4.6 Article

Time-Series Monitoring of Transgenic Maize Seedlings Phenotyping Exhibiting Glyphosate Tolerance

Journal

PROCESSES
Volume 10, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/pr10112206

Keywords

glyphosate tolerance; hyperspectral image; JIP-test; leaf chlorophyll content; photosynthetic activity

Funding

  1. Key Projects of International Scientific and Technological Innovation Cooperation among Governments under National Key RD plan [2019YFE0103800]
  2. Fundamental Research Funds for the Central Universities [K20210123]
  3. State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agroproducts [2022KF03]

Ask authors/readers for more resources

In this study, a robust leaf chlorophyll content prediction model was developed using hyperspectral imaging and chemometrics methods to analyze the response of chlorophyll content to glyphosate stress. The study found that glyphosate-sensitive plants exhibited significant changes in leaf reflection and photosynthetic activity six days after glyphosate treatment, while glyphosate-resistant plants were able to maintain normal photosynthetic physiological activity.
Glyphosate is a widely used nonselective herbicide. Probing the glyphosate tolerance mechanism is necessary for the screening and development of resistant cultivars. In this study, a hyperspectral image was used to develop a more robust leaf chlorophyll content (LCC) prediction model based on different datasets to finally analyze the response of LCC to glyphosate-stress. Chlorophyll a fluorescence (ChlF) was used to dynamically monitor the photosynthetic physiological response of transgenic glyphosate-resistant and wild glyphosate-sensitive maize seedlings and applying chemometrics methods to extract time-series features to screen resistant cultivars. Six days after glyphosate treatment, glyphosate-sensitive seedlings exhibited significant changes in leaf reflection and photosynthetic activity. By updating source domain and transfer component analysis, LCC prediction model performance was improved effectively (the coefficient of determination value increased from 0.65 to 0.84). Based on the predicted LCC and ChlF data, glyphosate-sensitive plants are too fragile to protect themselves from glyphosate stress, while glyphosate-resistant plants were able to maintain normal photosynthetic physiological activity. JIP-test parameters, phi(E0), V-J, psi(E0), and M-0, were used to indicate the degree of plant damage caused by glyphosate. This study constructed a transferable model for LCC monitoring to finally evaluate glyphosate tolerance in a time-series manner and verified the feasibility of ChlF in screening glyphosate-resistant cultivars.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available