[Quantitative analysis of hybrid maize seed purity using near infrared spectroscopy].

A quantitative identification model for testing the purity of hybrid maize seeds was built by near infrared reflectance spectroscopy with quantitative partial least squares (QPLS). The NIR spectra of 123 seeds powder samples (Nongda108 and mother178) with the purity of 600-100% were collected using MPA spectrometer. All samples were divided into two groups: calibration set (82 samples) and validation set (41 samples).

[Rapid and nondestructive discrimination of hybrid maize seed purity using near infrared spectroscopy].

Near infrared spectroscopy technology was applied to study rapid and nondestructive discrimination method of hybrid maize seed purity. With NongDa108 hybrid seeds and mother 178 seeds, a discrimination model for the purity of maize single seed was built by near infrared reflectance spectroscopy with distinguished partial least squares (DPLS). A total of 200 seeds including 100 hybrid seeds and 100 mother seeds were divided into two groups: calibration set (150 samples) and validation set (50 samples), and each group had same number of hybrid and mother seeds.

[Determination of hard rate of licorice (Glycyrrhiza uralensis F.) seeds using near infrared reflectance spectroscopy].

With 112 licorice seed samples with different hard rates ranging from 0.3% to 99.3%, harvested in different years from 2002 to 2007 and from different locations of China including Xinjiang municipality, Ningxia province, Inner-Mongolia municipality, Gansu province, Shanxi province and Heilongjiang province, a model for determining hard rate of licorice seeds was tried to be built by near infrared reflectance spectroscopy with quantitative partial least squares (QPLS).

[Identification of hardness of licorice single seed using near infrared spectroscopy].

To break the dilemma on judging hard seeds and soft seeds of licorice and other legume families nondestructively, a distinguishing model for the hardness of licorice single seed was tried to be built by near infrared reflectance spectroscopy with distinguished partial least squares(DPLS). A total of 244 licorice seeds were divided into three groups: calibration set (120 samples), validation set (60 samples) and prediction set (64 samples), and each group has the same number of hard seeds and soft seeds. To eliminate the human error as far as possible, a specially made sample cup was designed for spectrum acquisition.

[Research of seed quality grading of Glycyrrhiza uralensis].

Objective: To formulate the seed quality grading standard of Glycyrrhiza uralensis.

Method: Thousand-grain weight, seed moisture, germination rate, purity of G. uralensis seed samples from 24 regions were tested.

[Survey of study on the extraction, purification and determination methods of glycyrrhizic acid in Licorice].

Extraction, purification and determination methods of glycyrrhizic acid in Licorice are surveyed in this paper. The extracting efficiency of dilute ethanol solvent for glycyrrhizic acid is higher than water extraction, and ammonia appended to ethanol solution can increase the effect of extraction. Ultrasound method, microwave-assisted method and supercritical CO2 fluid extraction are more effective than the conventional techniques, due to the short extraction time, low consumption of solution and energy.

[The genetic control of heading time in wheat].

Responses to vernalization,photoperiod and earliness per se are three important factors affecting heading time in wheat. Their actions and interactions may adjust the phasic development of wheat to avoid environmental stress. The genetic control of heading time in wheat is very complex, and this paper summarizes its research progress in details.