Institute of Food and Agricultural Sciences

Evaluating feed attractants and replacement diets to reduce Artemia spp. use in albino Rainbow Sharkminnow Epalzeorhynchos frenatum larviculture protocols

Abstract Objective Brine shrimp Artemia spp. nauplii are a widely used first feed in ornamental aquaculture due to their digestibility, adequate nutritional profile, and ability to elicit feeding behavior from larval fish. Issues with variable cost and nutritional consistency, ho...

Leaf damage is associated with alteration of microbiome composition and abundance in the Spartina alterniflora phyllosphere

ABSTRACT Spartina alterniflora , the dominant plant species in salt marshes along the Atlantic and Gulf of Mexico coastlines of the Americas, is affected by disease and sudden vegetation dieback. Despite the foundational role of S. alterniflora in low-elevation salt marshes, the...

Advances in the Integration of Genomic and Phenomic Tools in Cowpea Breeding for Improving Stress Resilience and Grain Yield and Quality

ABSTRACT Cowpea ( Vigna unguiculata L. Walp) is a multi‐use crop highly valued as a food crop, high‐protein fodder, and sustainable cover crop. Yet, it remains underused, and yields in most growing regions are below the crop's potential due to multiple biotic and abiotic stresses...

270. Performance of Early-Weaned Beef Calves Grazing Annual Ryegrass Under Different Concentrate Supplementation Strategies.

Abstract The objective of this study was to evaluate the effects of concentrate supplementation levels and delivery strategy on the growth performance of early-weaned beef calves grazing annual ryegrass (Lolium multiflorum). Three experiments were conducted at the UF/IFAS Range C...

Examining depredation of reef fish on descender devices across the Gulf of Mexico

Abstract Objective We partnered with the charter-for-hire fishing fleet to document depredation rates of fish on ­descender devices across the U.S. Gulf of Mexico and identify the species responsible for depredation. Methods Two types of data were collected: (1) underwater video...

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...