By Walter T. Federer
Intercropping is a space of study for which there's a determined want, either in constructing international locations the place everyone is quickly depleting scarce assets and nonetheless ravenous, and in constructed nations, the place extra ecologically and economically sound methods of feeding ourselves has to be built. the one released directions for carrying out such study and examining the information were scattered approximately in a variety of magazine articles, lots of that are difficult to discover. This booklet condenses those tools and may be immensely helpful to agricultural researchers and to the statisticians who aid them layout their experiments and interpret their effects.
Read or Download Statistical Design and Analysis for Intercropping Experiments : Volume II: Three or More Crops (Springer Series in Statistics) PDF
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Extra info for Statistical Design and Analysis for Intercropping Experiments : Volume II: Three or More Crops (Springer Series in Statistics)
Sample text
Further, suppose that the paddies are in a rectangular arrangement. 1. In this figure, m maize alone, b beans alone, and mb maize and beans intercropped. What is the best way to fill in the unmarked edges to consider such treatments as 3b : m, 2b : 2m, b : 3m, 3b : mb, 2b : 2mb, b : 3mb? , not mb) from the paddy edges, use may be made of the Veevers and Zaraf (1982) approach or of other approaches described in Chapter 8 of Volume I. A balanced arrangement of m and b would be used such that the rice paddy had m on 0, 1, 2, 3, and 4 edges of the paddy and b on the remaining edges.
Experimental Design – Theory and Application. Oxford & IBH Publishing Company, Calcutta. (Reprint of book published by Macmillan, New York, 1955). , A. T. Federer (1981). Factorial Designs. , New York. Veevers, A. and M. Zaraf-Yab (1982). A two-variety square lattice design balanced under Besag’s coding scheme. J. Roy. Statist. , B 44, 47-48. 1 Introduction In many situations involving intercropping, three or more of the crops in a mixture may be considered to be the main crops. The grower is interested in a farming system and not necessarily in how each crop in the mixture performs.
Francis), University of Nebraska Press, Lincoln, pp. 234-249. Federer, W. T. (1993b). Statistical Design and Analysis for Intercropping Experiments. Volume I : Two Crops. Springer-Verlag, New York. Federer, W. T. and B. R. Murty (1987). Uses, limitations, and requirements of multivariate analyses for intercropping experiments. In Biostatistics (Editors: I. B. MacNeill and G. J. Umphrey), D. Reidl, Dortrecht, The Netherlands, pp. 269-283. Federer, W. T. and S. J. Schwager (1982). On the distribution of land equivalent ratios.