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

Author(s):  
Dorota Komorowska

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.

1975 ◽  
Vol 55 (2) ◽  
pp. 233-250 ◽  
Author(s):  
C. A. MORRIS ◽  
J. W. WILTON

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.


2018 ◽  
Vol 43 (1) ◽  
pp. 76 ◽  
Author(s):  
T. Ekowati ◽  
E. Prasetyo ◽  
M. Handayani

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.   


1998 ◽  
Vol 2 (2) ◽  
pp. 6
Author(s):  
Carlos Humberto García ◽  
Luz María Calle

<p>Se presentan los resultados de aplicar una metodología rápida y económica para tipificar sistemas de producción bovinos a partir de datos obtenidos de fuentes secundarias. La metodología describe modelos estructurales de producción ganadera y los ubica espacialmente determinando sistemas modales. Para ello se utilizan estadísticas básicas del departamento de Santander (Colombia), que asumen el municipio como unidad de análisis. Se proponen y usan algunas variables para el desarrollo y cálculo de indicadores relacionados con aspectos estructurales de los sistemas de producción, tales como la ocupación y uso de la superficie agropecuaria, la estructura demográfica bovina, el tamaño predial de las fincas, la distribución rural y urbana de la población humana, la vacunación contra la fiebre aftosa y la utilización de pastos mejorados. Mediante técnicas estadísticas de Análisis Multivariado, Correlación Múltiple, Análisis de Componentes Principales y Análisis Jerárquico de Conglomerados fue posible identificar tipologías, calculando matemáticamente sus descriptores. Así, se identifican y describen cuatro tipologías estructurales: bovinos de cría en el modelo de economía campesina, bovinos para producción de carne, bovinos como actividad complementaria de la economía campesina agrícola y bovinos de cría y levante en un modelo pre-empresarial. La ubicación espacial de las tipologías se realizó dentro de subregiones naturales (Zona Fría, Montaña Santandereana, Hoyas de los Ríos Ponce Chica mocha y Suárez y Valle del Magdalena Medio), lo cual condujo a la identificación de doce subgrupos que se priorizaron de acuerdo con su inventario ganadero para una mejor descripción de las tipologías.</p><p> </p><p><strong>Methodological approach for classification of cattle production systems from secondary information sources</strong></p><p>A rapid and low cost methodology was applied to classify cattle production systems using data from secondary sources. This methodology identifies, describes and specially locates modal cattle production systems. Basic information on biophysical and socioeconomical aspects of the department of Santander (Colombia) was used for this purpose, considering the municipality as the unit of analysis. A set of variables was used to calculate structural indicators of the production systems such as: land use in agriculture, structure of the bovine population, farm size, use of improved pastures, foot and mouth disease vaccination records, as well as rural and urban human populations. In order to define and calculate the descriptors for classification of these systems multivariate analysis, multiple correlation, principal components and cluster analysis were applied. Four system s were identified and described: (1) cow-calf owned by small farmers, (2) beef cattle production enterprises, (3) small operations of cow-calf and feeder cattle, and (4) bovines as complement to crop production in small farms. A methodology was developed to locate the above systems under the natural subregions: Cold zones, Santander highlands, Fonce Chicamocha and Suárez basin rivers and Medium Magdalena Valley; thus leading to the identification of 12 subgroups, which were prioritized according to their cattle populations, and as a result provide adequate means to describe beef cattle production systems.</p>


1996 ◽  
Vol 28 (1) ◽  
pp. 180-192 ◽  
Author(s):  
Lawrence L. Falconer ◽  
Charles R. Long ◽  
James M. McGrann

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.


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.


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