Parablennius tentacularis kahküllü horozbina balığı yaş büyüme Akaike'nin bilgi kriteri çoklu model çıkarımı
T.C. TARIM VE ORMAN BAKANLIĞI Trabzon SU ÜRÜNLERİ MERKEZ ARAŞTIRMA ENSTİTÜSÜ MÜDÜRLÜĞÜ
TAGEM/HAYSÜD/2010/09/01/04
Bu çalışma, “Karadeniz’deki Trol Balıkçılığının İzlenmesi” (TAGEM/HAYSÜD/2010/09/01/04) projesi kapsamında Ondokuz Mayıs Üniversitesi (OMU) ve Trabzon Su Ürünleri Merkez Araştırma Enstitüsü (SUMAE) işbirliği ile gerçekleştirilmiştir.
By the study's coverage, a total of 522 tentacled blennies (Parablennius tentacularis (Brünnich, 1768)), were caught by commercial fisheries and the bottom trawl operations in scientific field surveys between May 2010 and March 2012 from the southeastern Black Sea. The size distribution range of the sample varied between 4.8-10.8 cm. The difference between sex length (K-S test, Z=3.729, P=0.000) and weight frequency distributions (K-S test, Z=3.605, P=0.000) was found to be statistically significant. The length-weight relationship models were defined as isometric with W = 0.009L3.034 in male individuals and positive allometric with W = 0.006L3.226 in female individuals. Otolith and vertebra samples were compared for the selection of the most accurate hard structure that can be used to determine the age. Otolith was chosen as the most suitable hard structure. The current data set was used to predict the best growth model. For this purpose, the growth parameters were estimated with the widely used von Bertalanffy, Gompertz, Logistic growth functions. Akaike's Information Criterion (AIC), Lmak./L∞ ratio, and R2 criteria were used to select the most accurate growth models established through these functions. Model averaged parameters were calculated with multi-model inference (MMI): L'∞ = 15.091 cm, S.E. (L'∞) = 3.966, K'= 0.232 year-1, S.E. (K') = 0.122. functions. Model averaged parameters were calculated with multi-model inference (MMI): L'∞ = 15.091 cm, S.E. (L'∞) = 3.966, K'= 0.232 year-1, S.E. (K') = 0.122.
Parablennius tentacularis tentacled blenny age growth Akaike's information criterion multi model inference
TAGEM/HAYSÜD/2010/09/01/04
Birincil Dil | Türkçe |
---|---|
Konular | Yapısal Biyoloji , Hidrobiyoloji, Hayvan Bilimi |
Bölüm | Makaleler |
Yazarlar | |
Proje Numarası | TAGEM/HAYSÜD/2010/09/01/04 |
Yayımlanma Tarihi | 15 Haziran 2021 |
Gönderilme Tarihi | 21 Ekim 2020 |
Yayımlandığı Sayı | Yıl 2021Cilt: 38 Sayı: 2 |