Literature DB >> 21622877

Genetic and phenotypic parameter estimates for feed intake and other traits in growing beef cattle, and opportunities for selection.

K M Rolfe1, W M Snelling, M K Nielsen, H C Freetly, C L Ferrell, T G Jenkins.   

Abstract

Growth, feed intake, and temperament indicator data, collected over 5 yr on a total of 1,141 to 1,183 mixed-breed steers, were used to estimate genetic and phenotypic parameters. All steers had a portion of Hereford, Angus, or both as well as varying percentages of Simmental, Charolais, Limousin, Gelbvieh, Red Angus, and MARC III composite. Because the steers were slaughtered on various dates each year and the animals thus varied in days on feed, BW and feed data were adjusted to a 140-d feeding period basis. Adjustment of measures of feed efficiency [G:F or residual feed intake (RFI), intake adjusted for metabolic body size, and BW gain] for body fatness recorded at slaughter had little effect on the results of analyses. Average daily gain was less heritable (0.26) than was midtest BW (MBW; 0.35). Measures of feed intake had greater estimates of heritability, with 140-d DMI at 0.40 and RFI at 0.52; the heritability estimate for G:F was 0.27. Flight speed (FS), as an indicator of temperament, had an estimated heritability of 0.34 and a repeatability of 0.63. As expected, a strong genetic (0.86) correlation was estimated between ADG and MBW; genetic correlations were less strong between DMI and ADG or MBW (0.56 and 0.71). Residual feed intake and DMI had a genetic correlation of 0.66. Indexes for phenotypic RFI and genotypically restricted RFI (no correlation with BW gain) were compared with simple economic indexes incorporating feed intake and growth to elucidate expected selection responses under different criteria. In general, few breed differences were detected across the various measurements. Heterosis contributed to greater DMI, RFI, and MBW, but it did not significantly affect ADG, G:F, or FS. Balancing output (growth) with input costs (feed) is needed in practicing selection, and FS would not be recommended as an indicator trait for selection to change feed efficiency. An index including BW gain and RFI produced the best economic outcome.

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Year:  2011        PMID: 21622877     DOI: 10.2527/jas.2011-3961

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


  19 in total

Review 1.  Residual feed intake: a nutritional tool for genetic improvement.

Authors:  Leilson Rocha Bezerra; José Lindenberg Rocha Sarmento; Severino Gonzaga Neto; Ney Rômulo Oliveira de Paula; Ronaldo Lopes Oliveira; Wagner Martins Fontes do Rêgo
Journal:  Trop Anim Health Prod       Date:  2013-10-31       Impact factor: 1.559

2.  Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle1.

Authors:  Robert M Herd; Jose I Velazco; Helen Smith; Paul F Arthur; Brad Hine; Hutton Oddy; Robin C Dobos; Roger S Hegarty
Journal:  J Anim Sci       Date:  2019-04-29       Impact factor: 3.159

3.  Beef trait genetic parameters based on old and recent data and its implications for genomic predictions in Italian Simmental cattle.

Authors:  Alberto Cesarani; Jorge Hidalgo; Andre Garcia; Lorenzo Degano; Daniele Vicario; Yutaka Masuda; Ignacy Misztal; Daniela Lourenco
Journal:  J Anim Sci       Date:  2020-08-01       Impact factor: 3.159

4.  Genotype × prenatal and post-weaning nutritional environment interaction in a composite beef cattle breed using reaction norms and a multi-trait model.

Authors:  El Hamidi Hay; Andy Roberts
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

5.  Reducing the period of data collection for intake and gain to improve response to selection for feed efficiency in beef cattle.

Authors:  Richard Mark Thallman; Larry A Kuehn; Warren M Snelling; Kelli J Retallick; Jennifer M Bormann; Harvey C Freetly; Kristen E Hales; Gary L Bennett; Robert L Weaber; Daniel W Moser; Michael D MacNeil
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

6.  Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness.

Authors:  Matheus Henrique Vargas de Oliveira; Jessica Moraes Malheiros; Alejandra Maria Toro Ospina; Pablo Dominguez-Castaño; Lorena Ferreira Benfica; Luiz Eduardo Cruz Dos Santos Correia; Leila de Genova Gaya; Maria Eugênia Zerlotti Mercadante; André Michel de Castilhos; Joslaine Noely Dos Santos Gonçalves Cyrillo; Jéssica Biasotto Sartori; Lúcia Galvão de Albuquerque; Josineudson Augusto Ii de Vasconcelos Silva
Journal:  Trop Anim Health Prod       Date:  2022-09-14       Impact factor: 1.893

7.  Comparison of Pure and Crossbred Japanese Black Steers in Growth Performance and Metabolic Features from Birth to Slaughter at a Spanish Fattening Farm.

Authors:  Juan M Vázquez-Mosquera; Eduardo de Mercado; Aitor Fernández-Novo; Juan C Gardón; José L Pesántez-Pacheco; María Luz Pérez-Solana; Ángel Revilla-Ruiz; Daniel Martínez; Arantxa Villagrá; Francisco Sebastián; Sonia S Pérez-Garnelo; Susana Astiz
Journal:  Animals (Basel)       Date:  2022-06-29       Impact factor: 3.231

8.  Heritability and genetic correlations of feed intake, body weight gain, residual gain, and residual feed intake of beef cattle as heifers and cows.

Authors:  Harvey C Freetly; Larry A Kuehn; Richard M Thallman; Warren M Snelling
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

9.  Evaluation of Bovine chemerin (RARRES2) Gene Variation on Beef Cattle Production Traits.

Authors:  Amanda K Lindholm-Perry; Larry A Kuehn; Lea A Rempel; Timothy P L Smith; Robert A Cushman; Tara G McDaneld; Tommy L Wheeler; Steven D Shackelford; David A King; Harvey C Freetly
Journal:  Front Genet       Date:  2012-03-29       Impact factor: 4.599

10.  Association, effects and validation of polymorphisms within the NCAPG - LCORL locus located on BTA6 with feed intake, gain, meat and carcass traits in beef cattle.

Authors:  Amanda K Lindholm-Perry; Andrea K Sexten; Larry A Kuehn; Timothy P L Smith; D Andy King; Steven D Shackelford; Tommy L Wheeler; Calvin L Ferrell; Thomas G Jenkins; Warren M Snelling; Harvey C Freetly
Journal:  BMC Genet       Date:  2011-12-14       Impact factor: 2.797

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