries, where more ecologically and economically sound ways of feeding ourselves must be developed. The only published guidelines for conducting such research and analyzing the data have been scattered about in various journal articles, many of which are hard to find. This book condenses these methods and will be immensely valuable to agricultural researchers and to the statisticians who help them design their experiments and interpret their results.

Walter T. Federer

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