Mapping of nutrients status in tatrakallu village of anantapuramu district of andhra pradesh using geographic information system

The aim of this study is the evaluation of soil fertility in the Uppununthala mandal of the Nagarkurnool district, Telangana. In total, fifty surface soil samples (0-20 cm) were analysed for various soil fertility parameters, viz., pH, EC, organic carbon, available N, P, K, S by standard procedures. The results revealed that, the pH of the soils of the study area were neutral to slightly alkaline (7.14 - 8.30) in nature. The electrical conductivity (0.14 to 0.55 dS m-1) was within safe limits. Organic carbon ranged from low to medium (1.9 - 7.9 g kg-1) in the soils. The data on nutrient status showed that, the available nitrogen (125.44 - 291.64 kg ha-1) was low, while available phosphorus (9.7 - 26.2 kg ha-1) was low to medium and potassium (123.20 - 360.64 kg ha-1) were medium in range. The available sulphur content ranged in medium level (10.56 to 20.62 mg kg-1).

Section: Resultsmentioning

confidence: 99%

Physico-chemical Properties of Cotton Growing Soils in Uppununthala Mandal, Nagarkurnool District, Telangana, India

Mareddy

Kuchanwar²,

Mairan³

et al. 2022

“…In India, the soil resources accessible for agriculture are decreasing hence, optimized the exploitation of these resources is highly required for agricultural intensification. As a result, it is necessary to assess the fertility status of the soil on a regular basis in order to maintain the soil health [2]. Nutrient mining is an important threat in Indian agriculture since there is a large gap between nutrient addition and nutrient removal.…”

Section: Introductionmentioning

confidence: 99%

Mapping of Soil Fertility Status in a Coastal Village of Odisha Using Geospatial Technology

Majhi,

Mishra,

Sen

et al. 2023

The most fundamental decision-making tool for sustainable soil nutrient management is the assessment of soil fertility in a region. During 2021, a soil fertility status inventory was prepared through National Innovations on Climate Resilient Agriculture (NICRA) model village at Achyutadaspur in the Jagatsinghpur district of Odisha. A total of 125 surface soil samples were randomly collected from a depth of 0-15 cm with GPS locations and evaluated for soil pH, electrical conductivity, organic carbon, available N, P, K, S, Zn, and B using standard analytical procedures. GIS maps have been prepared using Arc GIS software based on the analysis report. The majority of the soil was found acidic around 62.4% area of the village, followed by neutral soil pH in 33.6% area. The organic carbon status of the soil was found low (79.2%) to medium (20.8%), available N was found low in 88% area and medium in 12% area, available P was found medium in 82.4% area and high in 17.6% area, available K was low in 27.2% area, medium in 64% area, and high in 8.8% area, and available S was low in 37.6% area and medium in 62.4% area, respectively. Among the available micronutrients, Zn was found low in 79.2% of the area and medium in 20.8% of the area. Similarly, hot water extractable boron was found low in 85.6% of the region and medium in 14.4% of the area. By adopting soil map based fertilizer recommendation with improved practices in the Achyutadaspur village, 17.92% yield was increased over farmers practices. The benefit cost ratio (B:C ratio) of rice was found to be 1.89 whereas 1.65 in farmers practices.

“…"In India, the limited soil resources available for agriculture were shrinking and the improper utilization of these resources with intensification of agriculture resulted in the fast depletion of nutrients. Therefore, it is important to regularly monitor the fertility status of soil from time to time with a view to sustain the soil health" [2].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution of Nutrients in Research Farm, Department of Soil Science, CCS HAU Hisar, Haryana

Dinesh

Kumar²,

Bhardwaj³

et al. 2022

Mapping the spatial variability of soil fertility by employing Geographic Information System (GIS) provides an elicit information for current and future use. To know the fertility status of the research farm, sixty four surface soil samples were collected to evaluate the spatial distribution of nutrients. The soils of the study area were sandy loam to sandy clay loam in texture and slightly alkaline to moderately alkaline (7.40-8.20) in reaction and non-saline (0.19-0.86 dS m-1) in nature. Organic carbon was recorded high to low and varied from 0.22-0.82 percent. The soils of the research farm were low in available nitrogen (112-161 kg ha-1), high to medium in available phosphorus (10-22 kg ha-1) and high to medium in available potassium (170-538 kg ha-1). The diethylenetriaminepentaacetic acid (DTPA) extractable micronutrients (Zinc, Copper and Manganese) status was found moderate to sufficient except Iron, which was found in moderate to deficient category (4.30-12.56 mg kg-1). Available nitrogen, phosphorus and potassium showed high variation as indicated by coefficient of variance values (142.58, 16.63 and 10380.04, respectively). Organic carbon (0.02), zinc (0.07), iron (6.28), copper (0.19) and manganese (2.25) showed small variation as indicated by low variance. Organic carbon was significantly correlated with nitrogen and potassium suggesting synergistic effect. All the soils were low in available nitrogen that’s why application of nitrogenous fertilizers is necessary to ameliorate nutrient deficiency and enhance crop production. The spatial variability maps of nutrients provide an insight of fertility status of the area and this will help in easy monitoring of precision fertilizer management.