Hyperspectral data are an important source for monitoring soil salt content on a large scale. However, in previous studies, barriers such as interference due to the presence of vegetation restricted the precision of m...Hyperspectral data are an important source for monitoring soil salt content on a large scale. However, in previous studies, barriers such as interference due to the presence of vegetation restricted the precision of mapping soil salt content. This study tested a new method for predicting soil salt content with improved precision by using Chinese hyperspectral data, Huan Jing-Hyper Spectral Imager(HJ-HSI), in the coastal area of Rudong County, Eastern China. The vegetation-covered area and coastal bare flat area were distinguished by using the normalized differential vegetation index at the band length of 705 nm(NDVI705). The soil salt content of each area was predicted by various algorithms. A Normal Soil Salt Content Response Index(NSSRI) was constructed from continuum-removed reflectance(CR-reflectance) at wavelengths of 908.95 nm and 687.41 nm to predict the soil salt content in the coastal bare flat area(NDVI705 < 0.2). The soil adjusted salinity index(SAVI) was applied to predict the soil salt content in the vegetation-covered area(NDVI705 ≥ 0.2). The results demonstrate that 1) the new method significantly improves the accuracy of soil salt content mapping(R2 = 0.6396, RMSE = 0.3591), and 2) HJ-HSI data can be used to map soil salt content precisely and are suitable for monitoring soil salt content on a large scale.展开更多
[Objective] The paper was to study the temporal and spatial dynamics of Bt protein expression in transgenic Bt cotton and to determine the inner relationship of Bt protein expression and transgenic Bt cotton. [Method]...[Objective] The paper was to study the temporal and spatial dynamics of Bt protein expression in transgenic Bt cotton and to determine the inner relationship of Bt protein expression and transgenic Bt cotton. [Method] With transgenic cotton cultivar（ GK19） as the test material,Bt protein contents in different organs,main stem functional leaves at different growth stages and different positions of main stem leaves at different growth stages were studied by enzyme-linked immunosorbent assay. [Result] There were differences in Bt protein content among different organs of transgenic Bt cotton; the Bt protein content of leaves at seedling stage was the highest,followed by flowers,bubs and bolls,and those of roots and stems were relatively low. The Bt protein content of main stem function leaves gradually decreased with the progressing development. There were great differences in Bt protein content among different positions of main stem leaves at different growth stages; the Bt protein content of the 1^（st）-7^（th） top leaves at seedling stage and full budding stage gradually decreased,while those at full flowering stage and full bolling stage first slowly increased then gradually stabilized. [Conclusion] Bt protein expression was found in all organs of transgenic cotton at all growth stages,and the expression level presented temporal and spatial dynamics.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41230751,41101547)Scientific Research Foundation of Graduate School of Nanjing University(No.2012CL14)
文摘Hyperspectral data are an important source for monitoring soil salt content on a large scale. However, in previous studies, barriers such as interference due to the presence of vegetation restricted the precision of mapping soil salt content. This study tested a new method for predicting soil salt content with improved precision by using Chinese hyperspectral data, Huan Jing-Hyper Spectral Imager(HJ-HSI), in the coastal area of Rudong County, Eastern China. The vegetation-covered area and coastal bare flat area were distinguished by using the normalized differential vegetation index at the band length of 705 nm(NDVI705). The soil salt content of each area was predicted by various algorithms. A Normal Soil Salt Content Response Index(NSSRI) was constructed from continuum-removed reflectance(CR-reflectance) at wavelengths of 908.95 nm and 687.41 nm to predict the soil salt content in the coastal bare flat area(NDVI705 < 0.2). The soil adjusted salinity index(SAVI) was applied to predict the soil salt content in the vegetation-covered area(NDVI705 ≥ 0.2). The results demonstrate that 1) the new method significantly improves the accuracy of soil salt content mapping(R2 = 0.6396, RMSE = 0.3591), and 2) HJ-HSI data can be used to map soil salt content precisely and are suitable for monitoring soil salt content on a large scale.
基金Supported by Genetic Engineering Project of Sichuan Province(2014LWJJ-011)
文摘[Objective] The paper was to study the temporal and spatial dynamics of Bt protein expression in transgenic Bt cotton and to determine the inner relationship of Bt protein expression and transgenic Bt cotton. [Method] With transgenic cotton cultivar（ GK19） as the test material,Bt protein contents in different organs,main stem functional leaves at different growth stages and different positions of main stem leaves at different growth stages were studied by enzyme-linked immunosorbent assay. [Result] There were differences in Bt protein content among different organs of transgenic Bt cotton; the Bt protein content of leaves at seedling stage was the highest,followed by flowers,bubs and bolls,and those of roots and stems were relatively low. The Bt protein content of main stem function leaves gradually decreased with the progressing development. There were great differences in Bt protein content among different positions of main stem leaves at different growth stages; the Bt protein content of the 1^（st）-7^（th） top leaves at seedling stage and full budding stage gradually decreased,while those at full flowering stage and full bolling stage first slowly increased then gradually stabilized. [Conclusion] Bt protein expression was found in all organs of transgenic cotton at all growth stages,and the expression level presented temporal and spatial dynamics.
