干旱区生态环境知识资源中心(Arid): Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis

Arid

DOI	10.1038/s41598-019-52802-5
	Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis
	El-Hendawy, Salah 1,2; Al-Suhaibani, Nasser 1; Alotaibi, Majed 1; Hassan, Wael 3,4; Elsayed, Salah 5; Tahir, Muhammad Usman 1; Mohamed, Ahmed Ibrahim 6; Schmidhalter, Urs 7
通讯作者	El-Hendawy, Salah
来源期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
出版年	2019
卷号	9
英文摘要	The timely estimation of growth and photosynthetic-related traits in an easy and nondestructive manner using hyperspectral data will become imperative for addressing the challenges of environmental stresses inherent to the agricultural sector in arid conditions. However, the handling and analysis of these data by exploiting the full spectrum remains the determining factor for refining the estimation of crop variables. The main objective of this study was to estimate growth and traits underpinning photosynthetic efficiency of two wheat cultivars grown under simulated saline field conditions and exposed to three salinity levels using hyperspectral reflectance information from 350-2500 nm obtained at two years. Partial least squares regression (PLSR) based on the full spectrum was applied to develop predictive models for estimating the measured parameters in different conditions (salinity levels, cultivars, and years). Variable importance in projection (VIP) of PLSR in combination with multiple linear regression (MLR) was implemented to identify important waveband regions and influential wavelengths related to the measured parameters. The results showed that the PLSR models exhibited moderate to high coefficients of determination (R-2) in both the calibration and validation datasets (0.30-0.95), but that this range of R-2 values depended on parameters and conditions. The PLSR models based on the full spectrum accurately and robustly predicted three of four parameters across all conditions. Based on the combination of PLSR-VIP and MLR analysis, the wavelengths selected within the visible (VIS), red-edge, and middle near-infrared (NIR) wavebands were the most sensitive to all parameters in all conditions, whereas those selected within the shortwave infrared (SWIR) waveband were effective for some parameters in particular conditions. Overall, these results indicated that the PLSR analysis and band selection techniques can offer a rapid and nondestructive alternative approach to accurately estimate growth- and photosynthetic-related trait responses to salinity stress.
类型	Article
语种	英语
国家	Saudi Arabia ; Egypt ; Germany
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000495611100065
WOS关键词	SPECTRAL INDEXES ; NITROGEN-CONTENT ; SALT TOLERANCE ; GAS-EXCHANGE ; WATER STATUS ; GRAIN-YIELD ; LEAF ; CANOPY ; REGRESSION ; SELECTION
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
EI主题词	2019-11-11
来源机构	King Saud University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310821
作者单位	1.King Saud Univ, Coll Food & Agr Sci, Dept Plant Prod, POB 2460, Riyadh 11451, Saudi Arabia; 2.Suez Canal Univ, Fac Agr, Dept Agron, Ismailia 41522, Egypt; 3.Suez Canal Univ, Fac Agr, Dept Agr Bot, Ismailia 41522, Egypt; 4.Shaqra Univ, Coll Sci & Humanities Quwayiah, Dept Biol, Riyadh 11961, Saudi Arabia; 5.Univ Sadat City, Environm Studies & Res Inst, Evaluat Nat Resources Dept, Menoufia 32897, Egypt; 6.Suez Canal Univ, Dept Soil & Water, Fac Agr, Ismailia 41522, Egypt; 7.Tech Univ Munich, Dept Plant Sci, Chair Plant Nutr, Freising Weihenstephan, Germany
推荐引用方式 GB/T 7714	El-Hendawy, Salah,Al-Suhaibani, Nasser,Alotaibi, Majed,et al. Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis[J]. King Saud University,2019,9.
APA	El-Hendawy, Salah.,Al-Suhaibani, Nasser.,Alotaibi, Majed.,Hassan, Wael.,Elsayed, Salah.,...&Schmidhalter, Urs.(2019).Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis.SCIENTIFIC REPORTS,9.
MLA	El-Hendawy, Salah,et al."Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis".SCIENTIFIC REPORTS 9(2019).