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Wednesday 13 July 2016

Variety identification method of coated maize seeds based on near-infrared spectroscopy and chemometrics

Published Date
May 2015, Vol.63:2126doi:10.1016/j.jcs.2014.07.003

Title 

Variety identification method of coated maize seeds based on near-infrared spectroscopy and chemometrics

  • Author 
  • Shiqiang Jia a,b
  • Dong An a,c,,
  • Zhe Liu a
  • Jiancheng Gu e
  • Shaoming Li a
  • Xiaodong Zhang a
  • Dehai Zhu a
  • Tingting Guo d
  • Yanlu Yan a
  • aCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • bKey Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing 100083, China
  • cModern Precision Agriculture System Integration Research Key Laboratory of Ministry of Education, Beijing 100083, China
  • dNational Maize Improvement Center of China, China Agricultural University, Beijing 100193, China
  • eBeijing Kings Nower Seed S&T CO., LTD., Beijing 100080, China
  • NIR spectroscopy is used to identify varieties of maize seeds.
  • The influence of seed coating agent on NIR spectra is evaluated.
  • Biomimetic pattern recognition method (BPR) is improved and applied.

Abstract

Near infrared spectroscopy (NIRS) has been used to identify variety authenticity of bare maize kernels. However, maize seeds are coated with seed coating agents in practice. Therefore it is of great significance to investigate the feasibility of identifying coated maize kernels by NIRS. This study employed NIRS to quickly determine the variety to which a sample of coated seed belonged. The NIR spectra of clean and coated seeds were obtained using MPA spectrometry in diffuse reflectance mode by three methods. Influence of seed coating agent on NIR spectra was discussed based on spectra collected from whole single seed by method 1. In method 2, to eliminate the influence of seed coat, the seed coat agent on the back side of the seed was polished away. In method 3, clean and coated seeds were cut open along the crease on the embryo side, and the sections were scanned by the spectrometer, so as to acquire information on the seed, and to avoid the influence of the seed coating agent. Then, support vector machine (SVM), soft independent modeling of class analogy (SIMCA), and biomimetic pattern recognition (BPR) were employed to establish the identification model for four maize varieties. Performance of variety models based on spectra measured by method 1 and 2 were poor. In method 3, the SIMCA model showed better performance than SVM and BPR models, and achieved an accuracy rate of 97.5%. The results demonstrated the feasibility of utilizing NIRS and chemometrics, as an objective and rapid method for the identification of maize seeds with seed coating agents.

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  • ∗ 
    Corresponding author. College of Information and Electrical Engineering, China Agricultural University, No. 17, Qinghuadonglu, Box 63, Beijing 100083, China. Tel.: +86 13366883406.

For further details log on website :
http://www.sciencedirect.com/science/article/pii/S073352101400126X

Protective roles of nitric oxide on seed germination and seedling growth of rice (Oryza sativa L.) under cadmium stress

Published Date
October 2014, Vol.108:114119doi:10.1016/j.ecoenv.2014.05.021

Title 

Protective roles of nitric oxide on seed germination and seedling growth of rice (Oryza sativa L.) under cadmium stress

  • Author 
  • Junyu He ,
  • Yanfang Ren
  • Xiulan Chen
  • Hui Chen
  • College of Agriculture, Guizhou University, Guiyang 550025, China

The effects of poly-unsaturated fatty acids on the physiology of hibernation in a South American marsupial, Dromiciops gliroides

Published Date
November 2014, Vol.177:6269doi:10.1016/j.cbpa.2014.07.004

Title 

The effects of poly-unsaturated fatty acids on the physiology of hibernation in a South American marsupial, Dromiciops gliroides

  • Author 
  • Carolina Contreras a
  • Marcela Franco b
  • Ned J. Place c
  • Roberto F. Nespolo a,d,,
  • aInstituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Casilla 567, Campus Isla Teja, Valdivia 5090000, Chile
  • bFacultad de Ciencias Naturales y Matemáticas, Universidad de Ibagué, Carrera 22 Calle 67 Barrio Ambalá, Ibagué, Tolima, Colombia
  • cDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
  • dCenter of Applied Ecology and Sustainability (CAPES)

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