|
|
| 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 : |
29/03/2021 |
Actualizado : |
29/03/2021 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
NAVAJAS, E. |
Afiliación : |
ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
The future of DNA technologies for improving beef quality: marbling, fatty acid composition and tenderness. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
In: Dikeman, M. E. (2017). Ensuring safety and quality in the production of beef Volume 2: Quality. Chapter 17, 22 p. Doi: http://dx.doi.org/10.19103/AS.2016.0009.17 |
DOI : |
10.19103/AS.2016.0009.17 |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
In this chapter, the information provided by new DNA technologies and the use of genomics in both GWAS and GS are described in detail. Because the use of genomic
information in beef breeding programmes shows its potential in improving the quality of beef, the current use of GS in beef cattle is discussed. The progress on the genomics applied to the genetic improvement of beef quality is presented here, as well as research findings for marbling, fatty acids profile and tenderness. The benefits of building large training populations and the alternatives to this, are also discussed. |
Palabras claves : |
Beef; Beef breeding programmes; Beef quality; Food production; Genome-wide association studies (GWAS); Genomic selection; Genomic selection (GS); Livestock; Meat production. |
Thesagro : |
BOVINOS PARA CARNE. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 01503naa a2200253 a 4500 001 1061872 005 2021-03-29 008 2017 bl uuuu u00u1 u #d 024 7 $a10.19103/AS.2016.0009.17$2DOI 100 1 $aNAVAJAS, E. 245 $aThe future of DNA technologies for improving beef quality$bmarbling, fatty acid composition and tenderness.$h[electronic resource] 260 $c2017 520 $aABSTRACT. In this chapter, the information provided by new DNA technologies and the use of genomics in both GWAS and GS are described in detail. Because the use of genomic information in beef breeding programmes shows its potential in improving the quality of beef, the current use of GS in beef cattle is discussed. The progress on the genomics applied to the genetic improvement of beef quality is presented here, as well as research findings for marbling, fatty acids profile and tenderness. The benefits of building large training populations and the alternatives to this, are also discussed. 650 $aBOVINOS PARA CARNE 653 $aBeef 653 $aBeef breeding programmes 653 $aBeef quality 653 $aFood production 653 $aGenome-wide association studies (GWAS) 653 $aGenomic selection 653 $aGenomic selection (GS) 653 $aLivestock 653 $aMeat production 773 $tIn: Dikeman, M. E. (2017). Ensuring safety and quality in the production of beef Volume 2: Quality. Chapter 17, 22 p. Doi: http://dx.doi.org/10.19103/AS.2016.0009.17
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registros recuperados : 3 | |
1. | | RESQUÍN, F.; DUQUE-LAZO, J.; ACOSTA-MUÑÓZ, C.; RACHID, C.; CARRASCO-LETELIER, L.; NAVARRO-CERRILLO, R.M. Modelling Current and Future Potential Habitats for Plantations of Eucalyptus grandis Hill ex Maiden and E. dunnii Maiden in Uruguay. Forests, 2020, vol. 11, Issue 9, Article 948. OPEN ACCESS. Doi: https://doi.org/10.3390/f11090948 Article history: Received: 6 July 2020; Accepted: 24 August 2020; Published: 29 August 2020.
Supplementary material.
This article belongs to the Special Issue Modeling of Species Distribution and Biodiversity in Forests -...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
| |
2. | | HIRIGOYEN, A.; ACOSTA-MUÑOZ, C.; SALAMANCA, A.J.A.; VARO-MARTINEZ, M.Á.; RACHID, C.; FRANCO, J.; NAVARRO-CERRILLO, R. A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data. Annals of Forest Research, 2021, Volume 64, Issue 2, Pages 165-183. OPEN ACCESS. doi: https://doi.org/10.15287/afr.2021.2073 Article history: Received October 27, 2020; Revised December 14, 2021; Accepted December 21, 2021.
Corresponding author: Hirigoyen, A.; National Institute of Agricultural Research (INIA), Tacuarembó, Uruguay; email:ahirigoyen@inia.org.uy...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
| |
3. | | SOUZA CONGIO, G. F. DE; BANNINK, A.; MAYORGA, MOGOLLÓN, O. L.; NICOLOV HRISTOV, A.; JAURENA, G.; GONDA, H.; GERE, J. I.; CERÓN-CUCCHI, M.E.; ORTIZ-CHURA, A.; TIERI, M.P.; HERNÁNDEZ, O.; RICCI, P.; JULIARENA, M.P.; LOMBARDI, B.; ABDALLA, A.L.; ABDALLA-FILHO, A.L.; BERNDT, A.; ANCHAO OLIVEIRA, P. P.; HENRIQUE, F. L.; GOMEZ MONTEIRO, A.L.; BORGES, L. I.; RIBEIRO-FILHO, H.M.N.; RIBEIRO PEREIRA, L.G.; RIBEIRO TOMICH, T.; MAGALHAES CAMPOS, M.; SAMARINI MACHADO, F.; MARCONDES, M. I.; ZERLOTTI MERCADANTE, M. E.; SANNOMIYA SAKAMOTO, L.; GALVAO ALBUQUERQUE, L.; FACCIO CARVALHO, P. C. DE; ROSSETTO, J.; SAVIAN, J.V.; MAZZA RODRIGUES, P. H.; PERNA JÚNIOR, F.; MOREIRA, T.S.; MAURÍCIO, R. M.; PACHECO RODRIGUES, J.P.; CRUZ BORGES, A.L. DA C.; REIS E SILVA, R.; FERREIRA LAGE, H.; ANDRADE REIS, R.; RUGGIERI, A.C.; CARDOSO, A. DA SILVA; SILVA, S. CARNEIRO DA; BARBOSA CHIAVEGATO, M.; VALADARES-FILHO, S. DE CAMPOS; SILVA, F. A. DE SALES; ZANETTI, D.; BERCHIELLI, T.T.; DUARTE MESSANA, J.; MUÑOZ, C.; ARIZA-NIETO, C.J.; SIERRA-ALARCÓN, L.I.; GUALDRÓN-DUARTE, L.B.; MESTRA-VARGAS, L.I.; MOLINA-BOTERO, I. C.; BARAHONA-ROSALES, R.; ARANGO, J.; GAVIRIA-URIBE, X.; GIRALDO VALDERRAMA, L.A.; ROSERO-NOGUERA, J.R.; POSADA-OCHOA, S.L.; ABARCA-MONGE, SERGIO; SOTO-BLANCO, R.; KU-VERA, J.C.; JIMÉNEZ-OCAMPO, R.; FLORES-SANTIAGO, E. DEL J.; CASTELÁN-ORTEGA, O.A.; VÁZQUEZ-CARRILLO, M.F.; BENAOUDA, M.; GÓMEZ-BRAVO, C. A.; ALVARADO BOLOVICH, V.I.; DÍAZ CÉSPEDES, M.A.; ASTIGARRAGA, L. Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: a meta-analysis. Journal of Cleaner Production. 2021. v. 312, art. 127693, 13 p. Doi: https://doi.org/10.1016/j.jclepro.2021.127693 Article history: Receiived 22 December 2020; Received in revised form 24 April 2021; Accepted 25 May 2021. Available online 30 May 2021.
Latin America Methane Project Collaborators está integrada por 71 investigadores en este artículo.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : -- - -- |
Biblioteca(s): INIA Treinta y Tres. |
| |
Registros recuperados : 3 | |
|
Expresión de búsqueda válido. Check! |
|
|