By N.C. Brady (Ed.)
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Extra resources for Advances in Agronomy, Vol. 28
Prior to 1955 when Hughes and Lindley first used a statistical procedure to reclassify members of six soil series, soil classification was based primarily on subjective judgment. That is not to say that the judgment applied has not been good; some of the best minds in soil science have been focused on soil classification. Nevertheless, both the selection of criterion variables for classification, their effective weighting by application at different categorical levels in a hierarchical classification, and of boundary values for separations have all been made primarily on the basis of fallible human judgment.
At the present stage of evaluation it appears that leaf elongation is a simply measured and promising estimator of SN, and its use should be encouraged. Accordingly, it would be profitable to investigate its performance early in any program where it might be applicable. Even in the case of annual ryegrass it has been shown that the relation of SNL and SNC does not hold indefinitely. From Fig. 8 it can be seen that a steady relationship holds at least for the first 8 weeks. But Greenwood et al. (1965) have shown that values of SNR begin to rise in relation to SNL shortly after 8 weeks.
And Ludwig, J. Aust. J. Agric. Res. 15,231-233. Wolf, D. , Peace, R. , and Lee, D. R. Crop Sci. 9,24-27. This Page Intentionally Left Blank STATISTICAL METHODS IN SOIL CLASSIFICATION RESEARCH . Rodney J Arkley Department of Soils and Plant Nutrition. College of Natural Resources. University of California. Berkeley. California ............. .............................................. I . Introduction: Objectives and Problems of Soil Classification 11. Numerical Taxonomy or Cluster Analysis of Soils A.
Advances in Agronomy, Vol. 28 by N.C. Brady (Ed.)