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Development and validation of SUCROS-Cotton: a potential crop growth simulation model for cotton
Open accessAbstract
A model for the development, growth and potential production of cotton (SUCROS-Cotton) was developed. Particular attention was given to the phenological development of the plant and the plasticity of fruit growth in response to temperature, radiation, daylength, variety traits, and management. The model is characterized by a comparatively simple code and transparent algorithms. The model was parameterized for Chinese cotton varieties and validated with extensive independent datasets on cotton growth and production from the Yellow River region and Xinjiang Province. The model validation showed that the phenology, growth and yield were simulated satisfactorily. The root mean square error (RMSE) for date of emergence, date of flowering, date of open boll stage and duration from sowing to boll opening was less than four calendar days, both for cotton grown in monoculture and cotton grown in a relay intercropping system with wheat. The RMSE of predicted total dry matter compared with observations was at most 6.6%, of lint yield 6.6%, and for number of harvestable bolls 10.0%. SUCROS-Cotton provides a tool to (1) assess production opportunities of cotton in various ecological zones in response to temperature, incoming radiation and management, (2) identify optimal cotton ideotypes for different agro-ecological conditions and for guiding breeding efforts, and (3) explore resource-use-efficient cropping systems, including intercropping options, and crop management practices such as plastic film mulching and sowing date.
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“A variety of generic cropping system models, with reduced complexity for simulating a variety of crop types, were also recently evaluated for cotton production (Farahani et al., 2009; Sommer et al., 2008; Zhang et al., 2008).”
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 Zhang et al., 2008
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Cited by
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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
- Zhang, L., Werf, W. V. D., Cao, W., Li, B., Pan, X., & Spiertz, J. H. J.
- Affiliations
- Cotton Research Institute (CN)
- Centre for Crop Systems Analysis, Wageningen University P.O. Box 430, NL-6700 AK Wageningen, The Netherlands
- Nanjing Agricultural University (CN)
- China Agricultural University (CN)
- Wageningen University & Research (NL)
- Venue
- NJAS: Wageningen Journal of Life Sciences
- Publisher
- Informa UK Limited
- Published
- 2008-10-01
- Volume
- 56
- Issue
- 1-2
- Pages
- 59-83
- ISSN
- 1573-5214 (ISSN-L)
- 2212-1307
- OpenAlex
- W2157764049
- Cited by
- 36
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 1 · 2022: 1 · 2021: 6 · 2020: 1 · 2018: 2 · 2017: 2 · 2016: 1 · 2015: 5 · 2014: 6 · 2013: 3 · 2012: 1
- FWCI
- 0.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- NJAS - Wageningen Journal of Life Sciences (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Chinese Academy of Sciences
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Research in Cotton Cultivation
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agricultural Productivity and Crop Improvement
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Keywords
- crop growth simulation, phenology, radiation effects, day length, cotton yield prediction, lint yield, plastic film mulching, sowing date, Xinjiang, Yellow River region
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