By Walter T. Federer
Intercropping is a space of analysis for which there's a determined desire, either in constructing international locations the place individuals are quickly depleting scarce assets and nonetheless ravenous, and in built international locations, the place extra ecologically and economically sound methods of feeding ourselves has to be constructed. the single released instructions for undertaking such examine and studying the knowledge were scattered approximately in numerous magazine articles, a lot of that are challenging to discover. This publication condenses those tools and may be immensely worthy to agricultural researchers and to the statisticians who support them layout their experiments and interpret their effects.
Read Online or Download Statistical Design and Analysis for Intercropping Experiments: Volume II: Three or More Crops PDF
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Additional info for Statistical Design and Analysis for Intercropping Experiments: Volume II: Three or More Crops
Even if this were the case, it still might be wise to include all sole crops for biological modeling purposes and to have a point of reference. 3. The 350:1 ratio appears to be an abnormality, as bean yield was unduly low. 1 of Volume I. 3 where ratios of 350:1 and 3:1 were obtained at the two locations. The treatments to be included in an experiment require thoughtful consideration. The goals for each intercropping experiment should be carefully pondered. Then, the treatment design can be formulated to meet the needs of the experiment.
T. (1967). 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.
Each experiment should be considered on its own merit and should not be copied from another experiment. The axiom in Chapter 10 of Volume I, that the design should be tailored for the experiment rather than making the experiment ﬁt a known or tabled design, applies here as well as in other intercropping experiments. , a given barley variety, for which the experiment design is a randomized complete blocks design (RCBD) with r blocks; the treatment design consists of the sole crop of the cultivar and mixtures of k of v additional lines, cultivars, or crop species with k 1, 2, .