A Study of Chinese Gooseberry Soil Evaluation Based on GIS

2012 ◽  
Vol 170-173 ◽  
pp. 923-927
Author(s):  
Lei Zhang ◽  
Yan Yun Wang ◽  
Wen Bao Liu
Keyword(s):  
Data Management ◽  
Evaluation Model ◽  
Soil Nutrient ◽  
Shaanxi Province ◽  
Nutrient Level ◽  
Soil Fertilization ◽  
Soil Evaluation ◽  
Gis Methods ◽  
Nutrient Data ◽  
Application Of Gis

In this article, with rich production of Chinese gooseberry in Zhouzhi County of Shaanxi Province as an example, conducted an application of GIS based soil fertilization management. First, soil nutrient data (9 kinds) is interpolated as raster with GIS methods; then nutrient level is graded, and composite nutrient level is graded. At last, composite evaluation model, output-fertilize model is constructed. This method is a successful application of GIS based data management and spatial analysis in the use of soil fertilization management, and make soil nutrient data management with raster and soil nutrient data composite analysis as reality. So it is a useful request and is meaningful in theory and application realm.

Study on the Relationship between Soil Nutrient and Yield Analysis Based on Bivariate Correlation between

2014 ◽  
Vol 998-999 ◽  
pp. 1466-1469
Author(s):  
Li Ying Cao ◽  
Xiao Xian Zhang ◽  
Yue Ling Zhao ◽  
Gui Fen Chen
Keyword(s):  
Soil Nutrient ◽  
Nutrient Content ◽  
Maize Yield ◽  
Nutrient Level ◽  
Corn Yield ◽  
Yield Analysis ◽  
Bivariate Correlation ◽  
Plot Yield ◽  
The Relationship ◽  
Nitrogen Phosphorus

Soil nutrient level is an important factor affecting the yield of corn, to find out the effect of nitrogen, phosphorus, potassium on maize yield, analysis of bivariate correlation in SPSS based on the relationship between nutrient content, nitrogen, phosphorus, potassium in the plot and each plot yield directly was analyzed, the experimental results show that it doesn't matter: P, K and the yield of corn, corn yield and nitrogen related.

Application of Discriminant Analysis Techniques to Determine Soil Fertility Grades

2011 ◽  
Vol 255-260 ◽  
pp. 3018-3021
Author(s):  
Bing Chen Fan
Keyword(s):  
Organic Matter ◽  
Discriminant Analysis ◽  
Soil Fertility ◽  
Soil Nutrient ◽  
New Method ◽  
Discriminate Analysis ◽  
Analysis Techniques ◽  
Available Phosphate ◽  
Nutrient Data

By a method of discriminate analysis, the content of organic matter, alkali hydrolyzadle nitrogen, rapidly available phosphate, rapidly available potassium were used as the identification factors, and soil nutrient data and grain output were analysed. The results of the analysis has indicated that discriminate analysis can determine grades of the soil fertility. The fitting rate was over 80% , and that accuracy of forecast was right. This new method may be tried for determining grades of the soil fertility.

scholarly journals The Role of Habitat Types and Soil Physicochemical Properties in the Spread of a Non Native Shrub Lantana Camara in the Doon Valley, Western Himalaya, India

2014 ◽  
Vol 7 (3-4) ◽  
pp. 31-42 ◽  
Author(s):  
Gautam Mandal ◽  
Shambhu Prasad Joshi
Keyword(s):  
Physicochemical Properties ◽  
Soil Nutrient ◽  
Western Himalaya ◽  
Site Effect ◽  
Lantana Camara ◽  
Nutrient Level ◽  
Canopy Area ◽  
Shrub Canopy ◽  
Phosphorus And Potassium ◽  
The Impact

Abstract Invasive alien species colonize very aggressively and forcefully, menacing native biodiversity. The success of invasive alien plants is due to their opportunistic exploitation of anthropogenic disturbances, the absence of natural enemies, free from herbivory and frequently their allelopathic competition. Invasive species can have a significant impact on development, affecting sustainability of livelihood, food security and essential ecosystem services and dynamics. Lantana camara is a documented weed of worldwide significance; it is indigestible due to its toxic chemicals and highly competitive. In this study physicochemical properties of soil were analysed from different high and low Lantana infested areas. Significant site effect was frequently observed than effect due to invasion status. The present study tested the impact of soil properties in the measured and calculated attributes of Lantana by randomly sampling soil from the highly invaded and less invaded sites in different habitats using the Modified Whittaker plot design. Results indicated that edaphic factors such as soil pH, total nitrogen, soil organic carbon, phosphorus and potassium content positively influenced the growth of Lantana and helped in its own further invasion process. These factors were also positively influencing the measured and calculated attributes of Lantana such as canopy coverage, average crown diameter, shrub canopy area, phytovolume and biomass from all sites. However some attributes like shrub height and stem diameter were negatively influenced by these soil factors. The present results show that Lantana invasion can significantly improve the soil nutrient level but also positively increasing the chances of its further invasion with more copious plant attributes.

Based on the Matter-Element Theory for the Construction of Small Towns Evaluation Model and Application

2012 ◽  
Vol 599 ◽  
pp. 924-928
Author(s):  
Ting Wang ◽  
Mao Sheng Yang
Keyword(s):  
Evaluation Model ◽  
Evaluation Study ◽  
Small Towns ◽  
Shaanxi Province ◽  
Combination Method ◽  
Entropy Weight ◽  
Correlation Degree ◽  
Yulin City ◽  
The Empirical Analysis ◽  
Element Theory

Based on the extensible matter-element theory, this paper constructs the evaluation model of construction lands combined the analysis of current situation of construction lands in towns of northern area Shaanxi province. Also, by using combination method of entropy weight and level analysis, we find out the weighted coefficient of each indicator and the correlation degree of correlation functions. Through the empirical analysis from Shenmu, Qingjian, Zizhou town in Yulin city, Shaanxi Province, We confirm the feasibility and advantages of the extensible matter-element evaluation in the evaluation study of the construction land.

scholarly journals Shotgun Metagenomics evaluation of soil fertilization effect on the rhizosphere viral community of maize plants

2021 ◽  
Author(s):  
Nwabunwanne Lilian Nwokolo ◽  
MATTHEW Chekwube ENEBE
Keyword(s):  
Soil Nutrient ◽  
Fertilizer Application ◽  
Progressive Increase ◽  
Organic Manure ◽  
Inorganic Fertilizer ◽  
Soil Fertilization ◽  
Shotgun Metagenomics ◽  
Viral Community ◽  
Fertilized Soil ◽  
Abundance And Diversity

Abstract The need for sustainability in food supply has led to progressive increase in soil nutrient enrichment. Fertilizer application affect both biological and abiotic processes in the soil, of which bacterial community that support viral multiplication are equally influenced. Soil viral community composition and dynamics are affected by soil fertilization with less exploration on organic and inorganic fertilizer application. In this study, we evaluated the influence of soil fertilization on the maize rhizosphere viral community growing in Luvisolic soil. The highest abundance of bacteriophages were detected in soil treated with high compost manure (Cp8), low inorganic fertilizer (N1), low compost (Cp4) and control (Cn0). Our result showed higher frequency of Myoviridae (47%), Podoviridae (46%) and Siphoviridae (90%) in high organic manure (Cp8) fertilized compared to others. While Inoviridae (98%) and Microviridae (74%) were the most abundant phage families in low organic (Cp4) fertilized soil. This demonstrate that soil fertilization with organic manure increases the abundance and diversity of viruses in the soil due to its soil conditioning effects.

Sign in / Sign up

Export Citation Format

Share Document