Literature DB >> 29401225

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

Richard Mark Thallman1, Larry A Kuehn1, Warren M Snelling1, Kelli J Retallick2, Jennifer M Bormann2, Harvey C Freetly1, Kristen E Hales1, Gary L Bennett1, Robert L Weaber2, Daniel W Moser2, Michael D MacNeil2,3,4.   

Abstract

Shortening the period of recording individual feed intake may improve selection response for feed efficiency by increasing the number of cattle that can be recorded given facilities of fixed capacity. Individual DMI and ADG records of 3,462 steers and 2,869 heifers over the entire intake recording period (range 62 to 154 d; mean 83 d; DMI83 and ADG83, respectively), DMI and ADG for the first 42 d of the recording period (DMI42 and ADG42, respectively), and postweaning ADG based on the difference between weaning and yearling weights (PADG) were analyzed. Genetic correlations among DMI42 and DMI83, ADG42 and ADG83, ADG42 and PADG, and ADG83 and PADG were 0.995, 0.962, 0.852, and 0.822, respectively. Four objective functions [feed:gain ratio in steers (FGS) and heifers (FGH); residual gain (RG); and residual feed intake (RFI)] based on DMI83 and ADG83 were considered. Indices using DMI42 and ADG42 (I42); DMI42 and PADG (IPW); and DMI42, ADG42, and PADG (IALL) were developed. Accuracy of the 5 EBV, 4 objectives, and 12 objective × index combinations were computed for all 12,033 animals in the pedigree. Accuracies of indices (IA) were summarized for animals with accuracies for objectives (OA) of 0.25, 0.5, 0.75, and 1. For the RG objective and animals with OA of 0.75, indices I42, IPW, and IALL had IA of 0.63, 0.55, and 0.67, respectively. Differences in IA increased with increased emphasis on ADG83 in the objective. Differences in IA between I42 and IPW usually increased with OA. Relative efficiency (RE) of selection on 42-d tests compared with 83 d was computed based on differences in IA and selection intensities of 5%, 25%, 50%, and 75% under the 83-d scenario, assuming 65% more animals could be tested for 42 d. For 25% selected for the RG objective, and animals with OA of 0.75, indices I42, IPW, and IALL had RE of 1.02, 0.90, and 1.10, respectively. As % selected, OA, and emphasis on DMI increased, RE increased. Relative efficiency varied considerably according to assumptions. One-half of the scenarios considered had RE > 1.15 with a maximum of 2.02 and 77% RE > 1.0. A shorter period of recording DMI can improve selection response for feed efficiency. Selection for the efficiency objectives would not affect PADG. It will be most effective if ADG over the period coinciding with intake recording and ADG over a much longer period of time are simultaneously included in a multiple-trait genetic evaluation with DMI and used in a selection index for efficiency.

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Year:  2018        PMID: 29401225      PMCID: PMC6093535          DOI: 10.1093/jas/skx077

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


  8 in total

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

Authors:  Z Wang; J D Nkrumah; C Li; J A Basarab; L A Goonewardene; E K Okine; D H Crews; S S Moore
Journal:  J Anim Sci       Date:  2006-09       Impact factor: 3.159

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

Authors:  K M Rolfe; W M Snelling; M K Nielsen; H C Freetly; C L Ferrell; T G Jenkins
Journal:  J Anim Sci       Date:  2011-05-27       Impact factor: 3.159

3.  Optimum postweaning test for measurement of growth rate, feed intake, and feed efficiency in British breed cattle.

Authors:  J A Archer; P F Arthur; R M Herd; P F Parnell; W S Pitchford
Journal:  J Anim Sci       Date:  1997-08       Impact factor: 3.159

4.  A prototype national cattle evaluation for feed intake and efficiency of Angus cattle.

Authors:  M D MacNeil; N Lopez-Villalobos; S L Northcutt
Journal:  J Anim Sci       Date:  2011-07-15       Impact factor: 3.159

5.  Genetic and statistical properties of residual feed intake.

Authors:  B W Kennedy; J H van der Werf; T H Meuwissen
Journal:  J Anim Sci       Date:  1993-12       Impact factor: 3.159

6.  Optimum measurement period for evaluating feed intake traits in beef cattle.

Authors:  M M Culbertson; S E Speidel; R K Peel; R R Cockrum; M G Thomas; R M Enns
Journal:  J Anim Sci       Date:  2015-05       Impact factor: 3.159

7.  Genetic variance and covariance and breed differences for feed intake and average daily gain to improve feed efficiency in growing cattle.

Authors:  K J Retallick; J M Bormann; R L Weaber; M D MacNeil; H L Bradford; H C Freetly; K E Hales; D W Moser; W M Snelling; R M Thallman; L A Kuehn
Journal:  J Anim Sci       Date:  2017-04       Impact factor: 3.159

8.  Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multibreed population.

Authors:  C M Ahlberg; L A Kuehn; R M Thallman; S D Kachman; W M Snelling; M L Spangler
Journal:  J Anim Sci       Date:  2016-05       Impact factor: 3.159

  8 in total
  4 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.  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

3.  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

4.  Average daily gain divergence in beef steers is associated with altered plasma metabolome and whole blood immune-related gene expression.

Authors:  Ibukun M Ogunade; Megan McCoun
Journal:  Transl Anim Sci       Date:  2020-05-27
  4 in total

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