Spatial variability of Soil Nutrients Using Geospatial Techniques: A case study in soils of Sanwer Tehsil of Indore district of Madhya Pradesh

Abstract

ABSTRACT:A study was conducted to explore the spatial variability of major soil nutrients in a soybean grown region of Malwa plateau. From the study area, one hundred sixty two surface soil samples were collected by a random sampling strategy using GPS. Then soil physico-chemical properties i.e., pH, EC, organic carbon, soil available nutrients (N, P, K, S and Zn) were measured in laboratory. After data normalization, classical and geo-statistical analyses were used to describe soil properties and spatial correlation of soil characteristics. Spatial variability of soil physico-chemical properties was quantified through semi-variogram analysis and the respective surface maps were prepared through ordinary Kriging. Exponential model fits well with experimental semi-variogram of pH, EC, OC, available N, P, K, S and Zn. pH, EC, OC, N, P, and K has displayed moderate spatial dependence whereas S and Zn showed weak spatial dependence. Cross validation of kriged map shows that spatial prediction of soil nutrients using semi-variogram parameters is better than assuming mean of observed value for any un-sampled location. Therefore it is a suitable alternative method for accurate estimation of chemical properties of soil in un-sampled positions as compared to direct measurement which has time and costs concerned.

Profile distribution of available nutrients in a Vertisol and Inceptisol as influenced by irrigated and rainfed cotton crops

“…In case of deeper layers, content decreased which might be due to the presence of more calcium carbonate at deeper layers which decreased the availability of micronutrients as a result of formation of insoluble hydroxides at higher pH. Results on micronutrients under the present study were in the same line as mentioned by Tagore et al (2014) in black cotton soils and Chouhan et al (2012) in medium black soils. Kumar (2017) studied soil available micro nutrients status of Inceptisols and Vertisols under irrigated and rainfed cotton system in Bharuch district, Gujarat.…”

Assessment of Spatial Variability of Soil Fertility Parameters Using Geospatial Techniques in Temperate Himalayas

“…A high CV is the first indicator of data heterogeneity [30]. Generally, pH and OC are considered to be Similar results were also figured out by Aishah et al [34] who found CV value of 4% for pH and Tagore et al [35] reported least variability (CV = 6.37%) for pH among all the analyzed soil parameters.…”

“…Exponential models were fitted to the experimental semivariograms for the OC, pH, AvP, AvK and S while as only N was best suited to the Gaussian model. Tagore et al [35] reported that Exponential model fits well with experimental semi-variogram of pH, EC, OC, available N, P, K, S and Zn. However, Reza et al [39] while working on alluvial soils of India describes Spherical model to be the best fit for N, P and Zn contents.…”

Assessment of Soil Fertility Status of Kanwara Minor Lift Canal Command Area in Banda District of Bundelkhand using Nutrient Index Values

“…Most of the soil samples (99.53%) having the low in available nitrogen considering the critical limit of ≤280 kg ha -1 for low, 281-560 kg ha -1 for medium and >560 kg ha -1 for high. Tagore et al [15] revealed the similar findings in soils of the Chambal region of Madhya Pradesh.…”

“…The majority of the samples were in high (55.45%) followed by medium (44.55%) category on the critical limit of ≤120 kg ha -1 for low, 121-280 kg ha -1 for medium and >280 kg ha -1 for high. Tagore et al [15] also reported higher nutrient index value for soil available potassium in soils of Sanwer tehsil of Indore district of Madhya Pradesh.…”