高效液相色谱快速测定两种红景天中红景天苷的含量

用高效液相色谱快速测定红景天苷的含量,比较了三种处理样品的方法。在所用实验条件下,2 min即可完成分析,在测定范围内,含量与峰面积之间呈良好的线性关系(R=0．9993),样品的峰面积相对平均偏差(RSD)为0.72％,平均回收率98．6％,RSD为2．1％．该方法样品处理简单,分析速度快,可用于红景天中红景天苷的快速测定。     

Cloning and expression of swine myostatin gene and its application in animal immunization trial

An important performance trait target in swine breeding is the percentage of the lean meat within the total consumable pork. China has numerous indige-nous swine breeds, but the percentage of the lean meat percentage is generally low. Thus, increasing the per-centage of the lean meat would improve the pork qual-ity, which would have great importance in the devel-opment of our livestock industry as well as the opti-mization of the consumers’ dietary. Throughout the years researchers have been …     

Spatial heterogeneity and population risk analysis of cotton bollworm, Helicoverpa armigera, in China

In this study, semivariance was used to quantitatively measure the spatial heterogeneity for the egg population of cotton bollworm during a growing season. The typical characteristic parameters of theoretical semivariance models against lag distances were applied to measure components of spatial heterogeneity： trend, range, spatial dependence, and the strength of spatial dependence. Then, kriging interpolation was used to evaluate the population risk of cotton bollworm exceeding economic thresholds. From early June through early September, the population densities were sampled 10 times in the study field. Results showed that the spatial patterns were related to population density. For its low-density population, the spatially heterogeneous trends were usually of spherical shapes; but for highdensity ones, the trends shifted to Gaussian shapes. The spatial dependence appeared at varied distances ranging from 52 meters to 936 meters, and the spatial dependence was in the range of 0.39-288.60, which changed with population densities. While having high heterogeneity, the strength of spatial dependence became much stronger. Results of population risk analysis showed that there was a high risk during its early stages, especially in mid-June. In August, population risk was so low that it did not need to be controlled.