Literature DB >> 36068366

Heritability and genetic correlations between marbling in longissimus dorsi muscle and conventional economic traits in Nellore beef cattle.

Marisol Londoño-Gil1, Daniel Cardona-Cifuentes2, Juan Diego Rodríguez3, Ludmilla Costa Brunes4, Claudio Ulhoa Magnabosco5, Angelica Simone Cravo Pereira6, Elisa Peripolli6, Raysildo Barbosa Lôbo7, Fernando Baldi2.   

Abstract

In Nellore beef cattle, studies addressing genetic correlations between ultrasound marbling content and other economically important traits are still incipient. Therefore, this work aimed to estimate heritability and genetic correlations between ultrasound marbling content in the longissimus dorsi muscle (MARB) and growth, reproductive, feed efficiency, and carcass-related traits in a Nellore beef cattle population from Brazil. Phenotypic records of 614,395 Nellore animals were used and included adjusted weight at 210 (W210) and 450 (W450) days of age, adult cow weight (AW), early heifer pregnancy (EH), stayability (STAY), adjusted scrotal circumference at 365 days of age (SC365), ribeye area (REA), subcutaneous backfat thickness (BF), rump fat thickness (RF), and marbling (MARB). The genetic parameters for all traits but EH and STAY were estimated considering a linear animal model, whereas for those two nonlinear traits, a threshold animal model was used. The direct and correlated response to selection for MARB versus the other traits, and the relative efficiency of selection, were also calculated. The heritability estimate for MARB was 0.31 and for the other conventional evaluated traits was low to moderate, with values ranging from 0.14 to 0.41. The genetic correlations between MARB and growth, reproductive, feed efficiency, and carcass-related trait were very low, with values close to zero, with similar correlated responses. The MARB displayed adequate genetic variability to respond to selection and crossbreeding programs looking forward to higher meat quality and differential market standards for the Nellore beef. The selection for growth, reproductive, feed efficiency, and carcass-related traits would not affect MARB in Nellore beef cattle and vice versa. Therefore, this trait should be included as a selection criterion in the Nellore breeding program.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Genetic parameters; Genetic variation; Intramuscular fat content; Meat quality

Mesh:

Year:  2022        PMID: 36068366     DOI: 10.1007/s11250-022-03293-6

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.893


  20 in total

1.  Genetic correlation estimates between ultrasound measurements on yearling bulls and carcass measurements on finished steers.

Authors:  C J Devitt; J W Wilton
Journal:  J Anim Sci       Date:  2001-11       Impact factor: 3.159

2.  Accuracy of predicting weight and percentage of beef carcass retail product using ultrasound and live animal measures.

Authors:  S P Greiner; G H Rouse; D E Wilson; L V Cundiff; T L Wheeler
Journal:  J Anim Sci       Date:  2003-02       Impact factor: 3.159

3.  Longitudinal muscle gene expression patterns associated with differential intramuscular fat in cattle.

Authors:  N J Hudson; A Reverter; P L Greenwood; B Guo; L M Cafe; B P Dalrymple
Journal:  Animal       Date:  2014-11-13       Impact factor: 3.240

4.  Genomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle.

Authors:  L C Brunes; F Baldi; F B Lopes; M G Narciso; R B Lobo; R Espigolan; M F O Costa; C U Magnabosco
Journal:  Animal       Date:  2020-12-24       Impact factor: 3.240

5.  Genetic association between different criteria to define sexual precocious heifers with growth, carcass, reproductive and feed efficiency indicator traits in Nellore cattle using genomic information.

Authors:  Martin Bonamy; Sabrina Kluska; Elisa Peripolli; Marcos Vinícius Antunes de Lemos; Sabrina Thaise Amorim; Roberto Jose Vaca; Raysildo Barbosa Lôbo; Letícia Mendes de Castro; Carina Ubirajara de Faria; Fabio Borba Ferrari; Fernando Baldi
Journal:  J Anim Breed Genet       Date:  2018-11-21       Impact factor: 2.380

6.  Genetic parameters for fertility and production traits in Red Angus cattle.

Authors:  Ryan J Boldt; Scott E Speidel; Milton G Thomas; R Mark Enns
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

7.  Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers.

Authors:  J F Hocquette; F Gondret; E Baéza; F Médale; C Jurie; D W Pethick
Journal:  Animal       Date:  2010-02       Impact factor: 3.240

8.  Genetic association between body composition measured by ultrasound and visual scores in Brazilian Nelore cattle.

Authors:  D G M Gordo; F Baldi; R B Lôbo; W Koury Filho; R D Sainz; L G Albuquerque
Journal:  J Anim Sci       Date:  2012-08-02       Impact factor: 3.159

9.  Weighted single-step genome-wide association study and pathway analyses for feed efficiency traits in Nellore cattle.

Authors:  Ludmilla C Brunes; Fernando Baldi; Fernando B Lopes; Raysildo B Lôbo; Rafael Espigolan; Marcos F O Costa; Nedenia B Stafuzza; Cláudio U Magnabosco
Journal:  J Anim Breed Genet       Date:  2020-07-12       Impact factor: 2.380

10.  Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot.

Authors:  Fabieli Loise Braga Feitosa; Bianca Ferreira Olivieri; Carolyn Aboujaoude; Angélica Simone Cravo Pereira; Marcos Vinicius Antunes de Lemos; Hermenegildo Lucas Justino Chiaia; Mariana Piatto Berton; Elisa Peripolli; Adrielle Matias Ferrinho; Lenise Freitas Mueller; Mônica Roberta Mazalli; Lucia Galvão de Albuquerque; Henrique Nunes de Oliveira; Humberto Tonhati; Rafael Espigolan; Rafael Lara Tonussi; Rafael Medeiros de Oliveira Silva; Daniel Gustavo Mansan Gordo; Ana Fabrícia Braga Magalhães; Ignacio Aguilar; Fernando Baldi
Journal:  J Appl Genet       Date:  2016-07-30       Impact factor: 3.240

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