Effect of Farm Size on Sustainability of Beef Cattle Production

2007 ◽  
Vol 31 (1) ◽  
pp. 75-87 ◽  
Author(s):  
Vecdi Demircan ◽  
Hayati Koknaroglu
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.


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>


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 &lt; 0.0001), average daily gain (P &lt; 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.


2021 ◽  
Vol 4 (1) ◽  
pp. e2021020
Author(s):  
Hassan Nima HABIB ◽  
Wessam Monther Mohammed SALEH ◽  
Qutaiba J. GHENI ◽  
Alfred S. KAROMY

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