The Potential of Spectroscopic Methods for the Rapid Analysis of Soil Samples

1988 ◽  
Vol 68 (1) ◽  
pp. 165-169 ◽  
Author(s):  
Y. K. SOON

A colorimetric method, based on methylene blue adsorption, for rapid analysis of soil CEC is described. The effect of soil pH and organic matter was examined by multiple regression. For 44 test samples CEC was predicted well from transmittance measured at 550 nm (r2 = 0.735**); the r2 increased to 0.815** by excluding two moderately calcareous soil samples, and to 0.872** by including organic matter as a second independent variable. Key words: Methylene blue adsorption, CEC, colorimetric method


2013 ◽  
Vol 864-867 ◽  
pp. 930-934 ◽  
Author(s):  
Li Hua Mao ◽  
Xue Mei Han

Oil soil samples were extracted using cyclohexane, petroleum ether and chloroformion by the ultrasonic method. The feasibility of the ultraviolet spectrophotometric method for rapid analysis of the oil content in the oil-contaminated soil was explored. The result indicates that compared with other test methodsultraviolet spectrophotometry can be a simple, quick and steady detection method of oil content in the oil-contaminated soil. The method of oil material extracted by cyclohexane is high efficiency and stable. When the temperature was between room temperature and 40°C, ultrasonic extraction time is 15 min, and the extraction efficiency turned out to be stable (greater than 94%) when solvent dosage exceeded 40mL. Two stages extraction could achieve the best effect with the extraction dosage of 20 mL for each stage.


2005 ◽  
Vol 43 (2) ◽  
pp. 81-86 ◽  
Author(s):  
S. M. Kashyap ◽  
G. H. Pandya ◽  
V. K. Kondawar ◽  
S. S. Gabhane

2020 ◽  
Vol 41 (4) ◽  
pp. 147-152
Author(s):  
Zhouyi Xu ◽  
Le Hang ◽  
Wei Hang ◽  
Benli Huang

2020 ◽  
Vol 11 (4) ◽  
Author(s):  
A. G. Babich ◽  
◽  
R. D. Suhareva ◽  
О. А. Babich ◽  
I. V. Prichodko ◽  
...  

Detection of globoderosis foci, especially in the early stages of land settlement, is difficult, as typical signs of damage (growth retardation, chlorosis, leaf wilting, etc.) appear visually only after many years of cultivation of nightshade crops in monoculture or with minimal breaks. Under such conditions, the highest probability of their detection is provided by the selection of soil samples by the envelope method. At the same time, in comparison with other monitoring schemes, a more uniform coverage of the surveyed area is achieved. When conducting rapid analysis of moist soil, to increase the secretion of cysts, you should use a saturated solution of NaCl salt at the rate of 50 grams per 1 liter of water. Identification of cyst-forming potato nematodes should be carried out according to a set of morphometric parameters, biological features (using varieties-differentiators) and biochemical differences. Given the current high cost of biochemical methods of diagnosis, it is advisable to use them primarily to identify quarantine and new to science species of cyst-forming nematodes.


Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
M Lechtenberg ◽  
K Henschel ◽  
U Liefländer-Wulf ◽  
B Quandt ◽  
A Hensel
Keyword(s):  

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.


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