ABSTRACT
ABSTRACT: The Nitrogen content of rice leaves has a significant effect on growth quality and crop yield. We proposed and demonstrated a non-invasive method for the quantitative inversion of rice nitrogen content based on hyperspectral remote sensing data collected by an unmanned aerial vehicle (UAV). Rice canopy albedo images were acquired by a hyperspectral imager onboard an M600-UAV platform. The radiation calibration method was then used to process these data and the reflectance of canopy leaves was acquired. Experimental validation was conducted using the rice field of Shenyang Agricultural University, which was classified into 4 fertilizer levels: zero nitrogen, low nitrogen, normal nitrogen, and high nitrogen. Gaussian process regression (GPR) was then used to train the inversion algorithm to identify specific spectral bands with the highest contribution. This led to a reduction in noise and a higher inversion accuracy. Principal component analysis (PCA) was also used for dimensionality reduction, thereby reducing redundant information and significantly increasing efficiency. A comparison with ground truth measurements demonstrated that the proposed technique was successful in establishing a nitrogen inversion model, the accuracy of which was quantified using a linear fit (R2=0.8525) and the root mean square error (RMSE=0.9507). These results support the use of GPR and provide a theoretical basis for the inversion of rice nitrogen by UAV hyperspectral remote sensing.
RESUMO: O teor de nitrogênio das folhas de arroz tem um efeito significativo sobre a qualidade do crescimento e o rendimento das culturas. Propõe-se e demonstrou-se um método não invasivo para a inversão quantitativa do teor de nitrogênio do arroz com base em dados de detecção remota hiperespectral coletados por um veículo aéreo não tripulado (UAV). As imagens de albedo do dossel de arroz foram adquiridas por uma imagem de imagem hiperespectral a bordo de uma plataforma M600-UAV. O método de calibração da radiação foi então usado para processar esses dados e a reflectância das folhas do dossel foi adquirida. A validação experimental foi realizada utilizando o campo de arroz da Universidade Agrícola de Shenyang, que foi classificado em 4 níveis de fertilizantes: nitrogênio zero, baixo teor de nitrogênio, nitrogênio normal e alto teor de nitrogênio. A regressão do processo gaussiano (GPR) foi então usada para treinar o algoritmo de inversão para identificar bandas espectrais específicas com a maior contribuição. Isso levou a uma redução no ruído e uma maior precisão de inversão. A análise de componentes praincipais (PCA) também foi usada para redução de dimensionalidade, reduzindo assim a informação redundante e aumentando significativamente a eficiência. Uma comparação com as medidas de verdade no solo demonstrou que a técnica proposta foi bem sucedida no estabelecimento de um modelo de inversão de nitrogênio, cuja precisão foi quantificada usando um ajuste linear (R2 = 0,8525) e o erro quadrático médio quadrado (RMSE = 0,9507). Estes resultados suportam o uso do GPR e fornecem uma base teórica para a inversão do nitrogênio do arroz pela detecção remota hiperespectral do UAV.
ABSTRACT
This study is to evaluate the therapeutic effect of fibroblast growth factor 21 (FGF21) on type 2 diabetic mice model and to provide mechanistic insights into its therapeutic effect. Type 2 diabetic animal model was established with high calorie fat diet and low dose streptozotocin (STZ) injection. Mice were then randomized into 5 groups: model control, FGF21 0.25 and 0.05 μmol x kg(-1) x d(-1) groups, insulin treatment group. Ten age-matched normal KM mouse administered with saline were used as normal controls. Serum glucose, insulin, lipid products and the change of serum and liver tissue inflammation factor levels between five groups of mouse were determined. The results showed that blood glucose, insulin, free fatty acids (FFAs), triglycerides, and inflammatory factor average FGF-21 of type 2 diabetes model group and normal control group were significantly higher (P < 0.01), while compared with insulin group, no difference was significant. Average blood glucose, insulin, blood lipid and inflammatory factor of FGF-21 treatment group compared with type 2 diabetes group was significantly lower (P < 0.01) and insulin group has no difference with the model control group. The results of OGTT and HOMA-IR showed that insulin resistance state was significantly relieved in a dose-dependent manner. Thus, this study demonstrates that FGF-21 significantly remits type 2 diabetic mice model's insulin resistance state and participates in the regulation of inflammatory factor levels and type 2 diabetes metabolic disorders.
ABSTRACT
This study is to evaluate the therapeutic effect of fibroblast growth factor 21 (FGF21) on hypertension induced by insulin resistance in rats and to provide mechanistic insights into its therapeutic effect. Male Sprague-Dawley (SD) rats were fed with high-fructose (10%) water to develop mild hypertensive models within 4 weeks, then randomized into 4 groups: model control, FGF21 0.25, 0.1 and 0.05 micromol x kg(-1) x d(-1) groups. Five age-matched normal SD rats administrated with saline were used as normal controls. The rats in each group were treated once a day for 4 weeks. Body weight was measured weekly, systolic blood pressure (SBP) was measured noninvasively using a tail-cuff method, insulin sensitivity was assessed using oral glucose tolerance test (OGTT) and HOMA-IR assay. At the end of the treatment, blood samples were collected, and blood glucose, serum cholesterol, serum triglyceride and serum insulin were measured. The results showed that blood pressure of the rats treated with different doses of FGF21 returned to normal levels [(122.2 +/- 3.5) mmHg, P < 0.01] after 4-week treatment, whereas, SBP of untreated (model control) rats maintained a high level [(142.5 +/- 4.5) mmHg] throughout the treatment. The observation of blood pressure in 24 h revealed that SBP of FGF21 treated-rats maintained at (130 +/- 4.5) mmHg vs. (143 +/- 5.5) mmHg for model control (P < 0.01). FGF21 treatment groups improved serum lipids obviously, total cholesterol (TC) and triglyceride (TG) levels decreased significantly to normal levels. The serum NO levels of three different doses FGF21 treatment group were significantly higher than that of the model control group [(7.32 +/- 0.11), (7.24 +/- 0.13), (6.94 +/- 0.08) vs. (6.56 +/- 0.19) micromol x L(-1), P < 0.01], and the degree of improvement showed obvious dose-dependent manner, indicating that FGF21 can significant increase serum NO in fructose-induced hypertension rat model and improve endothelial NO release function. The results of OGTT and HOMA-IR showed that insulin resistance state was significantly relieved in a dose-dependent manner. Thus, this study demonstrates that FGF21 significantly ameliorates blood pressure in fructose-induced hypertension model by relieving insulin resistance. This finding provides a theoretical support for clinical application of FGF21 as a novel therapeutics for treatment of essential hypertension.