Literature DB >> 23031564

Grazed grass herbage intake and performance of beef heifers with predetermined phenotypic residual feed intake classification.

P Lawrence1, D A Kenny, B Earley, M McGee.   

Abstract

Data were collected on 85 Simmental and Simmental × Holstein-Friesian heifers. During the indoor winter period, they were offered grass silage ad libitum and 2 kg of concentrate daily, and individual dry matter intake (DMI) and growth was recorded over 84 days. Individual grass herbage DMI was determined at pasture over a 6-day period, using the n-alkane technique. Body condition score, skeletal measurements, ultrasonic fat and muscle depth, visual muscularity score, total tract digestibility, blood hormones, metabolites and haematology variables and activity behaviour were measured for all heifers. Phenotypic residual feed intake (RFI) was calculated for each animal as the difference between actual DMI and expected DMI during the indoor winter period. Expected DMI was calculated for each animal by regressing average daily DMI on mid-test live weight (LW)(0.75) and average daily gain (ADG) over an 84-day period. Standard deviations above and below the mean were used to group animals into high (>0.5 s.d.), medium (±0.5 s.d.) and low (<0.5 s.d.) RFI. Overall mean (s.d.) values for DMI (kg/day), ADG (kg), feed conversion ratio (FCR) kg DMI/kg ADG and RFI (kg dry matter/day) were 5.82 (0.73), 0.53 (0.18), 12.24 (4.60), 0.00 (0.43), respectively, during the RFI measurement period. Mean DMI (kg/day) and ADG (kg) during the grazing season was 9.77 (1.77) and 0.77 (0.14), respectively. The RFI groups did not differ (P > 0.05) in LW, ADG or FCR at any stage of measurement. RFI was positively correlated (r = 0.59; P < 0.001) with DMI during the RFI measurement period but not with grazed grass herbage DMI (r = 0.06; P = 0.57). Low RFI heifers had 0.07 greater (P < 0.05) concentration of plasma creatinine than high RFI heifers and, during the grazed herbage intake period, spent less time standing and more time lying (P < 0.05) than high RFI heifers. However, low and high RFI groups did not differ (P > 0.05) in ultrasonic backfat thickness or muscle depth, visual muscle scores, skeletal size, total tract digestibility or blood hormone and haematology variables at any stage of the experiment. Despite a sizeable difference in intake of grass silage between low and high RFI heifers during the indoor winter period, there were no detectable differences between RFI groupings for any economically important performance traits measured when animals were offered ensiled or grazed grass herbage.

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Year:  2012        PMID: 23031564     DOI: 10.1017/S1751731112000559

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  12 in total

1.  Associations between residual feed intake and apparent nutrient digestibility, in vitro methane-producing activity, and volatile fatty acid concentrations in growing beef cattle1.

Authors:  Jocelyn R Johnson; Gordon E Carstens; Wimberly K Krueger; Phillip A Lancaster; Erin G Brown; Luis O Tedeschi; Robin C Anderson; Kristen A Johnson; Arieh Brosh
Journal:  J Anim Sci       Date:  2019-07-30       Impact factor: 3.159

2.  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

3.  Effect of dietary energy substrate and days on feed on apparent total tract digestibility, ruminal short-chain fatty acid absorption, acetate and glucose clearance, and insulin responsiveness in finishing feedlot cattle.

Authors:  F Joy; J J McKinnon; S Hendrick; P Górka; G B Penner
Journal:  J Anim Sci       Date:  2017-12       Impact factor: 3.159

4.  Digestion and metabolism of low and high residual feed intake Nellore bulls.

Authors:  Sarah Figueiredo Martins Bonilha; Renata Helena Branco; Maria Eugênia Zerlotti Mercadante; Joslaine Noely Dos Santos Gonçalves Cyrillo; Fábio Morato Monteiro; Enilson Geraldo Ribeiro
Journal:  Trop Anim Health Prod       Date:  2017-01-26       Impact factor: 1.559

5.  Grazing behavior and production characteristics among cows differing in residual feed intake while grazing late season Idaho rangeland.

Authors:  James E Sprinkle; J Bret Taylor; Patrick E Clark; John B Hall; Nicole K Strong; Meghan C Roberts-Lew
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

6.  Differentially expressed mRNAs, proteins and miRNAs associated to energy metabolism in skeletal muscle of beef cattle identified for low and high residual feed intake.

Authors:  Elisa B Carvalho; Mateus P Gionbelli; Rafael T S Rodrigues; Sarah F M Bonilha; Charles J Newbold; Simone E F Guimarães; Walmir Silva; Lucas L Verardo; Fabyano F Silva; Edenio Detmann; Marcio S Duarte
Journal:  BMC Genomics       Date:  2019-06-17       Impact factor: 3.969

7.  An examination of skeletal muscle and hepatic tissue transcriptomes from beef cattle divergent for residual feed intake.

Authors:  Clare McKenna; Kate Keogh; Richard K Porter; Sinead M Waters; Paul Cormican; David A Kenny
Journal:  Sci Rep       Date:  2021-04-26       Impact factor: 4.379

Review 8.  Opportunities to Harness High-Throughput and Novel Sensing Phenotypes to Improve Feed Efficiency in Dairy Cattle.

Authors:  Cori J Siberski-Cooper; James E Koltes
Journal:  Animals (Basel)       Date:  2021-12-22       Impact factor: 2.752

9.  GWAS and eQTL analysis identifies a SNP associated with both residual feed intake and GFRA2 expression in beef cattle.

Authors:  Marc G Higgins; Claire Fitzsimons; Matthew C McClure; Clare McKenna; Stephen Conroy; David A Kenny; Mark McGee; Sinéad M Waters; Derek W Morris
Journal:  Sci Rep       Date:  2018-09-24       Impact factor: 4.379

10.  Relationships among feed efficiency traits across production segments and production cycles in cattle.

Authors:  Phillip A Lancaster; Michael E Davis; Jack J Rutledge; Larry V Cundiff
Journal:  Transl Anim Sci       Date:  2021-06-23
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