Research Highlights

Research Highlights
Improving Seed Protein Through Management and Understanding Nitrogen Metabolism

By Anna Locke, USDA-ARS

Protein-rich soybean meal is a premier feed source for poultry and livestock around the world. However, the concentration of protein in soybean seed has declined over the past few decades, and U.S. soybean has fallen below South American soybean in seed protein concentration. For U.S. soybean to maintain its value in the global marketplace, this trend of declining seed protein must be reversed. Seed protein concentration depends on both genetics and environment. Soybean breeders are working to genetically improve seed protein concentration, but breeding is a long-term process, and a more immediate response would be valuable. This project was funded for $130,728 in 2019 to investigate whether or not growers can improve seed protein concentration through environmental manipulations — specifically, by optimizing their farm management practices.

The objectives were to determine how farm management decisions, such as fertilizer application and tillage, impact soybean seed protein concentration in the final crop. Seed protein concentration is closely linked to nitrogen metabolism, so the impact of management practices on nitrogen metabolism in diverse soybean genotypes was investigated. Developing a better understanding of these factors, and the relationship between them, will give growers better information on how they can optimize seed composition on their own farms, and will help breeders develop new soybean varieties with higher seed protein. 

The project began with a meta-analysis of peer-reviewed scientific data. Information was aggregated from over 70 studies that examined the impact of management on soybean seed protein content. The benefit of this strategy was that results based on data from multiple studies, conducted under a wide variety of conditions, are more likely to be useful for a wide range of growing environments and conditions. 

Drone-captured image of six soybean genotypes under three different fertilization treatments at Sandhills Research Station in Jackson Springs, North Carolina, in August 2018. Photo: Jeremy Martin

In addition to the literature analysis, field studies were conducted to more closely examine the relationships between environment and seed protein concentration. In 2018, testing began on the impact of nitrogen application, sulfur application, tillage and irrigation on seed protein concentration in soybean. These tests were conducted at multiple locations in both North Carolina and South Carolina. Physiological and agronomic data, such as pod number, yield and quality (protein and oil), were collected in six soybean genotypes (Benning, Benning Hi-Pro, Nitrasoy, AG59X, NLM09-77, N7003CN) at four sites in the two states. In 2019, a plant density test was added to the project, and again data was collected for six genotypes at six sites representing diverse soil types throughout the Carolinas. Samples from the 2019 soybean harvest are currently being processed. Data from both years across multiple sites will be analyzed to provide new insights into seed protein concentration. 

This project will have both short-term and long-term impacts for growers. Upon completion, the data from this project will identify management factors that influence soybean protein concentration, which growers can immediately use to make decisions on their own farms. In the longer term, information this project uncovers about nitrogen metabolism and differences in physiological and agronomic responses among soybean genotypes will improve efforts to increase soybean seed composition through conventional breeding and biotechnology-based improvements.

Published: May 12, 2020

The materials on SRIN were funded with checkoff dollars from United Soybean Board and the North Central Soybean Research Program. To find checkoff funded research related to this research highlight or to see other checkoff research projects, please visit the National Soybean Checkoff Research Database.