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Soil Quality Index (SQI) as Influenced by Paddy Land Use among Different Districts of Hilly Zone of Karnataka

机译:土地利用在卡纳塔克丘陵区不同地区的水稻土地利用影响土壤质量指数(SQI)

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摘要

The hilly zone of Karnataka is characterized by heavy rainfall, loss of nutrients through leaching, top soil erosion, high soil acidity, which leads to acute soil degradation. With the intensification of agricultural practices to get enhanced returns,there is a new emphasis on using the concept of soil quality. Quantitative assessment of soil quality is done to determine the sustainability of land uses in terms of environmental quality and plant productivity. Thus, a study was conducted to address the selection of most appropriate soil quality indicator and to quantify thesoil quality index (SQI) under paddy land use system among Shivamogga, Chikkamagaluru and Kodagu districts which majorly represents the hilly zone of Karnataka. About 160 surface samples at 0-15 cm depth were collected from different locations among 3 districts and analyzed for 24 physical, chemical and biological soil attributes. Principal component analysis (PCA) approach was employed to get the minimum data set on the measured attributes. The data obtained which was subjected to PCA provided 8 principal components (PC) with eigen values >1 and explaining at least 5% of variance in the data set. The 8 PCs together explained 84.36% of total variance. Based on the rotated factor loadings of soil attributes, the selected minimum data set were sand fromPC-1, exchangeable Mg (Mg) from PC-2, soil organic carbon (SOC) from PC-3, available nitrogen (N) from PC-4, clay from PC-5, zinc (Zn) from PC-6, earthworm population density (EWPD) from PC-7 and boron (B) from PC-8. Indicators were transformed into scores (linear scoring method) to calculate the SQI. It ranged from the least of 0.39 in Shivamogga, 0.40 in Chikkamagaluru and the highest of 0.47 in Kodagu districts within paddy land use system of hilly zone of Karnataka. The overall contribution (in percent) in the determination of SQI was in the order of sand (41.22), Mg (15.62), SOC (13.31), N (7.33), clay (7.09), zinc (6.16), EWPD (5.43) and B (3.82).
机译:Karnataka的丘陵区的特点是降雨量,通过浸出,滋养失去,土壤侵蚀,高土壤酸度,导致急性土壤降解。随着农业实践的加剧来获得增强回报,有一种新的重点是利用土壤质量的概念。对土壤质量进行定量评估,以确定在环境质量和植物生产率方面的土地使用的可持续性。因此,进行了一项研究以解决大多数合适的土壤质量指标,并在湿法戈加,Chikkamagaluru和Kodagu地区的稻田利用系统下量化稻田质量指数(SQI),该地区主要代表Karnataka丘陵区。从3个地区的不同位置收集约160个表面上的表面样品,并分析24个物理,化学和生物土壤属性。主成分分析(PCA)方法被采用来获取在测量属性上设置的最小数据。获得的数据经受PCA提供了具有尖端值> 1的8个主成分(PC),并在数据集中解释至少5%的方差。 8个PC一起解释了总方差的84.36%。基于土地属性的旋转因子载荷,所选的最小数据集是来自PC-2的PC-2的砂砂,从PC-3的土壤有机碳(SoC),来自PC的可用氮气(N) - 4,来自PC-5,锌(Zn)的粘土,来自PC-6的蚯蚓群密度(EWPD),来自PC-7和PC-8的硼(B)。将指标转化为分数(线性评分方法)以计算SQI。它从Shivamogga的最少的0.39中,0.40英寸的Chikkamagaluru,柯达地区的丘陵区丘陵区丘陵区丘陵区的0.47分。 SQI测定的总体贡献(以百分比)为砂(41.22),Mg(15.62),SoC(13.31),N(7.33),粘土(7.09),锌(6.16),EWPD(5.43 )和B(3.82)。

著录项

  • 来源
    《Environment and Ecology》 |2019年第2期|共7页
  • 作者单位

    Dept. of P.G. Studies &

    Research in Environmental Science Kuvempu University JnanaSahyadri Shankaraghatta 577451 Shivamogga District Karnataka State India;

    Dept of P. G. Studies &

    Research in Environmental Science Kuvempu University JnanaSahyadri Shankaraghatta 577451 Shivamogga District Karnataka State India;

    Dept. of PG Studies &

    Research in Chemistry Director P. G. Center Kadur Kuvempu University Chikmagaluru District 577548 Karnataka State India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 普通生物学;
  • 关键词

    Soil quality; Hilly zone; Paddy land use; Principal component; Minimum data set.;

    机译:土壤质量;丘陵区;稻田使用;主成分;最小数据集。;

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