Beef Cattle Production and Trade

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.

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


2009 ◽  
Vol 49 (6) ◽  
pp. 542 ◽  
Author(s):  
G. R. Griffith

The ‘Regional Combinations’ project and its biophysical outcomes, and the subsequent identification of the most profitable beef cattle production systems across different environments in southern Australia, have been described in several other papers in this special edition. In this paper, the economic calculations reported for each of the individual beef enterprises representative of the various state sites are aggregated up to the level of the Australian cattle and beef industry and then projected forward over several years into the future. To do this, an existing model of the world beef market is used. The analyses suggest that both the fast-growth-rate technology and the time-of-calving technology have the potential to generate significant economic benefits for the southern Australia cattle and beef industries. The cumulative present values of each technology are around $70 million over a 15-year time horizon at a 7% real discount rate.


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

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

2019 ◽  
Vol 11 (23) ◽  
pp. 6840 ◽  
Author(s):  
Ashraf Zaied ◽  
Hatim Geli ◽  
Jerry Holechek ◽  
Andres Cibils ◽  
Mohammed Sawalhah ◽  
...  

In support of Food-Energy-Water Systems (FEWS) analysis to enhance its sustainability for New Mexico (NM), this study evaluated observed trends in beef cattle population in response to environmental and economic changes. The specific goal was to provide an improved understanding of the behavior of NM’s beef cattle production systems relative to precipitation, temperature, rangeland conditions, production of hay and crude oil, and prices of hay and crude oil. Historical data of all variables were available for the 1973–2017 period. The analysis was conducted using generalized autoregressive conditional heteroscedasticity models. The results indicated declining trends in beef cattle population and prices. The most important predictors of beef cattle population variation were hay production, mean annual hay prices, and mean annual temperature, whereas mean annual temperature, cattle feed sold, and crude oil production were the most important predictors for calf population that weigh under 500 lb. Prices of beef cattle showed a strong positive relationship with crude oil production, mean annual hay prices, rangeland conditions, and mean annual precipitation. However, mean annual temperature had a negative relationship with mean annual beef prices. Variation in mean annual calf prices was explained by hay production, mean annual temperature, and crude oil production. This analysis suggested that NM’s beef cattle production systems were affected mainly and directly by mean annual temperature and crude oil production, and to a lesser extent by other factors studied in this research.


PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0240819
Author(s):  
Qihui Yang ◽  
Don M. Gruenbacher ◽  
Jessica L. Heier Stamm ◽  
David E. Amrine ◽  
Gary L. Brase ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Evangelos Alexandropoulos ◽  
Vasileios Anestis ◽  
Thomas Bartzanas

In this paper, 15 farm-scale Green House Gas-based (GHG-based) decision support (DS) tools were evaluated based on a number of criteria (descriptive evaluation), as well as the parameters requested as inputs and the outputs, all of which are considered important for the estimation procedure and the decision support approach. The tools were grouped as emission calculators and tools providing indicators in terms of more than one pillar of sustainability. The results suggest an absence of automatic consultation in decision support in most of the tools. Furthermore, dairy and beef cattle production systems are the most represented in the tools examined. This research confirms a number of important functionalities of modern GHG-based DS tools.


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