Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/132274
Campo DC Valoridioma
dc.contributor.authorMartínez Soler, Marinaen_US
dc.contributor.authorShin,Hyun Suken_US
dc.contributor.authorLorenzo Felipe,Alvaroen_US
dc.contributor.authorZamorano Serrano, María Jesúsen_US
dc.contributor.authorGinés Ruiz, Rafaelen_US
dc.contributor.authorPachón Mesa, Laura Cristinaen_US
dc.contributor.authorGonzález, Darwinen_US
dc.contributor.authorFernández Martín, Jesúsen_US
dc.contributor.authorRamírez Artiles, Juan Sebastiánen_US
dc.contributor.authorPeñate Sánchez, Adriánen_US
dc.contributor.authorLorenzo-Navarro, Javieren_US
dc.contributor.authorTorres, Ricardoen_US
dc.contributor.authorReyes Abad, Eduardoen_US
dc.contributor.authorAfonso López, Juan Manuelen_US
dc.contributor.authorLince, Jose Antonioen_US
dc.date.accessioned2024-07-22T08:28:05Z-
dc.date.available2024-07-22T08:28:05Z-
dc.date.issued2024en_US
dc.identifier.issn0044-8486en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/132274-
dc.description.abstractIn shrimp production, product quality plays a crucial role and determines consumer acceptance. However, there are no studies on its genetic determination. The main purpose of this study was, for first time in Penaeus vannamei, to estimate the additive genetic variation of flesh quality traits in terms of composition and texture, and their genetic correlation with growth and morphological traits. To this end, 388 shrimps from the fourth generation of the PMG-BIOGEMAR© breeding program, belonging to 79 full-sib families, were reared under an extensive industrial culturing system (PRODUMAR, Durán, Ecuador). At the same day, they were harvested and measured for fresh weight. They were kept at −20 °C for later sampling for flesh quality traits, in terms of composition, by Near-Infrared spectroscopy (NIR), and texture by Texture analyzer technologies. Growth and morphological traits were manually measured with a vernier caliper. Low heritabilities were estimated for flesh composition traits (0.01 to 0.07), and low-medium for meat quality traits related to texture (0.01 to 0.37). Medium-high heritabilities were estimated for total length and weight (0.35 and 0.50, respectively), with a very high genetic correlation between both (0.99). Regarding morphological traits, heritabilities ranged from 0.05 to 0.52 for length-related traits, from 0.15 to 0.36 for height-related traits, and from 0.22 to 0.42 for width-related traits. Cephalothorax length showed the highest heritability among all analyzed traits (0.52), with high genetic correlations with growth, flesh composition, and texture traits. The high genetic correlations found between growth and morphometric traits, and both flesh composition and texture traits suggest indirect selection as a successful, undemanding, and cost-effective method to obtain high-quality shrimps under industrial conditions.en_US
dc.languagespaen_US
dc.relation.ispartofAquacultureen_US
dc.sourceAquaculture [ISSN 0044-8486], v. 593, (Diciembre 2024)en_US
dc.subject240990 Citogenética animalen_US
dc.subject.otherFlesh Compositionen_US
dc.subject.otherHeritabilityen_US
dc.subject.otherIndirect Selectionen_US
dc.subject.otherPenaeus Vannameien_US
dc.subject.otherTextureen_US
dc.titleGenetic parameters of meat quality, external morphology, and growth traits in Pacific white shrimp (Penaeus vannamei) from an Ecuadorian populationen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.aquaculture.2024.741228en_US
dc.identifier.scopus85198103398-
dc.contributor.orcidNO DATA-
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dc.contributor.authorscopusid58187901400-
dc.contributor.authorscopusid58522048100-
dc.contributor.authorscopusid57224353358-
dc.contributor.authorscopusid58521665300-
dc.contributor.authorscopusid59212022100-
dc.contributor.authorscopusid59212625600-
dc.contributor.authorscopusid58904369000-
dc.contributor.authorscopusid58522302100-
dc.contributor.authorscopusid58521797600-
dc.contributor.authorscopusid26421312300-
dc.contributor.authorscopusid15042453800-
dc.contributor.authorscopusid58521536400-
dc.contributor.authorscopusid58187581500-
dc.contributor.authorscopusid57201126472-
dc.contributor.authorscopusid56154607000-
dc.relation.volume593en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.description.numberofpages9en_US
dc.utils.revisionen_US
dc.date.coverdateDiciembre 2024en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-VETen_US
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Grupo de Investigación en Acuicultura-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptGIR Grupo de Investigación en Acuicultura-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptGIR Grupo de Investigación en Acuicultura-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptGIR Grupo de Investigación en Acuicultura-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de Los Alimentos-
crisitem.author.deptGIR Grupo de Investigación en Acuicultura-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de Los Alimentos-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR Grupo de Investigación en Acuicultura-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de Los Alimentos-
crisitem.author.orcid0000-0002-1649-5613-
crisitem.author.orcid0000-0003-1569-9152-
crisitem.author.orcid0000-0003-3675-5205-
crisitem.author.orcid0000-0003-2876-3301-
crisitem.author.orcid0000-0002-2834-2067-
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.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.fullNameMartínez Soler, Marina-
crisitem.author.fullNameShin,Hyun Suk-
crisitem.author.fullNameLorenzo Felipe,Alvaro-
crisitem.author.fullNameZamorano Serrano, María Jesús-
crisitem.author.fullNameGinés Ruiz, Rafael-
crisitem.author.fullNamePeñate Sánchez, Adrián-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameAfonso López, Juan Manuel-
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