Downloads

This website shows datasets and models developed by scientists working at CSA. Click on the model to be linked to the website where the models can be downloaded. A short description of the model is added and the main contact person.

Simple rice heat sterility model

Description

A simple model for simulating heat induced sterility in rice as a function of flowering time and transpirational cooling.

This model has been published as:

Van Oort, P.A.J., Saito, K., Zwart, S.J., Shrestha, S., 2014. A simple model for simulating heat induced sterility in rice as a function of flowering time and transpirational cooling. Field Crops Research 156(1): 303-312. http://dx.doi.org/10.1016/j.fcr.2013.11.007

Contact

Pepijn van Oort, pepijn.vanoort@wur.nl

Download

You can download the model here

ORYZA2000 with improved heat and cold sterility modelling

Description

The ORYZA2000 model is fully documented in a book and website, see the references below

Bouman BAM, Kropff MJ, Tuong TP, Wopereis MCS, ten Berge HFM, van Laar HH. 2001. ORYZA2000: modeling lowland rice. Los Baños (Philippines): International Rice Research Institute, and Wageningen: Wageningen University and Research Centre. 235 p.

https://sites.google.com/a/irri.org/oryza2000/home

Since the publication of this book a number of updates have been made. The last major update of open source code is version 2 number 13 (v2n13). Since then there have been at least four major developments:

  1. Version ORYZA2000v3 with many improvements has been released and can be downloaded from abovementioned IRRI website. Contact Tao Li
  2. The physiology part of ORYZA2000 has been integrated in APSIM (ORYZA2000 crop growing on an APSIM soil). Contact Don Gaydon
  3. An improved rice phenology calibration program was developed and published (see http://models.pps.wur.nl/content/phenooptrice-rice-phenology-calibration...). Contact Pepijn van Oort
  4. New heat and cold sterility subroutines were developed, incorporated into version v2n13, resulting in a family of model subversion v2n13s1 to v2n13s26. The scientific paper is currently in review for the journal PLOSONE. Contact Pepijn van Oort

Contact

Pepijn van Oort, pepijn.vanoort@wur.nl

Download

You can download the model here

Pheno_opt_rice a rice phenology calibration program

Description

pheno_opt_rice is a program that calibrates phenology parameters. pheno_opt_rice has been designed for rice, but can be adapted for calibrating phenology of other crops.

Unique features of the model are that:

  1. All phenological parameters are calibrated simultaneously (base temperature, optimum temperature, temperature sum). Etc This new, many of the older calibration programs assume fixed base temperature and optimum temperature etc and then calibrate the temperature sum only
  2. It can do the calibration for multiple sites in one go, but only one variety at a time
  3. It quantifies if there is correlation between phenology prediction error and temperature. So it will tell you if the model is also accurate at higher temperatures and lower temperatures and up to what temperature range the calibration is valid
  4. It also shows near optimal solutions, this provides info on accuracy of parameter estimates
  5. All code is open and scientific background is in a published paper

Pheno_opt_rice was developed by Tianyi Zhang and Pepijn van Oort, with equal contribution from us both. It was a lot of work for the both of us. Please, when you use the calibration program please acknowledge our work by citing our work:

van Oort, P.A.J., Zhang, T., de Vries, M.E., Heinemann, A.B., Meinke, H. 2011. Correlation between temperature and phenology prediction error in rice (Oryza sativa L.). Agricultural and Forest Meteorology 151(12): 1545-1555. http://dx.doi.org/10.1016/j.agrformet.2011.06.012

Zhang, T., Zhu, J., Yang, X., 2008. Non-stationary thermal time accumulation reduces the predictability of climate change effects on agriculture. Agricultural and Forest Meteorology 148 (10), 1412–1418. http://dx.doi.org/10.1016/j.agrformet.2008.04.007

Contact

Pepijn van Oort, pepijn.vanoort@wur.nl

Download

You can download the program here

Historical yield data from the Netherlands

Description

These were collected in the AgriAdapt project by Pepijn van Oort and Bart Timmermans. They were used in a paper on identification of key weather extremes in potato production in the Netherlands:

van Oort, P.A.J., Timmermans, B.G.H., Meinke, H., Van Ittersum, M.K., 2012. Key weather extremes affecting potato production in the Netherlands. European Journal of Agronomy 37(1): 11-22. http://dx.doi.org/10.1016/j.eja.2011.09.002

The dataset contains:

  • Historical Yield data (starting 1959) on the following crops: aardappelen, haver, korrelmais, rogge, schorseneren, snijmais, stamslabonen, suikerbieten, tuinbonen, uien, veldbonen, waspeen, wintergerst, wintertarwe, zomergerst, zomertarwe
  • Most data on aardappelen, suikerbieten, wintertarwe
  • Distinction pootaardappelen & consumptie aardappelen, suikerbieten & voederbieten
  • CBS data (Central Bureau of Statistics) 1994-2008

Contact

Pepijn van Oort, pepijn.vanoort@wur.nl

Download

You can download the data here

Freeware fortran compiler

Description

The gfortran compiler is a freeware opensource compiler. It is used as part of the FST program but can also be used stand-alone to compile fortran programs. For example the ORYZA2000 model and the pheno_opt_rice phenologycalibration program.

The zipfile tells you where to download the latest fortran compilers, how to change the necessary settings in your computer, and how to compile programs, either from the DOS prompt or with a batch files. It contains some example fortran programs and batch files.

Contact

Pepijn van Oort, pepijn.vanoort@wur.nl

Download

You can download the gfortran compiler here

GECROS

Description

GECROS (Genotype-by-Environment interaction on CROp growth Simulator) is a generic process-based crop growth model. The model uses robust yet simple algorithms to summarize the current knowledge of individual physiological processes and their interactions and feedback mechanisms. It was structured from the basics of whole-crop systems dynamics to embody the physiological causes rather than descriptive algorithms of the emergent consequences.

It also attempts to model each process at a consistent level of detail, so that no area is overemphasized and similarly no area is treated in a trivial manner. Main attention has been paid to interactive aspects in crop growth such as photosynthesis-transpiration coupling via stomatal conductance, carbon-nitrogen interaction on leaf area index, functional balance between shoot and root activities, and interplay between source supply and sink demand on reserve formation and remobilization. GECROS combines robust model algorithm, high computational efficiency, and accurate model output with minimum number of input parameters that require periodical destructive sampling to estimate.

Contact

Xinyou Yin, xinyou.yin@wur.nl

Download

You can download the model here



Disclaimer

Although the greatest possible care has been exercised in the construction of the models and the supportive information, the possibility exists that certain information in time is outdated, incomplete or no longer correct. CSA does not guarantee the topicality, correctness and completeness of the models and the supportive information and is on no account liable for any direct or indirect damage which arises from the use of the models. CSA can change the contents of the models without prior notice.