Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/30036
Campo DC Valoridioma
dc.contributor.authorBondyale-Juez, Daniel R.en_US
dc.contributor.authorPackard, Theodore T.en_US
dc.contributor.authorViera-Rodríguez, M.A.en_US
dc.contributor.authorGómez, Mayen_US
dc.date.accessioned2018-02-21T09:47:25Z-
dc.date.available2018-02-21T09:47:25Z-
dc.date.issued2017en_US
dc.identifier.issn0025-3162en_US
dc.identifier.urihttp://hdl.handle.net/10553/30036-
dc.description.abstractAerobic respiration is a biological energy generation process that consumes organic carbon and oxygen. In the ocean, the balance between photosynthesis and respiration is recognized as critical to understanding the ocean’s impact on the hydrospheric and atmospheric CO 2 . Techniques to determine respiration can be based on inorganic chemistry, electrochemistry, photochemistry, and enzymology. Here, for method comparison, physiological respiration was simultaneously measured by the Winkler method (W), O 2 electrodes (E), and O 2 optodes (O). These techniques detected respiratory O 2 consumption (R), in situ, in dark incubation chambers. Respiratory electron transport system activity measurements detected potential respiration (Ф), biochemically. Leptomysis lingvura, a marine mysid, and Ulva rigida, a species of green algal sea lettuce, were the two organisms tested. Physiological respiration results from each technique were not statistically significantly different (multiple paired Student’s t tests, p value >  0.05) and were inside the range of similar published measurements. The mean dry-mass-specific respiration in L. lingvura and U. rigida was 0.147 ± 0.037 and 0.023 ± 0.008 µmol O 2  h −1 (mg dry mass) −1 , n = 9, respectively. The R-to-Ф ratios were different in the two organisms. However, linear regression between R and Ф for L. lingvura and U. rigida was stronger (r 2  = 0.814 and 0.313) than the linear regression between R and dry biomass (r 2  = 0.643 and 0.213). The application of Passing–Bablok regression analysis evidenced the high correlation between the results, and the Bland–Altman analysis examined the average difference (“bias”) and limits of agreement between the methods.en_US
dc.languageengen_US
dc.relation.ispartofMarine Biologyen_US
dc.relation.isreplacedbyhdl:10553/35354-
dc.sourceMarine Biology [ISSN 0025-3162], v. 164 (12), article number 226en_US
dc.subject251092 Acuicultura marinaen_US
dc.subject2510 Oceanografíaen_US
dc.subject.otherBioassayen_US
dc.subject.otherBioenergeticsen_US
dc.subject.otherBiomassen_US
dc.subject.otherComparative studyen_US
dc.subject.otherCrustaceanen_US
dc.subject.otherElectrodeen_US
dc.subject.otherIncubationen_US
dc.subject.otherOrganic carbonen_US
dc.subject.otherOxic conditionsen_US
dc.subject.otherOxygenen_US
dc.subject.otherPhotosynthesisen_US
dc.subject.otherPhysiologyen_US
dc.subject.otherRegression analysisen_US
dc.subject.otherRespirationen_US
dc.titleRespiration: comparison of the Winkler technique, O2 electrodes, O2 optodes and the respiratory electron transport system assayen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00227-017-3271-1
dc.identifier.scopus2-s2.0-85037667801-
dc.identifier.isi000417205700001-
dc.identifier.urlhttp://api.elsevier.com/content/abstract/scopus_id/85037667801-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.authorscopusid57199146171-
dc.contributor.authorscopusid7004249480-
dc.contributor.authorscopusid6504450075-
dc.contributor.authorscopusid7401734371-
dc.identifier.eissn1432-1793-
dc.identifier.issue226-
dc.relation.volume164-
dc.investigacionCienciasen_US
dc.source.typere-
dc.type2Artículoen_US
dc.contributor.daisngid23684286
dc.contributor.daisngid311411
dc.contributor.daisngid5298452
dc.contributor.daisngid1273639
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Bondyale-Juez, DR
dc.contributor.wosstandardWOS:Packard, TT
dc.contributor.wosstandardWOS:Viera-Rodriguez, MA
dc.contributor.wosstandardWOS:Gomez, M
dc.date.coverdateDiciembre 2017
dc.identifier.ulpgces
dc.description.sjr1,085
dc.description.jcr2,215
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR ECOAQUA: Ecofisiología de Organismos Marinos-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptGIR ECOAQUA: Ecofisiología de Organismos Marinos-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptGIR ECOAQUA: Ecofisiología de Organismos Marinos-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptGIR ECOAQUA: Ecofisiología de Organismos Marinos-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptDepartamento de Biología-
crisitem.author.orcid0000-0002-2381-5371-
crisitem.author.orcid0000-0002-5880-1199-
crisitem.author.orcid0000-0002-6423-619X-
crisitem.author.orcid0000-0002-7396-6493-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.fullNameBondyale Juez, Daniel Rickue-
crisitem.author.fullNamePackard, Theodore Train-
crisitem.author.fullNameViera Rodríguez,María Ascensión-
crisitem.author.fullNameGómez Cabrera, María Milagrosa-
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