Genetic parameter estimations of new traits of morphological quality on gilthead seabream (Sparus aurata) by using IMAFISH_ML software
In this study, a total of 18 novel productive traits, three related to carcass [cNiT] and fifteen related to morphometric [mNiT]), were measured in gilthead seabream (Sparus aurata) using Non-invasive Technologies (NiT) as implemented in IMAFISH_ML (MatLab script). Their potential to be used in indu...
Saved in:
| Published in: | Aquaculture reports Vol. 21; p. 100883 |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01-11-2021
Elsevier |
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | In this study, a total of 18 novel productive traits, three related to carcass [cNiT] and fifteen related to morphometric [mNiT]), were measured in gilthead seabream (Sparus aurata) using Non-invasive Technologies (NiT) as implemented in IMAFISH_ML (MatLab script). Their potential to be used in industrial breeding programs were evaluated in 2348 offspring reared under different production systems (estuarine ponds, oceanic cage, inland tank) at harvest. All animals were photographed, and digitally measured and main genetic parameters were estimated. Heritability for growth traits was medium (0.25–0.37) whereas for NiT traits medium-high (0.24–0.61). In general, genetic correlations between mNiT, cNiT and growth and traits were high and positive. Image analysis artifacts such as fin unfold or shades, that may interfere in the precision of some digital measurements, were discarded as a major bias factor since heritability of NiT traits after correcting them were no significantly different from original ones. Indirect selection of growth traits through NiT traits produced a better predicted response than directly measuring Body Weight (13–23%), demonstrating that this methodological approach is highly cost-effective in terms of accuracy and data processing time.
•Genetic parameters were estimated for new technological traits defined by IMAFISH:ML software, in gilthead seabream.•High genetic correlations between novel non-invasive technological traits (NiT) with growth traits.•Direct selection of NiT traits and correlated response of body weight trait.•Format effect evaluation of unedited and edited images on estimations of genetic parameters. |
|---|---|
| AbstractList | In this study, a total of 18 novel productive traits, three related to carcass [cNiT] and fifteen related to morphometric [mNiT]), were measured in gilthead seabream (Sparus aurata) using Non-invasive Technologies (NiT) as implemented in IMAFISH_ML (MatLab script). Their potential to be used in industrial breeding programs were evaluated in 2348 offspring reared under different production systems (estuarine ponds, oceanic cage, inland tank) at harvest. All animals were photographed, and digitally measured and main genetic parameters were estimated. Heritability for growth traits was medium (0.25–0.37) whereas for NiT traits medium-high (0.24–0.61). In general, genetic correlations between mNiT, cNiT and growth and traits were high and positive. Image analysis artifacts such as fin unfold or shades, that may interfere in the precision of some digital measurements, were discarded as a major bias factor since heritability of NiT traits after correcting them were no significantly different from original ones. Indirect selection of growth traits through NiT traits produced a better predicted response than directly measuring Body Weight (13–23%), demonstrating that this methodological approach is highly cost-effective in terms of accuracy and data processing time.
•Genetic parameters were estimated for new technological traits defined by IMAFISH:ML software, in gilthead seabream.•High genetic correlations between novel non-invasive technological traits (NiT) with growth traits.•Direct selection of NiT traits and correlated response of body weight trait.•Format effect evaluation of unedited and edited images on estimations of genetic parameters. In this study, a total of 18 novel productive traits, three related to carcass [cNiT] and fifteen related to morphometric [mNiT]), were measured in gilthead seabream (Sparus aurata) using Non-invasive Technologies (NiT) as implemented in IMAFISH_ML (MatLab script). Their potential to be used in industrial breeding programs were evaluated in 2348 offspring reared under different production systems (estuarine ponds, oceanic cage, inland tank) at harvest. All animals were photographed, and digitally measured and main genetic parameters were estimated. Heritability for growth traits was medium (0.25–0.37) whereas for NiT traits medium-high (0.24–0.61). In general, genetic correlations between mNiT, cNiT and growth and traits were high and positive. Image analysis artifacts such as fin unfold or shades, that may interfere in the precision of some digital measurements, were discarded as a major bias factor since heritability of NiT traits after correcting them were no significantly different from original ones. Indirect selection of growth traits through NiT traits produced a better predicted response than directly measuring Body Weight (13–23%), demonstrating that this methodological approach is highly cost-effective in terms of accuracy and data processing time. |
| ArticleNumber | 100883 |
| Author | García-Pérez, Cathaysa Berbel, Concepción Zamorano, María Jesús Elalfy, Islam Said Manchado, Manuel Pérez-Sánchez, Jaume Arizcun, Marta Afonso, Juan Manuel Shin, Hyun Suk Armero, Eva León-Bernabeu, Sergi Lorenzo-Felipe, Álvaro |
| Author_xml | – sequence: 1 givenname: Sergi surname: León-Bernabeu fullname: León-Bernabeu, Sergi organization: Universidad de las Palmas de Gran Canaria (ULPGC), Institute of Sustainable Aquaculture and Marine Ecosystems (IU-ECOAQUA), Aquaculture Research Group (GIA) Muelle de Taliarte s/n, 35214 Telde, Las Palmas de Gran Canaria, Spain – sequence: 2 givenname: Hyun Suk surname: Shin fullname: Shin, Hyun Suk organization: Universidad de las Palmas de Gran Canaria (ULPGC), Institute of Sustainable Aquaculture and Marine Ecosystems (IU-ECOAQUA), Aquaculture Research Group (GIA) Muelle de Taliarte s/n, 35214 Telde, Las Palmas de Gran Canaria, Spain – sequence: 3 givenname: Álvaro surname: Lorenzo-Felipe fullname: Lorenzo-Felipe, Álvaro organization: Universidad de las Palmas de Gran Canaria (ULPGC), Institute of Sustainable Aquaculture and Marine Ecosystems (IU-ECOAQUA), Aquaculture Research Group (GIA) Muelle de Taliarte s/n, 35214 Telde, Las Palmas de Gran Canaria, Spain – sequence: 4 givenname: Cathaysa surname: García-Pérez fullname: García-Pérez, Cathaysa organization: Universidad de las Palmas de Gran Canaria (ULPGC), Institute of Sustainable Aquaculture and Marine Ecosystems (IU-ECOAQUA), Aquaculture Research Group (GIA) Muelle de Taliarte s/n, 35214 Telde, Las Palmas de Gran Canaria, Spain – sequence: 5 givenname: Concepción surname: Berbel fullname: Berbel, Concepción organization: Investigación y Formación Agraria y Pesquera (IFAPA, Centro El Toruño, Junta de Andalucía, Camino Tiro Pichón s/n, 11500 El Puerto de Santa María, Cádiz, Spain – sequence: 6 givenname: Islam Said surname: Elalfy fullname: Elalfy, Islam Said organization: Universidad de las Palmas de Gran Canaria (ULPGC), Institute of Sustainable Aquaculture and Marine Ecosystems (IU-ECOAQUA), Aquaculture Research Group (GIA) Muelle de Taliarte s/n, 35214 Telde, Las Palmas de Gran Canaria, Spain – sequence: 7 givenname: Eva surname: Armero fullname: Armero, Eva organization: Department of Agronomic Engineering, Technical University of Cartagena, Paseo Alfonso XIII 48, Cartagena, Spain – sequence: 8 givenname: Jaume surname: Pérez-Sánchez fullname: Pérez-Sánchez, Jaume organization: Department of Biology, Culture and Pathology of Marine Species, Instituto Torre de la Sal IATS-CSIC, venta de San Antonio-Estación, Castellón, Spain – sequence: 9 givenname: Marta surname: Arizcun fullname: Arizcun, Marta organization: Spanish Institute of Oceanography, Oceanographic of Murcia, carretera de la Azohía s/n, Puerto de Mazarrón, Murcia, Spain – sequence: 10 givenname: María Jesús surname: Zamorano fullname: Zamorano, María Jesús organization: Universidad de las Palmas de Gran Canaria (ULPGC), Institute of Sustainable Aquaculture and Marine Ecosystems (IU-ECOAQUA), Aquaculture Research Group (GIA) Muelle de Taliarte s/n, 35214 Telde, Las Palmas de Gran Canaria, Spain – sequence: 11 givenname: Manuel surname: Manchado fullname: Manchado, Manuel email: manuel.manchado@juntadeandalucia.es organization: Investigación y Formación Agraria y Pesquera (IFAPA, Centro El Toruño, Junta de Andalucía, Camino Tiro Pichón s/n, 11500 El Puerto de Santa María, Cádiz, Spain – sequence: 12 givenname: Juan Manuel surname: Afonso fullname: Afonso, Juan Manuel organization: Universidad de las Palmas de Gran Canaria (ULPGC), Institute of Sustainable Aquaculture and Marine Ecosystems (IU-ECOAQUA), Aquaculture Research Group (GIA) Muelle de Taliarte s/n, 35214 Telde, Las Palmas de Gran Canaria, Spain |
| BookMark | eNp9kctOIzEQRa0RI_GYfAEbL2GR4Eebdi9YIEQgUhCLzKytarscHHXawXZA-QG-myYZjWbFqh7SPapb95Qc9bFHQs45m3DGr69WE3hNuJkIJviwYVrLH-RESCXGisvq6L_-mIxyXjHGeC01F9UJ-XjAHkuwdAMJ1lgwUcwlrKGE2GcaPe3xnZYEoeyndUybl9jFZbDQ0dctdKHsaOzpMnTlBcHRjNAmhDW9WAzMbaawTVDgkrY7us2hX9LZ0-10tng0T3Oaoy_vkPAX-emhyzj6W8_In-n977vH8fz5YXZ3Ox_bildlfG01CAeMe2a5qoVsVMWa1nnuUWkhas-glqBdYznnoFFaaBmrlHatd62UZ2R24LoIK7NJg9G0MxGC2S9iWhpIwzs6NKrGxtoKoKlVJVA2aL0D5ZS1WmnVDix5YNkUc07o__E4M1_JmJXZJ2O-kjGHZAbVzUGFg823gMlkG7C36EJCW4Y7wrf6T20lnAE |
| CitedBy_id | crossref_primary_10_3390_jmse11112067 crossref_primary_10_1111_are_16103 crossref_primary_10_1186_s12864_023_09759_7 crossref_primary_10_1007_s10499_024_01428_0 crossref_primary_10_3389_fvets_2022_1083255 crossref_primary_10_2478_aoas_2022_0053 |
| Cites_doi | 10.1016/j.ijpe.2019.01.004 10.1111/age.12258 10.1016/j.arcontrol.2018.11.001 10.1016/j.aquaculture.2021.736462 10.1093/jas/skaa278.327 10.1111/j.1471-8286.2005.01167.x 10.1016/j.meatsci.2008.12.009 10.1016/j.aquaculture.2015.05.009 10.1016/j.aquaculture.2006.02.072 10.1111/age.12037 10.1046/j.1365-2109.2000.00393.x 10.1016/j.aquaculture.2009.07.012 10.1007/s10499-016-9985-0 10.2527/jas.2007-0359 10.1016/j.future.2020.06.055 10.1016/j.aquaculture.2008.07.005 10.1016/0144-8609(94)P4433-C 10.2527/jas.2007-0332 10.3168/jds.2017-13094 10.1016/j.compag.2020.105510 10.1007/s13353-018-0428-7 10.1016/j.jclepro.2020.125314 10.1186/1297-9686-30-1-3 10.1016/j.aquaculture.2008.10.010 10.1007/s11947-011-0556-0 10.1016/j.aquaculture.2015.04.006 10.1016/j.compag.2015.11.015 10.1016/j.aquaculture.2008.12.024 10.1016/j.aquaculture.2019.734877 |
| ContentType | Journal Article |
| Copyright | 2021 The Authors |
| Copyright_xml | – notice: 2021 The Authors |
| DBID | 6I. AAFTH AAYXX CITATION DOA |
| DOI | 10.1016/j.aqrep.2021.100883 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: http://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Agriculture |
| EISSN | 2352-5134 |
| ExternalDocumentID | oai_doaj_org_article_57e9cc4aa97542e39ecfda5d5cc8585b 10_1016_j_aqrep_2021_100883 S2352513421002994 |
| GroupedDBID | 0R~ 0SF 4.4 457 5VS 6I. AACTN AAEDT AAEDW AAFTH AAIKJ AALRI AAXUO ABMAC ACGFS ADBBV ADEZE AEXQZ AFTJW AGHFR AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ BCNDV EBS EJD FDB GROUPED_DOAJ IPNFZ KQ8 M41 M~E NCXOZ O9- OK1 RIG ROL SSZ AAHBH AAYXX ADVLN AFJKZ CITATION |
| ID | FETCH-LOGICAL-c414t-6c8a2da01f0c1572395409bdf1fe58227f0a73a8d9c111a8e3cab00458dbfdb33 |
| IEDL.DBID | DOA |
| ISSN | 2352-5134 |
| IngestDate | Tue Oct 22 15:08:14 EDT 2024 Thu Sep 26 18:18:22 EDT 2024 Tue Jul 25 20:58:59 EDT 2023 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Genetic correlation Heritability KET Gilthead seabream IMAFISH_ML Non-invasive Technology (NiT) |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c414t-6c8a2da01f0c1572395409bdf1fe58227f0a73a8d9c111a8e3cab00458dbfdb33 |
| OpenAccessLink | https://doaj.org/article/57e9cc4aa97542e39ecfda5d5cc8585b |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_57e9cc4aa97542e39ecfda5d5cc8585b crossref_primary_10_1016_j_aqrep_2021_100883 elsevier_sciencedirect_doi_10_1016_j_aqrep_2021_100883 |
| PublicationCentury | 2000 |
| PublicationDate | November 2021 2021-11-00 2021-11-01 |
| PublicationDateYYYYMMDD | 2021-11-01 |
| PublicationDate_xml | – month: 11 year: 2021 text: November 2021 |
| PublicationDecade | 2020 |
| PublicationTitle | Aquaculture reports |
| PublicationYear | 2021 |
| Publisher | Elsevier B.V Elsevier |
| Publisher_xml | – name: Elsevier B.V – name: Elsevier |
| References | Falconer D.S., Mackay T.F.C., 1996. Introducción a la Genética Cuantitativa. Acribia, Zaragoza. Gjedrem (bib19) 1997; 28 Groeneveld E., Kovac M., Mielenz N., 2010. VCE User’s Guide and Reference Manual Version 6.0. Costa, Antonucci, Pallottino, Aguzzi, Sun, Menesatti (bib7) 2011; 4 Neira, R., 2010. Breeding in aquaculture species: genetic improvement programs in developing countries. In: Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. 8. PerformFISH, 2017. Integrating Innovative Approaches for Competitive and Sustainable Performance across the Mediterranean Aquaculture Value Chain. Recovered from Ruff, Marchant, Frost (bib39) 1995; 14 AQUAEXCEL, 2013. Recovered from Elalfy, Shin, Negrín-Báez, Navarro, Zamorano, Manchado, Afonso (bib11) 2021; 537 Chavanne, Janssen, Hofherr, Contini, Haffray, Komen, Nielsen, Bargelloni (bib6) 2016; 24 Navarro, Zamorano, Hildebrandt, Gines, Aguilera, Afonso (bib29) 2009; 289 Elalfy (bib10) 2016 Afonso, Roo (bib1) 2007 Ferrari, Volpi, Settembre-Blundo, García-Muiña (bib16) 2021; 286 Navarro, Lee-Montero, Santana, Henríquez, Ferrer, Morales, Soula, Badilla, Negrín-Baez, Zamorano, Afonso (bib31) 2016; 121 Navarro, Oliva, Zamorano, Gines, Izquierdo, Astorga, Afonso (bib27) 2006; 257 Vandeputte, Fraslin, Haffray, Bestin, Allal, Kocour, Prchal, Dupont-Nivet (bib44) 2020; 519 Dassisti, Giovannini, Merla, Chimienti, Panetto (bib8) 2019; 47 Fernandes, Silva, Alvarenga, Teixeira, Silva Junior, Alves, Salles, Manduca, Turra (bib13) 2015; 446 Fernández-Palacios, H., Hernández, C.M., Fernández- Palacios, J.E., Vergara, J. M., Robaina, L. 1990. Influencia de distintas proporciones hembra: macho en la puesta de dorada (Sparus aurata L.). Ref. Actas III Congreso Nacional de Acuicultura. P 27–31. Editorial: Xunta de Galicia, A. Landín y A. Cerviño (eds.) (ISBN: 84-453-0149-7). Santiago de Compostela (La Coruña). De La Iglesia, González, García, Rivero, De Paz (bib9) 2020; 113 García-Celdrán, Ramis, Manchado, Estévez, Afonso, María-Dolores, Peñalver, Armero (bib18) 2015; 445 Knibb (bib24) 2000; 31 Cardelino, Rovira (bib5) 1987 Navarro, Badilla, Zamorano, Pasamontes, Hildebrandt, Sánchez, Afonso (bib28) 2008; 285 Janssen, Berentsen, Besson, Komen (bib22) 2017; 472 Rye, M., Gjerde, B., Gjedrem, T., 2010. Genetic improvement programs for aquaculture species in developed countries. In: Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. 8. . Lee-Montero, Navarro, Borrell, García-Celdrán, Martín, Negrín-Báez, Blanco, Armero, Berbel, Zamorano, Sánchez, Estévez, Ramis, Manchado, Afonso (bib25) 2013; 44 Navarro, Zamorano, Hildebrandt, Gines, Aguilera, Afonso (bib30) 2009; 295 Neumaier, Groeneveld (bib33) 1998; 1 Rius-Vilarrasa, Bünger, Maltin, Matthews, Roehe (bib37) 2009; 82 Kause, Paananen, Ritola, Koskinen (bib23) 2007; 85 Thorland, I., Kottaras, L., Refstie, S., Dimitroglou, A., Papaharisis, L., Rye, M., 2015b. Response to selection for harvest weight in a family based selection program of gilthead seabream (Sparus aurata). ISGA XII, Santiago de Compostela, Spain. Pérez-Ruiz, Tarrat-Martín, Sánchez-Guerrero, Valera (bib35) 2020; 174 APROMAR, 2020. La Acuicultura en España. Lee-Montero, Navarro, Negrín-Báez, Zamorano, Borrell, Berbel, Sánchez, García-Celdran, Manchado, Estévez, Armero, Afonso (bib26) 2015; 46 Vandeputte, Mauger, Dupont-Nivet (bib43) 2006; 6 Osawa, Kuchida, Hidaka, Kato (bib34) 2008; 86 Fernandes, Turra, de Alvarenga, Passafaro, Lopes, Alves, Singh, Rosa (bib14) 2020; 98 Roo, Hernandez-Cruz, Socorro, Fernandez-Palacios, Montero, Izquierdo (bib38) 2009; 287 He, Zhao, Zhao, Gao, Xu, Yang (bib21) 2018; 59 Frank, Dalenogare, Ayala (bib17) 2019; 210 Brown (bib4) 2003 Song, Bokkers, van der Tol, Groot Koerkamp, van Mourik (bib41) 2018; 101 Kause (10.1016/j.aqrep.2021.100883_bib23) 2007; 85 10.1016/j.aqrep.2021.100883_bib3 Song (10.1016/j.aqrep.2021.100883_bib41) 2018; 101 10.1016/j.aqrep.2021.100883_bib2 Navarro (10.1016/j.aqrep.2021.100883_bib29) 2009; 289 Roo (10.1016/j.aqrep.2021.100883_bib38) 2009; 287 Fernandes (10.1016/j.aqrep.2021.100883_bib14) 2020; 98 Lee-Montero (10.1016/j.aqrep.2021.100883_bib26) 2015; 46 Pérez-Ruiz (10.1016/j.aqrep.2021.100883_bib35) 2020; 174 Janssen (10.1016/j.aqrep.2021.100883_bib22) 2017; 472 Knibb (10.1016/j.aqrep.2021.100883_bib24) 2000; 31 Navarro (10.1016/j.aqrep.2021.100883_bib30) 2009; 295 Brown (10.1016/j.aqrep.2021.100883_bib4) 2003 Afonso (10.1016/j.aqrep.2021.100883_bib1) 2007 10.1016/j.aqrep.2021.100883_bib40 Elalfy (10.1016/j.aqrep.2021.100883_bib10) 2016 He (10.1016/j.aqrep.2021.100883_bib21) 2018; 59 10.1016/j.aqrep.2021.100883_bib20 Navarro (10.1016/j.aqrep.2021.100883_bib27) 2006; 257 10.1016/j.aqrep.2021.100883_bib42 Fernandes (10.1016/j.aqrep.2021.100883_bib13) 2015; 446 Ruff (10.1016/j.aqrep.2021.100883_bib39) 1995; 14 Chavanne (10.1016/j.aqrep.2021.100883_bib6) 2016; 24 Lee-Montero (10.1016/j.aqrep.2021.100883_bib25) 2013; 44 Frank (10.1016/j.aqrep.2021.100883_bib17) 2019; 210 Osawa (10.1016/j.aqrep.2021.100883_bib34) 2008; 86 Ferrari (10.1016/j.aqrep.2021.100883_bib16) 2021; 286 Costa (10.1016/j.aqrep.2021.100883_bib7) 2011; 4 10.1016/j.aqrep.2021.100883_bib36 10.1016/j.aqrep.2021.100883_bib15 Cardelino (10.1016/j.aqrep.2021.100883_bib5) 1987 Elalfy (10.1016/j.aqrep.2021.100883_bib11) 2021; 537 Navarro (10.1016/j.aqrep.2021.100883_bib31) 2016; 121 De La Iglesia (10.1016/j.aqrep.2021.100883_bib9) 2020; 113 10.1016/j.aqrep.2021.100883_bib32 García-Celdrán (10.1016/j.aqrep.2021.100883_bib18) 2015; 445 10.1016/j.aqrep.2021.100883_bib12 Neumaier (10.1016/j.aqrep.2021.100883_bib33) 1998; 1 Vandeputte (10.1016/j.aqrep.2021.100883_bib43) 2006; 6 Navarro (10.1016/j.aqrep.2021.100883_bib28) 2008; 285 Vandeputte (10.1016/j.aqrep.2021.100883_bib44) 2020; 519 Gjedrem (10.1016/j.aqrep.2021.100883_bib19) 1997; 28 Rius-Vilarrasa (10.1016/j.aqrep.2021.100883_bib37) 2009; 82 Dassisti (10.1016/j.aqrep.2021.100883_bib8) 2019; 47 |
| References_xml | – volume: 31 start-page: 11 year: 2000 end-page: 23 ident: bib24 article-title: Genetic improvement of marine fish – which method for industry? publication-title: Aquac. Res. contributor: fullname: Knibb – start-page: 215 year: 2007 end-page: 240 ident: bib1 article-title: Anomalías morfológicas en peces cultivados: heredabilidad y selección publication-title: Genética y Genómica en Acuicultura contributor: fullname: Roo – volume: 446 start-page: 303 year: 2015 end-page: 309 ident: bib13 article-title: Morphometric traits as selection criteria for carcass yield and body weight in Nile tilapia (Oreochromis niloticus L.) at five ages publication-title: Aquaculture contributor: fullname: Turra – volume: 537 year: 2021 ident: bib11 article-title: Genetic parameters for quality traits by non-invasive methods and their G x E interactions in ocean cages and estuaries on gilthead seabream ( publication-title: Aquaculture contributor: fullname: Afonso – volume: 59 start-page: 99 year: 2018 end-page: 107 ident: bib21 article-title: Random regression analysis for body weights and main morphological traits in genetically improved farmed tilapia (Oreochromis niloticus) publication-title: J. Appl. Genet. contributor: fullname: Yang – volume: 82 start-page: 94 year: 2009 end-page: 100 ident: bib37 article-title: Evaluation of video image analysis (VIA) technology to predict meat yield of sheep carcasses on-line under UK abattoir conditions publication-title: Meat Sci. contributor: fullname: Roehe – volume: 6 start-page: 265 year: 2006 end-page: 267 ident: bib43 article-title: An evaluation of allowing for mismatches as a way to manage genotyping errors in parentage assignment by exclusion publication-title: Mol. Ecol. Notes contributor: fullname: Dupont-Nivet – volume: 1 start-page: 3 year: 1998 end-page: 26 ident: bib33 article-title: Restricted maximum likelihood estimation of covariances in sparse linear models publication-title: Genet. Sel. Evol. contributor: fullname: Groeneveld – volume: 257 start-page: 309 year: 2006 end-page: 315 ident: bib27 article-title: Evaluation of PIT system as a method to tag fingerling of gilthead seabream (Sparus auratus L.): effects on growth, mortality and tag loss publication-title: Aquaculture contributor: fullname: Afonso – volume: 286 year: 2021 ident: bib16 article-title: Dynamic life cycle assessment (LCA) integrating life cycle inventory (LCI) and enterprise resource planning (ERP) in an industry 4.0 environment publication-title: J. Clean. Prod. contributor: fullname: García-Muiña – volume: 210 start-page: 15 year: 2019 end-page: 26 ident: bib17 article-title: Industry 4.0 technologies: implementation patterns in manufacturing companies publication-title: Int. J. Prod. Econ. contributor: fullname: Ayala – volume: 174 year: 2020 ident: bib35 article-title: Advances in horse morphometric measurements using LiDAR publication-title: Comput. Electron. Agric. contributor: fullname: Valera – volume: 519 year: 2020 ident: bib44 article-title: How to genetically increase fillet yield in fish: relevant genetic parameters and methods to predict genetic gain publication-title: Aquaculture contributor: fullname: Dupont-Nivet – year: 1987 ident: bib5 article-title: Mejoramiento genético animal publication-title: Hemisferio Sur contributor: fullname: Rovira – volume: 98 year: 2020 ident: bib14 article-title: Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images publication-title: J. Anim. Sci. contributor: fullname: Rosa – volume: 85 start-page: 3218 year: 2007 end-page: 3227 ident: bib23 article-title: Direct and indirect selection of visceral lipid weight, fillet weight, and fillet percentage in a rainbow trout breeding program publication-title: J. Anim. Sci. contributor: fullname: Koskinen – volume: 47 start-page: 266 year: 2019 end-page: 274 ident: bib8 article-title: An approach to support Industry 4.0 adoption in SMEs using a core-metamodel publication-title: Annu. Rev. Control contributor: fullname: Panetto – volume: 445 start-page: 33 year: 2015 end-page: 41 ident: bib18 article-title: Estimates of heritabilities and genetic correlations of growth and external skeletal deformities at different ages in a reared gilthead sea bream (Sparus aurata L.) population sourced from three broodstocks along the Spanish coasts publication-title: Aquaculture contributor: fullname: Armero – year: 2016 ident: bib10 article-title: Estudio de la segunda generación de dorada (Sparus aurata, L.) del programa de mejora genética PROGENSA® para caracteres de interés comercial e implementación de nuevas tecnologías facilitadoras, bajo condiciones industriales de cultivo contributor: fullname: Elalfy – volume: 295 start-page: 183 year: 2009 end-page: 187 ident: bib30 article-title: Estimates of heritabilities and genetic correlations for body composition traits and G×E interactions, in gilthead seabream (Sparus auratus L.) publication-title: Aquaculture contributor: fullname: Afonso – volume: 121 start-page: 66 year: 2016 end-page: 73 ident: bib31 article-title: IMAFISH_ML: a fully-automated image analysis software for assessing fish morphometric traits on gilthead seabream (Sparus aurata L.), meagre (Argyrosomus regius) and red porgy (Pagrus pagrus) publication-title: Comput. Electron. Agric. contributor: fullname: Afonso – volume: 24 start-page: 1287 year: 2016 end-page: 1307 ident: bib6 article-title: A comprehensive survey on selective breeding programs and seed market in the European aquaculture fish industry publication-title: Aquac. Int. contributor: fullname: Bargelloni – volume: 4 start-page: 116 year: 2011 end-page: 123 ident: bib7 article-title: Shape analysis of agricultural products: a review of recent research advances and potential application to computer vision publication-title: Food Bioproc. Technol. contributor: fullname: Menesatti – volume: 289 start-page: 225 year: 2009 end-page: 230 ident: bib29 article-title: Estimates of heritabilities and genetic correlations for growth and carcass traits in gilthead seabream (Sparus auratus L.), under industrial conditions publication-title: Aquaculture contributor: fullname: Afonso – start-page: 197 year: 2003 ident: bib4 article-title: Genetic Management and Selective Breeding in Farmed Populations of Gilthead Seabream (Sparus aurata) contributor: fullname: Brown – volume: 14 start-page: 155 year: 1995 end-page: 173 ident: bib39 article-title: Fish sizing and monitoring using a stereo image analysis system applied to fish farming publication-title: Aquac. Eng. contributor: fullname: Frost – volume: 44 start-page: 533 year: 2013 end-page: 546 ident: bib25 article-title: Development of the first standardised panel of two new microsatellites multiplex PCRs for gilthead seabream (Sparus aurata L.) publication-title: Anim. Genet. contributor: fullname: Afonso – volume: 287 start-page: 84 year: 2009 end-page: 93 ident: bib38 article-title: Effect of DHA content in rotifers on the occurrence of skeletal deformities in red porgy Pagrus pagrus (Linnaeus, 1758) publication-title: Aquaculture contributor: fullname: Izquierdo – volume: 113 start-page: 318 year: 2020 end-page: 328 ident: bib9 article-title: Non-invasive automatic beef carcass classification based on sensor network and image analysis publication-title: Future Gener. Comput. Syst. contributor: fullname: De Paz – volume: 101 start-page: 4448 year: 2018 end-page: 4459 ident: bib41 article-title: Automated body weight prediction of dairy cows using 3-dimensional vision publication-title: J. Dairy Sci. contributor: fullname: van Mourik – volume: 86 start-page: 40 year: 2008 end-page: 46 ident: bib34 article-title: Genetic parameters for image analysis traits on M. longissimus thoracis and M. trapezius of carcass cross section in Japanese Black steers publication-title: J. Anim. Sci. contributor: fullname: Kato – volume: 28 start-page: 33 year: 1997 end-page: 45 ident: bib19 article-title: Selective breeding to improve aquaculture production publication-title: World Aquac. contributor: fullname: Gjedrem – volume: 285 start-page: 30 year: 2008 end-page: 37 ident: bib28 article-title: Development of two new microsatellite multiplex PCRs for three sparid species: Gilthead seabream (Sparus auratus L.), red porgy (Pagrus pagrus L.) and redbanded seabream (P. auriga, Valenciennes, 1843) and their application to paternity studies publication-title: Aquaculture contributor: fullname: Afonso – volume: 46 start-page: 164 year: 2015 end-page: 174 ident: bib26 article-title: Genetic parameters and genotype-environment interactions for skeleton deformities and growth traits at different ages on gilthead seabream (Sparus aurata L.) in four Spanish regions publication-title: Anim. Genet. contributor: fullname: Afonso – volume: 472 start-page: 8 year: 2017 end-page: 16 ident: bib22 article-title: Derivation of economic values for production traits in aquaculture publication-title: Genet. Sel. Evol. GSE contributor: fullname: Komen – ident: 10.1016/j.aqrep.2021.100883_bib3 – ident: 10.1016/j.aqrep.2021.100883_bib20 – volume: 210 start-page: 15 year: 2019 ident: 10.1016/j.aqrep.2021.100883_bib17 article-title: Industry 4.0 technologies: implementation patterns in manufacturing companies publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2019.01.004 contributor: fullname: Frank – volume: 46 start-page: 164 year: 2015 ident: 10.1016/j.aqrep.2021.100883_bib26 article-title: Genetic parameters and genotype-environment interactions for skeleton deformities and growth traits at different ages on gilthead seabream (Sparus aurata L.) in four Spanish regions publication-title: Anim. Genet. doi: 10.1111/age.12258 contributor: fullname: Lee-Montero – volume: 47 start-page: 266 year: 2019 ident: 10.1016/j.aqrep.2021.100883_bib8 article-title: An approach to support Industry 4.0 adoption in SMEs using a core-metamodel publication-title: Annu. Rev. Control doi: 10.1016/j.arcontrol.2018.11.001 contributor: fullname: Dassisti – volume: 537 year: 2021 ident: 10.1016/j.aqrep.2021.100883_bib11 article-title: Genetic parameters for quality traits by non-invasive methods and their G x E interactions in ocean cages and estuaries on gilthead seabream (Sparus aurata) publication-title: Aquaculture doi: 10.1016/j.aquaculture.2021.736462 contributor: fullname: Elalfy – volume: 98 year: 2020 ident: 10.1016/j.aqrep.2021.100883_bib14 article-title: Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images publication-title: J. Anim. Sci. doi: 10.1093/jas/skaa278.327 contributor: fullname: Fernandes – volume: 6 start-page: 265 issue: 1 year: 2006 ident: 10.1016/j.aqrep.2021.100883_bib43 article-title: An evaluation of allowing for mismatches as a way to manage genotyping errors in parentage assignment by exclusion publication-title: Mol. Ecol. Notes doi: 10.1111/j.1471-8286.2005.01167.x contributor: fullname: Vandeputte – volume: 82 start-page: 94 year: 2009 ident: 10.1016/j.aqrep.2021.100883_bib37 article-title: Evaluation of video image analysis (VIA) technology to predict meat yield of sheep carcasses on-line under UK abattoir conditions publication-title: Meat Sci. doi: 10.1016/j.meatsci.2008.12.009 contributor: fullname: Rius-Vilarrasa – year: 2016 ident: 10.1016/j.aqrep.2021.100883_bib10 contributor: fullname: Elalfy – volume: 446 start-page: 303 year: 2015 ident: 10.1016/j.aqrep.2021.100883_bib13 article-title: Morphometric traits as selection criteria for carcass yield and body weight in Nile tilapia (Oreochromis niloticus L.) at five ages publication-title: Aquaculture doi: 10.1016/j.aquaculture.2015.05.009 contributor: fullname: Fernandes – volume: 257 start-page: 309 year: 2006 ident: 10.1016/j.aqrep.2021.100883_bib27 article-title: Evaluation of PIT system as a method to tag fingerling of gilthead seabream (Sparus auratus L.): effects on growth, mortality and tag loss publication-title: Aquaculture doi: 10.1016/j.aquaculture.2006.02.072 contributor: fullname: Navarro – year: 1987 ident: 10.1016/j.aqrep.2021.100883_bib5 article-title: Mejoramiento genético animal contributor: fullname: Cardelino – volume: 44 start-page: 533 year: 2013 ident: 10.1016/j.aqrep.2021.100883_bib25 article-title: Development of the first standardised panel of two new microsatellites multiplex PCRs for gilthead seabream (Sparus aurata L.) publication-title: Anim. Genet. doi: 10.1111/age.12037 contributor: fullname: Lee-Montero – ident: 10.1016/j.aqrep.2021.100883_bib32 – volume: 31 start-page: 11 year: 2000 ident: 10.1016/j.aqrep.2021.100883_bib24 article-title: Genetic improvement of marine fish – which method for industry? publication-title: Aquac. Res. doi: 10.1046/j.1365-2109.2000.00393.x contributor: fullname: Knibb – volume: 295 start-page: 183 year: 2009 ident: 10.1016/j.aqrep.2021.100883_bib30 article-title: Estimates of heritabilities and genetic correlations for body composition traits and G×E interactions, in gilthead seabream (Sparus auratus L.) publication-title: Aquaculture doi: 10.1016/j.aquaculture.2009.07.012 contributor: fullname: Navarro – volume: 24 start-page: 1287 year: 2016 ident: 10.1016/j.aqrep.2021.100883_bib6 article-title: A comprehensive survey on selective breeding programs and seed market in the European aquaculture fish industry publication-title: Aquac. Int. doi: 10.1007/s10499-016-9985-0 contributor: fullname: Chavanne – volume: 86 start-page: 40 year: 2008 ident: 10.1016/j.aqrep.2021.100883_bib34 article-title: Genetic parameters for image analysis traits on M. longissimus thoracis and M. trapezius of carcass cross section in Japanese Black steers publication-title: J. Anim. Sci. doi: 10.2527/jas.2007-0359 contributor: fullname: Osawa – start-page: 215 year: 2007 ident: 10.1016/j.aqrep.2021.100883_bib1 article-title: Anomalías morfológicas en peces cultivados: heredabilidad y selección contributor: fullname: Afonso – volume: 113 start-page: 318 year: 2020 ident: 10.1016/j.aqrep.2021.100883_bib9 article-title: Non-invasive automatic beef carcass classification based on sensor network and image analysis publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2020.06.055 contributor: fullname: De La Iglesia – volume: 285 start-page: 30 issue: 1 year: 2008 ident: 10.1016/j.aqrep.2021.100883_bib28 article-title: Development of two new microsatellite multiplex PCRs for three sparid species: Gilthead seabream (Sparus auratus L.), red porgy (Pagrus pagrus L.) and redbanded seabream (P. auriga, Valenciennes, 1843) and their application to paternity studies publication-title: Aquaculture doi: 10.1016/j.aquaculture.2008.07.005 contributor: fullname: Navarro – volume: 14 start-page: 155 year: 1995 ident: 10.1016/j.aqrep.2021.100883_bib39 article-title: Fish sizing and monitoring using a stereo image analysis system applied to fish farming publication-title: Aquac. Eng. doi: 10.1016/0144-8609(94)P4433-C contributor: fullname: Ruff – volume: 85 start-page: 3218 year: 2007 ident: 10.1016/j.aqrep.2021.100883_bib23 article-title: Direct and indirect selection of visceral lipid weight, fillet weight, and fillet percentage in a rainbow trout breeding program publication-title: J. Anim. Sci. doi: 10.2527/jas.2007-0332 contributor: fullname: Kause – ident: 10.1016/j.aqrep.2021.100883_bib15 – ident: 10.1016/j.aqrep.2021.100883_bib36 – ident: 10.1016/j.aqrep.2021.100883_bib2 – volume: 101 start-page: 4448 issue: 5 year: 2018 ident: 10.1016/j.aqrep.2021.100883_bib41 article-title: Automated body weight prediction of dairy cows using 3-dimensional vision publication-title: J. Dairy Sci. doi: 10.3168/jds.2017-13094 contributor: fullname: Song – volume: 174 year: 2020 ident: 10.1016/j.aqrep.2021.100883_bib35 article-title: Advances in horse morphometric measurements using LiDAR publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2020.105510 contributor: fullname: Pérez-Ruiz – volume: 472 start-page: 8 year: 2017 ident: 10.1016/j.aqrep.2021.100883_bib22 article-title: Derivation of economic values for production traits in aquaculture publication-title: Genet. Sel. Evol. GSE contributor: fullname: Janssen – ident: 10.1016/j.aqrep.2021.100883_bib40 – ident: 10.1016/j.aqrep.2021.100883_bib42 – volume: 59 start-page: 99 year: 2018 ident: 10.1016/j.aqrep.2021.100883_bib21 article-title: Random regression analysis for body weights and main morphological traits in genetically improved farmed tilapia (Oreochromis niloticus) publication-title: J. Appl. Genet. doi: 10.1007/s13353-018-0428-7 contributor: fullname: He – volume: 286 year: 2021 ident: 10.1016/j.aqrep.2021.100883_bib16 article-title: Dynamic life cycle assessment (LCA) integrating life cycle inventory (LCI) and enterprise resource planning (ERP) in an industry 4.0 environment publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2020.125314 contributor: fullname: Ferrari – volume: 1 start-page: 3 year: 1998 ident: 10.1016/j.aqrep.2021.100883_bib33 article-title: Restricted maximum likelihood estimation of covariances in sparse linear models publication-title: Genet. Sel. Evol. doi: 10.1186/1297-9686-30-1-3 contributor: fullname: Neumaier – volume: 28 start-page: 33 year: 1997 ident: 10.1016/j.aqrep.2021.100883_bib19 article-title: Selective breeding to improve aquaculture production publication-title: World Aquac. contributor: fullname: Gjedrem – volume: 287 start-page: 84 year: 2009 ident: 10.1016/j.aqrep.2021.100883_bib38 article-title: Effect of DHA content in rotifers on the occurrence of skeletal deformities in red porgy Pagrus pagrus (Linnaeus, 1758) publication-title: Aquaculture doi: 10.1016/j.aquaculture.2008.10.010 contributor: fullname: Roo – ident: 10.1016/j.aqrep.2021.100883_bib12 – volume: 4 start-page: 116 year: 2011 ident: 10.1016/j.aqrep.2021.100883_bib7 article-title: Shape analysis of agricultural products: a review of recent research advances and potential application to computer vision publication-title: Food Bioproc. Technol. doi: 10.1007/s11947-011-0556-0 contributor: fullname: Costa – volume: 445 start-page: 33 year: 2015 ident: 10.1016/j.aqrep.2021.100883_bib18 article-title: Estimates of heritabilities and genetic correlations of growth and external skeletal deformities at different ages in a reared gilthead sea bream (Sparus aurata L.) population sourced from three broodstocks along the Spanish coasts publication-title: Aquaculture doi: 10.1016/j.aquaculture.2015.04.006 contributor: fullname: García-Celdrán – volume: 121 start-page: 66 year: 2016 ident: 10.1016/j.aqrep.2021.100883_bib31 article-title: IMAFISH_ML: a fully-automated image analysis software for assessing fish morphometric traits on gilthead seabream (Sparus aurata L.), meagre (Argyrosomus regius) and red porgy (Pagrus pagrus) publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2015.11.015 contributor: fullname: Navarro – start-page: 197 year: 2003 ident: 10.1016/j.aqrep.2021.100883_bib4 contributor: fullname: Brown – volume: 289 start-page: 225 year: 2009 ident: 10.1016/j.aqrep.2021.100883_bib29 article-title: Estimates of heritabilities and genetic correlations for growth and carcass traits in gilthead seabream (Sparus auratus L.), under industrial conditions publication-title: Aquaculture doi: 10.1016/j.aquaculture.2008.12.024 contributor: fullname: Navarro – volume: 519 year: 2020 ident: 10.1016/j.aqrep.2021.100883_bib44 article-title: How to genetically increase fillet yield in fish: relevant genetic parameters and methods to predict genetic gain publication-title: Aquaculture doi: 10.1016/j.aquaculture.2019.734877 contributor: fullname: Vandeputte |
| SSID | ssj0001738124 |
| Score | 2.3161666 |
| Snippet | In this study, a total of 18 novel productive traits, three related to carcass [cNiT] and fifteen related to morphometric [mNiT]), were measured in gilthead... |
| SourceID | doaj crossref elsevier |
| SourceType | Open Website Aggregation Database Publisher |
| StartPage | 100883 |
| SubjectTerms | Genetic correlation Gilthead seabream Heritability IMAFISH_ML KET Non-invasive Technology (NiT) |
| Title | Genetic parameter estimations of new traits of morphological quality on gilthead seabream (Sparus aurata) by using IMAFISH_ML software |
| URI | https://dx.doi.org/10.1016/j.aqrep.2021.100883 https://doaj.org/article/57e9cc4aa97542e39ecfda5d5cc8585b |
| Volume | 21 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9NADB7BnuCAeIrCgnzgABKRkkweM8cCW3UllktB4jbyvKpFtIU-hPYP8LvXnklW5QIXjnloEtke-3Nifxbile065WONBYXKWDRO2QJtLQtp-8rW2snYcb_zfNF_-qo-nDFNzs2oL64Jy_TAWXCUsAftXIOoeVZrkDq46LH1rXP8S8sm71t2R8lU-rrSS45cabJcS9lWJZuRcigVd-HPbWC2yrriMgGl5B9hKbH3H0Wno4gzuy_uDVARpvkVH4hbYf1Q3J0utwNdRngkfjNrNF0GZvBecWULMGtGbkfcwSYCoWbgMRD7dLTakFhHdwe5ofIKNmtYXn4nJIgeyPIpScYVvF7Qmocd4IFsBN-AvQKukV_C-cV0dr6Ym4uPsCMf_gu34bH4Mjv7_H5eDJMVCtdUzb7onMLaY1nF0lVtX0tNwE1bH6sYWoIMfSyxl6i8duQLUQXpkPd3q7yN3kr5RJysN-vwVAClk1WD2tLmd2mcGTIFYG1VGXTprJuIt6NgzY9MoGHGyrJvJunBsB5M1sNEvGPh39zK7NfpBNmEGWzC_MsmJqIbVWcGIJEBAi11-benP_sfT38u7vCSuWHxVJzst4fwQtze-cPLZKTXgnHtDw |
| link.rule.ids | 315,782,786,866,2106,27933,27934 |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Genetic+parameter+estimations+of+new+traits+of+morphological+quality+on+gilthead+seabream+%28Sparus+aurata%29+by+using+IMAFISH_ML+software&rft.jtitle=Aquaculture+reports&rft.au=Le%C3%B3n-Bernabeu%2C+Sergi&rft.au=Shin%2C+Hyun+Suk&rft.au=Lorenzo-Felipe%2C+%C3%81lvaro&rft.au=Garc%C3%ADa-P%C3%A9rez%2C+Cathaysa&rft.date=2021-11-01&rft.pub=Elsevier+B.V&rft.issn=2352-5134&rft.eissn=2352-5134&rft.volume=21&rft_id=info:doi/10.1016%2Fj.aqrep.2021.100883&rft.externalDocID=S2352513421002994 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2352-5134&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2352-5134&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2352-5134&client=summon |