Can back-calculated lengths based on otoliths measurements provide reliable estimates of Atlantic halibut ( Hippoglossus hippoglossus ) growth in the Gulf of Maine (U.S.A.)?-Reference-Cited by-同舟云学术

Can back-calculated lengths based on otoliths measurements provide reliable estimates of Atlantic halibut ( Hippoglossus hippoglossus ) growth in the Gulf of Maine (U.S.A.)?

Published:2017-01 Issue:1 Volume:2 Page:24-33
ISSN:2468-550X
Container-title:Aquaculture and Fisheries
language:en
Short-container-title:Aquaculture and Fisheries

Author:

Beaty Julia,Chen Yong

Funder

Maine Sea Grant

Maine DMR

Publisher

Elsevier BV

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference30 articles.

1. Age determination, bomb-radiocarbon validation and growth of Atlantic halibut (Hippoglossus hippoglossus) from the Northwest Atlantic;Armsworthy;Environmental Biology of Fishes,2010

2. Section M: Atlantic halibut;Blaylock,2012

3. The distribution, age and growth and sexual maturity of Atlantic halibut (Hippoglossus hippoglossus) in the Newfoundland and Labrador area of the Northwest Atlantic;Bowering,1986

4. How reliable are growth back-calculations based on otoliths?;Campana;Canadian Journal of Fisheries and Aquatic Sciences,1990

5. Measurement and interpretation of the microstructure of fish otoliths;Campana,1992

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Age and growth of Antarctic deep-sea smelt (Bathylagus antarcticus), an important mesopelagic fish in the Southern Ocean;Deep Sea Research Part II: Topical Studies in Oceanography;2022-07

2. Do Different Back-Calculation Length Models Produce Similar Results? An Integrated Approach for a Leuciscid Fish, Taberestan Spirlin Alburnoides tabarestanensis;Journal of Ichthyology;2022-04-20

3. NH3 sensing performance of Pt-doped WO3·0.33H2O microshuttles induced from scheelite leaching solution;Vacuum;2021-02

4. Otolith identification using a deep hierarchical classification model;Computers and Electronics in Agriculture;2021-01

5. Comparison between soft computing methods for tomato quality grading using machine vision;Journal of Food Measurement and Characterization;2018-08-27