Edward T. Schafer Agricultural Research Center

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential...

Site-specific mechanical weeding robot with automatic self-adjustable individually controlled cultivator

Abstract Context Weeds significantly reduce crop productivity and profitability, particularly in sugar beet production where losses exceed $1.25 billion annually in the United States. Limitations of herbicide-based control and drawbacks of conventional tillage highlight the need...

Genotypic Variation and the Effects of Nitric Oxide and 1-Methylcyclopropene on Mitigating Blackspot Bruise Enzymatic Browning in Potatoes

Abstract Blackspot bruise is a common defect caused by physical injury of potato tubers that triggers internal enzymatic browning, leading to significant postharvest losses. Reducing the development of internal discolouration has enormous benefits for the industry. The objective...