|Table of Contents|

Establishment of NIRS Model for the Main Fatty Acids in Soybean(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2017年02期
Page:
295-300
Research Field:
Publishing date:

Info

Title:
Establishment of NIRS Model for the Main Fatty Acids in Soybean
Author(s):
WANG Duo1;  ZHANG Li2;  FAN Sujie1;  HAN Xiao1;  WU Han1;  WANG Piwu1;  YAO Dan1; ZHANG Jun1
1Agriculture College of Jilin Agricultural University, Changchun 130118, China;
2Agricultural Bureau of Shuangliao City, Shuangliao 136400, China
Keywords:
Soybean;  Fatty acid content;  Near infrared model
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2017.02.0295
Abstract:
In order to improve the efficiency of soybean fatty acid breeding and to speed up the breeding process, the fatty acid content of 289 soybean grain samples measured by GC and NIRFIEX N500 was used to collect the NIR spectra of soybean samples Using the principal component regression (prineipal component regession, referred to as PCR)， the calibration model was established by fitting and analyzing the value of the chemical experiment and the corresponding spectral curve Eleven calibration criteria were established for each fatty acid, and the highest value of calibration coefficient Q was selected as the calibration model The results showed the fit calibration Q value for the calibration model The fit Q value of palmitic acid was 08235, stearic acid was 08541, oleic acid was 08196, linoleic acid was 08291, and linolenic acid was 08363, respectively Validation results demonstrated that the errors between the near infrared detection and chemical test results were within 1.5%, which well explained the model and could be used to measure the fatty acid contents of soybean in breeding

References:

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Last Update: 2017-05-14