Preprints
https://doi.org/10.5194/egusphere-2024-1311
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/egusphere-2024-1311
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 May 2024
| 14 May 2024
New ozone-nitrogen model shows early senescence onset is the primary cause of ozone-induced reduction in grain quality of wheat
Abstract. Ozone (O3) air pollution is well known to adversely affect both the grain and protein yield of wheat, an important staple crop. This study aims to identify and model the key plant processes influencing the effect of O3 on wheat protein. We modified the DO3SE-Crop model to incorporate nitrogen (N) processes, and parameterised the O3 effect on stem, leaf and grain N using O3 fumigation datasets spanning 3 years and 4 O3 treatments. Our results show the new model captures the O3 effect on grain N concentrations, and anthesis leaf and stem concentration, well. However, the O3 effect on harvest leaf and stem N is exaggerated. Further, a sensitivity analysis revealed that, irrespective of O3 treatment, accelerated senescence onset was the primary plant process affecting grain N. This modelling study therefore demonstrates the capability of the DO3SE-CropN model to simulate processes by which O3 affects N content, and thereby determines that senescence onset is the main driver of O3 reductions in grain protein yield. The implication of the sensitivity analysis is that breeders should focus their efforts on stay-green cultivars that do not experience a protein penalty when developing O3 tolerant lines, to maintain both wheat yield and nutritional quality under O3 exposure.
How to cite. Cook, J., Brewster, C., Hayes, F., Booth, N., Bland, S., Pande, P., Thankappan, S., Pleijel, H., and Emberson, L.: New ozone-nitrogen model shows early senescence onset is the primary cause of ozone-induced reduction in grain quality of wheat, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1311, 2024.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Journal article(s) based on this preprint
05 Nov 2024
New ozone–nitrogen model shows early senescence onset is the primary cause of ozone-induced reduction in grain quality of wheat
Jo Cook, Clare Brewster, Felicity Hayes, Nathan Booth, Sam Bland, Pritha Pande, Samarthia Thankappan, Håkan Pleijel, and Lisa Emberson
Biogeosciences, 21, 4809–4835, https://doi.org/10.5194/bg-21-4809-2024, https://doi.org/10.5194/bg-21-4809-2024, 2024
Short summary
Short summary
At ground level, the air pollutant ozone (O3) damages wheat yield and quality. We modified the DO3SE-Crop model to simulate O3 effects on wheat quality and identified onset of leaf death as the key process affecting wheat quality upon O3 exposure. This aligns with expectations, as the onset of leaf death aids nutrient transfer from leaves to grains. Breeders should prioritize wheat varieties resistant to protein loss from delayed leaf death, to maintain yield and quality under O3 exposure.
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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CC1: 'Comment on egusphere-2024-1311', Owen Cooper, 01 Jul 2024
My comments can be found in the attached pdf.
- AC1: 'Reply on CC1', Jo Cook, 16 Sep 2024
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RC1: 'Comment on egusphere-2024-1311', Stefano Galmarini, 17 Jul 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1311/egusphere-2024-1311-RC1-supplement.pdf
- AC2: 'Reply on RC1', Jo Cook, 16 Sep 2024
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RC2: 'Comment on egusphere-2024-1311', Anonymous Referee #2, 31 Jul 2024
Cook and others incorporate a new model meant to explicitly simulate the impact of ozone on plant nitrogen dynamics and apply it to wheat trials. The results are interesting with a nice and defensible finding that stay green varieties are likely to minimize ozone impacts, which tend to hasten senescence. The manuscript could benefit from a number of adjustments that would make it easier to read and more concise.The abstract was rather terse and did not enumerate particular findings, quantitatively, that make the study unique.Please edit the manuscript for flow and redundancies: note for example ‘Northern India’ is used twice in 28-29.The narrative is tied to the FAO’s sustainable development goals, but ozone impacts to wheat is important regardless and becomes a bit of a distraction because the purpose of the manuscript stands alone: the importance of ozone to wheat yield and productivity.Note usage errors like the rogue period on line 52.67: ‘possess the capacity to’ -> ‘can’. Emphasis on removing all unnecessary words and phrases will make the manuscript more succinct and impactful.Eq 1 and elsewhere: don’t use the star in formal mathematical equations for multiplication, it has too many meanings (https://en.wikipedia.org/wiki/Asterisk#Mathematics)Table 1: just note in the legend that the parameters are unitless. There are also probably too many significant digits given realistic uncertainties.What do the lightning bolts mean in figure 3?320: ’that they were varied’ -> ‘between which they were varied’?In Figure 4 and elsewhere, why do the ’simulated’ variables have no uncertainty estimates?345 and elsewhere: a time series figure of yield for different years could help the reader understand some of the variability involved.The Discussion makes some interesting points and is nice and upfront about the things that the model still struggles with. It could benefit from a bit more brevity if possible.I like the schematics, also in the appendix, that highlight what equations correspond to different processes.Citation: https://doi.org/
10.5194/egusphere-2024-1311-RC2 - AC3: 'Reply on RC2', Jo Cook, 16 Sep 2024
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
CC1: 'Comment on egusphere-2024-1311', Owen Cooper, 01 Jul 2024
My comments can be found in the attached pdf.
- AC1: 'Reply on CC1', Jo Cook, 16 Sep 2024
-
RC1: 'Comment on egusphere-2024-1311', Stefano Galmarini, 17 Jul 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1311/egusphere-2024-1311-RC1-supplement.pdf
- AC2: 'Reply on RC1', Jo Cook, 16 Sep 2024
-
RC2: 'Comment on egusphere-2024-1311', Anonymous Referee #2, 31 Jul 2024
Cook and others incorporate a new model meant to explicitly simulate the impact of ozone on plant nitrogen dynamics and apply it to wheat trials. The results are interesting with a nice and defensible finding that stay green varieties are likely to minimize ozone impacts, which tend to hasten senescence. The manuscript could benefit from a number of adjustments that would make it easier to read and more concise.The abstract was rather terse and did not enumerate particular findings, quantitatively, that make the study unique.Please edit the manuscript for flow and redundancies: note for example ‘Northern India’ is used twice in 28-29.The narrative is tied to the FAO’s sustainable development goals, but ozone impacts to wheat is important regardless and becomes a bit of a distraction because the purpose of the manuscript stands alone: the importance of ozone to wheat yield and productivity.Note usage errors like the rogue period on line 52.67: ‘possess the capacity to’ -> ‘can’. Emphasis on removing all unnecessary words and phrases will make the manuscript more succinct and impactful.Eq 1 and elsewhere: don’t use the star in formal mathematical equations for multiplication, it has too many meanings (https://en.wikipedia.org/wiki/Asterisk#Mathematics)Table 1: just note in the legend that the parameters are unitless. There are also probably too many significant digits given realistic uncertainties.What do the lightning bolts mean in figure 3?320: ’that they were varied’ -> ‘between which they were varied’?In Figure 4 and elsewhere, why do the ’simulated’ variables have no uncertainty estimates?345 and elsewhere: a time series figure of yield for different years could help the reader understand some of the variability involved.The Discussion makes some interesting points and is nice and upfront about the things that the model still struggles with. It could benefit from a bit more brevity if possible.I like the schematics, also in the appendix, that highlight what equations correspond to different processes.Citation: https://doi.org/
10.5194/egusphere-2024-1311-RC2 - AC3: 'Reply on RC2', Jo Cook, 16 Sep 2024
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (16 Sep 2024) by Paul Stoy
ED: Publish subject to minor revisions (review by editor) (16 Sep 2024) by Paul Stoy (Co-editor-in-chief)
AR by Jo Cook on behalf of the Authors (18 Sep 2024)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (18 Sep 2024) by Paul Stoy
ED: Publish as is (18 Sep 2024) by Paul Stoy (Co-editor-in-chief)
AR by Jo Cook on behalf of the Authors (19 Sep 2024)
Journal article(s) based on this preprint
05 Nov 2024
New ozone–nitrogen model shows early senescence onset is the primary cause of ozone-induced reduction in grain quality of wheat
Jo Cook, Clare Brewster, Felicity Hayes, Nathan Booth, Sam Bland, Pritha Pande, Samarthia Thankappan, Håkan Pleijel, and Lisa Emberson
Biogeosciences, 21, 4809–4835, https://doi.org/10.5194/bg-21-4809-2024, https://doi.org/10.5194/bg-21-4809-2024, 2024
Short summary
Short summary
At ground level, the air pollutant ozone (O3) damages wheat yield and quality. We modified the DO3SE-Crop model to simulate O3 effects on wheat quality and identified onset of leaf death as the key process affecting wheat quality upon O3 exposure. This aligns with expectations, as the onset of leaf death aids nutrient transfer from leaves to grains. Breeders should prioritize wheat varieties resistant to protein loss from delayed leaf death, to maintain yield and quality under O3 exposure.
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Environment & Geography Dept., University of York, YO10 5DD, UK
Clare Brewster
UK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, Wales, UK
Felicity Hayes
UK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, Wales, UK
Nathan Booth
Environment & Geography Dept., University of York, YO10 5DD, UK
Sam Bland
Stockholm Environment Institute at York, Environment & Geography Dept., University of York, YO10 5DD, UK
Pritha Pande
Stockholm Environment Institute at York, Environment & Geography Dept., University of York, YO10 5DD, UK
Samarthia Thankappan
Environment & Geography Dept., University of York, YO10 5DD, UK
Håkan Pleijel
Biological and Environmental Sciences Dept., University of Gothenburg, SE-40530, Sweden
Lisa Emberson
Environment & Geography Dept., University of York, YO10 5DD, UK
Download
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2035 KB) - Metadata XML
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(423 KB) - BibTeX
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- Final revised paper
Short summary
At ground-level, the air pollutant ozone (O3) damages wheat yield and quality. We modified the DO3SE-Crop model to simulate O3 effects on wheat quality and identified onset of leaf death as the key process affecting wheat quality upon O3 exposure. This aligns with expectations as the onset of leaf death aids nutrient transfer from leaves to grains. Breeders should prioritize wheat varieties resistant to protein loss from delayed leaf death, to maintain yield and quality under O3.
At ground-level, the air pollutant ozone (O3) damages wheat yield and quality. We modified the...