scholarly journals Management characteristics of beef cattle production in the eastern United States

2018 ◽  
Vol 34 (4) ◽  
pp. 311-325 ◽  
Author(s):  
Senorpe Asem-Hiablie ◽  
C. Alan Rotz ◽  
Robert Stout ◽  
Sara Place
Keyword(s):  
United States ◽  
Beef Cattle ◽  
Eastern United States ◽  
Cattle Production ◽  
Beef Cattle Production

scholarly journals 112 An environmental assessment of beef cattle production in the United States.

2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 368-369
Author(s):  
S Place ◽  
A Rotz ◽  
S Asem-Hiablie ◽  
G Thoma
Keyword(s):  
United States ◽  
Beef Cattle ◽  
Environmental Assessment ◽  
The United States ◽  
Cattle Production ◽  
Beef Cattle Production

scholarly journals Management characteristics of beef cattle production in the Northern Plains and Midwest regions of the United States

2016 ◽  
Vol 32 (6) ◽  
pp. 736-749 ◽  
Author(s):  
Senorpe Asem-Hiablie ◽  
C. Alan Rotz ◽  
Robert Stout ◽  
Kim Stackhouse-Lawson
Keyword(s):  
United States ◽  
Beef Cattle ◽  
The United States ◽  
Cattle Production ◽  
Northern Plains ◽  
Beef Cattle Production

scholarly journals Environmental footprints of beef cattle production in the United States

2019 ◽  
Vol 169 ◽  
pp. 1-13 ◽  
Author(s):  
C. Alan Rotz ◽  
Senorpe Asem-Hiablie ◽  
Sara Place ◽  
Greg Thoma
Keyword(s):  
United States ◽  
Beef Cattle ◽  
The United States ◽  
Cattle Production ◽  
Environmental Footprints ◽  
Beef Cattle Production

scholarly journals Management characteristics of beef cattle production in the western United States

2017 ◽  
Vol 33 (4) ◽  
pp. 461-471 ◽  
Author(s):  
Senorpe Asem-Hiablie ◽  
C. Alan Rotz ◽  
Robert Stout ◽  
Kathleen Fisher
Keyword(s):  
United States ◽  
Beef Cattle ◽  
Western United States ◽  
Cattle Production ◽  
Beef Cattle Production

scholarly journals Impact of “Raised without Antibiotics” Beef Cattle Production Practices on Occurrences of Antimicrobial Resistance

2017 ◽  
Vol 83 (22) ◽  
Author(s):  
Amit Vikram ◽  
Pablo Rovira ◽  
Getahun E. Agga ◽  
Terrance M. Arthur ◽  
Joseph M. Bosilevac ◽  
...  
Keyword(s):  
United States ◽  
Antimicrobial Resistance ◽  
Beef Cattle ◽  
Production Systems ◽  
Tetracycline Resistance ◽  
The United States ◽  
Metagenomic Sequencing ◽  
Cattle Production ◽  
Content Type ◽  
Beef Cattle Production

ABSTRACT The specific antimicrobial resistance (AMR) decreases that can be expected from reducing antimicrobial (AM) use in U.S. beef production have not been defined. To address this data gap, feces were recovered from 36 lots of “raised without antibiotics” (RWA) and 36 lots of “conventional” (CONV) beef cattle. Samples (n = 719) were collected during harvest and distributed over a year. AMR was assessed by (i) the culture of six AM-resistant bacteria (ARB), (ii) quantitative PCR (qPCR) for 10 AMR genes (ARGs), (iii) a qPCR array of 84 ARGs, and (iv) metagenomic sequencing. Generally, AMR levels were similar, but some were higher in CONV beef cattle. The prevalence of third-generation cephalosporin-resistant (3GCr) Escherichia coli was marginally different between production systems (CONV, 47.5%; RWA, 34.8%; P = 0.04), but the seasonal effect (summer, 92.8%; winter, 48.3%; P < 0.01) was greater. Erythromycin-resistant (ERYr) Enterococcus sp. concentrations significantly differed between production systems (CONV, 1.91 log10 CFU/g; RWA, 0.73 log10 CFU/g; P < 0.01). Levels of aadA1, ant(6)-I, bla ACI, erm(A), erm(B), erm(C), erm(F), erm(Q), tet(A), tet(B), tet(M), and tet(X) ARGs were higher (P < 0.05) in the CONV system. Aggregate abundances of all 43 ARGs detected by metagenomic sequencing and the aggregate abundances of ARGs in the aminoglycoside, β-lactam, macrolide-lincosamide-streptogramin B (MLS), and tetracycline AM classes did not differ (log2 fold change < 1.0) between CONV and RWA systems. These results suggest that further reductions of AM use in U.S. beef cattle production may not yield significant AMR reductions beyond MLS and tetracycline resistance. IMPORTANCE The majority of antimicrobial (AM) use in the United States is for food-animal production, leading to concerns that typical AM use patterns during “conventional” (CONV) beef cattle production in the United States contribute broadly to antimicrobial resistance (AMR) occurrence. In the present study, levels of AMR were generally similar between CONV and “raised without antibiotics” (RWA) cattle. Only a limited number of modest AMR increases was observed in CONV cattle, primarily involving macrolide-lincosamide-streptogramin B (MLS) and tetracycline resistance. Macrolides (tylosin) and tetracyclines (chlortetracycline) are administered in-feed for relatively long durations to reduce liver abscesses. To ensure judicious AM use, the animal health, economic, and AMR impacts of shorter duration in-feed administration of these AMs should be examined. However, given the modest AMR reductions observed, further reductions of AM use in U.S. beef cattle production may not yield significant AMR reductions beyond MLS and tetracycline resistance.

Environmental impacts of Brazilian beef cattle production in the Amazon, Cerrado, Pampa, and Pantanal biomes

2021 ◽  
pp. 127750
Author(s):  
Milene Dick ◽  
Marcelo Abreu da Silva ◽  
Rickiel Rodrigues Franklin da Silva ◽  
Otoniel Geter Lauz Ferreira ◽  
Manoel de Souza Maia ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Environmental Impacts ◽  
Cattle Production ◽  
Beef Cattle Production

Identification of breeding objectives using a bioeconomic model for a beef cattle production system in Uruguay

2014 ◽  
Vol 160 ◽  
pp. 21-28 ◽  
Author(s):  
Maria Isabel Pravia ◽  
Olga Ravagnolo ◽  
Jorge Ignacio Urioste ◽  
Dorian J. Garrick
Keyword(s):  
Beef Cattle ◽  
Production System ◽  
Bioeconomic Model ◽  
Cattle Production ◽  
Breeding Objectives ◽  
Beef Cattle Production

Bioeconomic simulation of Rhipicephalus microplus infestation in different beef cattle production systems in the Brazilian Cerrado

2021 ◽  
Vol 194 ◽  
pp. 103247
Author(s):  
Maria Paula Cavuto Abrão Calvano ◽  
Ricardo Carneiro Brumatti ◽  
Jacqueline Cavalcante Barros ◽  
Marcos Valério Garcia ◽  
Kauê Rodriguez Martins ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Production Systems ◽  
Rhipicephalus Microplus ◽  
Brazilian Cerrado ◽  
Cattle Production ◽  
Beef Cattle Production

183 Designing Research for Beef Cattle Production in Extensive Environments

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 98-99
Author(s):  
Timothy DelCurto ◽  
Sam Wyffels
Keyword(s):  
Beef Cattle ◽  
Statistical Inference ◽  
Multiple Regression ◽  
Feed Intake ◽  
Cattle Production ◽  
Modeling Tools ◽  
Activity Monitors ◽  
Multiple Observations ◽  
Wide Range ◽  
Beef Cattle Production

Abstract Designing research for beef cattle production in rangeland environments is an ongoing challenge for researchers worldwide. Specifically, creating study designs that mirror actual production environments yet have enough observations for statistical inference is a challenge that often hinders researchers in efforts to publish their observations. Numerous journals will accept “case study” or observational results that lack valid statistical inference. However, these journals are limited in number and often lack impact. Approaches are available to gain statistical inference by creating multiple observations within a common group of animals. Approaches to increasing statistical observations will be discussed in this presentation. Modeling animal behavior and performance on extensive rangeland landscapes is commonly practiced in wildlife ecology and, more recently, has been published in Animal Science journals. Additionally, new technology has made it possible to apply treatments (e.g., supplementation studies) to individual animals on extensive environments where large, diverse herds/flocks of cattle/sheep are managed as a single group. Use of individual animal identification (EID) and feed intake technology has opened a wide range of research possibilities for beef cattle production systems research in rangeland environments. Likewise, global positioning system (GPS) collars and activity monitors have created the opportunity to evaluate animal grazing behavior in remote and extensive landscapes. The use of multiple regression models to evaluate resource use in extensive environments will, in turn, help managers optimize beef cattle production and the sustainable use of forage/rangeland resources. Embracing new technologies such as GPS, activity monitors, EID tags, and feed intake monitors combined with multiple regression modeling tools will aid in designing and publishing beef cattle production research in extensive rangeland environments.

PSVIII-19 Greenhouse gas emissions from beef cattle production in Brazil: how we can mitigate from animal operations?

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 430-430
Author(s):  
Andre Pastori D Aurea ◽  
Abmael S da Silva Cardoso ◽  
Lauriston Bertelli Fernandes ◽  
Ricardo Andrade Reis ◽  
Luis Eduardo Ferreira ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Beef Cattle ◽  
Agricultural Sector ◽  
Average Daily Gain ◽  
Ghg Emissions ◽  
Primary Data ◽  
Cattle Production ◽  
Production Chain ◽  
Beef Cattle Production ◽  
Carbon Dioxide Equivalent

Abstract In Brazil beef cattle production is one of the most important activities in the agricultural sector and has an important impact on environmental and resources consumption. In this study assessed greenhouses gases (GHG) impacts from on farms representative productive system and the possible improvements of the production chain. Primary data from animal production index and feeding were collected from 17 farms, which covers 300.000 animals and 220.000 hectares. Emissions of methane, nitrous oxide and carbon dioxide were made using intergovernmental panel on climate change (IPCC) guidelines for national inventories. The GHG inventory included emissions from animals, feeds and operations for animal operation from “cradle to farm gate”. Emissions of each farm were converted to carbon dioxide equivalent (CO2eq) and divided by carcass production. Regression analysis between carbon dioxide equivalent and productive index was run to identify possible hotspot of GHG emissions. A large variation between farms were observed. The GHG yield ranged from 8.63 kg to 50.88 CO2eq kg carcass-1. The productive index age of slaughtering (P &lt; 0.0001), average daily gain (P &lt; 0.0001) and productivity (P = 0.058) per area were positive correlated to GHG yield. While no correlation was found with stocking rate (P = 0.21). Improvements of the production chain could be realized by accurate animal management strategies that reduce the age of slaughtering (feeding and genetic improvements) and gain individual or per area using strategic animal supplementation and pasture management, in order to obtains reduction of GHG emissions of beef cattle.

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