Scientia Agricultura Sinica ›› 2021, Vol. 54 ›› Issue (6): 1112-1126.doi: 10.3864/j.issn.0578-1752.2021.06.004


Advances in Cotton Growth and Development Modelling and Its Applications in China

TongYu HOU1(),TingLi HAO2,HaiJiang WANG1,Ze ZHANG1,Xin LÜ1()   

  1. 1Agricultural College of Shihezi University, Shihezi 832000, Xinjiang
    2Analysis and Testing Center of Shihezi University, Shihezi 832000, Xinjiang
  • Received:2020-06-19 Accepted:2020-11-25 Online:2021-03-16 Published:2021-03-25
  • Contact: Xin Lü;


Cotton is an important commodity crop, and its high-yield, high-quality and high-efficiency production have strategic significance for China. The cotton growth and development models (CGDM) simulate the dynamic interactions of physiological and structural processes with the environment, and predict the growth, yield and quality formation of cotton, to provide great assistance and convenience for the optimal decision of management practices. Based on the comprehensive introduction of technical principle, structural composition and functional characteristics of physiological model, structural model and functional-structural model of cotton, some further discussions were developed on the research and application of these models at domestic and abroad. Some further discussions were developed on the research and application of these models at domestic and abroad, particularly in the application of the CGDMs for the simulation of dynamic change of cotton growth and yield, for the optimization of irrigation, fertilization and pest management strategies, and for the regional-assessment of cotton production system in China. According to the actual situation of cotton production in China, combined with the development direction of agricultural informatization in our country, several suggestions were put forward for the research, development and application of cotton growth simulation model in terms of localization study, scale improvement and popularization demonstration, in order to further promote the modernization development of cotton industry in China.

Key words: cotton, growth and development, modelling, functional-structural, virtual

Table 1

Comparisons of four classical cotton growth and development models"

模型要素 Model components GOSSYM[5] Cotton2K[10] OZCOT[6] CSM-CROPGRO-Cotton[8]
Daily weather data, initial soil water and nitrogen content
Hourly weather data, initial soil water and nitrogen content
Daily weather data, initial soil water and nitrogen content
Daily weather data, initial soil water and nitrogen content
Genetic coefficients
Genetic coefficients
Genetic coefficients
Genetic coefficients
Management operations
Planting date, plant density, irrigation, fertilizer, growth regulators and defoliation
Planting date, plant density, drip irrigation, fertilizer, tillage, growth regulators and defoliation
Planting date, plant density, irrigation, fertilizer and defoliation
Planting date, plant density, irrigation, fertilizer, residue, tillage and defoliation
Develop based on daily thermal time and C:N ratio
Develop based on hourly thermal time and C:N ratio
Based on the empirical accumulating day degrees between sowing and the appearance of the first square
Develop based on physiological degree days
Dry matter accumulation and allocation
Canopy-level radiation
Canopy-level radiation
Canopy-level radiation
Leaf-level biochemistry
Uses an empirical function of respiration based on light, air temperature and biomass
Calculates growth and maintenance respiration and photorespiration
Uses empirical functions of respiration based on fruiting site count and air temperature
Calculates growth and maintenance respiration
Allocates carbon to individual growing organs based on the organ's contribution to the total demand
Allocates carbon to individual growing organs based on the organ's contribution to the total demand
Allocates carbon to cohort pools for developing bolls
Reproductive tissues have first priority, then allocates carbon to single pools for leaves, stems and roots
Organ growth
Potential growth with the stresses related to air temperature, water, C, and N
Potential growth with the stresses related to air temperature, water, C, and N
Potential growth with the stresses related to air temperature, water, C, and N
Potential growth with the stresses related to air temperature, water, C, and N
Shedding of buds and bolls
Physiological shedding based on the carbon and nitrogen stress, and the other shedding based on the insects or weather stresses
Physiological shedding based on the carbon and nitrogen stress, and the other shedding based on the insects or weather stress
Shedding based on the ratio of load to carrying capacity
Shedding occurs when dry matter allocation cannot meet the growth needs of reproductive organs
模型要素 Model components GOSSYM[5] Cotton2K[10] OZCOT[6] CSM-CROPGRO-Cotton[8]
Water Balance
2D RHIZOS model
2D RHIZOS model
Ritchie model
Ritchie model
Ritchie model
CIMIS Penman model
Ritchie model
Nitrogen Balance
2D RHIZOS model
对2D RHIZOS模型土壤氮素动态平衡模块进行了优化
Optimized 2D RHIZOS model
Dynamic nitrogen pools
Based on the soil carbon and nitrogen balance sub module
Yield, plant maps, WUE, NUE
Yield, plant maps, WUE, NUE
Yield, boll load, plant maps, WUE, NUE
Yield, biomass, boll load, plant maps, WUE, NUE
Mainly applied in the cotton belt of U.S.[1]
Mainly applied in arid and semi-arid environments such as Israel[10] and Xinjiang China[28]
Mainly applied in Australia [2]
Mainly appliied in in the southeastern U.S. [2,32]

Fig. 1

A brief history of cotton growth and development modelling"

Fig. 2

Schematic diagram of typical cotton production scenarios of drip irrigation under mulch in Xinjiang"

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