SUCROS-Cotton is a crop growth simulation model developed to model the development, growth, and yield of cotton. It consists of modules for phenology, photosynthesis, morphogenesis, fruit formation and abscission, dry matter partitioning, and yield. The model simulates the effects of temperature, radiation, day length, variety traits, and management practices on cotton growth. It has been validated for monocropped cotton, relay-intercropped cotton-wheat systems, and the effect of plastic film mulch on various cotton growth outputs.

1. Simple and Universal Crop growth Simulator
(SUCROS)-cotton
MUTHUKUMAR M
2017601705

2. GENERAL
 Name:
SUCROS
 Program type:
Crop Growth or soil simulation model, optimization
model
 Available since:
December 31, 1991

3.  SUCROS (Goudriaan and van Laar, 1994 ; van Laar et al., 1997) was
developed as one of the models in the Wageningen school of crop
growth models.
The following newer models are “offspring” of the SUCROS model:
 ORYZA2000
 WOFOST (multiple crops)
 SUCROS-Cassava
 SUCROS-Chrysanthemum
 SUCROS-Cotton
 SUCROS-Cocoa, also known as "CAcao Simulation Engine (CASE)2
 SUCROS-Sugarbeet
 SUCROS-Wheat
 JULES-SUCROS
A brief history of SUCROS

4. Scale of application:
farm
Spatial resolution:
ha
Time horizon:
Growing season
Time step of modeling:
day
Key outputs:
crop growth, yield, soil water
fluxes
SPECIFICATIONS
Required to run:
FST, FORTRAN
Required to develop:
FST, FORTRAN
Software requirements

5.  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, day
length, variety traits, and management.
 Identify ideotypes that are well adapted to certain agro-ecological
conditions, to understand interactions between genotypes, environment and
management.
SUCROS- COTTON MODEL

6. Description of the model
1. SUCROS-Cotton simulates development and growth of cotton under the
influence of temperature and radiation.
2. It consists of modules for phenology, photosynthesis, morphogenesis, fruit
formation and abscission, dry matter partitioning, yield, and management
practices, and uses the physiological development time concept to model
development and calculate carbon allocation over plant organs.
3. Compared with SUCROS ,SUCROS-Cotton includes new algorithms for
quantifying effects of plastic film mulching, 'cut-off, and genetic traits, and
implements the boxcar train approach to simulate cotton fruit dynamics,
fruit abscission, single boll weight and yield.
4. SUCROS-Cotton includes the concept of an assimilate supply/demand ratio
to model fruit abscission and fruit filling.
5. SUCROS-Cotton is programmed in the Fortran-based simulation language
FST (Fortran Simulation Translator)

7. 1) Latitude and longitude
2) Daily weather data: minimum and maximum
temperature, incoming global radiation
3) Genetic parameters: earliness, maximum weight of
a single boll, first node on the main stem producing
a fruit bearing branch
4) Management parameters: plant density, date of cut-
out, film mulch and cultivation in monoculture or
in relay with wheat.
Inputs needed to run the model

8.  state variables:
1. physiological development time (r, days),
2. leaf area index (L; m 2 leaf area per m 2 surface area),
3. total biomass (B; g m-2),
4. Carbohydrate reserve pool, and the biomasses of leaves, stems,
fruits and roots.
 Development is computed on the basis of temperature, daylength and a
variety coefficient.
 Photosynthesis, dry matter partitioning, and LAI are calculated as in
SUCROS
 Potential fruit growth is simulated by calculating assimilate demand on the
basis of fruit age, measured in calendar days, and genetic traits.
 Lint yield is calculated from fruit mass, using allometric relationships.
Model structure

9. Model validation
1. Monocropped cotton
2. Relay-intercropped cotton-wheat systems
3. Effect of plastic film mulch
4. Validation of leaf area index
5. Validation of fruit growth and development
6. Validation of dry matter accumulation and yield

10.  L. Zhang et al (2008) ., Development and validation of SUCROS-
Cotton: a potential crop growth simulation model for cotton ,
NJAS 56-1/2
Reference