Analysis of modern technologies commonly used in beef cattle production: Conventional beef production versus nonconventional production using meta-analysis

2009 ◽  
Vol 87 (10) ◽  
pp. 3418-3426 ◽  
Author(s):  
B. W. Wileman ◽  
D. U. Thomson ◽  
C. D. Reinhardt ◽  
D. G. Renter
2014 ◽  

Beef Cattle Production and Trade covers all aspects of the beef industry from paddock to plate. It is an international text with an emphasis on Australian beef production, written by experts in the field. The book begins with an overview of the historical evolution of world beef consumption and introductory chapters on carcass and meat quality, market preparation and world beef production. North America, Brazil, China, South-East Asia and Japan are discussed in separate chapters, followed by Australian beef production, including feed lotting and live export. The remaining chapters summarise R&D, emphasising the Australian experience, and look at different production systems and aspects of animal husbandry such as health, reproduction, grazing, feeding and finishing, genetics and breeding, production efficiency, environmental management and business management. The final chapter examines various case studies in northern and southern Australia, covering feed demand and supply, supplements, pasture management, heifer and weaner management, and management of internal and external parasites.


2013 ◽  
Vol 53 (2) ◽  
pp. 163 ◽  
Author(s):  
Le Thi Thanh Huyen ◽  
Dinh Thi Tuyet Van ◽  
André Markemann ◽  
Pera Herold ◽  
Anne Valle Zárate

Vietnam’s national beef demand is continuously increasing, but is not able to be satisfied by domestic supply. Because land scarcity is a major constraint to beef production in many parts of the country, attempts to enhance beef production in Vietnam have focussed on small-scale household farms in remoter areas. The present study aimed to investigate the relation between cattle keeping and poverty status of household farms in Son La province, north-west Vietnam. In addition, altitude, community remoteness and technology adoption of the investigated households were considered for an evaluation of the feasibility of smallholder beef cattle production in the upland areas. Data on livestock production of 299 randomly selected households of different ethnic groups in the lowlands and highlands of Yen Chau district, Son La province, were collected by using structured and standardised questionnaires. The poverty status of the households was defined on basis of daily per-capita expenditures, dividing the investigated households into poor and non-poor farmers with daily per-capita expenditures below and above the rural poverty line, respectively. Cattle keeping farms in Yen Chau district showed advantages in terms of available land and labour resources compared with non-cattle keeping farms. Cattle were kept mainly by non-poor farmers, particularly the Thai, whose farm holdings are most commonly located in the lowlands. The number of cattle raised on farm was related to the poverty status of the households and remoteness. Cattle compete with other livestock in the use of limited farm resources. Cattle keeping farms more frequently applied feeding innovations to reduce feed competition on farm than the non-cattle keeping households. For the very poor, small animals are more appropriate than beef cattle production activities. Only in the identified advantageous regions, smallholder farmers might engage in beef production, if appropriate policies are implemented to support them in raising cattle. Consequently, the development of beef production under those conditions could contribute to poverty reduction by increasing smallholder’s incomes in the remote highland regions.


1999 ◽  
Vol 79 (4) ◽  
pp. 409-417 ◽  
Author(s):  
H. Pang ◽  
M. Makarechian ◽  
J. A. Basarab ◽  
R. T. Berg

A dynamic deterministic model for simulating beef cattle production systems is developed to evaluate the effects of production traits and management strategies on the bioeconomic efficiency of beef production systems. The model, named Alberta Beef Production Simulation System (ABPSS), is composed of four major submodels: herd inventory, nutrient requirement, forage production, and economic submodels. The herd inventory submodel is used to simulate population dynamics and feed requirements in the herd. The nutrient requirements submodel is mainly based on the 1996 version of the National Research Council (NRC). It is used to evaluate nutrients and feed requirements for calves and cows depending on their physiological status (maintenance, growth, lactation and gestation) and the climatic condition. The forage production sub-model is used to predict forage growth rate, cattle grazing rate, available forage biomass and total hectares required for grazing. The economic submodel measures bioeconomic efficiency, as net return per cow, by subtracting total cost from total return. The nutrient requirements predicted by ABPSS were compared with those recommended by the NRC for testing. The results that were predicted by the NRC model and ABPSS model were similar, as expected. Sensitivity analyses showed that cow mature weight, milk production, calf weaning weight and feed prices were the most critical input parameters in the model. It must be noted that the model was developed based on available experimental results and data from the literature and, due to the unavailability of a suitable data set, the model could not be validated. We suggest that the ABPSS has the potential for providing a useful method for simultaneous consideration of many factors in an integrated system, which could be helpful to beef cattle extension specialists and cow-calf production managers for assessing the potential effects of different management and selection strategies on bioeconomic efficiency. Key words: Beef cattle, simulation and modelling, production system, optimization


animal ◽  
2021 ◽  
pp. 100192
Author(s):  
C.M. Costa ◽  
G.S. Difante ◽  
A.B.G. Costa ◽  
A.L.C. Gurgel ◽  
M.A. Ferreira Jr. ◽  
...  

2019 ◽  
Vol 7 (4) ◽  
pp. 359-369
Author(s):  
Karen Enciso ◽  
Mauricio Sotelo ◽  
Michael Peters ◽  
Stefan Burkart

Keynote paper presented at the International Leucaena Conference, 1‒3 November 2018, Brisbane, Queensland, Australia.Despite the great potential of legumes in cattle production, their adoption and use throughout the tropical world remain limited. While this is largely attributed to factors such as limited knowledge or access to credit, lack of information on the viability and profitability of the technology can influence the adoption decision. The objective of this study is to evaluate the profitability of including Leucaena diversifolia, accession ILRI 15551 in a Colombian beef cattle production system. For this purpose, we use data from a grazing experiment comparing a grass-legume association (Brachiaria hybrid cv. Cayman and L. diversifolia) with a grass monoculture (cv. Cayman) in the Valle del Cauca department, both with the purpose of beef production. We use a discounted cash flow model, developed with the simulation software @Risk, which considers inherent risk and uncertainty factors in these types of rural investment projects, under three different pasture degradation scenarios. The results indicate that the inclusion of L. diversifolia is financially profitable and substantially improves the associated risk and performance indicators. Profitability indicators increased in a range of 15‒110%, and the probability of suffering economic losses decreased from 72% to 0%. The results were directly related to the increases in animal productivity (49%) and efficiency resulting from including the legume. This work shows that L. diversifolia has significant potential to increase both animal production and profitability, which is conducive to the sustainable intensification of beef production in grazing systems.


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

2014 ◽  
Vol 160 ◽  
pp. 21-28 ◽  
Author(s):  
Maria Isabel Pravia ◽  
Olga Ravagnolo ◽  
Jorge Ignacio Urioste ◽  
Dorian J. Garrick

2021 ◽  
Vol 194 ◽  
pp. 103247
Author(s):  
Maria Paula Cavuto Abrão Calvano ◽  
Ricardo Carneiro Brumatti ◽  
Jacqueline Cavalcante Barros ◽  
Marcos Valério Garcia ◽  
Kauê Rodriguez Martins ◽  
...  

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 98-99
Author(s):  
Timothy DelCurto ◽  
Sam Wyffels

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.


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 ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document