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Cited by 675

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Feed Matters: Satisfying the Feed Demand of Aquaculture

Tacon, Albert G. J., Metian, Marc·2015·Reviews in Fisheries Science & Aquaculture

Abstract

The rise of aquaculture has attracted a great deal of attention and this has increased since the sector is now providing more fish and crustaceans than capture fisheries. This global prominence has been partly facilitated by the availability and on-farm provision of feed inputs within the major aquaculture producing countries. More than 70% of the total global aquaculture production is dependent upon the supply of external feed inputs. For the aquaculture sector to maintain its current growth rate, the supply of nutrient and feed inputs will have to grow at a similar rate, while aquatic ingredients production remains static and other sectors compete for same feed resources. This paper attempts to make a global analysis of aquaculture growth, its role in global food production, and to update the estimates of compound feed dependent fish and crustacean species.

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Registry

Crossref · 10.1080/23308249.2014.987209

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Metadata

Authors
Tacon, A. G. J., & Metian, M.
Venue
Reviews in Fisheries Science & Aquaculture
Published
2015-01-02
Volume
23
Issue
1
Pages
1-10
ISSN
  • 2330-8249 (ISSN-L)
  • 2330-8257
OpenAlex
W2022280799
Cited by
675
References
20
FWCI
55.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Feed Matters: Satisfying the Feed Demand of Aquaculture. https://app.cochat.ai/papers/10.1080/23308249.2014.987209
The paper
Tacon, A. G. J., & Metian, M. (2015). Feed Matters: Satisfying the Feed Demand of Aquaculture. Reviews in Fisheries Science & Aquaculture. https://doi.org/10.1080/23308249.2014.987209

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.