Abstract
Knowledge of spatial variability of soil properties is important in precision agriculture as well as site specific nutrient management. This paper addressed the spatial distribution characteristics of organic matter (OM), pH, available nitrogen (AvN), available phosphorus (AvP), available potassium (AvK) and available sulphur (AvS) in Research farm of SKUAST-K, Shalimar, Srinagar. A total of seventy seven (77) soil samples were collected in a systematic grid design using geographical positioning system (GPS). Each grid was specified at a fixed distance of 50 × 50 m2. The results showed that soil organic matter and S was distributed normally while as the three soil macronutrients (AvN, AvP and AvK) and soil pH followed log normal distribution. Soil available phosphorus had a highest coefficient of variation (56.87%) and the soil pH (7.06%) the lowest. All the soil macronutrients were found in medium range except sulphur which was found deficient in whole of the research farm. The experimental semivariogram of the log-transformed data of soil available phosphorus, potassium, sulphur, soil pH and normally distributed soil organic matter was fitted to exponential model. Gaussian model was found to be the best fit for experimental semivariogram of soil available nitrogen. Experimental semivariogram results indicated a moderate degree of spatial dependence for soil organic matter, available potassium and sulphur, soil pH and weak degree of spatial dependence for soil available nitrogen and phosphorus. Using such analyses, it is possible to plan appropriate soil management practices, including fertilization for agricultural production and environmental protection.
Highlights
Soils are inherently heterogeneous in nature, diverse and dynamic system [1] and its properties change in time and space continuously [2]
The results showed that soil organic matter and S was distributed normally while as the three soil macronutrients (AvN, available phosphorus (AvP) and AvK) and soil pH followed log normal distribution
Experimental semivariogram results indicated a moderate degree of spatial dependence for soil organic matter, available potassium and sulphur, soil pH and weak degree of spatial dependence for soil available nitrogen and phosphorus
Summary
Soils are inherently heterogeneous in nature, diverse and dynamic system [1] and its properties change in time and space continuously [2]. Estimating spatial variability of soil properties is important for evaluating environment [4] and provides the factors and processes controlling potential in agriculture production [5]. It is an important determinant of efficiency of farm inputs and yield as well as crop management and design and effectiveness of field research trials. The availability of soil nutrients for plant growth and yield production is а function of different parameters, including soil pH, soil organic matter and texture, and soil biological activities [6] Determination of such parameters is important for evaluating nutrient behavior in the soil and for suggesting appropriate methods of enhancing nutrient availability to plant
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