2020
DOI: 10.1017/s1751731120000853
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The repeatability of feed intake and feed efficiency in beef cattle offered high-concentrate, grass silage and pasture-based diets

Abstract: Breeding values for feed intake and feed efficiency in beef cattle are generally derived indoors on high-concentrate (HC) diets. Within temperate regions of north-western Europe, however, the majority of a growing beef animal’s lifetime dietary intake comes from grazed grass and grass silage. Using 97 growing beef cattle, the objective of the current study was to assess the repeatability of both feed intake and feed efficiency across 3 successive dietary test periods comprising grass silage plus concentrates (… Show more

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Cited by 27 publications
(14 citation statements)
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“…Additionally, daily animal visitation to the GEM throughout the methane measurement period was within the range (1.3 to 5.08 visits/d) reported by others ( Velazco et al, 2016 ; Alemu et al, 2017 ; Arthur et al, 2017 ; Renand et al, 2019 ) and further strengthens the validity of the methane recording technique implemented in this experiment. The absolute range and differences in growth, performance, feed efficiency, and carcass data between animal sexes and genotypes were comparable to previous production values generated from the same feed efficiency performance test center over the preceding 10 yr ( Crowley et al, 2010 ; Kelly et al, 2011 ; Kelly et al, 2019 ; Lahart et al, 2020 ). DME were positively correlated with feed intake, growth, and carcass output, in line with previous studies ( Bird-Gardiner et al, 2017 ; Renand et al, 2019 ).…”
Section: Discussionsupporting
confidence: 77%
“…Additionally, daily animal visitation to the GEM throughout the methane measurement period was within the range (1.3 to 5.08 visits/d) reported by others ( Velazco et al, 2016 ; Alemu et al, 2017 ; Arthur et al, 2017 ; Renand et al, 2019 ) and further strengthens the validity of the methane recording technique implemented in this experiment. The absolute range and differences in growth, performance, feed efficiency, and carcass data between animal sexes and genotypes were comparable to previous production values generated from the same feed efficiency performance test center over the preceding 10 yr ( Crowley et al, 2010 ; Kelly et al, 2011 ; Kelly et al, 2019 ; Lahart et al, 2020 ). DME were positively correlated with feed intake, growth, and carcass output, in line with previous studies ( Bird-Gardiner et al, 2017 ; Renand et al, 2019 ).…”
Section: Discussionsupporting
confidence: 77%
“…The superior animal growth of PGSH-6 at pasture was associated with a greater DMI of higher (statistical tendency) OMD herbage compared to PGSH-4. Herbage DMI or grazing behaviour was not measured in previous studies evaluating PGSH for beef cattle in temperature pastures [ 10 , 11 , 36 ]; however, grazing behaviour parameter values obtained for PGSH-6 steers were similar to those reported in the literature for beef cattle grazing pasture to a similar height [ 38 , 39 ]. In the current study, the greater herbage DMI for PGSH-6 than PGSH-4 was mainly due to grazing behaviour differences that emerged during the last 24 h rather than the first 24 h of a 48-h allocation of fresh herbage.…”
Section: Discussionsupporting
confidence: 55%
“…This could be due to the similarity in herbage NDF and ADF concentrations between the PGSH treatments. The greater ruminating mastication rate for PGSH-6 could be due to the higher intake rate [ 44 ], as a significant positive, albeit low, correlation (0.25) between herbage DMI and ruminating mastication rate in grazing steers has been reported [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
“…The lack of universally accepted biomarkers of RFI might be due to the difficulty of identifying metabolites driven by the inter-individual variability rather than by dietary treatments, the latter having a strong impact on plasma metabolome 6 , 11 . Moreover, the inconsistencies across studies could stem from the use of different types of diets since a potential RFI Diet interaction has been evoked in a few works 12 , 13 . This could mean that biological mechanisms underlying RFI, and thus the associated biomarkers, might differ depending on the nature of the diet and finally to the type of absorbed nutrients.…”
Section: Introductionmentioning
confidence: 99%