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ABSTRACT
In an investigation of the extent to which predictive soil property relationships can be relied upon in characterizing soils of the tropics classified at the reconnaissance level, 9 to 15 soil properties, of 370 horizons, from 84 Puerto Rican profiles, were studied by correlation and multiple linear regression. The soils represented six orders of the new US Soil Taxonomy (7th Approximation): Vertisols, Mollisols, Alfisols, Inceptisols, Ultisols, and Oxisols. Multiple regression equations were formed from the data of each order, with 15-bar moisture content, CEC, organic carbon, extractable iron, and base saturation as dependent variables. The results indicate that, although it is possible to eliminate certain properties from tropical soil data acquisition and still adequately characterize the soil, the specific properties that can be successfully eliminated depend on the soil order.
1 Agronomy paper no. 893. Contribution from the New York State College of Agr., Dep. of Agron., Cornell Univ., Ithaca, New York 14850. This study was supported in part by a Ford Foundation Grant and by the US Agency for International Development as a part of the research under contract Csd-2490.
2 Graduate Research Assistant and Professor of Soils, respectively.
Received for publication March 15, 1972. Accepted for publication April 18, 1972.
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