Literature DB >> 18952722

Relationships among measures of growth performance and efficiency with carcass traits, visceral organ mass, and pancreatic digestive enzymes in feedlot cattle.

C J Mader1, Y R Montanholi, Y J Wang, S P Miller, I B Mandell, B W McBride, K C Swanson.   

Abstract

Ninety-three crossbred steer calves (BW+/-SD=385+/-50 kg) were used (n=48 steers in yr 1, n=45 steers in yr 2) to examine the relationship among carcass traits, lean, bone, and fat proportions, visceral tissue weights, and pancreatic digestive enzyme activity with DMI, ADG, G:F, and residual feed intake. Calves were progeny from crossbred dams predominantly of Angus and Simmental breeding and were sired by Angus, Simmental, crossbred (predominantly of Angus and Simmental breeding), Charolais, or Piedmontese bulls. Steers were fed a high-moisture corn-based diet for an average of 112 d. Partial correlation analysis accounting for year, pen within year, week of slaughter within year, and sire breed was conducted. Gain:feed was negatively correlated (P <or= 0.04) with backfat thickness (r= -0.38), marbling score (r= -0.32), and trim and kidney fat weight proportion (g/kg of BW; r= -0.42). Residual feed intake (P=0.008; g/kg of BW; r=0.34) and backfat-corrected residual feed intake (P=0.005; r=0.29) were positively correlated with trim and kidney fat weight proportion. Gain:feed was negatively correlated (P<0.001) with total fat weight proportion (g/kg of rib; r= -0.45) and positively correlated (P <or= 0.03) with lean weight proportion (g/kg of rib; r=0.30) and bone weight proportion (g/kg of rib; r=0.28). Gain:feed was negatively correlated (P <or= 0.01) with subcutaneous fat weight proportion (g/kg of rib; r= -0.32) and intramuscular fat weight proportion (g/ kg of rib; r=0.37). Gain:feed was negatively correlated (P<0.001) with total visceral weight proportion (g/kg of BW; r= -0.44) and visceral fat weight proportion (g/kg of BW; r= -0.41) but was positively correlated (P=0.02) with spleen weight proportion (g/kg of BW; r=0.30). There were no significant correlations (P>0.10) between performance measures and the pancreatic proportional content of alpha-amylase and trypsin activity (units/kg of BW). These data indicate that carcass fatness traits and changes in the proportional weight of total viscera may be negatively associated with G:F and that visceral fat weight proportion and trim and kidney fat weight proportion may be important factors influencing this relationship.

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Year:  2008        PMID: 18952722     DOI: 10.2527/jas.2008-0914

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


  12 in total

1.  Genetic parameters and genome-wide association study regarding feed efficiency and slaughter traits in Charolais cows.

Authors:  Pauline Martin; Sébastien Taussat; Aurélie Vinet; Daniel Krauss; David Maupetit; Gilles Renand
Journal:  J Anim Sci       Date:  2019-09-03       Impact factor: 3.159

2.  Relationship between feed efficiency and slaughter traits of French Charolais bulls.

Authors:  Sébastien Taussat; Romain Saintilan; Daniel Krauss; David Maupetit; Marie-Noëlle Fouilloux; Gilles Renand
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

Review 3.  Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part I: Cattle and swine.

Authors:  Zhoumeng Lin; Miao Li; Yu-Shin Wang; Lisa A Tell; Ronald E Baynes; Jennifer L Davis; Thomas W Vickroy; Jim E Riviere
Journal:  J Vet Pharmacol Ther       Date:  2020-04-08       Impact factor: 1.786

4.  Influence of limit-feeding and time of day of feed availability to growing calves on growth performance and feeding behavior in cold weather.

Authors:  L D Prezotto; T C Gilbery; M L Bauer; A Islas; K C Swanson
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

5.  Influence of feeding direct-fed microbial supplementation on growth performance and feeding behavior in naturally fed and conventionally fed finishing cattle with different dietary adaptation periods.

Authors:  Kendall C Swanson; James J Gaspers; Faithe A Keomanivong; Trent C Gilbery; Gregory P Lardy; Marc L Bauer; Gerald L Stokka
Journal:  J Anim Sci       Date:  2018-07-28       Impact factor: 3.159

6.  Influence of sire breed on the interplay among rumen microbial populations inhabiting the rumen liquid of the progeny in beef cattle.

Authors:  Emma Hernandez-Sanabria; Laksiri A Goonewardene; Zhiquan Wang; Mi Zhou; Stephen S Moore; Le Luo Guan
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

7.  Small intestine histomorphometry of beef cattle with divergent feed efficiency.

Authors:  Yuri Montanholi; Ananda Fontoura; Kendall Swanson; Brenda Coomber; Shigeto Yamashiro; Stephen Miller
Journal:  Acta Vet Scand       Date:  2013-02-05       Impact factor: 1.695

8.  Profile of the Spleen Transcriptome in Beef Steers with Variation in Gain and Feed Intake.

Authors:  Amanda K Lindholm-Perry; Rebecca J Kern; Brittney N Keel; Warren M Snelling; Larry A Kuehn; Harvey C Freetly
Journal:  Front Genet       Date:  2016-07-25       Impact factor: 4.599

9.  Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle.

Authors:  Pamela A Alexandre; Lisette J A Kogelman; Miguel H A Santana; Danielle Passarelli; Lidia H Pulz; Paulo Fantinato-Neto; Paulo L Silva; Paulo R Leme; Ricardo F Strefezzi; Luiz L Coutinho; José B S Ferraz; Joanie P Eler; Haja N Kadarmideen; Heidge Fukumasu
Journal:  BMC Genomics       Date:  2015-12-18       Impact factor: 3.969

10.  Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses.

Authors:  Andressa O de Lima; James E Koltes; Wellison J S Diniz; Priscila S N de Oliveira; Aline S M Cesar; Polyana C Tizioto; Juliana Afonso; Marcela M de Souza; Juliana Petrini; Marina I P Rocha; Tainã F Cardoso; Adhemar Zerlotini Neto; Luiz L Coutinho; Gerson B Mourão; Luciana C A Regitano
Journal:  Front Genet       Date:  2020-03-04       Impact factor: 4.599

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