Prediction of Soil Quality Index (SQI) and Its Minimum Dataset Indicators for Rice-Based Cropping Systems in the North Bank Plain Zone of Assam
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Published:2024-07-30
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Volume:
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ISSN:1064-2293
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Container-title:Eurasian Soil Science
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language:en
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Short-container-title:Eurasian Soil Sc.
Author:
Bhuyan S.ORCID, Patgiri D. K., Medhi B. K., Deka B., Kandali G. G., Medhi S. J., Kalidas-Singh S., Debnath A., Zhiipao R. R., Tsomu T., Devegowda S. R., Sandillya M.
Publisher
Pleiades Publishing Ltd
Reference33 articles.
1. S. S. Andrews, D. L. Karlen, and C. A. Cambardella, “The soil management assessment framework: a quantitative soil quality evaluation method,” Soil Sci. Soc. Am. J. 68, 1945–1962 (2004). 2. C. A. Black, Methods of Soil Analysis, Part I: Physical and Mineralogical Properties (American Society of Agronomy, Madison, 1965). 3. G. B. Bodman, “Nomograms for rapid calculation of soil density, water content, and total porosity relationships,” Agron. J. 34 (10), 883–893 (1942). 4. R. H. Bray and L. T. Kurtz, “Determination of total organic and available phosphate in soils,” Soil Sci. 59, 39–46 (1945). 5. M. R. Cherubin, D. L. Karlen, C. E. P. Cerri, A. L. C. Franco, C. A. Tormena, C. A. Davies, and C. C. Cerri, “Soil quality indexing strategies for evaluating sugarcane expansion in Brazil,” PLoS One 11 (3), e0150860 (2016).
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