干旱区生态环境知识资源中心(Arid): Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates

Arid

DOI	10.1016/j.agwat.2019.03.006
	Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates
	El-Hendawy, Salah E.1,2; Al-Suhaibani, Nasser A.1; Elsayed, Salah 3; Hassan, Wael M.4,5; Dewir, Yaser Hassan 1,6; Refay, Yahya 1; Abdella, Kamel A.1
通讯作者	El-Hendawy, Salah E.
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2019
卷号	217 页码:356-373
英文摘要	Hyperspectral sensing technique can provide an exact and expeditious manner for effective management of deficit irrigation through assessment of changes in plant water status in a large scale and real-time. This hypothesis was tested in this study using the hyperspectral signatures of the canopy in the visible-(VIS), near-(NIR), and shortwave-infrared (SWIR) to estimate and predict the leaf water status, measured here in terms of leaf water potential (LWP), relative water content (RWC), and equivalent water thickness (EWT), and grain yield (GY) of wheat cultivars exposed to 1.00, 0.75, and 0.50 of the estimated evapotranspiration (ETc). Results showed that the three parameters of leaf water status exhibited strong correlations with GY under 0.75 (except LWP) and 0.50 ETc treatments. This indicates that these parameters can be used as early indicators for management of deficit irrigation. Based on the relationships between these four phenotypic parameters and original canopy spectral reflectance within 350-2500 nm, the sensitive spectral wavelengths that exhibited strong correlations with all parameters existed mainly within the NIR and SWIR regions, with peak-wavelengths around 351, 518, and 687 nm in the VIS, 762, 974, 1100, and 1240 nm in the NIR, and 1392, 1515, 1930, and 2273 nm in the SWIR regions. These peak-wavelengths were used to build new two- and three-band normalized spectral reflectance indices (NDSIs). The NDSIs that combine NIR and VIS, NIR and NIR, SWIR and NIR, and SWIR and SWIR wavelengths were more effective for tracking changes in leaf water status and GY than those that combine only VIS wavelengths. The high fit between the observed and predicted values for phenotypic parameters based on twelve newly developed and published NDSIs indicates that the most recently developed NDSI models were more precise and accurate, and thus could be used for monitoring the changes in leaf water status and wheat production caused by deficit irrigation. The performance of partial least square regression (PLSR) based on either eleven wavelengths or different NDSIs as a predictive approach was the same and sometimes better than the individual NDSIs for assessment of phenotypic parameters. The results of spectral reflectance data and PLSR tools can serve as rapid and non-destructive alternative approaches for monitoring the water status and wheat production, and can be used to develop certain spectral indices for management of deficit irrigation in arid regions.
英文关键词	Equivalent water thickness Estimated evapotranspiration Hyperspectral reflectance Leaf water potential Phenotyping Wavelength selection
类型	Article
语种	英语
国家	Saudi Arabia ; Egypt
收录类别	SCI-E
WOS记录号	WOS:000464296100032
WOS关键词	FUEL MOISTURE-CONTENT ; ASSESSING CANOPY PRI ; WINTER-WHEAT ; VEGETATION ; STRESS ; DISCRIMINATION ; PARAMETERS ; DROUGHT ; BIOMASS ; LEAVES
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
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/2XILL650/214018
作者单位	1.King Saud Univ, Coll Food & Agr Sci, Dept Plant Prod, Riyadh 11451, Saudi Arabia; 2.Suez Canal Univ, Fac Agr, Dept Agron, Ismailia 41522, Egypt; 3.Sadat City Univ, Environm Studies & Res Inst, Evaluat Nat Resources Dept, Menoufia 32897, Egypt; 4.Suez Canal Univ, Fac Agr, Dept Agr Bot, Ismailia 41522, Egypt; 5.Shaqra Univ, Coll Sci & Humanities Quwayiah, Dept Biol, Shaqraa, Saudi Arabia; 6.Kafrelsheikh Univ, Fac Agr, Dept Hort, Kafr Al Sheikh 33516, Egypt
推荐引用方式 GB/T 7714	El-Hendawy, Salah E.,Al-Suhaibani, Nasser A.,Elsayed, Salah,et al. Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates[J]. King Saud University,2019,217:356-373.
APA	El-Hendawy, Salah E..,Al-Suhaibani, Nasser A..,Elsayed, Salah.,Hassan, Wael M..,Dewir, Yaser Hassan.,...&Abdella, Kamel A..(2019).Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates.AGRICULTURAL WATER MANAGEMENT,217,356-373.
MLA	El-Hendawy, Salah E.,et al."Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates".AGRICULTURAL WATER MANAGEMENT 217(2019):356-373.