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Crop Modeling

Community of Practice

 

Welcome!

The Community of Practice on Crop Modeling (CoPCM) is part of the CGIAR Platform for Big Data in Agriculture and encompasses a wide range of quantitative applications, based around the broad concept of parametrizing interactions within and among the main drivers of cropping system.

The CM-CoP formed in 2017 and is led by Wheat Physiologist Matthew Reynolds at the International Maize and Wheat Improvement Center (CIMMYT) in El Batán, Mexico.

This space can be used as a discussion area, share and request relevant information and contribute towards building the community as a whole.

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Crop modeling science encompasses a wide range of quantitative applications based on the broad concept of parametrizing interactions within and among the main drivers of cropping systems.

These are namely: genotype, environment, management and socioeconomic factors (GEMS) to provide information and tools for decision support.

By promoting FAIR (Findable, Accessible, Interoperable, Reusable) data principles, the CM-CoP fosters a culture that values GEMS data and enables its members to solve global grand challenges faster, better and at greater scale.

The CM-CoP has a virtual meeting space where crop modeling enthusiasts and specialists from 15 CGIAR Centers and other industry organizations can share ideas and resources, find collaborators and co-authors and participate in relevant discussions.

Get in touch

CoP Lead

Matthew Reynolds | Email
International Maize and Wheat Improvement Center (CIMMYT)  Texcoco, México

CoP Coordinator

Anabel Molero Milan | Email
Consultant at International Maize and Wheat Improvement Center (CIMMYT)

Twitter | Email 

Community News

GARDIAN and facilitating data interoperability at CGIAR

GARDIAN and facilitating data interoperability at CGIAR

The CGIAR online search engine, GARDIAN, is easy to navigate and to perform simple queries to locate data and publications; ...
Cross-continental disease and crop modeling collaborations to beat back wheat blast

Cross-continental disease and crop modeling collaborations to beat back wheat blast

Cross-continental collaborations facilitated by the CGIAR Platform for Big Data in Agriculture thrive to beat back the threat of wheat ...
Here’s how to do bean breeding the climate-smart way

Here’s how to do bean breeding the climate-smart way

'We need to do ‘preemptive breeding’ if we want to sustain bean production under the more erratic climate of the ...
Data sharing is essential for Global Crop Improvement Network to address crop challenges

Data sharing is essential for Global Crop Improvement Network to address crop challenges

Standardizing data is central to the success of the Global Crop Improvement Network to improve global integration of crop research ...
Scientists harness genetics to develop more “solar”- and structurally-productive wheat

Scientists harness genetics to develop more “solar”- and structurally-productive wheat

Partners in the International Wheat Yield Partnership (IWYP) are finding evidence that increased photosynthesis, through high biomass, improvements in photosynthetic ...
Newly released database for 11 CGIAR mandated crops across 15 countries

Newly released database for 11 CGIAR mandated crops across 15 countries

The breeding and dissemination of improved crop varieties has been a central feature of CGIAR research since the earliest days ...

Collaborate

Working Groups

The Crop Modeling CoP hosts a series of different short-life working groups and projects where the real work of the community takes place.

Peer-review Group

The aim of this group is to increase visibility and accessibility of crop modeling research activities through the publication of peer-review papers of interest and highlighting the last crop modeling research outcomes of interest to the crop modeling community. This group is currently working in the elaboration of 4 reviews that will showcase on-going modeling activities and potential impacts from CGIAR and partners among the main drivers of cropping systems:

Breeding (G Group) | Environment (E Group) |Crop Management (M group) | Policy and Socio-Economic (S group)

Fundraising Group

In order to continue and extend the activities of the Crop Modeling CoP there is a need for increased and sustainable funding. This working group will be in charge of developing outreaching proposals for attracting funds for the CoP. This group will be constituted during 2018 and is open to dedicated contributors who have fundraising/campaign background and grant-writing skill and interest in crop modeling.

CMGap

The Crop Model CoP is in a unique position to convene a global consortium to address technology gaps that may otherwise slow the adoption or reduce impacts of recent investments in crop improvement. To identify these gaps, the CMGap group is conducting a wide gap analysis of modeling approaches and capabilities within the CGIAR centers and main partners to determine strengths, weaknesses, opportunities and needs in terms of modeling capacity and expertize.

CM Outreach Group

Increasing visibility and accessibility of crop research data is a key point to improve the global coordination of crop modeling efforts in agricultural research. The CM Outreach working group aims to accelerate dissemination of new crop information and technologies, share crop modeling skills, outcomes, opportunities, impacts and to promote FAIR (Findable, Accessible, Interoperable and Re-usable) crop research data.

Interested in contributing to our working groups?

Please select the group of interest:

10 + 14 =

Working Space

The CM-CoP is working on creating a virtual meeting space where participants can share ideas and resources, find collaborators and co-authors and participate in relevant discussions. Stay tuned.

 

Resources

Documents

  • Work Plan 2018 – Detailed description of expected outcomes and deliverables for 2018

Crop modelling publications

The Community of Practice on Crop Modeling has compiled a list of relevant Crop Modeling literature published in the last 5 years. Links to the original papers can be found in each reference.

Go to list (Google Doc) →

Newsletter

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