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February 15-18, 2009 Washington State Convention Center Seattle ...

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4<br />

DETERMINING RIPENESS IN WHITE STURGEON FEMALES: A NONLETHAL METHOD<br />

TO MAXIMIZE YIELD AND QUALITY OF CAVIAR<br />

Anna G. Cavinato and Sarah A. Servid<br />

Department of Chemistry and Biochemistry<br />

Eastern Oregon University<br />

One University Blvd.<br />

La Grande, OR 97850 USA<br />

acavinat@eou.edu,<br />

The long-term goal of this project is to optimize caviar yield and quality from white sturgeon (Acipenser transmontanus) at<br />

harvest. Currently, the only means to assess ripeness and properly time harvest of caviar is measurement of oocyte polarization<br />

index (PI) which requires surgical biopsy.<br />

We report a rapid and non invasive method based on short wavelength near infrared spectroscopy (SW-NIR) that has the ability<br />

to detect the onset of atresia and could possibly replace oocyte PI by providing a less invasive and more reliable predictor of<br />

maturity.<br />

In September 2007 <strong>15</strong> late-vitellogenic females were sampled and moved from a warm water site to a cold water site. Fish<br />

were serially sampled in November, January and March. Atresia was induced by moving these females back to warm water.<br />

Abdominal scans were collected non invasively by SW-NIR on anesthetized females using a diffuse reflectance fiber optic<br />

probe. Approximately 200-300 ovarian follicles were then removed by catheter via a 1 cm incision in the abdomen and further<br />

scanned by SW-NIR. Spectral data were analyzed by Soft Independent Modeling of Class Analogy (SIMCA). Best prediction<br />

of onset of atresia through abdominal scans was achieved by building a model on mature fish with 66% of atretic fish correctly<br />

classified. Best prediction of onset of atresia through direct scans of egg follicles was achieved by building a model on atretic<br />

eggs with 80% of atretic eggs correctly identified. Further studies are currently being performed on a larger fish population to<br />

test the predictive ability of these models on new individuals.

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