New technologies such as yield monitor system, satellite imagery and UAVs are generating large sets of data that can be used as a valuable addition to precision agriculture decisions. My work with the Nutrient Management Spear Program involves analyzing these datasets using advanced hierarchical statistical model as well as developing methodology and protocol to use and process these datasets for agricultural decisions.
My focus in the Nutrient Management Spear Program is use technology for developing more efficient nitrogen fertilization strategies. Multispectral aerial images derived from drones services, as well as active sensor scanning, are used to determine in-season nitrogen requirements of corn and sorghum and to predict grain and forage yields.
Globally, I am interested in investigating the potential of dietary manipulations to modulate metabolism, health and production performance. My recent work has focused in using mass spectrometry-based lipidomics to unveil the roles of sphingolipids in the development of insulin resistance in dairy cows, and to identify metabolic fingerprints defining normal and pathological trajectories of lipid metabolism during the transition from gestation to lactation. To achieve this, we have utilized both in vivo and in vitro approaches centered on lipid metabolism in key organs (e.g. liver, and adipose tissue) and its relation to insulin action. More recently, we have applied lipidomics to study the effects of nutritional interventions on markers of metabolic health in humans. Moving forward, I am interested in exploring the potential of nutritional manipulation to dairy cow diets to modulate milk composition and its nutraceutical potential.