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Singh, N. J.
- Mapping and Monitoring of Soil Organic Carbon Using Regression Analysis of Spectral Indices
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1 College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University, Imphal–Umroi Road, Umiam 793 103, IN
2 North Eastern Space Applications Centre, Department of Space, Government of India, Umiam 793 103, IN
1 College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University, Imphal–Umroi Road, Umiam 793 103, IN
2 North Eastern Space Applications Centre, Department of Space, Government of India, Umiam 793 103, IN
Source
Current Science, Vol 124, No 12 (2023), Pagination: 1431-1444Abstract
The soil carbon sinking ability is dominantly controlled by local topographical settings, soil–crop management and traditional farming practices on which the food demand of the major population is dependent. The degradation of natural resources causing poor soil health is likely to strain the hilly and mountain ecosystem. This study aims to map soil organic carbon (SOC) of rice–fallow system under varying slopes and its changes during the past 20 years under traditional management practice using geospatial tools and techniques. Regression models of SOC were derived from remote sensing (RS)-based indices using multiple linear regression-stepwise (MLR-stepwise), partial least square regression (PLSR) and principal component analysis-regression (PCA-R). The MLR-stepwise model was found to be superior in performance with high R2 (0.87) and least RMSE (0.026) compared to PLSR (R2 = 0.71 and RMSE = 0.05) and PCA-R (R2 = 0.27 and RMSE = 0.11) models for SOC prediction.Keywords
Regression Models, Remote Sensing, Rice–Fallow System, Soil Organic Carbon, Spectral Indices.Full Text
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Abstract Views :51 |
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Authors
Affiliations
1 School of Natural Resource Management, College of Post Graduate Studies in Agricultural Sciences (CPGS-AS), Central Agricultural University (CAU), Imphal, Umiam 793 103, IN
1 School of Natural Resource Management, College of Post Graduate Studies in Agricultural Sciences (CPGS-AS), Central Agricultural University (CAU), Imphal, Umiam 793 103, IN
Source
Current Science, Vol 125, No 7 (2023), Pagination: 765-770Abstract
Age-old traditional farming practices are generally followed by tribal inhabitants using locally available organic sources of plant nutrients. The aim of the present study was to determine the kinetics and rate of mineralization of different local organic sources of North East region of India. An incubation study of 100 days was carried out using locally available organic sources, i.e. farmyard manure (FYM; T1), poultry manure (T2), pig manure (T3) and vermicompost (T4) at the rate of 120 kg N/ha (considering recommended dose of fertilizer of rice as 120 kg N/ha). Bulk soil sample of Typic kandihumultis at 0–15 cm was collected from the College of Post Graduate Studies in Agricultural Sciences, Umiam, Meghalaya research farm and treated with organic sources and kept in an incubator at field capacity soil moisture and 25°C temperature. Observations were taken at 10 days interval up to 100 days of incubation (DOI). A control treatment (T0) of no organic source was used for comparison. The results showed that the average nitrogen mineralization rate (Nmin) of T3 was highest (64.88%), followed by T2 (57.77%), T4 (42.98%) and T1 (35.24%). The highest Nmin rate of T3 and T2 was noted at 60 DOI as 79.37% and 76.10% respectively. At 50–60 DOI, total nitrogen, available nitrogen and nitrogen fractions (ammonical nitrogen and nitrate nitrogen) released were the highest irrespective of the organic sources. R2 (coefficient of determinate) of first-order kinetics of all organic sources was found to be: 0.91 (T3) > 0.90 (T2) > 0.89 (T4) > 0.88 (T1), while R2 of second-order kinetics was: 0.66 (T3) > 0.65 (T2) > 0.64 (T1 and T4). It has been concluded that T3 is the best organic nutrient source among the treatments considered for this study.Keywords
Incubation Study, Kinetics, Nitrogen Mineralization, Organic Sources, Traditional Farming Practice.Full Text
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