Literature DB >> 25412744

Genetic parameters for sensory traits in longissimus muscle and their associations with tenderness, marbling score, and intramuscular fat in Angus cattle.

R G Mateescu1, D J Garrick2, A J Garmyn3, D L VanOverbeke4, G G Mafi4, J M Reecy2.   

Abstract

The objective of this study was to estimate heritabilities for sensory traits and genetic correlations among sensory traits and with marbling score (MS), Warner-Bratzler shear force (WBSF), and intramuscular fat content (IMFC). Samples of LM from 2,285 Angus cattle were obtained and fabricated into steaks for laboratory analysis and 1,720 steaks were analyzed by a trained sensory panel. Restricted maximum likelihood procedures were used to obtain estimates of variance and covariance components under a multitrait animal model. Estimates of heritability for MS, IMFC, WBSF, tenderness, juiciness, and connective tissue traits were 0.67, 0.38, 0.19, 0.18, 0.06, and 0.25, respectively. The genetic correlations of MS with tenderness, juiciness, and connective tissue were estimated to be 0.57 ± 0.14, 1.00 ± 0.17, and 0.49 ± 0.13, all positive and strong. Estimated genetic correlations of IMFC with tenderness, juiciness, and connective tissue were 0.56 ± 0.16, 1.00 ± 0.21, and 0.50 ± 0.15, respectively. The genetic correlations of WBSF with tenderness, juiciness, and connective tissue were all favorable and estimated to be -0.99 ± 0.08, -0.33 ± 0.30 and -0.99 ± 0.07, respectively. Strong and positive genetic correlations were estimated between tenderness and juiciness (0.54 ± 0.28) and between connective tissue and juiciness (0.58 ± 0.26). In general, genetic correlations were large and favorable, which indicated that strong relationships exist and similar gene and gene networks may control MS, IMFC, and juiciness or WBSF, panel tenderness, and connective tissue. The results from this study confirm that MS currently used in selection breeding programs has positive genetic correlations with tenderness and juiciness and, therefore, is an effective indicator trait for the improvement of tenderness and juiciness in beef. This study also indicated that a more objective measure, particularly WBSF, a trait not easy to improve through phenotypic selection, is an excellent candidate trait for genomic selection aimed at improving eating satisfaction.

Entities:  

Keywords:  beef; genetic parameters; marbling score; sensory traits; tenderness

Mesh:

Year:  2014        PMID: 25412744     DOI: 10.2527/jas.2014-8405

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  12 in total

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2.  Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle.

Authors:  José Antonio Torres-Vázquez; Julius H J van der Werf; Samuel A Clark
Journal:  J Anim Sci       Date:  2018-11-21       Impact factor: 3.159

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Authors:  Sarah Flowers; Heather Hamblen; Joel D Leal-Gutiérrez; Mauricio A Elzo; Dwain D Johnson; Raluca G Mateescu
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4.  Heritability and genetic correlations between marbling in longissimus dorsi muscle and conventional economic traits in Nellore beef cattle.

Authors:  Marisol Londoño-Gil; Daniel Cardona-Cifuentes; Juan Diego Rodríguez; Ludmilla Costa Brunes; Claudio Ulhoa Magnabosco; Angelica Simone Cravo Pereira; Elisa Peripolli; Raysildo Barbosa Lôbo; Fernando Baldi
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6.  Transcriptomic Analysis Identifies Candidate Genes Related to Intramuscular Fat Deposition and Fatty Acid Composition in the Breast Muscle of Squabs (Columba).

Authors:  Manhong Ye; Bin Zhou; Shanshan Wei; MengMeng Ding; Xinghui Lu; Xuehao Shi; Jiatong Ding; Shengmei Yang; Wanhong Wei
Journal:  G3 (Bethesda)       Date:  2016-07-07       Impact factor: 3.154

7.  Consumer Acceptability of Intramuscular Fat.

Authors:  Damian Frank; Seon-Tea Joo; Robyn Warner
Journal:  Korean J Food Sci Anim Resour       Date:  2016-12-31       Impact factor: 2.622

8.  Effect of two non-synonymous ecto-5'-nucleotidase variants on the genetic architecture of inosine 5'-monophosphate (IMP) and its degradation products in Japanese Black beef.

Authors:  Yoshinobu Uemoto; Tsuyoshi Ohtake; Nanae Sasago; Masayuki Takeda; Tsuyoshi Abe; Hironori Sakuma; Takatoshi Kojima; Shinji Sasaki
Journal:  BMC Genomics       Date:  2017-11-13       Impact factor: 3.969

9.  Estimates of genetic parameters for chemical traits of meat quality in Japanese black cattle.

Authors:  Hironori Sakuma; Kaoru Saito; Kimiko Kohira; Fumie Ohhashi; Noriaki Shoji; Yoshinobu Uemoto
Journal:  Anim Sci J       Date:  2016-05-05       Impact factor: 1.749

10.  Network Analysis Reveals Putative Genes Affecting Meat Quality in Angus Cattle.

Authors:  Raluca G Mateescu; Dorian J Garrick; James M Reecy
Journal:  Front Genet       Date:  2017-11-06       Impact factor: 4.599

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