Noninvasive characterization of maturity status to optimize caviar yield and quality in white sturgeon

CHED 283

Sarah A. Servid, servids@eou.edu, Angelica L. Bowers, bowersa2@eou.edu, Laura R. Twombly, twombll@eou.edu, and Anna G. Cavinato, anna.cavinato@eou.edu. Department of Chemistry and Biochemistry, Eastern Oregon University, One University Blvd., La Grande, OR 97850
The long-term goal of this project is to optimize caviar yield and quality from white sturgeon (Acipenser transmontanus) at harvest. We report a rapid and non-invasive method based on short wavelength near infrared spectroscopy (SW-NIR) that has the potential to replace an invasive method called oocyte polarization index. In this study abdominal scans were collected non-invasively by SW-NIR on anesthetized females using a diffuse reflectance fiber optic probe. In order to ascertain the presence of distinct spectral clusters associated with different degrees of maturation, spectral data were analyzed by Soft Independent Modeling of Class Analogy. Our results show that it is possible to classify eggs according to maturity status and that such differences can be observed non-invasively through the fish abdominal area. Further studies on a larger fish population of either mature or immature fish will allow to built a model predicting the maturity status of a new individual.