Assessment of Soil Properties and Nutrients Status in three Horticultural Land use System of Coastal Odisha, India

Srinivasan, R.; Singh, Shikha; Nayak, Dileswar; Dharumarajan, S.

doi:10.23910/ijbsm/2017.8.1.1697

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Loeppert and Suarez (1996) observed that the relation between pH and CaCO 3 of soils was a significant positive as well as between essential plant nutrients, N, P, K and OM had significant (P<0.01) positive correlations. Also, Srinivasan et al, (2017) mentioned that there are positive correlations between soil OM content and available P as well as K.…”

Section: Correlation Matrix Between Soil Propertiesmentioning

confidence: 99%

Delineation of Site-Specific Management Zones Using Multivariate Analysis and Geographic Information System Technique

Amer¹,

Moussa²,

Sheha³

et al. 2021

PLANT ARCHIVES

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The basic objectives of this study were: 1) The ability to characterize the spatial variability across a soil for selected soil properties using GIS technique and 2) identification of site-specific management zones using selected soil properties using PCA and cluster analysis. 120 geo-referenced representative soil samples obtained from Sahl AlHussainiyah, El-Sharkia Governorate, Egypt, (from 0 to 0.60 m depth). These samples were prepared and analysed for soil characteristics, such as soil pH, electrical conductivity (ECe), calcium carbonate (CaCO3 ), soil organic matter (OM), available N, P, K, soil cations exchange capacity (CEC), and bulk density (BD). Using semi-variogram analysis and ordinary kriging, spatial distribution pattern varies from moderate to strong spatial dependence for most soil characteristics. Using PCA and cluster analysis, site-specific management zones were identified in the study area. For further analysis, four PCs with eigenvalues > 1 were used, with PCs explaining 73.19 percent of the variance. Four MZs were defined based on cluster analysis using an agglomerative hierarchical clustering technique. The differences between these MZs were statistically significant (p < 0.05). 3.01 (466.56 ha), 36.47 (5658.9 ha), 31.02 (4813.54 ha), and 29.5 percent (4577.8 ha) of the total area is MZ1, MZ2, MZ3, and MZ4 (15516.8 ha).

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Section: Correlation Matrix Between Soil Propertiesmentioning

confidence: 99%

Delineation of Site-Specific Management Zones Using Multivariate Analysis and Geographic Information System Technique

Amer¹,

Moussa²,

Sheha³

et al. 2021

PLANT ARCHIVES

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“…The enrichment of OC content in surface soils are high could be plant dry matter and root biomass accumulation (Balasubramanian et al, 2020) [3] . Low OC content indicated poor nutrient management and high removal of crops (Srinivasan et al, 2017) [13] . Cation exchange capacity of typifying pedons ranged from 8.6 to 16.6 cmol (p + ) kg -1 with maximum from site-3 low production of coleus.…”

Section: Physico-chemical Characteristicsmentioning

confidence: 99%

Evaluation of soil characteristics and yield variation of coleus (Coleus forskohlii) in different agro climatic zones of Tamil Nadu

Balasubramanian¹,

Suresh²,

Srinivasan³

et al. 2020

Int. J. Chem. Stud.

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Coleus is a perennial herb with fleshy, fibrous roots and grows wild in the warm sub-tropical temperate areas in India. In Ayurvedic Medicine it has been used for over 3,000 years to treat heart and lung diseases. In India it has been cultivated for a long time as an important medicinal plant because of its unique diterpenoid content. In recent years the plant has gained pharmacological importance as the only known plant source of the adenylate cyclase activating compound. Detailed soil characterization was carried out in different yield rating (low, medium and high) zones in two Agro climatic zones of (North Eastern and Hill area zones) of Tamil Nadu to assessing the yield limiting soil factors. Typifying soil profiles and surface samples were collected from representing agro climatic zones and soils were analysed. Soils are shallow to deep, well to somewhat poorly drained, dark brown to dark reddish brown in moist colour. The soils were sandy clay loam to sandy clay and clay content ranged from 28 to 45%. The organic carbon in soils ranged from 0.10 to 1.16% and cation exchange capacity from 8.2 to 16.6 cmol (p + ) kg -1 soil, respectively. Soils were low in available nitrogen, low to medium in available phosphorus and low to medium in available potassium. In general, soils were deficient in DTPAextractable Zn and other micro nutrients like copper, iron and manganese are sufficient. Plant characteristics of different climatic zones were shows significant with soil depth and other characteristics.

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“…correlation coefficients determine the color intensity and the size of the circle (Figure11). Correlogram's correlation test showed that significant positive correlation (Grain Zn & Fe ~ clay (%), CEC, SOC, extractable soil Zn; p <0.005) and negative correlation (Grain Zn & Fe ~ sand (%), EC, pH; p <0.005) Srinivasan et al (2017). studied that Micronutrient like Mn, and Cu showed significant correlations with chemical properties (pH, EC, CEC, and OC).…”

mentioning

confidence: 91%

Release behaviour of iron and zinc in different textured soil and its distribution in rice plant (Oryza sativa L.) in North West of India

Jangir¹

2023

Acta fytotechn zootechn

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Assessment of Soil Properties and Nutrients Status in three Horticultural Land use System of Coastal Odisha, India

Cited by 5 publications

References 10 publications

Delineation of Site-Specific Management Zones Using Multivariate Analysis and Geographic Information System Technique

Delineation of Site-Specific Management Zones Using Multivariate Analysis and Geographic Information System Technique

Evaluation of soil characteristics and yield variation of coleus (Coleus forskohlii) in different agro climatic zones of Tamil Nadu

Release behaviour of iron and zinc in different textured soil and its distribution in rice plant (Oryza sativa L.) in North West of India

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