Literature DB >> 2401650

Energy requirements for maintenance of crossbred beef cattle with different genetic potential for milk.

M Montaño-Bermudez1, M K Nielsen, G H Deutscher.   

Abstract

Maintenance energy requirements were estimated in two gestation and one lactation feeding trials for three groups of cows. All cows in the second gestation trial completed the first gestation and lactation trials. The three groups were chosen to represent cattle similar in growth rate and mature size but different in amount of milk provided to their calves. The low (L) group included Hereford x Angus, the medium (M) group included Red Poll x Angus and the high (H) group included Milking Shorthorn x Angus cows. Cows were individually fed to maintain net body weight (minus gravid uterus for gestation) constant. Allowances were made in energy intake for gestation and lactation. Cow weights were adjusted to an average condition score in each trial. Daily maintenance requirements during gestation were 18% lower than those during lactation. The H and M cows required 12% more energy per unit metabolic weight than L cows to maintain body weight during both gestation and lactation. Differences in milk production explained 23% of the variation in maintenance requirements, suggesting that important differences exist beyond those associated with milk production potential. Repeatabilities of maintenance requirement measurements ranged from .44 to .64. Maintenance requirements for calves under feedlot conditions in the postweaning phase were estimated from data collected from 494 calves, half-sibs and offspring of the cows described previously. Energy requirements were 11% higher for the H and M groups than for the L group.

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Year:  1990        PMID: 2401650     DOI: 10.2527/1990.6882279x

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


  14 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.  Potential exists to change, through breeding, the yield of individual primal carcass cuts in cattle without increasing overall carcass weight1.

Authors:  Michelle M Judge; Thierry Pabiou; Jessica Murphy; Stephen B Conroy; P J Hegarty; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-07-02       Impact factor: 3.159

3.  Variability in residual feed intake and nutrient utilization in Murrah buffalo heifers.

Authors:  Tegene Negesse; Chander Datt; S S Kundu
Journal:  Trop Anim Health Prod       Date:  2016-09-12       Impact factor: 1.559

4.  Divergent Impacts of Two Cattle Types on Vegetation in Coastal Meadows: Implications for Management.

Authors:  Marika Laurila; Arto Huuskonen; Maiju Pesonen; Janne Kaseva; Erkki Joki-Tokola; Marko Hyvärinen
Journal:  Environ Manage       Date:  2015-07-04       Impact factor: 3.266

5.  Using the difference in actual and expected calf liveweight relative to its dam liveweight as a statistic for interherd and intraherd benchmarking and genetic evaluations1.

Authors:  Noirin McHugh; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-12-17       Impact factor: 3.159

6.  Rumen fluid metabolomics of beef steers differing in feed efficiency.

Authors:  Brooke A Clemmons; Joshua B Powers; Shawn R Campagna; Taylor B Seay; Mallory M Embree; Phillip R Myer
Journal:  Metabolomics       Date:  2020-01-27       Impact factor: 4.290

7.  A novel measure of ewe efficiency for breeding and benchmarking purposes.

Authors:  Nóirín McHugh; Thierry Pabiou; Kevin McDermott; Eamon Wall; Donagh P Berry
Journal:  J Anim Sci       Date:  2018-06-04       Impact factor: 3.159

8.  Effects of timing of weaning on energy utilization in primiparous beef cows and post-weaning performance of their progeny1.

Authors:  Aksel Wiseman; Miles Redden; Adam McGee; Courtney Spencer; Ryan Reuter; Gerald Horn; David Lalman
Journal:  J Anim Sci       Date:  2019-03-01       Impact factor: 3.159

9.  A mathematical nutrition model adequately predicts beef and dairy cow intake and biological efficiency.

Authors:  Phillip A Lancaster; Michael E Davis; Luis O Tedeschi; Jack J Rutledge; Larry V Cundiff
Journal:  Transl Anim Sci       Date:  2021-12-20

10.  Ruminal Protozoal Populations of Angus Steers Differing in Feed Efficiency.

Authors:  Brooke A Clemmons; Sung B Shin; Timothy P L Smith; Mallory M Embree; Brynn H Voy; Liesel G Schneider; Dallas R Donohoe; Kyle J McLean; Phillip R Myer
Journal:  Animals (Basel)       Date:  2021-05-27       Impact factor: 2.752

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