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A practical handbook of seawater analysis

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The article was published on 1968-01-01 and is currently open access. It has received 11288 citations till now. The article focuses on the topics: Seawater.

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Nitrogen assimilation of an oceanic diatom in nitrogen-limited continuous culture1

TL;DR: The oceanic diatom Thalassiosira pseudonana Hasle and Heimdal (formerly Cyclotella nana) was grown with 12L:12D illumination cycles in nitrogen‐limited continuous culture with a mixture of ammonium and nitrate as the N source to study the in vitro activities of the assimilatory enzymes nitrate reductase and glutamic dehydrogenase.
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The microbial food web along salinity gradients

TL;DR: The microbial food web was studied along a gradient of salinity in two solar salterns used for the commercial production of salt, finding a progressive reduction in the abundance and number of different groups of eukaryotic microorganisms present, but an increase in biomass of prokaryotes.
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Replacement of fish meal by animal by-product meals in a practical diet for grow-out culture of grouper Epinephelus coioides

TL;DR: Results showed that up to 80% of fish meal protein can be replaced by processed meat meal and blood meal coming from terrestrial animals with no adverse effects on growth, survival, and feed conversion ratio of E. coioides juveniles.
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Underwater Photosynthesis of Submerged Plants – Recent Advances and Methods

TL;DR: Assessing the influence of inorganic carbon and temperature on natural aquatic communities of variable density and tolerance of terrestrial plants during flooding is recommended in addition to studying detached leaves in the scenarios of rising CO2 and temperature.
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Use of principal component scores in multiple linear regression models for prediction of Chlorophyll-a in reservoirs

TL;DR: In this paper, the relationship between Chlorophyll-a and 16 chemical, physical, and biological water quality variables in Camlidere reservoir (Ankara, Turkey) were studied by using principal component scores (PCS) in multiple linear regression analysis (MLR) to predict CHL-a levels.