Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Correction

Correction: Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency

  • The PLOS ONE Staff

In the Author Contributions, Poramate Manoonpong (PM) should be listed as one of the persons who acquired funding.

There is an error in affiliation 1 for author Krisna Rungruangsak-Torrissen. The correct affiliation 1 is: Institute of Marine Research, Ecosystem Processes Research Group, Matre Research Station, Matredal, Norway. The publisher apologizes for the error.

There are errors in references 1, 2, and 3, The correct reference 1 is: Rungruangsak-Torrissen K. Trypsin and its implementations for growth, maturation, and dietary quality assessment. In: Weaver K, Kelley C, editors. Trypsin: Structure, Biosynthesis and Functions. New York: Nova Science Publishers Inc; 2012. pp. 1–59. http://www.novapublishers.org/catalog/product_info.php?products_id=38114

The correct reference 2 is: Rungruangsak-Torrissen K. Atlantic Salmon, Salmo salar L.: Genetic Variations in Protein Metabolism and Growth. In: Woo PTK, Noakes DJ, editors. Salmon: Biology, Ecological Impacts and Economical Importance. New York: Nova Science Publishers Inc; 2014. pp. 85–120. https://novapublishers.com/wp-content/uploads/2019/05/978-1-63117-570-1_ch6.pdf

The correct reference 3 is: Rungruangsak-Torrissen K. Atlantic Salmon, Salmo salar L.: Food Utilization, Protein Growth Efficiency and Maturation. In: Woo PTK, Noakes DJ, editors. Salmon: Biology, Ecological Impacts and Economical Importance. New York: Nova Science Publishers Inc; 2014. pp. 121–154. https://novapublishers.com/wp-content/uploads/2019/05/978-1-63117-570-1_ch7.pdf. The publisher apologizes for the errors.

Reference

  1. 1. Rungruangsak-Torrissen K, Manoonpong P (2019) Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency. PLoS ONE 14(8): e0216030. https://doi.org/10.1371/journal.pone.0216030 pmid:31461459

Citation: The PLOS ONE Staff (2019) Correction: Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency. PLoS ONE 14(10): e0223740. https://doi.org/10.1371/journal.pone.0223740

Published: October 7, 2019

Copyright: © 2019 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.