Literature DB >> 12597372

Estimated genetic parameters for palatability traits of steaks from Brahman cattle.

D G Riley1, C C Chase, A C Hammond, R L West, D D Johnson, T A Olson, S W Coleman.   

Abstract

Heritabilities and genetic and phenotypic correlations were estimated from carcass and beef palatability data collected from Brahman calves (n = 504) born in central Florida from 1996 to 2000. Traits evaluated included Warner-Bratzler shear force (after 7, 14, and 21 d of aging), panel tenderness score, connective tissue amount, juiciness, flavor intensity, and off flavor (after 14 d of aging), percentages of raw and cooked lipids, and milligrams per gram of muscle calpastatin activity. Parameters were estimated using an animal model and derivative-free restricted maximum likelihood procedures. Estimated heritabilities for d 7, 14, and 21 shear force were 0.14,0.14, and 0.06, respectively, indicating that improvement in these traits by selection would be slow. Estimated heritabilities of sensory panel attributes were 0.11, 0.12, 0.05, 0.04, and 0.01 for tenderness, connective tissue amount, juiciness, flavor intensity, and off flavor, respectively. The estimated heritabilities for percentages of raw and cooked lipids, and calpastatin activity were 0.34, 0.17, and 0.07, respectively. Most of the estimated genetic correlations among palatability traits and for palatability traits with fat thickness, marbling score, and loin muscle area were consistent with other estimates from the literature. Results indicated that improvement in tenderness based on selection for favorable shear force, sensory panel tenderness, or calpastatin activity would be slow; therefore, postslaughter intervention programs should also be considered.

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Year:  2003        PMID: 12597372     DOI: 10.2527/2003.81154x

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


  5 in total

1.  Genetic analysis of carcass and meat quality traits in Nelore cattle1.

Authors:  Daniel Gustavo M Gordo; Rafael Espigolan; Tiago Bresolin; Gerardo A Fernandes Júnior; Ana F B Magalhães; Camila U Braz; Willian Bruno Fernandes; Fernando Baldi; Lucia G Albuquerque
Journal:  J Anim Sci       Date:  2018-09-07       Impact factor: 3.159

2.  Comparison of breeding value prediction for two traits in a Nellore-Angus crossbred population using different Bayesian modeling methodologies.

Authors:  Lauren L Hulsman Hanna; Dorian J Garrick; Clare A Gill; Andy D Herring; James O Sanders; David G Riley
Journal:  Genet Mol Biol       Date:  2014-11-14       Impact factor: 1.771

3.  Prediction of meat quality traits in the abattoir using portable near-infrared spectrometers: heritability of predicted traits and genetic correlations with laboratory-measured traits.

Authors:  Simone Savoia; Andrea Albera; Alberto Brugiapaglia; Liliana Di Stasio; Alessio Cecchinato; Giovanni Bittante
Journal:  J Anim Sci Biotechnol       Date:  2021-03-12

4.  Genomic Approaches Reveal Pleiotropic Effects in Crossbred Beef Cattle.

Authors:  Fernanda M Rezende; Eduardo Rodriguez; Joel D Leal-Gutiérrez; Mauricio A Elzo; Dwain D Johnson; Chad Carr; Raluca G Mateescu
Journal:  Front Genet       Date:  2021-03-19       Impact factor: 4.599

5.  RNA-seq analysis identifies cytoskeletal structural genes and pathways for meat quality in beef.

Authors:  Joel D Leal-Gutiérrez; Mauricio A Elzo; Chad Carr; Raluca G Mateescu
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

  5 in total

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