Determining soil quality indicators for alluvial plains in the semi‐arid tropics

Author:

Lalitha M.1ORCID,Kalaiselvi B.1,Dharumarajan S.1ORCID,Anil Kumar K. S.1,Ramesh Kumar S. C.1,Srinivasan R.1,Ramamurthy V.1,Hegde Rajendra1

Affiliation:

1. ICAR‐National Bureau of Soil Survey and Land Use Planning, Regional Centre Bangalore India

Abstract

AbstractEvaluating soil quality in the alluvial plains of the semi‐arid tropics is vital to understand the impact of existing land management practices, thus facilitating the adoption of more sustainable agricultural methods. We analysed soil profiles using 146 horizon‐specific samples from 24 pedons, representing seven soil series from the sub‐tropical to semi‐arid River Cauvery Delta basin, Tamil Nadu, India. Using principal component analysis (PCA), we identified minimum datasets (MDS) from 30 different soil properties. The plough layer's MDS were clay content, exchangeable sodium percentage (ESP), very coarse sand content, soil pH and soil organic carbon (SOC). For the subsurface layer, sand content, ESP, SOC, diethylene‐triamine‐pentaacetic acid extractable zinc (DTPA‐Zn), and very coarse sand content were identified as the MDS. Soil quality index (SQI) values were 0.47–0.72 for the plough layer and 0.46–0.56 for the subsurface soil, suggesting limited soil function support in subsurface soils. Surface soil‐site suitability criteria displayed a moderate correlation with SQI values derived via PCA, with additive (R2 = .545) and weighted additive indices (R2 = .659). Both simple additive index and weighted derived SQIs demonstrated a moderate association with rice yield (R2 = .50 and .55, respectively). This research indicates the potential to identify soil quality indicators in alluvial plains of semi‐arid tropics.

Publisher

Wiley

Subject

Pollution,Soil Science,Agronomy and Crop Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3