338 Enhancing the feeding value of corn residues to improve beef cattle production

2016 ◽  
Vol 94 (suppl_2) ◽  
pp. 159-159
Author(s):  
P. H. V. Carvalho ◽  
W. T. Meteer ◽  
A. R. Schroeder ◽  
A. DiCostanzo ◽  
T. L. Felix
Keyword(s):  
Beef Cattle ◽  
Cattle Production ◽  
Feeding Value ◽  
Beef Cattle Production ◽  
Corn Residues

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 < 0.0001), average daily gain (P < 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.

The effect of Hsp90 gene polymorphism on the beef cattle production: a review paper

2021 ◽  
Vol 4 (1) ◽  
pp. e2021020
Author(s):  
Hassan Nima HABIB ◽  
Wessam Monther Mohammed SALEH ◽  
Qutaiba J. GHENI ◽  
Alfred S. KAROMY
Keyword(s):  
Gene Polymorphism ◽  
Beef Cattle ◽  
Review Paper ◽  
Cattle Production ◽  
Beef Cattle Production

scholarly journals Comparison of economic returns among genetic evaluation strategies in a 2-tiered Charolais-sired beef cattle production system1,2

2018 ◽  
Vol 96 (10) ◽  
pp. 4076-4086
Author(s):  
Justin W Buchanan ◽  
Michael D MacNeil ◽  
Randall C Raymond ◽  
Ashley R Nilles ◽  
Alison Louise Van Eenennaam
Keyword(s):  
Beef Cattle ◽  
Genetic Evaluation ◽  
Cattle Production ◽  
Economic Returns ◽  
Evaluation Strategies ◽  
Beef Cattle Production

scholarly journals Development and application of a bioeconomic efficiency index for beef cattle production in Rio Grande do Sul, Brazil

2012 ◽  
Vol 41 (3) ◽  
pp. 775-782 ◽  
Author(s):  
Vinícius do Nascimento Lampert ◽  
Júlio Otávio Jardim Barcellos ◽  
Francisco José Kliemann Neto ◽  
Leonardo Canali Canellas ◽  
Matheus Dhein Dill ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Rio Grande ◽  
Efficiency Index ◽  
Rio Grande Do Sul ◽  
Cattle Production ◽  
Beef Cattle Production

Technologies that affect the weaning rate in beef cattle production systems

2015 ◽  
Vol 47 (7) ◽  
pp. 1255-1260 ◽  
Author(s):  
Matheus Dhein Dill ◽  
Gabriel Ribas Pereira ◽  
João Batista Gonçalves Costa ◽  
Leonardo Canali Canellas ◽  
Vanessa Peripolli ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Production Systems ◽  
Cattle Production ◽  
Beef Cattle Production
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