scholarly journals Assessment of Spatial Variability of Soil Chemical Properties under Small-holder Farmers’ Field: a Case Study from Kavrepalanchowk District of Nepal

2018 ◽  
Vol 6 (3) ◽  
pp. 337-343
Author(s):  
Deepak Ghimire ◽  
Bandhu Raj Baral ◽  
Dinesh Panday
Keyword(s):  
Spatial Variability ◽  
Soil Nutrients ◽  
Soil Ph ◽  
Management Practices ◽  
Nutrient Management ◽  
Agricultural Land ◽  
Chemical Properties ◽  
Soil Samples ◽  
Soil Chemical Properties

A proper understanding of variability of soil chemical properties over an area is important for identifying the soil nutrients related production constraints. The suggestions for remedial measures and execution of appropriate nutrient management strategies are also based on the good knowledge of variation in soil nutrients. A case study was undertaken with an objective of assessing spatial variability of selected soil chemical properties of agricultural land. Soil samples from the surface (0 to 15 cm) were collected from farmers’ field in the central part of Kavrepalanchowk district of Nepal in February 2018. Soil samples were analyzed for soil pH, total organic carbon (TOC), total nitrogen (N), phosphorous (P), and potassium (K). Descriptive statistics revealed that the soil in the study area was slightly acidic and contained the low status of TOC, P, and K, while the N content was medium. Coefficient of variation (CV) indicated that soil pH was the least variable (CV= 9.37% with values ranging from 5.3 to 7.7) among the investigated soil samples while N was the most variable (CV= 98.81% with content values ranging from 0.03% to 0.67%). Other selected properties (TOC, P, and K) were found to be highly variable (CV= 49.94%, 94.89%, and 57.53% respectively). These variations in soil chemical properties were mostly related to the different cropping systems and soil management practices, including nutrient management carried out in the study area. Owing to the higher variability of nutrients, the results suggested to take into account various soil and nutrient management practices for sustained soil fertility and enhanced productivity.

scholarly journals Spatial variability of soil nutrients and GIS-based nutrient management in upland of Tamil Nadu: A case study from Valapadi Block, Salem district

2020 ◽  
Vol 8 (2) ◽  
pp. 2801-2809
Author(s):  
Balasubramanian V ◽  
KP Ragunath ◽  
R Srinivasan ◽  
E Manikandan ◽  
S Parvathy ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Soil Nutrients ◽  
Tamil Nadu ◽  
Nutrient Management ◽  
Salem District

Management Practices Influenced Corn Grain Yield and Soil Chemical Properties

2020 ◽  
Author(s):  
Maysoon Mikha ◽  
Alan Schlegel
Keyword(s):  
Soil Nutrients ◽  
Management Practices ◽  
Chemical Properties ◽  
Soil Chemical Properties ◽  
Corn Yield ◽  
P Availability ◽  
Soil P ◽  
Residue Removal ◽  
Synthetic Fertilizer ◽  
Nitrogen Treatments

<p>Land sustainability could be influenced by management decisions, soil nutrients content, and soil erosion potential. This study evaluates the management that consist on two sources of nitrogen (cattle beef manure, M; and synthetic fertilizer, F) and two levels of residue removal (0% and 80%) on corn yield and soil chemical properties in a no-tillage irrigated field. The study was initiated in 2011 in Tribune, Kansas where the nitrogen treatments and residue removal were organized in randomized strip design with four replications. After Seven years of annual M addition, corn yield and soil chemical properties significantly increased compared with synthetic fertilizer. Annual residue removal at 80% level greatly reduced soil chemical properties measured especially STN, SOC, and soil P availability for subsequent crops. Residue removal at 80% show a potential to decrease soil EC compared with 0% removal, but the EC reduction was not significant. The data generated from this study shows that soil nutrients content was reduced with removing the residue even in irrigated and well fertilized field unless organic amendment was accompanied the residue removal practice.</p>

scholarly journals Geostatistical Analysis on Spatial Variability of Soil Nutrients in Vertisols of Deccan Plateau Region of North Karnataka, India

2020 ◽  
Vol 5 (2) ◽  
pp. 283-295
Author(s):  
Vinod Tamburi ◽  
Amba Shetty ◽  
S. Shrihari
Keyword(s):  
Land Use ◽  
Spatial Variability ◽  
Soil Nutrients ◽  
Soil Ph ◽  
Agricultural Land ◽  
Microwave Plasma ◽  
Spherical Model ◽  
Atomic Emission ◽  
Deccan Plateau ◽  
Land Use And Management

Different methods of land use and management have a significant effect on soil properties distribution. Understanding of variations in soil nutrients in agricultural land use is important. An increase in extraction of nutrients, soil degradation, and management of nutrients is leading to a decline in quality of vertisols across the Deccan plateau of India. Though there are studies on spatial variability of vertisols macronutrients, studies on available calcium (Ca) and available magnesium (Mg) are rare. This study is conducted in Gulbarga taluk, north Karnataka, India, to evaluate the variability of soil pH, Ca, Mg, and Zinc (Zn). A total of 78 samples of soils are collected at 0 to 15 cm depth based on the accessibility and distribution of field patterns. Four subsamples represent a single composite sample. Agilent 4200 MP-AES (Microwave Plasma-Atomic. Emission Spectrometer) was used for determining the concentration of soil nutrients. The soil nutrients represent wide variation in coefficient of variation (CV) with a value of 6 % (for pH) to 70.9 % (for Zn). The soil pH showed a significantly positive correlation to Ca and a negative correlation to Mg. Geostatistical investigation indicates spherical model is the best fit for all nutrients. Except for Ca, all nutrients showed moderate spatial dependence. Ordinary kriging is used to generate spatial variability maps. The maps of spatial variability are highly variable in nutrients content and indicate that site-specific management needs to be taken by local authorities and improve the livelihood of marginal farmers and also for sustainable agriculture.

scholarly journals Soil chemical properties influence abundance of nematode trophic groups and Ralstonia solanacearum in high tunnel tomato production

2019 ◽  
Vol 2 ◽  
pp. 3 ◽  
Author(s):  
Daisy Chepkoech Ngeno ◽  
Lucy Kananu Murungi ◽  
Davis Ireri Fundi ◽  
Vitalis Wekesa ◽  
Solveig Haukeland ◽  
...  
Keyword(s):  
Soil Ph ◽  
Negative Correlation ◽  
Ralstonia Solanacearum ◽  
Chemical Properties ◽  
Soil Samples ◽  
Soil Chemical Properties ◽  
Parasitic Nematodes ◽  
Strong Positive Correlation ◽  
Tomato Production ◽  
High Tunnels

Background: Plant parasitic nematodes (PPNs) and bacterial wilt (Ralstonia solanacearum) are serious soil-borne pests in tomato (Solanum lycopersicon L) production in high tunnels. This study was undertaken to determine effects of soil chemical properties on their abundance. Method: Soil samples were collected from 32 high tunnels in the sub-counties: Gatundu North, Gatundu South, Juja, Thika, Ruiru and Kiambu, Kenya, from January to November 2016. Nematodes genera, R. solanacearum and soil chemical properties were evaluated from composite soil samples collected from the high tunnels. Results: The soil pH and N, P, K, Ca, Mg, Na and Cu varied across sub-counties. Twenty-four nematode genera including 14 PPNs, 5 bacterivores, 3 fungivores and 2 predators were recovered from soil samples. The genera Meloidogyne, Alaimus, Aporcelaimus and Mononchus were the most abundant PPNs, bacterivores, fungivores and predators, respectively, and differed across sub-counties. The abundance of Meloidogyne spp. and R. solanacearum was higher in Gatundu North than in the other sub-counties. There was a strong, positive correlation between Meloidogyne spp. (second stage juveniles counts) population and R. solanacearum (cfu∙mL-1) with soil N and P, and a weak negative correlation with soil pH, EC, Zn and Cu. Fungal feeders exhibited a strong negative correlation with soil pH and Ca; predators, bacterial feeders, and PPNs had similar correlations with N, P and Ca, respectively. Conclusion: Soil chemical properties affect abundance of beneficial and phytoparasitic nematodes and R. solanacearum, which varies with location.

scholarly journals Consistency of spatial dependence of soil chemical properties in two fields: a geostatistical study

2011 ◽  
Vol 50 (No. 11) ◽  
pp. 507-512 ◽  
Author(s):  
L. Brodský ◽  
V. Vaněk ◽  
L. Borůvka ◽  
J. Száková
Keyword(s):  
Spatial Variation ◽  
Soil Nutrients ◽  
Soil Ph ◽  
Spatial Dependence ◽  
General Feature ◽  
Chemical Properties ◽  
The Other ◽  
Soil Chemical Properties ◽  
Data Sets ◽  
Great Precision

This study examined consistency of spatial variation of plant-available soil nutrients P, K, Mg and soil pH in two fields of an area of 54 and67.5 ha(haplic Luvisol and luvic Chernozem) in the region of Český Brod (Central Bohemia). Computed variograms showed a spatial dependence extending to150 mon an average with small fluctuations for most analysed data sets. These results of two different fields indicate that soil spatial variation is rather a general feature than specific to every field. However, soil available Mg in one field showed a shorter-range (89 m) and soil pH in the other showed considerably longer-range (375 m). Consistency of spatial variation features makes it possible to construct regional average and proportional variograms with great precision. This can bring further practical opportunities.

scholarly journals USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL CHEMICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL

2015 ◽  
Vol 39 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Ivanildo Amorim de Oliveira ◽  
Milton César Costa Campos ◽  
José Marques Junior ◽  
Renato Eleotério de Aquino ◽  
Daniel de Bortoli Teixeira ◽  
...  
Keyword(s):  
Chemical Properties ◽  
Spherical Model ◽  
Exponential Model ◽  
Soil Samples ◽  
Soil Chemical Properties ◽  
Sampling Density ◽  
Sugarcane Crop ◽  
Lack Of Information ◽  
Set Up ◽  
Almost All

The lack of information concerning the variability of soil properties has been a major concern of researchers in the Amazon region. Thus, the aim of this study was to evaluate the spatial variability of soil chemical properties and determine minimal sampling density to characterize the variability of these properties in five environments located in the south of the State of Amazonas, Brazil. The five environments were archaeological dark earth (ADE), forest, pasture land, agroforestry operation, and sugarcane crop. Regular 70 × 70 m mesh grids were set up in these areas, with 64 sample points spaced at 10 m distance. Soil samples were collected at the 0.0-0.1 m depth. The chemical properties of pH in water, OM, P, K, Ca, Mg, H+Al, SB, CEC, and V were determined at these points. Data were analyzed by descriptive and geostatistical analyses. A large part of the data analyzed showed spatial dependence. Chemical properties were best fitted to the spherical model in almost all the environments evaluated, except for the sugarcane field with a better fit to the exponential model. ADE and sugarcane areas had greater heterogeneity of soil chemical properties, showing a greater range and higher sampling density; however, forest and agroforestry areas had less variability of chemical properties.

scholarly journals Liming Effects of Sawdust Ash and Lime on Sunflower (Helianthus annuus L.) Yield in Acidic Soil of Southeastern Nigeria

2019 ◽  
pp. 1-11
Author(s):  
C. V. Ogbenna ◽  
V. E. Osodeke
Keyword(s):  
Soil Ph ◽  
Chemical Properties ◽  
Exchange Capacity ◽  
Acidic Soil ◽  
Soil Chemical Properties ◽  
Growth And Yield ◽  
Available Phosphorus ◽  
Yield Data ◽  
Southeastern Nigeria ◽  
Head Weight

Aim: A pot experiment was carried out to determine the effect of sawdust ash and lime (Ca(OH)2) on soil characteristics and yield of sunflower in acidic soil of southeastern Nigeria. Study Design: The experiment was laid out in split-plot design, using sawdust ash (0, 1, 2, 3, 4 t ha-1) as the sub plot and lime (0, 0.5, 1.0, 1.5 t ha-1) as the main plot. Place and Duration of Study: Study was conducted outdoors at Michael Okpara University of Agriculture Umudike, Nigeria, during the 2010 planting season. Materials and Methods: Treatment combinations were applied to the 60 buckets containing soil, mixed thoroughly and watered adequately. After 1 week of treatment application, two sunflower seeds were planted and later thinned to one seedling per bucket. Plant growth and yield data were collected. Pre planting and post-harvest soil samples were collected and analyzed for soil properties. Results: Results showed that with the exception of organic carbon there was significant effect of treatments on all soil chemical properties. Lime and sawdust ash (SDA) as single and combined treatments significantly increased total nitrogen (P=0.05), available phosphorus (P<0.010), and base saturation (P<0.012). The interaction between SDA and lime significantly (P=0.05) increased total exchangeable bases and effective cation exchange capacity, while soil pH was significantly increased (P=0.05) by single applications. The increases in soil chemical properties led to significant positive response of the sunflower. With the exception of number of leaves, other plant parameters (Plant height, stem diameter, head weight, 50 seed weight, head diameter) had significant increases for sawdust ash alone at P=0.05. Correlation studies showed positive significant relationship between soil pH and sunflower yield. Conclusion: The study showed that sunflower performed best at the combination of 3 tha-1 SDA and 1.5 t ha-1 lime producing a mean head weight of 45.4 g.

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