Study on the Technology of Spatial Variation of Soil Nutrients and Regionalized Fertilization of Maize in Shuangcheng
Wei Ying
Abstract
Wei Ying
Abstract
Spatial variability and regionalized fertilization in Shuangcheng city of Heilongjiang province were studied using the technology of Global Positioning System and Geography Information System.The results showed that the black calcareors soil in the southwest of Heilongjiang province was relatively rich in nutrient;the content of boron was fairly high,but the content of nitrogen was comparatively low.The variation of spatial distribution of B,N,S,P was significant.The declining degree of the spatial distribution of B was fairly high.The close correlation existed between the degree of soil nutrients declining and the coefficient of variance of soil nutrient,and the correlation coefficient was 0.9674.The regionalized fertilization of maize has achieved significant effect,through which the yield increased 851 kg/hm2,the average increase rate was 10.9%,and the average benefit was 610 yuan/hm2.
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Spatial variability and regionalized fertilization in Shuangcheng city of Heilongjiang province were studied using the technology of Global Positioning System and Geography Information System.The results showed that the black calcareors soil in the southwest of Heilongjiang province was relatively rich in nutrient;the content of boron was fairly high,but the content of nitrogen was comparatively low.The variation of spatial distribution of B,N,S,P was significant.The declining degree of the spatial distribution of B was fairly high.The close correlation existed between the degree of soil nutrients declining and the coefficient of variance of soil nutrient,and the correlation coefficient was 0.9674.The regionalized fertilization of maize has achieved significant effect,through which the yield increased 851 kg/hm2,the average increase rate was 10.9%,and the average benefit was 610 yuan/hm2.
Key concepts: Human fertilization, Soil nutrients, Nutrient, Spatial distribution, Agronomy, Environmental science, Spatial variability, Correlation coefficient