Gui Baigorria

Gui Baigorria

  • Contact Information
  • My Story
  • Publications & Presentations
  • Background
  • Expertise & Interests
  • Grants
  • Advising
  • Courses Taught
  • Outreach

Title Crop Simulation Modeler
Address 823 Hardin Hall
3310 Holdrege Street
Lincoln NE
68583-0968
Phone 402-472-8727
FAX 402-472-2946
E-mail gbaigorria2@unl.edu
Vitae Download file

The focus of my research is to help agricultural related decision makers increase the efficiency of using climate information through the development and/or improvement of user-friendly, scientifically robust decision support tools. To accomplish this, I work on

  1. developing a better understanding of crop response to climate variability and change under rainfed and irrigated conditions;
  2. optimizing management practices for a given crop, location and irrigation system using crop models, weather/seasonal-climate forecasts, and climate projections;
  3. developing/improving crop models and decision support toolkits for improving crop production;
  4. developing methods to link and couple climate and crop models to improve stakeholder's decision making.

To perform these tasks, I use integrated system approaches combining field research with simulation modeling and validation to ensure the widest possible extrapolation of results.

Advanced information technologies such as dynamic, statistic and stochastic computer simulation models, decision support systems, and GIS are critical components of my program. Current projects I'm developing under my national and international programs includes

  1. development of CropClimate*,
  2. looking for climate change adaptation in agriculture from local through regional and to global scales,
  3. development of stochastic downscaling methods for applications on climate variability, climate change and filling missing values.

Currently, I have specific projects within the U.S. at Nebraska, Florida, Alabama, Georgia. CropClimate runs for all the United States territories at the sub-county level. My international program currently involves India, Nepal, Bangladesh and Peru, and I'm looking of increasing my research to Brazil, Mexico, and Ethiopia (proposals pending) as well as trying to incorporate other countries in Africa and Asia.

* CropClimate, is an initiative from the University of Nebraska-Lincoln that will produce climate-related, useful information for agricultural decision makers within the U.S. at scales finer than county level and is expected to be released in the next few months. CropClimate uses state-of-the-art knowledge in climate-, soil-, and crop-modeling to link the effects of environmental conditions and management (i.e. irrigation, fertilization) in the growth and the development of crops. Based on this climatic and agronomic information; farmers, lenders, agrochemical companies, and others can tailor their management and services according to the forthcoming seasonal climate forecast. A huge component of CropClimate is our extension team, who translates and transfers the cutting edge scientific knowledge in terms that users can benefit from. CropClimate is based on dynamic crop modeling that represents our current understanding of plant biology and its interactions with the environment at plant and plot scales. Supported by our detailed climate and soil databases and its modeling team, CropClimate explores crop modeling capabilities to improve field management of food, fiber and fuel crops for more sustainable production systems.

SNR Faculty Area(s)

SNR Areas of Expertise

Keyword Expert Level

10 - Top Expert
1 - Mild Interest

Crop Modeling

8

Insect Ecology

6

Meteorology

6

Select a keyword and see other SNR faculty and staff with this interest or expertise.

Currently this page only displays grants that were awarded on 1/1/2009 to the present. If a grant was awarded prior to 1/1/2009 and is still active, it will not be displayed on this page.

Grant Title Predicting Climate Extreme GHA
Starting Date 11/1/2013
Principal Investigators
Tsegaye Tadesse
Co-PIs
Gui Baigorria
Shimelis, Beyene
Mike Hayes
Brian Wardlow
Ending Date 10/31/2016
Funding Level $987,767.00
Funding Source National Aeronautics and Space Administration

 
Grant Title Development of a Catastrophic Insurance Index for Quinoa Producers in Puno-Peru
Starting Date 4/1/2013
Principal Investigators
Gui Baigorria
Ending Date 4/20/2013
Funding Level $3,620.00
Funding Source La Positiva Seguros y Reaseguros

 
Grant Title Future Crop Yield Projections (additional funding)
Starting Date 10/1/2012
Principal Investigators
Gui Baigorria
Ending Date 3/14/2014
Funding Level $80,000.00
Funding Source Florida State University

 
Grant Title Agricultural Model Intercomparison and Improvement Project (AgMIP): Indo-Gangetic Basin
Starting Date 3/1/2012
Principal Investigators
Gui Baigorria
Ending Date 3/15/2014
Funding Level $41,798.00
Funding Source Columbia University

 
Grant Title Integration of NASA Models and Missions into Agricultural Decision Support
Starting Date 1/1/2012
Principal Investigators
Gui Baigorria
Ending Date 9/1/2013
Funding Level $76,943.00
Funding Source University of Florida

 
Grant Title Optimizing Future Crop Yield Projections Using Weighted Multi-Model Ensemble Approaches: A New Framework for an Integrated Climate Application System
Starting Date 10/1/2012
Principal Investigators
Gui Baigorria
Ending Date 3/14/2013
Funding Level $80,000.00
Funding Source Florida State University

 

Graduate Program(s)

Master of Science in Natural Resource Sciences


including specializations in
  • Bio-Atmospheric Interactions
  • Climate Assessment & Impacts

Doctor of Philosophy in Natural Resource Sciences


including specializations in
  • Bio-Atmospheric Interactions
  • Climate Assessment & Impacts

Courses Taught in the Current Semester
Course Number Course Title Day Time Cross Listing
NRES 498 Special Topics in Natural Resources: Stochastic Downscaling: Applications in Agriculture Online Online NRES 498/898
NRES 898 Special Topics in Natural Resources: Stochastic Downscaling: Applications in Agriculture ONLINE Online NRES 498/898
Courses Taught
Course Number Course Title Fall Even Years Fall Odd Years Spring Even Years Spring Odd Years Summer Session Cross Listing
NRES 498 Special Topics in Natural Resources: Stochastic Downscaling: Applications in Agriculture X NRES 498/898
NRES 898 Special Topics in Natural Resources: Stochastic Downscaling: Applications in Agriculture X NRES 498/898