Principal Component Analysis(PCA) can simplify the structure of database by replacing multi-dimensional parameters with relatively less comprehensive variables in order to ensure the minimum lost in initial data.In th...Principal Component Analysis(PCA) can simplify the structure of database by replacing multi-dimensional parameters with relatively less comprehensive variables in order to ensure the minimum lost in initial data.In this paper,eighteen black soil samples from different sites were tested and thirteen distinctive indexes were chosen to evaluate the degeneration of black soil.By using principal component analysis,variables of thirteen dimensions can be diminished to six unrelated principal indexes.Analysis shows that the soluble salt content,Fulvic acids(FA) and aggregation degree have a high weighing coefficient,indicating these three indexes are the major parts for the evaluation of black soil degradation.It also provides a new path to the degenerated black soil treatment in Northeast China.展开更多
The present researches mentioned questions of economic use of domestic triticale and their influences on a phytosanitory condition and fertility of an irrigated arable land in the Chuy Valley of Kyrgyzstan. The result...The present researches mentioned questions of economic use of domestic triticale and their influences on a phytosanitory condition and fertility of an irrigated arable land in the Chuy Valley of Kyrgyzstan. The result of the work consists of four tables, purpose of the work was to discover roots systems, nutrion value and the main laboratory testing of samples were conducted at the Humboldt University in Berlin, which was completed under the high and compliant standards of the world. The present research conducted on triticale varieties was firstly studied in Kyrgyzstan.展开更多
基金Supported by College Students Innovation Experiment Plan of Jilin University(No.2009A63066)the National Natural Science Foundation of China (No.406721800)the International Cooperation Projects of National Natural Science Funds(No.40911120044)
文摘Principal Component Analysis(PCA) can simplify the structure of database by replacing multi-dimensional parameters with relatively less comprehensive variables in order to ensure the minimum lost in initial data.In this paper,eighteen black soil samples from different sites were tested and thirteen distinctive indexes were chosen to evaluate the degeneration of black soil.By using principal component analysis,variables of thirteen dimensions can be diminished to six unrelated principal indexes.Analysis shows that the soluble salt content,Fulvic acids(FA) and aggregation degree have a high weighing coefficient,indicating these three indexes are the major parts for the evaluation of black soil degradation.It also provides a new path to the degenerated black soil treatment in Northeast China.
文摘The present researches mentioned questions of economic use of domestic triticale and their influences on a phytosanitory condition and fertility of an irrigated arable land in the Chuy Valley of Kyrgyzstan. The result of the work consists of four tables, purpose of the work was to discover roots systems, nutrion value and the main laboratory testing of samples were conducted at the Humboldt University in Berlin, which was completed under the high and compliant standards of the world. The present research conducted on triticale varieties was firstly studied in Kyrgyzstan.
