Targeted metabolomics analysis of fatty acids in soybean seeds using GC-MS to reveal the metabolic manipulation of shading in the intercropping system-Reference-Cited by-同舟云学术

Targeted metabolomics analysis of fatty acids in soybean seeds using GC-MS to reveal the metabolic manipulation of shading in the intercropping system

Published:2017 Issue:14 Volume:9 Page:2144-2152
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Yang Cai-qiong¹²³⁴⁵,Iqbal Nasir¹²³⁴,Hu Bao-yu¹²³⁴,Zhang Qi-hui¹²³⁴,Wu Hai-jun¹²³⁴,Liu Xin¹²³⁴,Zhang Jing¹²³⁴⁶,Liu Wei-guo¹²³⁴⁵,Yang Wen-yu¹²³⁴,Liu Jiang¹²³⁴⁵^ORCID

Affiliation:

1. Key Laboratory of Crop Ecophysiology and Farming System in Southwest

2. Ministry of Agriculture

3. Chengdu 611130

4. China

5. Institute of Ecological Agriculture

6. College of Horticulture

Abstract

Targeted metabolomics analysis was conducted to quantify fatty acids in soybean seeds using GC-MS. PLS-DA helped to determine the appropriate row spacing in the intercropping system.

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2017/AY/C7AY00011A

Reference48 articles.

1. Heritability of Oleic Acid Content in Soybean Seed Oil and Its Genetic Correlation with Fatty Acid and Agronomic Traits

2. Analysis of Isoflavone, Phenolic, Soyasapogenol, and Tocopherol Compounds in Soybean [Glycine max (L.) Merrill] Germplasms of Different Seed Weights and Origins