the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Developing an eco-physiological process-based model of soybean growth and yield (MATCRO-Soy v.1): Model calibration and evaluation
Abstract. MATCRO-Soy is an eco-physiological process-based crop model for soybean (Glycine max L. (Merr.)). It was developed by modifying the parameters of MATCRO-Rice. The original model, MATCRO-Rice, integrates crop growth processes with a land surface model. These modifications were made using data from literature and field experiments across the world. The reliability of the model was validated extensively by observed soybean yield data across the global, national, and grid cell levels. A moderate correlation was observed between the MATCRO-Soy and FAOSTAT yield data with correlation coefficients of 0.81 (p < 0.001) for the global average yield and 0.512 (p < 0.01) for the global average detrended yield over a 34-year period (1981–2014). Furthermore, the grid-cell level validation revealed that 71 % of the grid cells in the global yield map exhibited a statistically significant correlation between the MATCRO-Soy simulated yield and the derived from observational records. These results highlight the model’s ability to reproduce soybean yield under different environmental conditions, integrating soil water availability and nitrogen fertilizer. MATCRO-soy could enhance our understanding of crop physiology, especially, crop response to climate change and reduce uncertainty in climate change impacts on soybeans.
- Preprint
(1979 KB) - Metadata XML
-
Supplement
(924 KB) - BibTeX
- EndNote
Status: final response (author comments only)
-
RC1: 'Comment on egusphere-2025-453', Anonymous Referee #1, 12 May 2025
The revised paper has been well organised. I support to answer the following three questions before publishing.
- Line 85. Why the model only considers the NPP? It should be the GPP first, then the respiration, then the NPP.
- Line 285 Please add other human management information, like the planting day and density.
- Line 295 Why don’t compare the yield in the site scale.
Citation: https://doi.org/10.5194/egusphere-2025-453-RC1 -
AC1: 'Reply on RC1', Astrid Yusara, 14 May 2025
Dear RC1,
Thank you very much for pointing out them which is really important.- Line 85. The model also consider the GPP and respiration. In the paragraph I talked directly about net primary product, as the photosynthesis model following the concept of de Pury and Farquhar already includes the GPP and Respiration in the calculation. I will revise the more clear context for my sentences in Line 85 as follow: “The photosynthesis module includes the absorbed photosynthetically active radiation (PAR) in the leaf canopy following the concept of de Pury and Farquhar (1997). It considers the electron-transport limited rate of photosynthesis, Rubisco-limited photosynthesis, leaf respiration to estimate the net primary product (NPP) in the leaf-level”.
- Line 285. I understand, I will put information in the paragraph body or Table 3.
- Line 295. We compare the yield in the site-scale to confirm before running them in global which I put in line 300 (Supplementary Figure S2). In line 300, I didn’t talk about the comparison clearly as I don’t want to jump to yield evaluation from biomass partitioning description. So I will add this sentence to line 320: “We confirmed the yield in the site scale after removing the calibration data using this biomass partitioning has correlation about 68% and significancy (p value < 0.001). This agreement is also applied for the aboveground biomass weight, pod weight, and leaf area index (Supplementary Figure S2).
Please let me know if I misunderstood your comment.
Best wishes!Citation: https://doi.org/10.5194/egusphere-2025-453-AC1
-
RC2: 'Comment on egusphere-2025-453', Anonymous Referee #2, 02 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-453/egusphere-2025-453-RC2-supplement.pdf
Model code and software
An eco-physiological process-based model for soy yield (MATCRO-Soy v.1) Astrid Yusara and Yuji Masutomi https://zenodo.org/records/14881385
Viewed
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
166 | 76 | 10 | 252 | 21 | 10 | 11 |
- HTML: 166
- PDF: 76
- XML: 10
- Total: 252
- Supplement: 21
- BibTeX: 10
- EndNote: 11
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1