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Simulation of the effect of pruning and topping on cotton growth using COTTON2K model
Abstract
COTTON2K, like most other cotton production models, does not always adequately represent local growth conditions owing to the fact that it fails to take into account some indigenous cultivation practices. For instance, pruning and topping, a common practice for cotton cultivation in China is not included in the model simulation of COTTON2K. The objective of this research therefore was to: (1) modify COTTON2K source code and slot pruning and topping simulation switch on to the model, and (2) calibrate and validate the modified COTTON2K model with field data from pruning and topping cultivation practice. First, field collected data in 2003 and 2004 were compared between the treatments, with and without pruning and topping, and the COTTON2K source code updated with the 'pruning and topping' switch. This was followed by the calibration and validation of the updated model with field data and simulation of the effect of pruning and topping on cotton performance. It was noted from field observations that pruning and topping reduced total fruit sites, but at the same time, increased retained boll number, possibly due to significant reductions in abscised fruit sites. Though total dry matter production dropped, more dry matter allocation to reproductive organs, however, enhanced higher cotton lint yield in the pruning and topping treatment. Results of the modified model simulation showed that growth in the number of main-stem node ceased after topping. Furthermore, there was more biomass allocation to reproductive organs, such as green and open bolls under pruning and topping. Coefficient of determination above 0.8 for most of the growth factors was obtained in the calibration and validation processes under pruning and topping, a strong indication of the level of success of the model modification.
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“The Cotton2K model has been directly and indirectly used and tested by many researchers.”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as Yang et al., 2008
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Cited by
Sorted by citations
Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., et al. (2014) · Journal of Cotton Science · doi:10.56454/oovc6073 · Cited by 96
Metadata
- Authors
- Yang, Y., Ouyang, Z., Yang, Y., & Liu, X.
- Affiliations
- Chinese Academy of Sciences (CN)
- Institute of Geographic Sciences and Natural Resources Research (CN)
- Corresponding author
- Ouyang, Zhu
- Venue
- Field Crops Research
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 106
- Issue
- 2
- Pages
- 126-137
- ISSN
- 0378-4290 (ISSN-L)
- OpenAlex
- W1984682353
- Cited by
- 37
- References
- 0
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 4 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 1 · 2015: 1 · 2014: 2 · 2012: 1
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Field Crops Research (publishedVersion)
- Institute of Geographic Sciences and Natural Resources Research, CAS Institutional Repository (submittedVersion)
- Funders
- Chinese Academy of Sciences
- Chinese Academy of Agricultural Sciences
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Research in Cotton Cultivation
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agriculture, Soil, Plant Science
- Keywords
- cotton, pruning, topping, crop growth simulation, model calibration and validation, boll number, biomass allocation, lint yield
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