Abstract
In Volume I, Chapter 6, biological models for cultivars in mixtures were presented for m cultivars in mixtures of n = 2 cultivars. In this chapter, we generalize the concepts and statistical methods to m cultivars in mixtures of size n cultivars following the approach of Federer and Raghavarao (1987). These authors considered minimal designs to estimate all types of mixing abilities for m cultivars in mixtures of size n. They built upon the ideas in (1976), (1979), and (1976) to obtain the theoretical results for this chapter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literature Cited
Ezumah, H.C., W.T. Federer, and G.O. Myers (1991) Intercropping cassava with grain legumes in humid Africa. 1. cowpea yields. BU-1108-MC, Technical Report Series, Biometrics Unit, Cornell University, May.
Federer, W.T., A. Hedayat, C.C. Lowe, and D. Raghavarao (1976) Application of statistical design theory to crop estimation with special reference to legumes and mixtures of cultivars. Agron. J. 68, 914–919.
Federer, W.T. (1979). Statistical design and response models for mixtures of cultivars. Agron. J. 71, 701–706.
Federer, W.T. and D. Raghavarao (1987). Response models and minimal designs for mixtures of n and m items useful for intercropping and other investigations. Biometrika 74, 571–577.
Hall, D.B. (1976). Mixing designs: A general model, simplifications, and some minimal designs. M.S. Thesis, Cornell University, Ithaca,NY.
Rights and permissions
Copyright information
© 1999 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
(1999). Mixing Ability Effects When Individual Cultivar Responses Are Available. In: Statistical Design and Analysis for Intercropping Experiments. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22647-7_5
Download citation
DOI: https://doi.org/10.1007/978-0-387-22647-7_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98533-6
Online ISBN: 978-0-387-22647-7
eBook Packages: Springer Book Archive