Literature DB >> 27524726

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance.

Oksana Sytar1, Marian Brestic2, Marek Zivcak3, Katarina Olsovska3, Marek Kovar3, Hongbo Shao4, Xiaolan He5.   

Abstract

Salinity represents an abiotic stress constraint affecting growth and productivity of plants in many regions of the world. One of the possible solutions is to improve the level of salt resistance using natural genetic variability within crop species. In the context of recent knowledge on salt stress effects and mechanisms of salt tolerance, this review present useful phenomic approach employing different non-invasive imaging systems for detection of quantitative and qualitative changes caused by salt stress at the plant and canopy level. The focus is put on hyperspectral imaging technique, which provides unique opportunities for fast and reliable estimate of numerous characteristics associated both with various structural, biochemical and physiological traits. The method also provides possibilities to combine plant and canopy analyses with a direct determination of salinity in soil. The future perspectives in salt stress applications as well as some limits of the method are also identified.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Crop improvement; Hyperspectral imaging; Imaging techniques; Phenotyping; Salt stress

Mesh:

Substances:

Year:  2016        PMID: 27524726     DOI: 10.1016/j.scitotenv.2016.08.014

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  17 in total

1.  Trends in hyperspectral imaging: from environmental and health sensing to structure-property and nano-bio interaction studies.

Authors:  Emille Martinazzo Rodrigues; Eva Hemmer
Journal:  Anal Bioanal Chem       Date:  2022-02-17       Impact factor: 4.142

2.  Application of Hyperspectral Imaging in the Assessment of Drought and Salt Stress in Magneto-Primed Triticale Seeds.

Authors:  Jose Alvarez; Elvira Martinez; Belén Diezma
Journal:  Plants (Basel)       Date:  2021-04-21

3.  Non-destructive Determination of Shikimic Acid Concentration in Transgenic Maize Exhibiting Glyphosate Tolerance Using Chlorophyll Fluorescence and Hyperspectral Imaging.

Authors:  Xuping Feng; Chenliang Yu; Yue Chen; Jiyun Peng; Lanhan Ye; Tingting Shen; Haiyong Wen; Yong He
Journal:  Front Plant Sci       Date:  2018-04-09       Impact factor: 5.753

4.  Improving High-Throughput Phenotyping Using Fusion of Close-Range Hyperspectral Camera and Low-Cost Depth Sensor.

Authors:  Peikui Huang; Xiwen Luo; Jian Jin; Liangju Wang; Libo Zhang; Jie Liu; Zhigang Zhang
Journal:  Sensors (Basel)       Date:  2018-08-17       Impact factor: 3.576

5.  A Novel Approach to Assess Salt Stress Tolerance in Wheat Using Hyperspectral Imaging.

Authors:  Ali Moghimi; Ce Yang; Marisa E Miller; Shahryar F Kianian; Peter M Marchetto
Journal:  Front Plant Sci       Date:  2018-08-24       Impact factor: 5.753

Review 6.  Salt stress under the scalpel - dissecting the genetics of salt tolerance.

Authors:  Mitchell J L Morton; Mariam Awlia; Nadia Al-Tamimi; Stephanie Saade; Yveline Pailles; Sónia Negrão; Mark Tester
Journal:  Plant J       Date:  2019-01       Impact factor: 6.417

7.  Fast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System.

Authors:  Yangyang Fan; Tao Wang; Zhengjun Qiu; Jiyu Peng; Chu Zhang; Yong He
Journal:  Sensors (Basel)       Date:  2017-10-27       Impact factor: 3.576

8.  Assessment of plant species diversity based on hyperspectral indices at a fine scale.

Authors:  Yu Peng; Min Fan; Jingyi Song; Tiantian Cui; Rui Li
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

9.  High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response.

Authors:  Bikram P Banerjee; Sameer Joshi; Emily Thoday-Kennedy; Raj K Pasam; Josquin Tibbits; Matthew Hayden; German Spangenberg; Surya Kant
Journal:  J Exp Bot       Date:  2020-07-25       Impact factor: 6.992

10.  Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies.

Authors:  Xu Wang; Daljit Singh; Sandeep Marla; Geoffrey Morris; Jesse Poland
Journal:  Plant Methods       Date:  2018-07-04       Impact factor: 4.993

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