Results 161 to 170 of about 140,313 (357)

Saprolegnia parasitica S1 and S2 Strains Differ in Zoospore Transition Timing and Pathogenicity Against Juvenile Atlantic Salmon (Salmo salar)

open access: yesJournal of Fish Diseases, Volume 49, Issue 2, February 2026.
ABSTRACT S1 and S2 strains of S. parasitica are both common among diseased farmed salmonids in Nova Scotia, whereas globally S1 is rare and S2 is common. Following the initiation of asexual maturation and overnight incubation at 20°C then harvest, and incubation at 10°C in vitro, S2 secondary zoospores mostly transformed into cysts within 3 h, and by 6 
James Duston   +3 more
wiley   +1 more source

DISTRIBUTION OF LIPIDS AND OXIDATIVE CHANGES THEREIN IN PARTICULARIZED PARTS OF RAINBOW TROUT FILLETS

open access: bronze, 2013
Grzegorz Bieńkiewicz   +3 more
openalex   +1 more source

Cardiac activity cessation during slaughtering combinations in farmed European seabass

open access: yesJournal of the World Aquaculture Society, Volume 57, Issue 1, February 2026.
Abstract Ensuring fish welfare during stunning and slaughter is essential, as these procedures represent critical points in the production cycle that can significantly impact animal welfare. Cardiac activity serves as a key physiological indicator to assess stress responses and welfare in fish.
E. Hoyo‐Alvarez   +4 more
wiley   +1 more source

VHSV and IHNV in the Environment: Assessment and Comparison of eRNA‐Based Methods for Detection in Aquaculture

open access: yesEnvironmental DNA, Volume 8, Issue 1, January–February 2026.
VHSV and IHNV molecular detection in environmental samples was tested in controlled infection trials. We show that, in water, detected viral eRNA copies correlate with infectious particle numbers. After comparison of viral concentration methods from water, we demonstrate the feasibility of filter‐based eRNA detection in IHNV‐positive aquaculture farms.
Giulia Zarantonello   +5 more
wiley   +1 more source

A Critical Review on the Application and Innovation in Smart Fisheries

open access: yesEngineering Reports, Volume 8, Issue 1, January 2026.
Smart fisheries powered by Artificial Intelligence (AI), Internet of Things (IoT), and machine learning can spot diseases early, monitor water in real time, and identify fish automatically, helping farmers boost yields, cut losses, and protect sustainability in countries like Bangladesh.
Shahim Uddin Saba   +6 more
wiley   +1 more source

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