干旱区生态环境知识资源中心(Arid): A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy

Arid

DOI	10.1186/s13007-019-0544-3
	A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy
	Luo, Zinan; Thorp, Kelly R.; Abdel-Haleem, Hussein
通讯作者	Abdel-Haleem, Hussein
来源期刊	PLANT METHODS
EISSN	1746-4811
出版年	2019
卷号	15 期号:1
英文摘要	Background: Guayule (Parthenium argentatum A. Gray), a plant native to semi-arid regions of northern Mexico and southern Texas in the United States, is an alternative source for natural rubber (NR). Rapid screening tools are needed to replace the current labor-intensive and cost-inefficient method for quantifying rubber and resin contents. Near-infrared (NIR) spectroscopy is a promising technique that simplifies and speeds up the quantification procedure without losing precision. In this study, two spectral instruments were used to rapidly quantify resin and rubber contents in 315 ground samples harvested from a guayule germplasm collection grown under different irrigation conditions at Maricopa, AZ. The effects of eight different pretreatment approaches on improving prediction models using partial least squares regression (PLSR) were investigated and compared. Important characteristic wavelengths that contribute to prominent absorbance peaks were identified. Results: Using two different NIR devices, ASD FieldSpec (R) 3 performed better than Polychromix Phazir (TM) in improving R-2 and residual predicative deviation (RPD) values of PLSR models. Compared to the models based on full-range spectra (750-2500 nm), using a subset of wavelengths (1100-2400 nm) with high sensitivity to guayule rubber and resin contents could lead to better prediction accuracy. The prediction power of the models for quantifying resin content was better than rubber content. Conclusions: In summary, the calibrated PLSR models for resin and rubber contents were successfully developed for a diverse guayule germplasm collection and were applied to roughly screen samples in a low-cost and efficient way. This improved efficiency could enable breeders to rapidly screen large guayule populations to identify cultivars that are high in rubber and resin contents.
英文关键词	Parthenium argentatum Guayule Resin Rubber Near-infrared (NIR) spectroscopy Partial least squares regression (PLSR) Bioenergy crop
类型	Article
语种	英语
国家	USA
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000510636800003
WOS关键词	NATURAL-RUBBER ; GUAYULE ; EXTRACTION ; CALIBRATION ; PREDICTION ; BIOMASS ; MODELS ; LEAVES
WOS类目	Biochemical Research Methods ; Plant Sciences
WOS研究方向	Biochemistry & Molecular Biology ; Plant Sciences
EI主题词	2019-12-17
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311810
作者单位	USDA ARS, US Arid Land Agr Res Ctr, Maricopa, AZ 85138 USA
推荐引用方式 GB/T 7714	Luo, Zinan,Thorp, Kelly R.,Abdel-Haleem, Hussein. A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy[J],2019,15(1).
APA	Luo, Zinan,Thorp, Kelly R.,&Abdel-Haleem, Hussein.(2019).A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy.PLANT METHODS,15(1).
MLA	Luo, Zinan,et al."A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy".PLANT METHODS 15.1(2019).