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Crop Modeling CoP Webinar Invite
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WEBINAR:
Target Population of Environments (TPE) & beyond: Helping make better crop improvement practice
Date and time:
24 June 2020 @ 9:00 AM EDT ( UTC - 4:00)
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The Breeding Program Assessment Tool (BPAT) generated a set of recommendations for the CGIAR breeding programs. One such recommendations is the use of the Target Population
of Environments (TPE) approach. But, what is a TPE? what are they useful for? how can breeding programs develop and use them?
In this webinar, organized by the
Crop Modeling Community of Practice, Julián Ramirez-Villegas, the Data Science for Climate Action Leader at The Alliance
of Bioversity International and CIAT, will introduce us to the TPE analysis, why it is important and why we should care about it.
Jana Kholova, a Senior Scientist in Crop Physiology and Modelling at
ICRISAT, will present her experience using TPE and how other research fellows can benefit from it. Finally, Stefan Einarson, the Director of Transnational
Learning and Head of Information Technology in International Programs, College of Agriculture and Life Sciences (IP-CALS) at Cornell
University, will present some global capacities for TPE analysis.
After the presentations, webinar attendees will have the opportunity to ask any TPE-related questions to the panelists.
You can find more information related to the webinar
here. If you want to attend to the webinar, you need to register in advance. Register now!
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If you won't be able to attend but you have questions to the panelists that would like
to address, please submit the questions with the button below.
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We hope you will join us for this interesting webinar.
Regards,
The Crop Modeling Community of Practice Team
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Julian Ramirez-Villegas
is an Agricultural Engineer by training, with a PhD in Environmental Sciences. He gained a PhD in Environmental Sciences at the University of Leeds in late 2013, after which he worked as a postdoctoral research fellow for three years at same university, funded
by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Julian joined CIAT after finishing his postdoctoral fellowship, to lead research on climate impacts and adaptation. Julian’s research spans a range of disciplines including
climate change adaptation, crop modeling, agro-meteorology, biodiversity conservation, and geographic information systems. Julian has published more than 50 peer-reviewed articles, including in high-impact journals such as PNAS and Nature. His work on climate
adaptation has been
internationally recognized by the United Nations. In the Alliance, Julian leads a team of young and talented researchers with expertise on agricultural, food systems and climate modeling, climate change, and geographic
information systems.
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Jana Kholová
with
GEMS team and network of partners contributes to crop improvement efforts in order to enhance the agricultural production quantities and qualities in semi-arid agro-ecological production system (South Asia, West and Central
Africa). She is responsible for integrating the knowledge of plant biological functionalities through high-throughput phenotyping and modelling tools into the inter-disciplinary crop improvement pipelines. Her current responsibility lies in delivering upon
the objectives of several large research initiatives (e.g. US-AID, Bill&Melinda Gates Foundation) and multiple medium to small national and international
projects. She is responsible for development of tools, technologies and protocols to capture the key plant processes useful in cop improvement and simultaneously reflect these into crop model functions to assess their
potential value in target production systems with high geo-spatial precision. She works towards quantitative characterization of crop production agro-ecologies to target the agricultural technologies to fit the ethno-socio-bio-geo-physical situation of production
regions under current and future environmental challenges.
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Stefan Einarson holds a degree in Electrical Engineering
from Union College and an MBA from Rensselaer Polytechnic Institute. He has more than twenty years of experience collaborating with international teams where technology, infrastructure, and data-sharing are key issues. He has experience in modeling. Two of
his most recent models are the Vulnerability Mapping Capability (VMC) application looking at the interactions between rust pathogens and wheat in Ethiopia and Kenya and the Crop Growth Model (CGM) connected to the new Enterprise Breeding System (EBS) within
the Excellence in Breeding (EIB) program. He also has extensive experience in distance-learning technologies and has been a cornerstone in helping setup PhD and Master’s training centers in agricultural sciences throughout Sub-Saharan Africa. Stefan is currently
the objective leader for Data Management for the Delivering Genetic Gain in Wheat (DGGW) program, which has more than 20 partners worldwide, and serves in a lead management role for the NextGen Cassava project.
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