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Saccular toadfish otolith from a female (55 g, 150 mm TL) which displays annual increments utilized for age determination: A, observation of three annuli seen with a dissection microscope with transmitted light; B, concave surface of the same otolith when viewed by scanning electron microscopy which shows three ridges.

Saccular toadfish otolith from a female (55 g, 150 mm TL) which displays annual increments utilized for age determination: A, observation of three annuli seen with a dissection microscope with transmitted light; B, concave surface of the same otolith when viewed by scanning electron microscopy which shows three ridges.

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Otoliths from oyster toadfish were measured and examined for annuli and daily increments. Distinct annual increments made it feasible to determine growth parameters which demonstrated sexual dimorphism in growth. Microincrements, judged to be daily on the basis of two separate criteria, were enumerated and measured to provide verification of annuli...

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... body length-body weight relationship of toadfish conformed to the power curve model wt = alb (Fig. 1). There was no significant difference in slopes when analyzed by sex (P > 0.05), consequently all data were combined. The model, weight = 6.098 length3 l8 was an excellent predictor curve (I = 0.99) for the present toadfish popu- lation. The saccular otoliths (sagittae) displayed definite hyaline and opaque zones when viewed with transmitted light ( Fig. 2A). The wider hyaline areas conceivably correspond to periods of fast growth which occur in the summer, while the thinner opaque areas are related to periods of slow growth which occur in the winter. An incremental area (which consisted of one opaque and one hyaline zone) was interpreted to be yearly in occurrence and incremental numbers increased in number with an increase in fish size. Examination of the distal surface of the otoliths by SEM demonstrated that the opaque areas formed ridges on the concave surface of the sagitta (Fig. 2B). The number of ridges viewed by SEM techniques corresponded to light microscope counts. The assignment of incremental areas as being yearly made it possible to estimate the age of toadfish in the present ...
Context 2
... body length-body weight relationship of toadfish conformed to the power curve model wt = alb (Fig. 1). There was no significant difference in slopes when analyzed by sex (P > 0.05), consequently all data were combined. The model, weight = 6.098 length3 l8 was an excellent predictor curve (I = 0.99) for the present toadfish popu- lation. The saccular otoliths (sagittae) displayed definite hyaline and opaque zones when viewed with transmitted light ( Fig. 2A). The wider hyaline areas conceivably correspond to periods of fast growth which occur in the summer, while the thinner opaque areas are related to periods of slow growth which occur in the winter. An incremental area (which consisted of one opaque and one hyaline zone) was interpreted to be yearly in occurrence and incremental numbers increased in number with an increase in fish size. Examination of the distal surface of the otoliths by SEM demonstrated that the opaque areas formed ridges on the concave surface of the sagitta (Fig. 2B). The number of ridges viewed by SEM techniques corresponded to light microscope counts. The assignment of incremental areas as being yearly made it possible to estimate the age of toadfish in the present ...

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... Another highlight with Ross McClung, Department of Anatomy and Neurobiology, was the first demonstration of sexual dimorphism in a fish brain (Fine et al., 1984). Neurons in the toadfish sonic motor nucleus increase in number and size for 7-8 years based on aging using annual rings on saccular otoliths (Radtke et al., 1985). Furthermore, males have two forms, one with large neurons and another with small neurons (now known as type I and II males). ...
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Estimating ages of individuals in fish populations is crucial for determining characteristics necessary to effectively manage sport fisheries. Currently, the most accepted approach for fish age determination is using thin sectioned otoliths for interpretation. This method is labor-intensive, requires extensive training, and subjectively determines age. Several studies have shown that otolith mass increases with age, yet use of otolith weights to determine fish age is relatively underutilized. However, determining fish age using otolith weight requires relatively little training, is relatively non-subjective, and is faster compared to other aging techniques. We collected kokanee salmon (Oncorhynchus nerka) in 2004 from four reservoirs, and from 2000 – 2009 in one reservoir, to evaluate the efficacy of using otolith weights to determine fish ages. We used a machine learning technique to predict kokanee salmon ages using otolith weight and various other covariates. Our findings suggest this method has potential to significantly reduce time and financial resources required to age fish. We conclude that using otolith weights to determine fish age may represent an efficient and accurate approach for some species.