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Statistical Design and Analysis for Intercropping Experiments

Volume 1: Two Crops

  • Textbook
  • © 1993

Overview

Authors:
  1. Walter T. Federer

    1. Biometrics Unit, Cornell University, Ithaca, USA

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Part of the book series: Springer Series in Statistics (SSS)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xx
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  2. Introduction and Definitions

    • Walter T. Federer
    Pages 1-19

  3. One Main Crop Grown with a Supplementary Crop

    • Walter T. Federer
    Pages 20-38

  4. Both Crops Main Crops—Density Constant—Analyses for Each Crop Separately

    • Walter T. Federer
    Pages 39-66

  5. Both Crops Main Crops—Density Constant—Combined Crop Responses

    • Walter T. Federer
    Pages 67-98

  6. Both Crops of Major Interest with Varying Densities

    • Walter T. Federer
    Pages 99-133

  7. Monocultures and Their Pairwise Combinations when Responses Are Available for Each Member of the Combination

    • Walter T. Federer
    Pages 134-159

  8. Monocultures and Their Pairwise Combinations when Separate Crop Responses Are Not Available

    • Walter T. Federer
    Pages 160-195

  9. Spatial and Density Arrangements

    • Walter T. Federer
    Pages 196-224

  10. Some Analytical Variations for Intercropping Studies

    • Walter T. Federer
    Pages 225-241

  11. Experiment Designs for Intercropping Experiments

    • Walter T. Federer
    Pages 242-293

  12. Back Matter

    Pages 295-299
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Keywords

About this book

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.

Authors and Affiliations

  • Biometrics Unit, Cornell University, Ithaca, USA

    Walter T. Federer

Bibliographic Information

  • Book Title: Statistical Design and Analysis for Intercropping Experiments

  • Book Subtitle: Volume 1: Two Crops

  • Authors: Walter T. Federer

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4613-9305-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1993

  • Softcover ISBN: 978-1-4613-9307-8Published: 12 October 2011

  • eBook ISBN: 978-1-4613-9305-4Published: 06 December 2012

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XX, 298

  • Topics: Statistics for Life Sciences, Medicine, Health Sciences, Agriculture, Geometry

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