blueprint of genetic potential written across billions of DNA base pairs


environmental factors (e.g., precipitation, sunlight, nutrients, weed & pest protection applications)


observable characteristics resulting after the environmental has influenced which genes are expressed (e.g., leaf or canopy area, nitrogen content, photosynthetic activity)

genotype x environment = phenotype

Phenotyping, the process of measuring and analyzing observable plant characteristics, is a term used frequently in the College of Agriculture these days—and a technique that is now automated for field research at Purdue.

The Indiana Corn and Soybean Innovation Center, a 25,500-square-foot facility at the Purdue Agronomy Center for Research and Education (ACRE), opened in fall 2016 and is the first field phenotyping facility in North America. This multidisciplinary research facility was made possible in part by significant funds from Indiana farmers through the Indiana Soybean Alliance and Indiana Corn Marketing Council.

Although scientists have made significant advances in sequencing the genetic material of key crops, the technology to help identify how those genes are expressed in observable traits in plants (the phenotype) lags behind. Making the connection between genotype and phenotype can help scientists modify desirable plant traits, improving climate adaptation, enhancing crop yield and nutritional characteristics, and optimizing management technologies for weed and pest control.

Phenotyping is not a new technique, but measuring characteristics such as plant height, nitrogen content, and photosynthetic activity by hand is time-consuming and laborious. Automated field phenotyping using sensors, configurable harvesting equipment, and drones produces far more data in a shorter time frame, allowing researchers to more quickly close the gap between genotype and phenotype.

Photos provided by Kiri Northam and Rebecca Stephens.

Identify the minimum fertilizer application for a specific genotype that allows for maximum growth

Identify the genotype that produces the highest yield after fertilizer application

A Multidisciplinary Approach


Applying the science of soil management and crop production.

Electrical Engineering

Designing, constructing, and maintaining sensors.

Aviation Technology

Using UAVs (unmanned aerial vehicles) to collect data.

Civil Engineering

Developing images from sensors and collecting data from images.

Computer Science

Analyzing data collected through machine learning more efficiently.


Applying the science for better crops and yields.

Inforgraphics provided by Kiri Northam and Rebecca Stephens.

Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, (765) 494-4600

© 2023 Purdue University | An equal access/equal opportunity university | Copyright Complaints | Maintained by Envision – College of Agriculture Magazine at Purdue University

If you have trouble accessing this page because of a disability, please contact Envision – College of Agriculture Magazine at Purdue University at