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Nondestructive phenotyping fatty acid trait of single soybean seeds using reflective hyperspectral imagery

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成果类型:
期刊论文
作者:
Fu, Dandan;Zhou, Jianfeng;Scaboo, Andrew M.;Niu, Xiaofan
通讯作者:
Jianfeng Zhou
作者机构:
[Fu, Dandan; Zhou, Jianfeng] Univ Missouri, Div Food Syst & Bioengn, 211 Ag Engn Bldg, Columbia, MO 65211 USA.
[Fu, Dandan] Wuhan Polytech Univ, Coll Mech Engn, Wuhan, Peoples R China.
[Niu, Xiaofan; Scaboo, Andrew M.] Univ Missouri, Div Plant Sci, Columbia, MO 65211 USA.
通讯机构:
[Jianfeng Zhou] D
Division of Food Systems and Bioengineering, University of Missouri, Columbia, Missouri, USA
语种:
英文
期刊:
Journal of Food Process Engineering
ISSN:
0145-8876
年:
2021
卷:
44
期:
8
页码:
e13759-
机构署名:
本校为其他机构
院系归属:
机械工程学院
摘要:
Soybean (Glycine max) is one of the most economically important crops in the world and is used widely for different purposes. Breeding programs have developed new varieties with desired traits, including altered fatty acid profiles and levitated protein content. The breeding process involves the selection of elite genotypes from a large number of experimental lines, which is time-consuming and costly. This study aimed to evaluate the feasibility of a reflective hyperspectral imaging system in classifying the fatty acid content of single soybean seeds for high-throughput phenotyping high oleic ...

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