The Cotton Simulation Model "COTTAM":Fruiting Model Calibration and Testing
Abstract
ABSTRACT ALGORITHMS contained in the simulation model COTTAM for determining the morphological development of cotton in response to environment are described. Crop growth rate is represented by a number of growing bolls called carrying capacity, and fruit shedding occurs as a function of the ratio of boll load and carrying capacity. Vegetative growth is defined as the increase in fruiting site numbers. Leaf area increases as fruiting site numbers increase. As boll load increases, vegetative growth (increase in fruiting site numbers) declines and fruit shedding increases. A root extraction zone penetrates a layered soil profile as a function of soil properties. Water stress is defined as a function of plant available water in the root extraction zone and influences vegetative growth rates and crop growth rates (carrying capacity). Fruiting algorithms were calibrated using field and greenhouse data. Numbers of fruiting sites, growing bolls, open bolls, square and boll phenological development, boll weights, leaf growth and senescence, growth of a root extraction zone, and water extraction are computed in response to daily weather data. Simulated plant development may also be influenced by plant maturity-type, plant population and row spacing, and water stress. Simulation results using COTTAM were compared to fruit numbers measured in field-grown cotton near Temple, TX, Lubbock, TX and Fresno, CA. Crops were grown at these three locations using different water application scenarios. Measured lint yields ranged from 528 to 1,583 kg ha~^ Analyses compared the timing of yield development, fruit numbers, and final yields. Simulated timing and maximum numbers of squares, growing bolls, and open bolls compared well with those measured at all three locations. At all locations, the simulated date 50% of final boll numbers were open averaged within 3 days of those measured. The standard error of estimate for simulated lint yields at all three locations was 135 kg ha~^
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Approaches for simulating the development of cotton fruits, including squares, bolls, seed, and fiber, were investigated later.
“Approaches for simulating the development of cotton fruits, including squares, bolls, seed, and fiber, were investigated later (Jackson et al., 1988; Wanjura and Newton, 1981).”
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 Jackson et al., 1988
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 · see citing works
HydroLOGIC: An irrigation management system for Australian cotton
Richards, Q. D., Bange, M. P., & Johnston, S. B. (2008) · Agricultural Systems · doi:10.1016/j.agsy.2008.03.009 · Cited by 49 · see citing works
- Authors
- Jackson, B. S., Arkin, G. F., & Hearn, A. B.
- ORCID
- B. S. Jackson
- Venue
- Transactions of the ASAE
- Published
- 1988
- Volume
- 31
- Issue
- 3
- Pages
- 0846-0854
- ISSN
- 0001-2351 (ISSN-L)
- 2151-0059
- OpenAlex
- W2314145379
- Cited by
- 33
- References
- 0
- Citations by year
- 2025: 1 · 2023: 2 · 2021: 1 · 2020: 1 · 2017: 1 · 2015: 1 · 2014: 4 · 2013: 1 · 2012: 1
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transactions of the ASAE (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Research in Cotton Cultivation
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Agriculture, Soil, Plant Science
- Keywords
- cotton, crop simulation models, boll shedding, carrying capacity, water stress, plant available water, leaf area, lint yield, model validation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review