Prediction of Soil Quality Index (SQI) and Its Minimum Dataset Indicators for Rice-Based Cropping Systems in the North Bank Plain Zone of Assam

IF 1.4 4区农林科学 Q4 SOIL SCIENCE Eurasian Soil Science Pub Date : 2024-07-30 DOI:10.1134/s1064229324600854

S. Bhuyan, D. K. Patgiri, B. K. Medhi, B. Deka, G. G. Kandali, S. J. Medhi, S. Kalidas-Singh, A. Debnath, R. R. Zhiipao, T. Tsomu, S. R. Devegowda, M. Sandillya

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Abstract

Prediction of soil quality index is one of the suitable options to determine the productivity of a cropping system. Rice based cropping systems are the most important cropping systems followed in the North Bank Plain region. The productivity of such system has declined continuously due to deterioration of soil quality. The current study was carried out in Cambisols soil to establish soil quality index based on soil physical and chemical properties and identify quality indicators from the rice cropping system. A total of 180 geo-referenced surface soil samples were collected from five rice based cropping systems. The principal components analysis and machine learning model were used to screen the minimum data set indicators for computing the soil quality index. The minimum data set indicators were found as cation exchange capacity, micro aggregate, organic carbon, total porosity and available phosphorus. The SQI for the district ranged from 0.48 to 0.87, with an average of 0.62. The SQI was more significantly positively correlated with the rice equivalent yield of rice potato-based cropping systems, followed by rice rabi vegetables. The spatial variability of the SQI was presented on the geographical information system (GIS) platform through inverse distance weighting (IDW) method of interpolation.

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预测阿萨姆邦北岸平原区水稻种植系统的土壤质量指数 (SQI) 及其最小数据集指标

摘要土壤质量指数预测是确定种植系统生产力的合适选择之一。水稻种植系统是北岸平原地区最重要的种植系统。由于土壤质量恶化，这种耕作制度的生产力不断下降。本研究在寒武纪土壤中进行，根据土壤物理和化学特性建立土壤质量指数，并确定水稻种植系统的质量指标。研究人员从五个水稻种植系统中收集了 180 个地理参照表层土壤样本。利用主成分分析和机器学习模型筛选出计算土壤质量指数的最小数据集指标。最小数据集指标包括阳离子交换容量、微集料、有机碳、总孔隙度和可利用磷。该地区的 SQI 介于 0.48 至 0.87 之间，平均为 0.62。SQI 与以水稻马铃薯为基础的种植系统的水稻当量产量呈较明显的正相关，其次是水稻蕾菜。通过反距离加权（IDW）插值法，SQI 的空间变异性在地理信息系统（GIS）平台上得以呈现。

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来源期刊

Eurasian Soil Science 农林科学-土壤科学

CiteScore

2.70

自引率

35.70%

发文量

137

审稿时长

12-24 weeks

期刊介绍： Eurasian Soil Science publishes original research papers on global and regional studies discussing both theoretical and experimental problems of genesis, geography, physics, chemistry, biology, fertility, management, conservation, and remediation of soils. Special sections are devoted to current news in the life of the International and Russian soil science societies and to the history of soil sciences. Since 2000, the journal Agricultural Chemistry, the English version of the journal of the Russian Academy of Sciences Agrokhimiya, has been merged into the journal Eurasian Soil Science and is no longer published as a separate title.