A Decision Support Aid for Beef Cattle Investment Using Expert Systems

AbstractThe beef cattle investment decision provides an excellent opportunity to increase the economic efficiency of beef cattle production. The investment questions that face beef cattle producers are of interest to beef cattle producers, educators, and financial institutions involved in lending to beef cattle producing firms. This study develops a decision support aid utilizing expert system technology to assist beef cattle producers in making well-founded investment decisions with respect to the firm's beef cattle herd.

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Farm-Scale Greenhouse Gas Emissions’ Decision Support Systems

Engineering Proceedings ◽

10.3390/engproc2021009022 ◽

2021 ◽

Vol 9 (1) ◽

pp. 22

Author(s):

Evangelos Alexandropoulos ◽

Vasileios Anestis ◽

Thomas Bartzanas

Keyword(s):

Decision Support ◽

Beef Cattle ◽

Decision Support Systems ◽

Greenhouse Gas ◽

Production Systems ◽

Estimation Procedure ◽

Cattle Production ◽

Green House Gas ◽

Farm Scale ◽

Beef Cattle Production

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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The factors influencing production and economic efficiency of beef cattle farm in Grobogan Region, Central Java

Journal of the Indonesian Tropical Animal Agriculture ◽

10.14710/jitaa.43.1.76-84 ◽

2018 ◽

Vol 43 (1) ◽

pp. 76 ◽

Cited By ~ 2

Author(s):

T. Ekowati ◽

E. Prasetyo ◽

M. Handayani

Keyword(s):

Beef Cattle ◽

Influencing Factors ◽

Economic Efficiency ◽

Production Factor ◽

Farm Household ◽

Cattle Production ◽

Cattle Farm ◽

Farm Scale ◽

Beef Cattle Production ◽

On Farm

The study was aimed to analyze the on-farm agribusiness subsystem approach at farm household, to analyze beef cattle production influencing factors and to analyze economic efficiency of beef cattle farm. The method use for research was survey method at Wirosari District and Purwodadi District, Grobogan Regency as research location. Each district was determined two villages to obtain data from respondent. Quota sampling method was use for determination the number of beef cattle farm household without a counting of population as a sampling frame. The number of respondent for each village was 20 farmers, so the total respondent was 80 farmers. Data were analyzed descriptively for on farm sub-system agribusiness approach, multiple linear regression and economic efficiency. The research result showed that the on-farm agribusiness subsystem was on moderate to good condition, the influencing factors of production were breed, forage, concentrate, health, reproduction, labor, year of farming and agribusiness implementation. The value of reproduction efficiency was 8.975 higher than 1, it was not efficient. The efficiency of farm scale, forage, concentrate, health and labor were 0.352; 0.128; 0.0148; 0.0235 and 0.0834 respectively less than 1, and it had not been efficient yet. The conclusion of research was the agribusiness implementation in beef cattle farming was in moderate and good criteria and gave the benefit to farmers. Production factors of farm scale, forage, concentrate, health, reproduction, labor, years of farming and agribusiness implementation were influence to the beef cattle production. The efficiency of farm scale, forage, concentrate, health, and labor on the beef cattle farm were not been efficient yet, while reproduction became an inefficient production factor.

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SIZE AND EFFECTIVENESS OF FARMS SPECIALIZING IN THE PRODUCTION OF BEEF CATTLE ON THE BACKGROUND OF ALL AGRICULTURAL FARMS

Annals of the Polish Association of Agricultural and Agribusiness Economists ◽

10.5604/01.3001.0013.7793 ◽

2020 ◽

Vol XXII (2) ◽

pp. 70-79

Author(s):

Dorota Komorowska

Keyword(s):

Resource Management ◽

Beef Cattle ◽

Economic Efficiency ◽

Farm Size ◽

Cattle Production ◽

Management Effectiveness ◽

Low Level ◽

Beef Cattle Production ◽

Production Subsidies ◽

Production Resources

The aim of the study is the assessment of the management effectiveness of production resources on farms of various sizes specializing in beef cattle production against the background of total results in farms covered by agricultural accounting in the FADN system in 2017. The assessment was carried out in terms of organization and the intensity of production, production and economic results as well as the efficiency of resource management. Production intensity on farms focused on beef cattle production was found to be clearly lower, therefore, productivity and profitability settled on a low level. For most farms specializing in beef cattle production, subsidies determined income, however, when their size increased, the share of subsidies in income generally dropped. Decreasing cost-intensity in production caused it. Accordingly, along with an increase in the size of the compared farm groups, the differences in the level of income and economic efficiency of resource management clearly decreased. Therefore, it can be assumed that the increase of farm size specializing in beef cattle production is a way to improve effectiveness, especially the economic effectiveness of resource management.

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INFLUENCE OF MATURE COW WEIGHT ON ECONOMIC EFFICIENCY IN BEEF CATTLE PRODUCTION

Canadian Journal of Animal Science ◽

10.4141/cjas75-028 ◽

1975 ◽

Vol 55 (2) ◽

pp. 233-250 ◽

Cited By ~ 6

Author(s):

C. A. MORRIS ◽

J. W. WILTON

Keyword(s):

Beef Cattle ◽

Economic Efficiency ◽

Market Price ◽

Farm Size ◽

Cattle Production ◽

Gross Margin ◽

Economic Values ◽

High Feed ◽

Beef Cattle Production ◽

Beef Prices

Linear programming has been used to investigate with a farm level model the influence of mature cow weight on economic efficiency in beef cattle production. Four other factors are considered: (1) farm size, (2) herd size, (3) beef and feed prices, and (4) a marketing option (i.e. the facility to feed home-grown crops or to feed and sell home-grown crops). Intermediate prices represent Ontario conditions for 1972. The model describes straightbred production, and is integrated in the sense that it includes a cow–calf operation with replacements bred on the farm, a beef feedlot for steers and surplus heifers, cropping, and the labor and capital required for livestock and cropping. Farm gross margin was the criterion for comparing the 450 combinations of factors, as this was considered the most relevant criterion for the farmer. Comparisons were made only within farm sizes. Optimal plans did not always correspond in ranking for gross margin/cow, gross margin/kg and farm gross margin. In general, the larger cows produced larger farm gross margins. The most important exceptions were under conditions of high feed prices relative to beef prices, where intermediate or small-sized cows were most profitable, depending on the farm size. With high beef prices, economic values (as defined in the text) for mature cow weights ranged from 33 to 51 % of the market price for beef. At intermediate feed and beef prices, economic values were smaller, averaging $0.083/kg or 11.6% of the market price for beef. Because of the assumption in the model of proportionality in growth, the economic values for weaning weight and daily gain could be derived from those for mature weight, giving average values of $0.181/kg and $4.51 per 0.1 kg/day, respectively. With high feed prices (relative to beef prices), economic values were negative under most conditions.

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

Journal of Cleaner Production ◽

10.1016/j.jclepro.2021.127750 ◽

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

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

Livestock Science ◽

10.1016/j.livsci.2013.12.006 ◽

2014 ◽

Vol 160 ◽

pp. 21-28 ◽

Cited By ~ 15

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

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

Agricultural Systems ◽

10.1016/j.agsy.2021.103247 ◽

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

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183 Designing Research for Beef Cattle Production in Extensive Environments

Journal of Animal Science ◽

10.1093/jas/skab235.177 ◽

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.

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

Journal of Animal Science ◽

10.1093/jas/skab235.771 ◽

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.

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