Developing a Soil Quality Indices for different crop rotations of Deltaic Inceptisol regions of India

被引:8
|
作者
Gunasekaran, Yazhini [1 ]
Kaliappan, Sathiya Bama [2 ]
Porpavai, S. [3 ]
机构
[1] Tamil Nadu Agr Univ, Dept Soil Sci & Agr Chem, Coimbatore 641003, Tamil Nadu, India
[2] Tamil Nadu Rice Res Inst, Soil Sci & Agr Chem, Maruthuvakudi, Tamil Nadu, India
[3] Agr Res Stn, Agron, Thanjavur, Tamil Nadu, India
关键词
Soil quality indicators; soil quality indices; crop rotations; principal component analysis; scoring;
D O I
10.1080/00103624.2021.1885683
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Soil quality index (SQI) is the tool for evaluating the sustainability of soil as affected by different factors such as land-use change and agricultural management practices. For a growing population, decreasing the land, maintaining soil quality is crucial to reach food security. Thus, the study aimed to select better crop rotation for the Inceptisol Deltaic region of Tamil Nadu using the SQI. Therefore, to develop SQI, samples were taken from the one-year-old already established field which comprising seven different crop rotations viz., Rice - Black gram, Rice- Sesame, Rice + Daincha - Maize + Green gram, Rice + Daincha - Bhendi, Rice + Daincha - Ragi, Rice + Daincha - Varagu, Rice + Daincha - Fodder Cowpea with first crop of green manure in all rotations. Nineteen physical, chemical, and biological properties of soil was analyzed. Minimum data set (MDS) were created based on principal component analysis (PCA) and Pearson's inter-correlation. The MDS consist of Soil organic carbon (SOC), Labile carbon (LC), Dehydrogenase activity (DHA), Oxidizable carbon fraction 2 (OX2), Oxidizable carbon fraction 3 (OX3), available potassium (K), and urease. Scoring was given to MDS and SQI was calculated. The percent contribution of MDS toward SQI was in the order of SOC = LC = FDA (24%) > Available K (11%) > OX2 (6%) > DHA = urease (4%) >OX3 (3%). The results revealed that crop rotations had a significant impact on soil quality by altering their properties. The maize-based legume intercropped crop rotations recorded a higher SQI value (1.18).
引用
收藏
页码:1363 / 1376
页数:14
相关论文
共 22 条
  • [1] MANAGEMENT OF SOIL EROSION IN CONDITIONS OF DIFFERENT CROP ROTATIONS AND SHELTERBELTS FUNCTIONS
    Koliada, Valerii
    Nazarok, Pavlo
    Kruglov, Oleksandr
    Achasova, Alla
    SCIENTIFIC PAPERS-SERIES MANAGEMENT ECONOMIC ENGINEERING IN AGRICULTURE AND RURAL DEVELOPMENT, 2022, 22 (01) : 313 - 319
  • [2] Chemical Properties of a Volcanic Soil Are Influenced by Eight Years of Crop Rotations with Different Levels of Residue Incorporation
    Hirzel, Juan
    Undurraga, Pablo
    Vera, Carola
    Matus, Ivan
    Schoebitz, Mauricio
    PLANTS-BASEL, 2025, 14 (05):
  • [3] Establishment of critical limits of indicators and indices of soil quality in rice-rice cropping systems under different soil orders
    Biswas, Sunanda
    Hazra, G. C.
    Purakayastha, T. J.
    Saha, N.
    Mitran, Tarik
    Roy, Satadeep Singha
    Basak, Nirmalendu
    Mandal, Biswapati
    GEODERMA, 2017, 292 : 34 - 48
  • [4] Developing soil quality indices for predicting site classes in Pinus patula stands of Sao Hill and Shume Forest Plantations, Tanzania
    Maguzu, J.
    Maliondo, S. M.
    Ulrik, I.
    Katani, J. Z.
    SUSTAINABLE ENVIRONMENT, 2025, 11 (01):
  • [5] Distribution of soil organic carbon in different size fractions, under pasture and crop rotations with conventional tillage and no-till systems
    Salvo, L.
    Hernandez, J.
    Ernst, O.
    SOIL & TILLAGE RESEARCH, 2010, 109 (02): : 116 - 122
  • [6] Review of soil environment quality in India near coal mining regions: current and future predictions
    Chandra, Guntakala Venkatanaga
    Golla, Sreekanth Yadav
    Ghosh, Pranab Kumar
    ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2024, 46 (06)
  • [7] Assessing the soil quality of Bansloi river basin, eastern India using soil-quality indices (SQIs) and Random Forest machine learning technique
    Paul, Gopal Chandra
    Saha, Sunil
    Ghosh, Krishna Gopal
    ECOLOGICAL INDICATORS, 2020, 118
  • [8] Developing a soil quality index to compare soil fitness for agricultural use under different managements in the Mediterranean environment
    Armenise, E.
    Redmile-Gordon, M. A.
    Stellacci, A. M.
    Ciccarese, A.
    Rubino, P.
    SOIL & TILLAGE RESEARCH, 2013, 130 : 91 - 98
  • [9] Identifying soil quality indicators for two contrasting agro-ecological sub-regions of India
    Chandran, Padikkal
    Vasu, Duraisamy
    Tiwary, Pramod
    Karthikeyan, Karunakaran
    Jangir, Abhishek
    Tiwari, Gopal
    Paul, Ranjan
    Das, Krishnendu
    ARCHIVES OF AGRONOMY AND SOIL SCIENCE, 2023, 69 (01) : 60 - 74
  • [10] Soil quality index (SQI) as a tool to evaluate crop productivity in semi-arid Deccan plateau, India
    Vasu, Duraisamy
    Singh, Surendra Kumar
    Ray, Sanjay Kumar
    Duraisami, V. Perumal
    Tiwary, Pramod
    Chandran, Padikkal
    Nimkar, Anant M.
    Anantwar, Shyam G.
    GEODERMA, 2016, 282 : 70 - 79