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Titlebook: Statistical Design and Analysis for Intercropping Experiments; Volume 1: Two Crops Walter T. Federer Textbook 1993 Springer-Verlag New York

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书目名称Statistical Design and Analysis for Intercropping Experiments
副标题Volume 1: Two Crops
编辑Walter T. Federer
视频video
丛书名称Springer Series in Statistics
图书封面Titlebook: Statistical Design and Analysis for Intercropping Experiments; Volume 1: Two Crops Walter T. Federer Textbook 1993 Springer-Verlag New York
描述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.
出版日期Textbook 1993
关键词Statistica; agriculture; design; estimator; field; multivariate statistics; proving; soil; statistics; techni
版次1
doihttps://doi.org/10.1007/978-1-4613-9305-4
isbn_softcover978-1-4613-9307-8
isbn_ebook978-1-4613-9305-4Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer-Verlag New York, Inc. 1993
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Some Analytical Variations for Intercropping Studies,ic discussed is a replacement series wherein the ratio of one crop to a second varies from zero to one. In this set-up, a land equivalent ratio (LER) approaches one as the proportion of a crop approaches unity. Some statistical analyses are presented for a set of data involving two wheat varieties where their proportions vary from zero to one.
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Monocultures and Their Pairwise Combinations when Separate Crop Responses Are Not Available,e for each variable measured. This results from a physical or experimental inability to measure the response of each component of the mixture, but it is still desirable to model the responses as was done in Chapter 6. We do this in the present chapter.
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