DISKRIMINASI KELAMIN PADA IKAN TUNA SIRIP KUNING, Yellowfin tuna MENGGUNAKAN ANALISIS DOT BLOT DAN ELISA
Abstract
Pemahaman tentang penentuan jenis kelamin dalam populasi induk merupakan hal yang sangat penting bagi keberhasilan program pembenihan. Pengukuran reaksi antibodi dan aktivitas hormon testosterone, serta estradiol adalah metode dengan potensi yang secara akurat dapat menentukan jenis kelamin ikan tanpa mematikan ikan. Tujuan penelitian ini adalah untuk mengetahui akurasi metode dot blot dan ELISA dengan 11-ketotestorsterone (11-KT) yang tersedia secara komersial EIA-kit untuk membedakan jenis kelamin ikan tuna sirip kuning. Hasil analisis menunjukkan bahwa metode dot blot menghasilkan ekspresi vitelogenin tampak jelas pada individu betina dan efek plasma terlihat transparan, jika dibandingkan dengan individu jantan. Interpretasi dari metode ini memerlukan pengalaman dan keahlian dalam akurasi pembacaan hasil. Aktivitas hormon 11-KT dengan sampel klip sirip dan plasma memberikan hasil yang baik dengan aktivitas hormon terlihat jelas.
Keywords
Full Text:
PDFDOI: http://dx.doi.org/10.15578/jra.9.1.2014.39-46

Jurnal Riset Akuakultur is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats
p-ISSN 1907-6754
e-ISSN 2502-6534
<img src="data:image/png;base64,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