Near-infrared spectroscopy for high-throughput phenotyping

PI: João Dorea


Dorea is an assistant professor of animal and dairy sciences at UW–Madison who specializes in precision agriculture and data analytics. He has been working extensively on the development of top-notch applications of artificial intelligence to optimize farm management decisions and improve animal nutrition and health.

Dorea’s project will use a near-infrared spectroscopy (NIRS) instrument to predict complex traits in the beef and dairy industry. In addition to the regular predictions performed by (NIRS) techniques, such as feed and milk analyses, the use of NIRS has expanded to other applications, which include its implementation as a powerful tool to predict dairy and beef complex phenotypes, such as milk composition, feed intake, methane emission, feed efficiency, fertility, energy balance, health status, and meat quality traits.

Luiz Ferraretto