Modelling nitrogen translocation to grain under elevated carbon dioxide in wheat

• Grain N yield response to CO2 was 33 % under water stress, low (1 %) under low N-supply. • Results show decline in grain N concentration under eCO2 despite increased N supply. • Models’ accuracy was similar to the experimental error for harvest grain N yield. • Models did not predict well observed post-anthesis decline in grain N concentration. • Models need better post-anthesis dynamics to capture the flux of N into grain. Rising atmospheric CO2 concentration tends to increase grain yields and decreases grain N concentration in cereal crops, reducing nutritional content. The robustness of APSIM-Wheat, DSSAT-Nwheat and OLEARY-CONNOR models were tested for their performance in predicting grain N yield and grain N concentration under elevated CO2 (eCO2) across two environments with varied environmental stresses including temperature, in-season water, and N supply. Observed grain N yield response to eCO2 was 33 % increase under water stressed conditions but low (1 %) under low N-supply conditions. Models’ responses to eCO2 were similar and close to the experimental error for harvest grain N yield and N concentration, but with large error in stressed environments. The biomass N concentration by anthesis and grain N concentration during post anthesis were not well simulated by the models in all conditions. While each model showed some advantage in some treatments, all models need better post-anthesis N dynamics to capture the flux of N into grain. The models would benefit from improvements in the following: potential excess soil N availability, initial and early flux of N to grain, heat and water stress interactions with eCO2, soil N dynamics in wet conditions. Specifically, for APSIM-Wheat mechanisms that increase grain N concentration decline post anthesis, for DSSAT-Nwheat mechanisms that decrease grain N concentration decline early after anthesis and for OLEARY-CONNOR model reinstating the original multilayer soil profile for both water and N balances. All these results point to the need for a specialised modelling framework for cereal nitrogen dynamics after anthesis.

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Publication Details

Journal
Next research.
Published
2025-04-01
DOI
https://doi.org/10.1016/j.nexres.2025.100307
Primary Topic
Plant responses to elevated CO2
Type
article
Field-Weighted Citation Impact
0.00

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article

Modelling nitrogen translocation to grain under elevated carbon dioxide in wheat

Cassandra Kiely Walker, Senthold Asseng, Faith Githui, Thabo Thayalakumaran et al.
Next research.
Plant responses to elevated CO2
article

Modelling nitrogen translocation to grain under elevated carbon dioxide in wheat

Cassandra Kiely Walker, Senthold Asseng, Faith Githui, Thabo Thayalakumaran, James G. Nuttall, Garry J. O’Leary, Kirsten Barlow, Glenn J. Fitzgerald
article en

Abstract

• Grain N yield response to CO2 was 33 % under water stress, low (1 %) under low N-supply. • Results show decline in grain N concentration under eCO2 despite increased N supply. • Models’ accuracy was similar to the experimental error for harvest grain N yield. • Models did not predict well observed post-anthesis decline in grain N concentration. • Models need better post-anthesis dynamics to capture the flux of N into grain. Rising atmospheric CO2 concentration tends to increase grain yields and decreases grain N concentration in cereal crops, reducing nutritional content. The robustness of APSIM-Wheat, DSSAT-Nwheat and OLEARY-CONNOR models were tested for their performance in predicting grain N yield and grain N concentration under elevated CO2 (eCO2) across two environments with varied environmental stresses including temperature, in-season water, and N supply. Observed grain N yield response to eCO2 was 33 % increase under water stressed conditions but low (1 %) under low N-supply conditions. Models’ responses to eCO2 were similar and close to the experimental error for harvest grain N yield and N concentration, but with large error in stressed environments. The biomass N concentration by anthesis and grain N concentration during post anthesis were not well simulated by the models in all conditions. While each model showed some advantage in some treatments, all models need better post-anthesis N dynamics to capture the flux of N into grain. The models would benefit from improvements in the following: potential excess soil N availability, initial and early flux of N to grain, heat and water stress interactions with eCO2, soil N dynamics in wet conditions. Specifically, for APSIM-Wheat mechanisms that increase grain N concentration decline post anthesis, for DSSAT-Nwheat mechanisms that decrease grain N concentration decline early after anthesis and for OLEARY-CONNOR model reinstating the original multilayer soil profile for both water and N balances. All these results point to the need for a specialised modelling framework for cereal nitrogen dynamics after anthesis.

Next research.Vol. 2(2)
Grains Research and Development Corporation, University of Melbourne, Department of Agriculture, Australian Government
Zero hunger
Openalex Percentile: Top 96%
Plant responses to elevated CO2
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