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Welcome to Temperature Response Functions#

This is a small but powerful package for estimating wheat yield under non-stressed and VPD stressed conditions as a function of temperature. Different temperature response functions could predict wheat yield across various locations. The suggested yield algorithm based on different temperature functions could predict wheat yield with high accuracy across various locations around the world.

We analyse how different temperature functions and VPD thresholds affects non-water stress wheat yield across the International Wheat Improvement Network (IWIN) sites and the other locations across the globe. The code generated using python and R programming languages during the project is published in this repository.

Authors:

Azam Lashkari (azam.lashkari@jic.ac.uk)
Urs Christoph Schulthess (U.Schulthess@cgiar.org)
Carlo Montes (c.montes@cgiar.org)
Ernesto Giron E. - (e.giron.e@gmail.com)

Reference:

Lashkari et al., 2023. Searching for optimal temperature response function for grain filling period to simulate wheat yield across the globe. In Press.

Quick start#

The package for estimating yield using temperature response functions can be installed with pip:

pip install tfunct

For detailed installation instructions visit installation

For detailed instructions of how-to get started, configuration options, and a demo, visit Getting Started

Acknowledgements#

Nieves Aparicio: Cereals Group, Section of Herbaceous, Agro-Technological Institute of Castile and León, Junta de Castile and León, Valladolid, Spain
José Luis Araus: Integrative Crop Ecophysiology Group, Section of Plant Physiology, Faculty of Biology, University of Barcelona, Barcelona, and AGROTECNIO-CERCA Center, Lleida, Spain
Mariano Cossani: South Australian Research and Development Institute
Francisco Pinto Espinosa: International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México 56237
Muhammad Adeel Hassan: Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
Margaret Kerause: Utah State University
Uttam Kumar: Borlaug Institute for South Asia, New Delhi, Delhi, India | International Maize and Wheat Improvement Centre, New Delhi, Delhi, India
Jesse Poland: Department of Plant Pathology, Kansas State University, Manhattan Kansas, USA | Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Matthew Reynolds: International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México 56237
Sara Sanjani: Seed and Plant Improvement Institute, Karaj, Iran
Kelly Robert Thorp: USDA Agricultural Research Service, U.S. Arid-Land Agricultural Research Center, Maricopa, Arizona
Haiyan Zhang: College of Agronomy, Henan Agricultural University, Zhengzhou, China

Feedback#

If you have any feedback, please reach out to us at Feedback

FAQ#

Please read out frequently asked questions before you send an email.

License#

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Additional License please check out License

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