ABSTRACT
The prediction of crop grain protein by hyperspectral data has the nondestructive and quick advantages. At present, there are only a few reports about the prediction of barley grain protein by remote sensing. The present research focuses on the malt barley of Northeast China. Firstly, we analyzed the sensitive band area, compared many vegetation indexes related with the plant nitrogen. According to the mechanism of nitrogen transfer, the authors built the prediction model based on the hyperspectral vegetation indexes. Finally, we validated the results. It can meet the standard. The outcome shows that (1) the sensitive band region of barley plant nitrogen is 550-590 nm and 670-710 nm. (2) GRVI was significantly correlated with plant nitrogen. The relationship between GRVI and barley plant nitrogen had a coefficient of determination of R2 = 0.665 1. The results indicated that the prediction of barley grain protein by hyperspectral data is feasible. This research will be a strong scientific support for barley purchase.
Subject(s)
Hordeum , Plant Proteins , Edible Grain , Models, Theoretical , NitrogenABSTRACT
The objective of the present paper is to explore the experimental changes in the content of Zn, Fe, Cu, Mn, Cr, Pb and Cd in white rabbit liver with atherosclerosis disease. The method is to reproduce white rabbit liver with atherosclerosis disease by a high-fat diet, and then measure the Zn, Fe, Cu, Mn, Cr, Pb and Cd content with atomic absorption spectrometry. Results show that the Zn, Fe, Cu, Mn, Cr, Pb and Cd contents in the fodders of the normal group are 137.6, 362.3, 14.39, 9.599 mg x kg(-1) and 159.3, 355.0, 290.0 microg x kg(-1), and 86.09, 277.1, 11.07, 5.366 mg x kg(-1) and 115.2, 286.0, 210.5 microg x kg(-1), in high-adipose group. It was concluded that Zn, Fe, Cu, Mn, Cr, Pb and Cd contents in white rabbit liver decline, which may have something to do with the intake of foods and the abnormalities of lipoprotein metabolism.