Literature DB >> 12008662

Estimated genetic parameters for carcass traits of 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 feedlot and carcass data collected from Brahman calves (n = 504) in central Florida from 1996 to 2000. Data were analyzed using animal models in MTDFREML. Models included contemporary group (n = 44; groups of calves of the same sex, fed in the same pen, slaughtered on the same day) as a fixed effect and calf age in days at slaughter as a continuous variable. Estimated feedlot trait heritabilities were 0.64, 0.67, 0.47, and 0.26 for ADG, hip height at slaughter, slaughter weight, and shrink. The USDA yield grade estimated heritability was 0.71; heritabilities for component traits of yield grade, including hot carcass weight, adjusted 12th rib backfat thickness, loin muscle area, and percentage kidney, pelvic, and heart fat were 0.55, 0.63, 0.44, and 0.46, respectively. Heritability estimates for dressing percentage, marbling score, USDA quality grade, cutability, retail yield, and carcass hump height were 0.77, 0.44, 0.47, 0.71, 0.5, and 0.54, respectively. Estimated genetic correlations of adjusted 12th rib backfat thickness with ADG, slaughter weight, marbling score, percentage kidney, pelvic, and heart fat, and yield grade (0.49, 0.46, 0.56, 0.63, and 0.93, respectively) were generally larger than most literature estimates. Estimated genetic correlations of marbling score with ADG, percentage shrink, loin muscle area, percentage kidney, pelvic, and heart fat, USDA yield grade, cutability, retail yield, and carcass hump height were 0.28, 0.49, 0.44, 0.27, 0.45, -0.43, 0.27, and 0.43, respectively. Results indicate that sufficient genetic variation exists within the Brahman breed for design and implementation of effective selection programs for important carcass quality and yield traits.

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Year:  2002        PMID: 12008662     DOI: 10.2527/2002.804955x

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


  11 in total

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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.  Random-effect meta-analysis of genetic parameter estimates for carcass and meat quality traits in beef cattle.

Authors:  Giovanni Coelho Ladeira; José Teodoro de Paiva; Hinayah Rojas de Oliveira; Eula Regina Carrara; Fabrício Pilonetto; Felipe André Oliveira Freitas; Elisangela Chicaroni de Mattos; Joanir Pereira Eler; José Bento Sterman Ferraz; Leila de Genova Gaya
Journal:  Trop Anim Health Prod       Date:  2021-07-30       Impact factor: 1.559

3.  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

4.  Fatty acid profile, mineral content, and palatability of beef from a multibreed Angus-Brahman population.

Authors:  Sarah Flowers; Heather Hamblen; Joel D Leal-Gutiérrez; Mauricio A Elzo; Dwain D Johnson; Raluca G Mateescu
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

5.  Dressing percentage and the differential between live weight and carcass weight in cattle are influenced by both genetic and non-genetic factors1.

Authors:  Jessica M Coyne; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

6.  Analysis of genetic correlations of hip height with selection indices and mature weight in Nelore cattle.

Authors:  A A Boligon; R Carvalheiro; D R Ayres; L G Albuquerque
Journal:  J Appl Genet       Date:  2012-11-09       Impact factor: 3.240

7.  Determination of the optimum contribution of Brahman genetics in an Angus-Brahman multibreed herd for regulation of body temperature during hot weather.

Authors:  Serdal Dikmen; Raluca G Mateescu; Mauricio A Elzo; Peter J Hansen
Journal:  J Anim Sci       Date:  2018-06-04       Impact factor: 3.159

8.  Genetic, management, and nutritional factors affecting intramuscular fat deposition in beef cattle - A review.

Authors:  Seung Ju Park; Seok-Hyeon Beak; Da Jin Sol Jung; Sang Yeob Kim; In Hyuk Jeong; Min Yu Piao; Hyeok Joong Kang; Dilla Mareistia Fassah; Sang Weon Na; Seon Pil Yoo; Myunggi Baik
Journal:  Asian-Australas J Anim Sci       Date:  2018-05-31       Impact factor: 2.509

9.  Genome-Wide Association Study of Meat Quality Traits in Hanwoo Beef Cattle Using Imputed Whole-Genome Sequence Data.

Authors:  Mohammed Bedhane; Julius van der Werf; Cedric Gondro; Naomi Duijvesteijn; Dajeong Lim; Byoungho Park; Mi Na Park; Roh Seung Hee; Samuel Clark
Journal:  Front Genet       Date:  2019-11-29       Impact factor: 4.599

10.  Genetic Parameter Estimates of Carcass Traits under National Scale Breeding Scheme for Beef Cattle.

Authors:  ChangHee Do; ByungHo Park; SiDong Kim; TaeJung Choi; BohSuk Yang; SuBong Park; HyungJun Song
Journal:  Asian-Australas J Anim Sci       Date:  2016-03-22       Impact factor: 2.509

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