Hyperspectral reflectance sensing to assess the growth and photosynthetic properties of wheat cultivars exposed to different irrigation rates in an irrigated arid region-Reference-Cited by-同舟云学术

Hyperspectral reflectance sensing to assess the growth and photosynthetic properties of wheat cultivars exposed to different irrigation rates in an irrigated arid region

Published:2017-08-22 Issue:8 Volume:12 Page:e0183262
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

El-Hendawy Salah^ORCID,Al-Suhaibani Nasser,Hassan Wael,Tahir Mohammad,Schmidhalter Urs

Funder

King Saud University

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference66 articles.

1. Spectral assessment of drought tolerance indices and grain yield in advanced spring wheat lines grown under full and limited water irrigation;SE El-Hendawy;Agricultural Water Management,2017

2. Deficit irrigation for reducing agricultural water use;E Fereres;Journal of experimental botany,2007

3. Conventional and simplified canopy temperature indices predict water stress in sunflower;S Taghvaeian;Agricultural water management,2014

4. Drought Stress in Wheat during Flowering and Grain-filling Periods;M Farooq;Critical Reviews in Plant Sciences,2014

5. General mechanisms of drought response and their application in drought resistance improvement in plants;Y Fang;Cellular and molecular life sciences: CMLS,2015

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chickpea leaf water potential estimation from ground and VENµS satellite;Precision Agriculture;2024-03-02

2. Hyperspectral estimation of net photosynthetic rate of winter wheat under different water and nitrogen supplies;2024-03-01

3. Estimation model of potassium content in cotton leaves based on hyperspectral information of multileaf position;Journal of Integrative Agriculture;2024-03

4. A Remote Sensing Approach for Assessing Daily Cumulative Evapotranspiration Integral in Wheat Genotype Screening for Drought Adaptation;Plants;2023-11-16

5. Potential application of spectral indices for olive water status assessment in (semi‐)arid regions: A case study in Khuzestan Province, Iran;Plant Direct;2023-06