Abstract
In general, the quality of fruits depends on local conditions experienced by the fruit during its development. In cotton, fruit quality, and more specifically the quality of the fibre in the fruit, depends on interactions between fruit position in the plant architecture, temperature and agronomic practices, such as sowing time, mulching with plastic film and topping of the plant's main stem and branches. To quantify this response of cotton fibre quality to environment and management, we developed a simulation model of cotton growth and development, CottonXL. Simulation of cotton fibre quality (strength, length and micronaire) was implemented at the level of each individual fruit, in relation to thermal time (represented by physiological age of the fruit) and prevailing temperature during development of each fruit. Field experiments were conducted in China in 2007 to determine model parameters, and independent data on cotton fibre quality in three cotton producing regions in China were used for model validation. Simulated values for fibre quality closely corresponded to experimental data. Scenario studies simulating a range of management practices predicted that delaying topping times can significantly decrease fibre quality, while sowing date and film mulching had no significant effect. We conclude that CottonXL may be used to explore options for optimizing cotton fibre quality by matching cotton management to the environment, taking into account responses at the level of individual fruits. The model may be used at plant, crop and regional levels to address climate and land-use change scenarios.
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Claims 6
Claim · model-written summary
Simulated cotton fibre quality closely matched independent experimental observations.
- Taxon
- cotton
Gossypium hirsutumt0 - Outcome
- fibre qualitye0
- Comparator
- experimental datae0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Simulated values for fibre quality closely corresponded to experimental data”
t0“cotton”
Claim · model-written summary
Model scenarios predicted significantly decreased fibre quality with delayed topping.
- Taxon
- cottonGossypium hirsutumt0
- Treatment
- delaying topping timese0
- Outcome
- fibre qualitye0
- Direction
- decreasee0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“delaying topping times can significantly decrease fibre quality”
t0“cotton”
Claim · model-written summary
Simulated sowing date changes had no significant effect on fibre quality.
- Taxon
- cottonGossypium hirsutumt0
- Treatment
- sowing datee0
- Outcome
- fibre qualitye1
- Direction
- no significant effecte0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sowing date and film mulching had no significant effect”
e1“decrease fibre quality”
t0“cotton”
Claim · model-written summary
Simulated film mulching had no significant effect on fibre quality.
- Taxon
- cottonGossypium hirsutumt0
- Treatment
- film mulchinge0
- Outcome
- fibre qualitye1
- Direction
- no significant effecte0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sowing date and film mulching had no significant effect”
e1“decrease fibre quality”
t0“cotton”
Claim · model-written summary
The authors conclude CottonXL can guide cotton management to optimize fibre quality for the environment.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- optimizing cotton fibre quality by matching cotton management to the environmente0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“CottonXL may be used to explore options for optimizing cotton fibre quality by matching cotton management to the environment”
t0“cotton”
Claim · model-written summary
The model may be applied at plant, crop and regional levels to climate and land-use scenarios.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- address climate and land-use change scenariose0
- Comparator
- plant, crop and regional levelse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The model may be used at plant, crop and regional levels to address climate and land-use change scenarios”
t0“cotton”
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