Faculty Publications
Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736
Publications by NITK Faculty
Browse
2 results
Search Results
Item Characterization of spatial variability of vertisol micronutrients by geostatistical techniques in Deccan Plateau of India(Springer Science and Business Media Deutschland GmbH, 2020) Vinod, V.; Shetty, A.; Shrihari, S.In vertisols, accounting for the spatial variability of micronutrients is important for sustainable agriculture. In this study, the assessment of spatial variability maps is carried out by the geostatistical technique in SpaceStat 4.0®. A total of 68 random soil samples were collected from small-scale agricultural lands from Kalaburagi, Karnataka, India. The chemical analysis for iron (Fe), manganese (Mn), copper (Cu), and zinc (Zn) was carried out in microwave plasma-atomic emission spectroscopy. The coefficient of variation (CV) showed different micronutrients variability (CV > 35%). The significant correlation is among Cu with Fe and Mn (r = 0.753 and 0.258, respectively). The Box–Cox transformation converted the raw data to normal distribution efficiently. Spherical semivariogram model defined the spatial structure for all micronutrients. The nugget/sill ratio specifies that the Zn showed strong spatial dependence and rest micronutrients moderate. Ordinary kriging is applied for generating maps. The spatial variability maps exhibited different distribution pattern; maps generated are utilized as initial guidance for site-specific management practices and the amount of fertilizer application rate planned in the vertisols. The obtained range and spatial distribution maps act as the baseline in this region for administration planners. © 2019, Springer Nature Switzerland AG.Item Spatial variability of vertisols nutrients in the Deccan plateau region of north Karnataka, India(Springer Science and Business Media B.V., 2021) Vinod, V.; Shetty, A.; Shrihari, S.The status of soil fertility is a concern, especially in the Deccan plateau vertisols of India. Vertisols are productive if they are managed well. Understanding the spatial variability of soil macronutrients is necessary for agriculture to maintain sustainability. The objective of the present study was to explore the spatial variability of macronutrients [available nitrogen (N), available potassium (K), and available phosphorus (P)], soil pH, and electrical conductivity (EC), in scattered small-size fields of northern Karnataka, India. This region is known as the “pigeon pea vessel” of the state. The sixty-eight random topsoil samples were collected from marginal farms, which are less than two acres in size in the study region. The geostatistical analysis is carried out in SpaceStat 4.0® to find the spatial variability of macronutrients, soil pH, and EC. The coefficient of variation monitors the variation in the nutrients of the soil. The variogram analysis has shown K, soil pH, and EC are best fit to spherical model, N and P for an exponential model. According to the ratio of nugget/sill, it indicates they are moderate spatial dependent, excluding N. Using the best fit model, surface maps are generated using ordinary kriging method. The kriged maps exhibited a heterogeneous pattern of macronutrients because of separate farming methods. The spatial variability maps are used as initial regulation by policymakers for site nutrient management, including fertilization in vertisols. This is essential for sustainable and precise management of the fields, which are aimed at increasing the productivity of the crops; low productivity vertisols must be used in cultivation on a global scale due to current shortage of food supplies and agricultural resources land. © 2020, Springer Nature B.V.