State of steroid secretory cells and concentration of gonadal steroid hormones in the blood plasma of Siberian sturgeon Acipenser baerii and sterlet A. ruthenus (Acipenseridae) during sex differentiation

Mosyagina, M.V.; Zelennikov, O. V.

doi:10.1134/s0032945215060107

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…However, sturgeons have no reliable external sexual characteristics, as previously described (Chebanov & Galich, ; Fopp‐Bayat, ). Currently, to determine sex, hormonal (Du et al, ; Mosyagina & Zelennikov, ; Wheeler, Novak, Wippelhauser, & Sulikowski, ), biochemical (Barulin, ; Yarmohammadi et al, ), histological methods (Golpour et al, ) and biopsy, laparoscopy (Falahatkar & Poursaeid, ; Webb, Eenennaam, Crossman, & Chapman, ), endoscopy (Munhofen, Jiménez, Peterson, Camus, Jiménez, Peterson, Camus, & Divers, ) are used. Above methods have difficulties with mass application in aquaculture and can have a high error (the first two methods) or can traumatize fish (the last four methods).…”

Section: Introductionmentioning

confidence: 99%

Using machine learning algorithms to analyse the scute structure and sex identification of sterlet Acipenser ruthenus (Acipenseridae)

Barulin

2019

Aquac Res

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Sturgeons are valued as specialty black caviar, which is very expensive. Only females are used in the technology of caviar aquaculture. Universal method of sex determination has not yet been developed. Most of known methods are not sufficiently accurate, or used at a relatively late age, or difficult to use. Perfect early determination of sex is considered to be impossible. Because of the dark colour of most sturgeons and important morphological differences, which fish of almost all ages have, were overlooked. We first found that the scute structure of sterlet sturgeon depends on the sex. The found dependencies with the help of machine learning algorithms open a possibility for creation of sex determination equipment using the artificial intelligence. Our results open a perspective for creation of sex determination methods for other 23 sturgeon species, which can increase the efficiency of caviar aquaculture and restoration of sturgeons in natural waters.

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Section: Introductionmentioning

confidence: 99%

Using machine learning algorithms to analyse the scute structure and sex identification of sterlet Acipenser ruthenus (Acipenseridae)

Barulin

2019

Aquac Res

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Verification of an efficient genetic sex identification method in Portunus trituberculatus: Applied to study sex ratios in full-sib families

Zhang

et al. 2021

Aquaculture

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Scute structure reveals sex of juvenile and young sturgeon in caviar aquaculture technology

Barulin

2018

Preprint

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Sturgeons are valued as specialty black caviar, which is very expensive. Only females are used in the technology of caviar aquaculture. Universal method of sex determination has not yet been developed. Most of known methods are not sufficiently accurate, or used at a relatively late age, or difficult to use. Perfect early determination of sex is considered to be impossible. Because of the dark color of most sturgeon, important morphological differences, which fish of almost all ages have, were overlooked. We first found that the scute structure of Sterlet and Siberian sturgeon depends on the sex, such a pattern is typical for sturgeon of all ages. We found that sex determination is possible at very early stages. Dependencies found with the help of machine learning method open a possibility for creation of sex determination equipment using the artificial intelligence. Our results open a perspective for creation of the sex determination methods for other 23 sturgeon species, which can increase the efficiency of caviar aquaculture and sturgeon restoration in natural waters.

show abstract

State of steroid secretory cells and concentration of gonadal steroid hormones in the blood plasma of Siberian sturgeon Acipenser baerii and sterlet A. ruthenus (Acipenseridae) during sex differentiation

Cited by 7 publications

References 9 publications

Using machine learning algorithms to analyse the scute structure and sex identification of sterlet Acipenser ruthenus (Acipenseridae)

Using machine learning algorithms to analyse the scute structure and sex identification of sterlet Acipenser ruthenus (Acipenseridae)

Verification of an efficient genetic sex identification method in Portunus trituberculatus: Applied to study sex ratios in full-sib families

Scute structure reveals sex of juvenile and young sturgeon in caviar aquaculture technology

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