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Statistical Design and Analysis for Intercropping Experiments - Volume 1: Two Crops (Paperback, Softcover reprint of the... Statistical Design and Analysis for Intercropping Experiments - Volume 1: Two Crops (Paperback, Softcover reprint of the original 1st ed. 1993)
Walter T. Federer
R1,415 Discovery Miles 14 150 Ships in 18 - 22 working days

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.

Statistical Design and Analysis for Intercropping Experiments - Volume II: Three or More Crops (Paperback, Softcover reprint of... Statistical Design and Analysis for Intercropping Experiments - Volume II: Three or More Crops (Paperback, Softcover reprint of the original 1st ed. 1999)
Walter T. Federer
R1,406 Discovery Miles 14 060 Ships in 18 - 22 working days

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.

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