Predicting the effects of environment and management on cotton fibre growth and quality: a functional–structural plant modelling approach

X. Wang, L. Zhang, J.B. Evers, L. Mao, S. Wei, X. Pan, X. Zhao, W. van der Werf, Z. Li

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

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.
LanguageEnglish
Article numberplu040
Number of pages16
JournalAoB Plants
Volume6
DOIs
Publication statusPublished - 2014

Fingerprint

fiber quality
lint cotton
topping (pruning)
fruits
cotton
mulching
sowing date
fruit quality
micronaire
plastic film
China
range management
model validation
plant architecture
plant cultural practices
films (materials)
branches
land use change
fruiting
simulation models

Keywords

  • lint yield
  • gossypium-hirsutum
  • simulation-model
  • mepiquat chloride
  • temperature
  • date
  • boll
  • nitrogen
  • performance
  • elongation

Cite this

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title = "Predicting the effects of environment and management on cotton fibre growth and quality: a functional–structural plant modelling approach",
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.",
keywords = "lint yield, gossypium-hirsutum, simulation-model, mepiquat chloride, temperature, date, boll, nitrogen, performance, elongation",
author = "X. Wang and L. Zhang and J.B. Evers and L. Mao and S. Wei and X. Pan and X. Zhao and {van der Werf}, W. and Z. Li",
year = "2014",
doi = "10.1093/aobpla/plu040",
language = "English",
volume = "6",
journal = "AoB Plants",
issn = "2041-2851",
publisher = "Oxford University Press",

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Predicting the effects of environment and management on cotton fibre growth and quality: a functional–structural plant modelling approach. / Wang, X.; Zhang, L.; Evers, J.B.; Mao, L.; Wei, S.; Pan, X.; Zhao, X.; van der Werf, W.; Li, Z.

In: AoB Plants, Vol. 6, plu040, 2014.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Predicting the effects of environment and management on cotton fibre growth and quality: a functional–structural plant modelling approach

AU - Wang, X.

AU - Zhang, L.

AU - Evers, J.B.

AU - Mao, L.

AU - Wei, S.

AU - Pan, X.

AU - Zhao, X.

AU - van der Werf, W.

AU - Li, Z.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - lint yield

KW - gossypium-hirsutum

KW - simulation-model

KW - mepiquat chloride

KW - temperature

KW - date

KW - boll

KW - nitrogen

KW - performance

KW - elongation

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