期刊论文详细信息
Scientia Agricola
A simplified Excel® algorithm for estimating the least limiting water range of soils
Tairone Paiva Leão2  Alvaro Pires Da Silva1 
[1] ,University of Tennessee Dept. of Earth and Planetary Sciences Knoxville Tennessee ,USA
关键词: nonlinear regression;    spreadsheet software;    optimization;    soil physics;    soil quality;    regressão não-linear;    planilha eletrônica;    otimização;    física do solo;    qualidade do solo;   
DOI  :  10.1590/S0103-90162004000600013
来源: SciELO
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【 摘 要 】

The least limiting water range (LLWR) of soils has been employed as a methodological approach for evaluation of soil physical quality in different agricultural systems, including forestry, grasslands and major crops. However, the absence of a simplified methodology for the quantification of LLWR has hampered the popularization of its use among researchers and soil managers. Taking this into account this work has the objective of proposing and describing a simplified algorithm developed in Excel® software for quantification of the LLWR, including the calculation of the critical bulk density, at which the LLWR becomes zero. Despite the simplicity of the procedures and numerical techniques of optimization used, the nonlinear regression produced reliable results when compared to those found in the literature.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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