| |
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha : |
31/07/2017 |
|
Actualizado : |
31/07/2017 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
FEITOSA, F. L. B.; OLIVIERI, B. F.; ABOUJAOUDE, C.; PEREIRA, A. S. C.; DE LEMOS, M. V. A.; CHIAIA, H. L. J.; BERTON, M. P.; PERIPOLLI, E.; FERRINHO, A. M.; MUELLER, L. F.; MAZZALI, M. R.; DE ALBUQUERQUE, L. G.; DE OLIVERA, H. N.; TONHATI, H.; ESPIGOLAN, R.; TONUSSI, R. L.; DE OLIVIERA SILVA, R. M.; GORDO, D. G. M.; MAGALHAES, A. F. B.; AGUILAR, I.; BALDI, F. S. B. |
|
Afiliación : |
FABIELI LOISE BRAGA FEITOSA, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; BIANCA FERREIRA OLIVIERI, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; CAROLYN ABOUJAOUDE, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; ANGÉLICA SIMONE CRAVO, Faculdade de Medicina Veterinária e Zootecnia da USP, Pirassununga, Brazil; MARCOS VINICIUS ANTUNES DE LEMOS, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; HERMENEGILDO LUCAS JUSTINO CHIAIA, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; MARIANA PIATTO BERTON, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; ELISA PERIPOLLI, UNESP-Universidade Estadual Paulista, Department of Zootechnics, Sao Paulo, Brazil; ADRIELLE MATHIAS FERRINHO, Universidade de Sao Paulo - USP, Faculdade de Medicina Veterinária e Zootecnia, Sao Paulo, Brazil; LENISE FREITAS MUELLER, Universidade de Sao Paulo - USP, Faculdade de Zootecnia e Engenharia de Alimentos, Sao Paulo, Brazil; MÓNICA ROBERTA MAZALLI, Universidade de Sao Paulo - USP, Food Engineering Department, Sao Paulo, Brazil; LÚCIA GALVAO DE ALBUQUERQUE, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; HENRIQUE NUNES DE OLIVERA, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; HUMBERTO TONHATI, UNESP-Universidade Estadual Paulista, Department of Zootechnics, Sao Paulo, Brazil; RAFAEL ESPIGOLAN, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; RAFAEL LARA TONUSSI, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; RAFAEL MEDEIROS DE OLIVEIRA SILVA, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; DANIEL GUSTAVO MANSAN GORDO, UNESP-Universidade Estadual Paulista, Sao Paulo, Brazil; ANA FRABICIA BRAGA MAGALHAES, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO S. B. BALDI, UNESP-Universidade Estadual Paulista, Sao Paulo, Brazil. |
|
Título : |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot. |
|
Fecha de publicación : |
2017 |
|
Fuente / Imprenta : |
Journal of Applied Genetics, 2017, 58 (1), 123-132. |
|
ISSN : |
1234-1983 |
|
DOI : |
10.1007/s13353-016-0360-7 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received: 15 December 2015 /Revised: 10 March 2016 /Accepted: 5 July 2016 / Published Online: 30 July 2016 |
|
Contenido : |
ABSTRACT.
The objective of this study was to estimate the genetic?quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF). The fatty acid (FA) profile of the Longissimus thoracis samples was determined. Twenty-five FAs (18 individuals and seven groups of FAs) were selected due to their importance for human health. The animals were genotyped with the BovineHD BeadChip and, after quality control for single nucleotide polymorphisms (SNPs), only 470,007 SNPs from 1556 samples remained. The model included the random genetic additive direct effect, the fixed effect of the contemporary group and the animal?s slaughter age as a covariable. The (co)variances and genetic parameters were estimated using the REML method, considering an animal model (single-step GBLUP). A total of 25 multi-trait analyses, with four traits, were performed considering SF, BF and IMF plus each individual FA. The heritability estimates for individual saturated fatty acids (SFA) varied from 0.06 to 0.65, for monounsaturated fatty acids (MUFA) it varied from 0.02 to 0.14 and for polyunsaturated fatty acids (PUFA) it ranged from 0.05 to 0.68. The heritability estimates for Omega 3, Omega 6, SFA, MUFA and PUFA sum were low to moderate, varying from 0.09 to 0.20. The carcass and meat traits, SF (0.06) and IMF (0.07), had low heritability estimates, while BF (0.17) was moderate. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with BF were 0.04, 0.64 and −0.41, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with SF were 0.29, −0.06 and −0.04, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with IMF were 0.24, 0.90 and −0.67, respectively. The selection to improve meat tenderness in Nellore cattle should not change the fatty acid composition in beef, so it is possible to improve this attribute without affecting the nutritional beef quality in zebu breeds. However, selection for increased deposition of subcutaneous fat thickness and especially the percentage of intramuscular fat should lead to changes in the fat composition, highlighting a genetic antagonism between meat nutritional value and acceptability by the consumer.
© 2016, Institute of Plant Genetics, Polish Academy of Sciences, Poznan. MenosABSTRACT.
The objective of this study was to estimate the genetic?quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF). The fatty acid (FA) profile of the Longissimus thoracis samples was determined. Twenty-five FAs (18 individuals and seven groups of FAs) were selected due to their importance for human health. The animals were genotyped with the BovineHD BeadChip and, after quality control for single nucleotide polymorphisms (SNPs), only 470,007 SNPs from 1556 samples remained. The model included the random genetic additive direct effect, the fixed effect of the contemporary group and the animal?s slaughter age as a covariable. The (co)variances and genetic parameters were estimated using the REML method, considering an animal model (single-step GBLUP). A total of 25 multi-trait analyses, with four traits, were performed considering SF, BF and IMF plus each individual FA. The heritability estimates for individual saturated fatty acids (SFA) varied from 0.06 to 0.65, for monounsaturated fatty acids (MUFA) it varied from 0.02 to 0.14 and for polyunsaturated fatty acids (PUFA) it ranged from 0.05 to 0.68. The heritability estimates for Omega 3, Omega 6, SFA, MUFA and PUFA... Presentar Todo |
|
Palabras claves : |
BOS INDICUS; FAT; HUMAN HEALTH; MEAT QUALITY; MEAT TENDERNESS; SELECTION. |
|
Asunto categoría : |
L10 Genética y mejoramiento animal |
|
Marc : |
LEADER 04086naa a2200469 a 4500
001 1057428
005 2017-07-31
008 2017 bl uuuu u00u1 u #d
022 $a1234-1983
024 7 $a10.1007/s13353-016-0360-7$2DOI
100 1 $aFEITOSA, F. L. B.
245 $aGenetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot.$h[electronic resource]
260 $c2017
500 $aArticle history: Received: 15 December 2015 /Revised: 10 March 2016 /Accepted: 5 July 2016 / Published Online: 30 July 2016
520 $aABSTRACT. The objective of this study was to estimate the genetic?quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF). The fatty acid (FA) profile of the Longissimus thoracis samples was determined. Twenty-five FAs (18 individuals and seven groups of FAs) were selected due to their importance for human health. The animals were genotyped with the BovineHD BeadChip and, after quality control for single nucleotide polymorphisms (SNPs), only 470,007 SNPs from 1556 samples remained. The model included the random genetic additive direct effect, the fixed effect of the contemporary group and the animal?s slaughter age as a covariable. The (co)variances and genetic parameters were estimated using the REML method, considering an animal model (single-step GBLUP). A total of 25 multi-trait analyses, with four traits, were performed considering SF, BF and IMF plus each individual FA. The heritability estimates for individual saturated fatty acids (SFA) varied from 0.06 to 0.65, for monounsaturated fatty acids (MUFA) it varied from 0.02 to 0.14 and for polyunsaturated fatty acids (PUFA) it ranged from 0.05 to 0.68. The heritability estimates for Omega 3, Omega 6, SFA, MUFA and PUFA sum were low to moderate, varying from 0.09 to 0.20. The carcass and meat traits, SF (0.06) and IMF (0.07), had low heritability estimates, while BF (0.17) was moderate. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with BF were 0.04, 0.64 and −0.41, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with SF were 0.29, −0.06 and −0.04, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with IMF were 0.24, 0.90 and −0.67, respectively. The selection to improve meat tenderness in Nellore cattle should not change the fatty acid composition in beef, so it is possible to improve this attribute without affecting the nutritional beef quality in zebu breeds. However, selection for increased deposition of subcutaneous fat thickness and especially the percentage of intramuscular fat should lead to changes in the fat composition, highlighting a genetic antagonism between meat nutritional value and acceptability by the consumer. © 2016, Institute of Plant Genetics, Polish Academy of Sciences, Poznan.
653 $aBOS INDICUS
653 $aFAT
653 $aHUMAN HEALTH
653 $aMEAT QUALITY
653 $aMEAT TENDERNESS
653 $aSELECTION
700 1 $aOLIVIERI, B. F.
700 1 $aABOUJAOUDE, C.
700 1 $aPEREIRA, A. S. C.
700 1 $aDE LEMOS, M. V. A.
700 1 $aCHIAIA, H. L. J.
700 1 $aBERTON, M. P.
700 1 $aPERIPOLLI, E.
700 1 $aFERRINHO, A. M.
700 1 $aMUELLER, L. F.
700 1 $aMAZZALI, M. R.
700 1 $aDE ALBUQUERQUE, L. G.
700 1 $aDE OLIVERA, H. N.
700 1 $aTONHATI, H.
700 1 $aESPIGOLAN, R.
700 1 $aTONUSSI, R. L.
700 1 $aDE OLIVIERA SILVA, R. M.
700 1 $aGORDO, D. G. M.
700 1 $aMAGALHAES, A. F. B.
700 1 $aAGUILAR, I.
700 1 $aBALDI, F. S. B.
773 $tJournal of Applied Genetics, 2017, 58 (1), 123-132.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
| Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Tacuarembó. |
|
Fecha actual : |
21/02/2014 |
|
Actualizado : |
01/10/2019 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
Internacional - -- |
|
Autor : |
STEWART, J.E.; ROSS-DAVIS, A.L.; GRAÇA, R.N.; ALFENAS, A.C.; PEEVER, T.L.; HANNA, J.W.; UCHIDA, J.Y.; HAUFF, R.D.; KADOOKA, C.Y.; KIM, M.S.; CANNON, P.G.; NAMBA, S.; SIMETO, S.; PÉREZ, C.A.; RAYMAJHI, M.B.; LODGE, D.J.; ARGUEDAS, M.; MEDEL-ORTIZ, R.; LÓPEZ-RAMIREZ, M.A.; TENNANT, P.; GLEN, M.; MACHADO, P.S.; MCTAGGART, A.R.; CARNEGIE, A.J.; KLOPFENTEIN, N.B. |
|
Afiliación : |
1Department of Bioagricultural Science and Pest Management, Colorado State University, USA.; USDA Forest Service, Rocky Mountain Research Station, Moscow Forestry Sciences Laboratory, USA.; FuturaGene Brasil Tecnologia Ltda, Brazil.; Department of Plant Pathology, Universidade Federal de Viçosa, Brazil.; Department of Plant Pathology, Washington State University, USA.; USDA Forest Service, Rocky Mountain Research Station, Moscow Forestry Sciences Laboratory, USA.; Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, USA.; Division of Forestry and Wildlife, Department of Lands and Natural Resources, Honolulu, USA.; Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, Honolulu, USA.; Department of Forestry, Environment and Systems, Kookmin University, Seoul, South Korea.; USDA Forest Service, Forest Health Protection, USA.; Department of Agricultural and Environmental Biology, The University of Tokyo, Japan.; SOFIA SIMETO FERRARI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Protección Vegetal, EEMAC, Facultad de Agronomía, Universidad de la República, Paysandú, Uruguay.; USDA, Agricultural Research Service, Invasive Plant Research Laboratory, Fort Lauderdale, FL, USA.; USDA Forest Service, Northern Research Station, Luquillo, Puerto Rico.; Escuela de Ingeniería Forestal, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica.; Instituto de Investigaciones Forestales, Universidad Veracruzana, Xalapa, Mexico.; Instituto de Investigaciones Forestales, Universidad Veracruzana, Xalapa, Mexico.; The Biotechnology Centre, University of the West Indies, Mona, Jamaica.; Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia.; Department of Plant Pathology, Universidade Federal de Viçosa, Brazil.; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Australia.; NSW Department of Primary Industries, NSW Forest Science, Parramatta, Australia.; USDA Forest Service, Rocky Mountain Research Station, Moscow Forestry Sciences Laboratory, Moscow, USA. |
|
Título : |
Genetic diversity of the myrtle rust pathogen (Austropuccinia psidii) in the Americas and Hawaii: Global implications for invasive threat assessments. |
|
Fecha de publicación : |
2017 |
|
Fuente / Imprenta : |
Forest Pathology, v. 48, no. 1, 2017. |
|
DOI : |
10.1111/efp.12378 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received: 14 February 2017 // Accepted: 3 August 2017. |
|
Contenido : |
Since the myrtle rust pathogen (Austropuccinia psidii) was first reported (as Puccinia psidii) in Brazil on guava (Psidium guajava) in 1884, it has been found infecting diverse myrtaceous species. Because A. psidii has recently spread rapidly worldwide with an extensive host range, genetic and genotypic diversities were evaluated within and among A. psidii populations in its putative native range and other areas of myrtle rust emergence in the Americas and Hawaii. Microsatellite markers revealed several unique multilocus genotypes (MLGs), which grouped isolates into nine distinct genetic clusters [C1?C9 comprising C1: from diverse hosts from Costa Rica, Jamaica, Mexico, Puerto Rico, and USA-Hawaii, and USA-California; C2: from eucalypts (Eucalyptus spp.) in Brazil/Uruguay and rose apple (Syzygium jambos) in Brazil; C3: from eucalypts in Brazil; C4: from diverse hosts in USA-Florida; C5: from Java plum (Syzygium cumini) in Brazil; C6: from guava and Brazilian guava (Psidium guineense) in Brazil; C7: from pitanga (Eugenia uniflora) in Brazil; C8: from allspice (Pimenta dioica) in Jamaica and sweet flower (Myrrhinium atropurpureum) in Uruguay; C9: from jabuticaba (Myrciaria cauliflora) in Brazil]. The C1 cluster, which included a single MLG infecting diverse host in many geographic regions, and the closely related C4 cluster are considered as a ?Pandemic biotype,? associated with myrtle rust emergence in Central America, the Caribbean, USA-Florida, USA-Hawaii, Australia, China-Hainan, New Caledonia, Indonesia and Colombia. Based on 19 bioclimatic variables and documented occurrences of A. psidii contrasted with reduced sets of specific genetic clusters (subnetworks, considered as biotypes), maximum entropy bioclimatic modelling was used to predict geographic locations with suitable climate for A. psidii which are at risk from invasion. The genetic diversity of A. psidii throughout the Americas and Hawaii demonstrates the importance of recognizing biotypes when assessing the invasive threats posed by A. psidii around the globe. MenosSince the myrtle rust pathogen (Austropuccinia psidii) was first reported (as Puccinia psidii) in Brazil on guava (Psidium guajava) in 1884, it has been found infecting diverse myrtaceous species. Because A. psidii has recently spread rapidly worldwide with an extensive host range, genetic and genotypic diversities were evaluated within and among A. psidii populations in its putative native range and other areas of myrtle rust emergence in the Americas and Hawaii. Microsatellite markers revealed several unique multilocus genotypes (MLGs), which grouped isolates into nine distinct genetic clusters [C1?C9 comprising C1: from diverse hosts from Costa Rica, Jamaica, Mexico, Puerto Rico, and USA-Hawaii, and USA-California; C2: from eucalypts (Eucalyptus spp.) in Brazil/Uruguay and rose apple (Syzygium jambos) in Brazil; C3: from eucalypts in Brazil; C4: from diverse hosts in USA-Florida; C5: from Java plum (Syzygium cumini) in Brazil; C6: from guava and Brazilian guava (Psidium guineense) in Brazil; C7: from pitanga (Eugenia uniflora) in Brazil; C8: from allspice (Pimenta dioica) in Jamaica and sweet flower (Myrrhinium atropurpureum) in Uruguay; C9: from jabuticaba (Myrciaria cauliflora) in Brazil]. The C1 cluster, which included a single MLG infecting diverse host in many geographic regions, and the closely related C4 cluster are considered as a ?Pandemic biotype,? associated with myrtle rust emergence in Central America, the Caribbean, USA-Florida, USA-Hawaii, Australia, China-... Presentar Todo |
|
Thesagro : |
PATOLOGIA FORESTAL. |
|
Asunto categoría : |
H20 Enfermedades de las plantas |
|
Marc : |
LEADER 03365naa a2200445 a 4500
001 1028016
005 2019-10-01
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1111/efp.12378$2DOI
100 1 $aSTEWART, J.E.
245 $aGenetic diversity of the myrtle rust pathogen (Austropuccinia psidii) in the Americas and Hawaii$bGlobal implications for invasive threat assessments.$h[electronic resource]
260 $c2017
500 $aArticle history: Received: 14 February 2017 // Accepted: 3 August 2017.
520 $aSince the myrtle rust pathogen (Austropuccinia psidii) was first reported (as Puccinia psidii) in Brazil on guava (Psidium guajava) in 1884, it has been found infecting diverse myrtaceous species. Because A. psidii has recently spread rapidly worldwide with an extensive host range, genetic and genotypic diversities were evaluated within and among A. psidii populations in its putative native range and other areas of myrtle rust emergence in the Americas and Hawaii. Microsatellite markers revealed several unique multilocus genotypes (MLGs), which grouped isolates into nine distinct genetic clusters [C1?C9 comprising C1: from diverse hosts from Costa Rica, Jamaica, Mexico, Puerto Rico, and USA-Hawaii, and USA-California; C2: from eucalypts (Eucalyptus spp.) in Brazil/Uruguay and rose apple (Syzygium jambos) in Brazil; C3: from eucalypts in Brazil; C4: from diverse hosts in USA-Florida; C5: from Java plum (Syzygium cumini) in Brazil; C6: from guava and Brazilian guava (Psidium guineense) in Brazil; C7: from pitanga (Eugenia uniflora) in Brazil; C8: from allspice (Pimenta dioica) in Jamaica and sweet flower (Myrrhinium atropurpureum) in Uruguay; C9: from jabuticaba (Myrciaria cauliflora) in Brazil]. The C1 cluster, which included a single MLG infecting diverse host in many geographic regions, and the closely related C4 cluster are considered as a ?Pandemic biotype,? associated with myrtle rust emergence in Central America, the Caribbean, USA-Florida, USA-Hawaii, Australia, China-Hainan, New Caledonia, Indonesia and Colombia. Based on 19 bioclimatic variables and documented occurrences of A. psidii contrasted with reduced sets of specific genetic clusters (subnetworks, considered as biotypes), maximum entropy bioclimatic modelling was used to predict geographic locations with suitable climate for A. psidii which are at risk from invasion. The genetic diversity of A. psidii throughout the Americas and Hawaii demonstrates the importance of recognizing biotypes when assessing the invasive threats posed by A. psidii around the globe.
650 $aPATOLOGIA FORESTAL
700 1 $aROSS-DAVIS, A.L.
700 1 $aGRAÇA, R.N.
700 1 $aALFENAS, A.C.
700 1 $aPEEVER, T.L.
700 1 $aHANNA, J.W.
700 1 $aUCHIDA, J.Y.
700 1 $aHAUFF, R.D.
700 1 $aKADOOKA, C.Y.
700 1 $aKIM, M.S.
700 1 $aCANNON, P.G.
700 1 $aNAMBA, S.
700 1 $aSIMETO, S.
700 1 $aPÉREZ, C.A.
700 1 $aRAYMAJHI, M.B.
700 1 $aLODGE, D.J.
700 1 $aARGUEDAS, M.
700 1 $aMEDEL-ORTIZ, R.
700 1 $aLÓPEZ-RAMIREZ, M.A.
700 1 $aTENNANT, P.
700 1 $aGLEN, M.
700 1 $aMACHADO, P.S.
700 1 $aMCTAGGART, A.R.
700 1 $aCARNEGIE, A.J.
700 1 $aKLOPFENTEIN, N.B.
773 $tForest Pathology$gv. 48, no. 1, 2017.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Tacuarembó (TBO) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
