title: [Testing of germination rate of hybrid rice seeds based on near-infrared reflectance spectroscopy].
abstract: Germination rate of rice seeds was measured according to technical stipulation of germination testing for agricultural crop seeds at present. There existed many faults for this technical stipulation such as long experimental period, more costing and higher professional requirement. A rapid and non-invasive method was put forward to measure the germination rate of hybrid rice seeds based on near-infrared reflectance spectroscopy. Two varieties of hybrid rice seeds were aged artificially at temperature 45 degrees C and humidity 100% condition for 0, 24, 48, 72, 96, 120 and 144 h. Spectral data of 280 samples for 2 varieties of hybrid rice seeds with different aging time were acquired individually by near-infrared spectra analyzer. Spectral data of 280 samples for 2 varieties of hybrid rice seeds were randomly divided into calibration set (168 samples) and prediction set (112 samples). Gormination rate of rice seed with different aging time was tested. Regression model was established by using partial least squares (PLS). The effect of the different spectral bands on the accuracy of models was analyzed and the effect of the different spectral preprocessing methods on the accuracy of models was also compared. Optimal model was achieved under the whole bands and by using standardization and orthogonal signal correction (OSC) preprocessing algorithms with CM2000 software for spectral data of 2 varieties of hybrid rice seeds, the coefficient of determination of the calibration set (Rc) and that of the prediction set (Rp) were 0.965 and 0.931 individually, standard error of calibration set (SEC) and that of prediction set (SEP) were 1.929 and 2.899 respectively. Relative error between tested value and predicted value for prediction set of rice seeds is below 4.2%. The experimental results show that it is feasible that rice germination rate is detected rapidly and nondestructively by using the near-infrared spectroscopy analysis technology.
authors.forename: Yi-nian
authors.initials: YN
authors.lastname: Li
authors.forename: Dan
authors.initials: D
authors.lastname: Jiang
authors.forename: Ying-ying
authors.initials: YY
authors.lastname: Liu
authors.forename: Wei-min
authors.initials: WM
authors.lastname: Ding
authors.forename: Qi-shuo
authors.initials: QS
authors.lastname: Ding
authors.forename: Liang-yu
authors.initials: LY
authors.lastname: Zha
mesh_terms: D002138:Calibration; D018525:Germination; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D012275:Oryza; D012639:Seeds / Q000502:physiology*; D019265:Spectroscopy, Near-Infrared