Literature DB >> 23568619

Genetic parameters for type classification of Nelore cattle on central performance tests at pasture in Brazil.

Paulo Ricardo Martins Lima1, Samuel Rezende Paiva, Jaime Araujo Cobuci, José Braccini Neto, Carlos Henrique Cavallari Machado, Concepta McManus.   

Abstract

The objective of this study was to characterize Nelore cattle on central performance tests in pasture, ranked by the visual classification method EPMURAS (structure, precocity, muscle, navel, breed, posture, and sexual characteristics), and to estimate genetic and phenotypic correlations between these parameters, including visual as well as production traits (initial and final weight on test, weight gain, and weight corrected for 550 days). The information used in the study was obtained on 21,032 Nelore bulls which were participants in the central performance test at pasture of the Brazilian Association for Zebu Breeders (ABCZ). Heritabilities obtained were from 0.19 to 0.50. Phenotypic correlations were positive from 0.70 to 0.97 between the weight traits, from 0.65 to 0.74 between visual characteristics, and from 0.29 to 0.47 between visual characteristics and weight traits. The genetic correlations were positive ranging from 0.80 to 0.98 between the characteristics of structure, precocity and musculature, from 0.13 to 0.64 between the growth characteristics, and from 0.41 to 0.97 between visual scores and weight gains. Heritability and genetic correlations indicate that the use of visual scores, along with the selection for growth characteristics, can bring positive results in selection of beef cattle for rearing on pasture.

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Year:  2013        PMID: 23568619     DOI: 10.1007/s11250-013-0408-1

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.559


  4 in total

1.  Genetic parameters of feed intake, production, body weight, body condition score, and selected type traits of Holstein cows in commercial tie-stall barns.

Authors:  J E Vallimont; C D Dechow; J M Daubert; M W Dekleva; J W Blum; C M Barlieb; W Liu; G A Varga; A J Heinrichs; C R Baumrucker
Journal:  J Dairy Sci       Date:  2010-10       Impact factor: 4.034

2.  Genetic correlations between categorical morphological traits in Nelore cattle by applying Bayesian analysis under a threshold animal model.

Authors:  C U Faria; B C Pires; A P Vozzi; C U Magnabosco; W Koury Filho; M A O Viu; H N Oliveira; R B Lôbo
Journal:  J Anim Breed Genet       Date:  2010-10       Impact factor: 2.380

Review 3.  Production systems--an example from Brazil.

Authors:  José Bento Sterman Ferraz; Pedro Eduardo de Felício
Journal:  Meat Sci       Date:  2009-06-08       Impact factor: 5.209

4.  Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle.

Authors:  M J Yokoo; R B Lobo; F R C Araujo; L A F Bezerra; R D Sainz; L G Albuquerque
Journal:  J Anim Sci       Date:  2009-10-09       Impact factor: 3.159

  4 in total
  3 in total

1.  Herd-of-origin effect on the post-weaning performance of centrally tested Nellore beef cattle.

Authors:  Haroldo Henrique de Rezende Neves; Felipe Polin dos Reis; Flávia Motta Paterno; Aline Rocha Guarini; Roberto Carvalheiro; Lilian Regina da Silva; João Ademir de Oliveira; Sandra Aidar de Queiroz
Journal:  Trop Anim Health Prod       Date:  2014-07-12       Impact factor: 1.559

2.  Exploratory analysis of differences in sperm morphology in Nelore and Gir (Bos indicus) bulls.

Authors:  Aline Costa de Lucio; Antonio Sérgio Ferraudo; Leticia Zoccolaro de Oliveira; Adriana Santana do Carmo; Benner Geraldo Alves; Kele Amaral Alves; Solange Almeida; Luis Alfredo Deragon; William Pereira; Luisa Cunha Carneiro; Vera Fernanda Martins Hossepian de Lima
Journal:  Trop Anim Health Prod       Date:  2014-03-13       Impact factor: 1.559

3.  Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle.

Authors:  Fernando Brito Lopes; Marcelo Corrêa da Silva; Cláudio Ulhôa Magnabosco; Marcelo Goncalves Narciso; Roberto Daniel Sainz
Journal:  PLoS One       Date:  2016-01-20       Impact factor: 3.240

  3 in total

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