Literature DB >> 16908631

Test duration for growth, feed intake, and feed efficiency in beef cattle using the GrowSafe System.

Z Wang1, J D Nkrumah, C Li, J A Basarab, L A Goonewardene, E K Okine, D H Crews, S S Moore.   

Abstract

This study was conducted to determine the optimum test duration and the effect of missing data on accuracy of measuring feed efficiency and its 4 related traits ADG, DMI, feed conversion ratio, and residual feed intake in beef cattle using data from 456 steers with 5,397 weekly averaged feed intakes and BW repeated measurements taken over 91 d. Data were collected using the GrowSafe System at the University of Alberta Kinsella Research Station. The changes and relative changes in phenotypic residual variances and correlations (Pearson and Spearman) among data from shortened test durations (7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, or 84 d) and a 91-d test were used to determine the optimum test duration for the 4 traits. The traits were fitted to a mixed model with repeated measures using SAS. Test durations for ADG, DMI, feed conversion ratio, and residual feed intake could be shortened to 63, 35, 42, and 63 d, respectively, without significantly reducing the accuracy of the tests when BW was measured weekly. The accuracy of the test was not compromised when up to 30% of the records were randomly removed after the first 35 d on test. These results have valuable and practical implications for performance and feed efficiency testing in beef cattle.

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Year:  2006        PMID: 16908631     DOI: 10.2527/jas.2005-715

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


  16 in total

1.  Test duration for water intake, ADG, and DMI in beef cattle.

Authors:  Cashley M Ahlberg; Kristi Allwardt; Ashley Broocks; Kelsey Bruno; Levi McPhillips; Alexandra Taylor; Clint R Krehbiel; Michelle Calvo-Lorenzo; Chris J Richards; Sara E Place; Udaya DeSilva; Deborah L VanOverbeke; Raluca G Mateescu; Larry A Kuehn; Robert L Weaber; Jennifer M Bormann; Megan M Rolf
Journal:  J Anim Sci       Date:  2018-07-28       Impact factor: 3.159

2.  Modeling heterotic effects in beef cattle using genome-wide SNP-marker genotypes.

Authors:  Everestus C Akanno; Mohammed K Abo-Ismail; Liuhong Chen; John J Crowley; Zhiquan Wang; Changxi Li; John A Basarab; Michael D MacNeil; Graham S Plastow
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

3.  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

4.  The players may change but the game remains: network analyses of ruminal microbiomes suggest taxonomic differences mask functional similarity.

Authors:  Tasia M Taxis; Sara Wolff; Sarah J Gregg; Nicholas O Minton; Chiqian Zhang; Jingjing Dai; Robert D Schnabel; Jeremy F Taylor; Monty S Kerley; J Chris Pires; William R Lamberson; Gavin C Conant
Journal:  Nucleic Acids Res       Date:  2015-09-29       Impact factor: 16.971

5.  Evaluation of test duration for feed efficiency in growing beef cattle.

Authors:  Milena Zigart Marzocchi; Leandro Sannomiya Sakamoto; Roberta Carrilho Canesin; Joslaine Dos Santos Gonçalves Cyrillo; Maria Eugênia Zerlotti Mercadante
Journal:  Trop Anim Health Prod       Date:  2019-12-07       Impact factor: 1.559

6.  The effect of an energy additive on the metabolism of cattle.

Authors:  Elina Nafikova; Irina Mironova; Igor Gazeev; Dmitry Blagov; Azat Nigmatiyanov
Journal:  Can J Vet Res       Date:  2021-07       Impact factor: 1.310

7.  The Influence of Environmental Conditions on Intake Behavior and Activity by Feedlot Steers Fed Corn or Barley-Based Diets.

Authors:  Hannah M DelCurto-Wyffels; Julia M Dafoe; Cory T Parsons; Darrin L Boss; Timothy DelCurto; Samuel A Wyffels; Megan L Van Emon; Janice G P Bowman
Journal:  Animals (Basel)       Date:  2021-04-27       Impact factor: 2.752

8.  Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production.

Authors:  J A Basarab; K A Beauchemin; V S Baron; K H Ominski; L L Guan; S P Miller; J J Crowley
Journal:  Animal       Date:  2013-06       Impact factor: 3.240

9.  RNA-Seq Meta-analysis identifies genes in skeletal muscle associated with gain and intake across a multi-season study of crossbred beef steers.

Authors:  Brittney N Keel; Christina M Zarek; John W Keele; Larry A Kuehn; Warren M Snelling; William T Oliver; Harvey C Freetly; Amanda K Lindholm-Perry
Journal:  BMC Genomics       Date:  2018-06-04       Impact factor: 3.969

10.  Energy utilization in cattle with steady state and non-steady state methods: the importance of thermal neutrality.

Authors:  A L Schaefer; K Ominski; S Thompson; G Crow; C Bench; J Colyn; A Rodas-Gonzalez; D Maharjan; R Bollum; N J Cook; J Basarab; H von Gaza
Journal:  Heliyon       Date:  2018-10-05
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