Computer models of forage management on beef cattle farms

1988 ◽  
Vol 30 (1-2) ◽  
pp. 189-194
Author(s):  
K.G Rickert ◽  
G.M McKeon
Keyword(s):  
Beef Cattle ◽  
Computer Models ◽  
Cattle Farms ◽  
Forage Management

scholarly journals KARAKTERISTIK PETERNAK TERHADAP KEMAMPUAN BETERNAK SAPI POTONG DI KELURAHAN KLAMPOK KECAMATAN SANANWETAN KOTA BLITAR

2020 ◽  
Vol 14 (1) ◽  
pp. 44-58
Author(s):  
Achmad Sambodo ◽  
Agustina Widyasworo ◽  
Resti Yuliana Rahmawati
Keyword(s):  
Data Collection ◽  
Beef Cattle ◽  
Case Studies ◽  
Research Methods ◽  
Quantitative Research ◽  
Education Level ◽  
Quantitative Research Methods ◽  
Long Time ◽  
Cattle Farms ◽  
Collection Methods

This study aims to determine the characteristics of breeders with regard to the ability to keep beef cattle in Klampok Village, Sananwetan District, Blitar City. The material in this study concerns beef cattle farms in Klampok sub-district, sananwetan sub-district, Blitar city using quantitative research methods in the form of case studies with 33 farmer respondents. Data collection methods are conducted through surveys, pre-questioned interviews and observation. The results obtained from this study are that the ability to raise beef cattle is appropriate in the category. Breeding experience has a significant effect on the ability to keep beef cattle, as Klampok has had a business for raising beef cattle for a long time, while age and education level have no effect because age and education level in the study area are relative. uniform so that they have no effect, then the number of animal possession has no effect. because the breeders in the Klampok sub-district consider beef cattle only as an afterthought, so it has no significant effect on the ability to keep beef cattle

Clostridium difficile in beef cattle farms, farmers and their environment: Assessing the spread of the bacterium

2017 ◽  
Vol 210 ◽  
pp. 183-187 ◽  
Author(s):  
Cristina Rodriguez ◽  
Djalal-Eddine Hakimi ◽  
Raphael Vanleyssem ◽  
Bernard Taminiau ◽  
Johan Van Broeck ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Beef Cattle ◽  
Cattle Farms

scholarly journals Erratum to: Antibiotic Resistance in Airborne Bacteria Near Conventional and Organic Beef Cattle Farms in California, USA

2016 ◽  
Vol 227 (10) ◽  
Author(s):  
Helen M. Sanchez ◽  
Cristina Echeverria ◽  
Vanessa Thulsiraj ◽  
Amy Zimmer-Faust ◽  
Ariel Flores ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Beef Cattle ◽  
Airborne Bacteria ◽  
Cattle Farms

Cefotaxime-resistant E. coli in dairy and beef cattle farms—Joint analyses of two cross-sectional investigations in Germany

2017 ◽  
Vol 142 ◽  
pp. 39-45 ◽  
Author(s):  
Katja Hille ◽  
Inga Ruddat ◽  
Annette Schmid ◽  
Johanna Hering ◽  
Maria Hartmann ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Cross Sectional ◽  
E Coli ◽  
Cattle Farms

scholarly journals Ex-Post Clustering of Brazilian Beef Cattle Farms Using Soms and Cross-Evaluation Dea Models

10.5772/51324 ◽  
2012 ◽  
Author(s):  
Joao Carlos Correia Baptista Soares de Mello ◽  
Eliane Goncalves ◽  
Lidia Angulo ◽  
Luiz Biondi ◽  
Urbano Gomes Pinto de Abreu ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Ex Post ◽  
Dea Models ◽  
Cattle Farms

scholarly journals Resources, production, and income on eastern West Virginia beef cattle farms

1967 ◽  
Author(s):  
Alfred L. Barr ◽  
G. E. Toben ◽  
Charles C. Wilson
Keyword(s):  
West Virginia ◽  
Beef Cattle ◽  
Cattle Farms

scholarly journals ANALISIS TINGKAT KEUNTUNGAN USAHA PENGGEMUKAN SAPI POTONG RAKYAT DI KABUPATEN WONOGIRI

2017 ◽  
Vol 5 (2) ◽  
pp. 33 ◽  
Author(s):  
Deasy Happyana
Keyword(s):  
Beef Cattle ◽  
Drug Costs ◽  
Production Costs ◽  
Labor Costs ◽  
Cattle Breeding ◽  
Feeder Cattle ◽  
Business Profit ◽  
Feed Costs ◽  
The Cost ◽  
Cattle Farms

Beef cattle breeding business in Wonogiri District is dominated by small scale in which capital and profits too low. The size of the profits derived from the balance of the sale value of production and production costs that is issued by the breeder. The maximum profit would be achieved if all factors of production have been allocated in an optimal and efficient use, both technically and economically efficient manner. Objective analysis profit function is to describe the situation now, the circumstances in the future or planning and action of a business related to the rate of business profit and net income scale beef cattle farms of the people.The results showed that total revenue (TR) of beef cattle breeding business people have an average of Rp.89.360.625.00 per farmer per one period of fattening cattle, while the total cost (TC) on average Rp.85.119.873.00 each farmers per one period of fattening cattle. So that the magnitude of the rate of profit(π) obtained by each farmer in one period of fattening cattle for Rp.4.240.752.00 and the R / C ratio of 1:05. The results of the analysis showed that the profit rate of beef cattle breeding business in Wonogiri Regency financially advantageous (value profit π>  0 and the return value cost ratio of R / C> 1). Results of regression equation analysis function simultaneously benefit breeders show concentrate feed costs, labor costs and costs of cows significant ((P <0.05)) on the level of business profit beef cattle farms in Wonogiri. Based on the calculation of the value of R2 adjusted Rvalues obtained2  83.2% showed variable variation concentrate feed and forage costs, drug costs, labor costs, fees and charges cage feeder cattle can be explained by either a variable rate of the business profits of beef cattle breeders. The remaining 16.8% operating income level variable cattle ranchers explained by variations in other variables outside the model. Partially variable concentrate feed costs, labor costs and the cost of feeder cattle significantly (P <0.05) to the level of business profit breeding beef cattle people. As for the cost of forage ariable drug costs are not significant (P> 0.5) on the level of beef cattle breeding business benefit of the people. Keywords: Function Gain, Beef Cattle, Wonogiri

scholarly journals Measuring the sustainability of beef supply chain with rapid appraisal for beef supply chain

2021 ◽  
pp. 2488-2507
Author(s):  
Aries Susanty ◽  
Ratna Purwaningsih ◽  
Haryo Santoso ◽  
Anggun Novi Arista ◽  
Benny Tjahjono
Keyword(s):  
Supply Chain ◽  
Beef Cattle ◽  
Supply Chains ◽  
Research Study ◽  
Current Status ◽  
Sustainability Index ◽  
Rapid Appraisal ◽  
Index Value ◽  
Cattle Farms ◽  
Beef Supply Chain

Background and Aim: Nationally, there has always been a gap between the demand for beef and its supply, although supply growth is proportional with demand growth and even exceeds it in some regions in Indonesia. This research study aims to measure the sustainability status of the beef supply chain and applies the developed measurement system to a specific beef supply chain by identifying suitable indicators and their scale. Moreover, this research study provides some recommendations for the improvement of the sustainability status of the beef supply chain. Materials and Methods: In this research study, 11 and nine indicators were analyzed to assess the sustainability status of the beef supply chain at the farm and slaughterhouse chain levels. A rapid appraisal for beef supply chain was applied to rapidly assess the sustainability status of beef supply chains using Multidimensional Scaling (MDS). The Delphi method was utilized as an iterative process to collect data and obtain consensus of experts' judgments regarding the policies that should be implemented to improve the most sensitive indicator affecting the economic, social, and environmental dimensions. Results: Analysis of ordination with MDS shows the regional sustainability index value for multidimensional approaches of beef cattle farms and beef slaughterhouses. The sustainability index value for beef cattle farms was 56.14 (moderately sustainable), 48.02 (fairly unsustainable), and 48.77 (fairly unsustainable) in Semarang, Sragen, and Boyolali, respectively. Moreover, the sustainability index value for beef slaughterhouses was 47.05 (fairly unsustainable), 54.83 (moderately sustainable), and 54.19 (moderately sustainable) in Semarang, Sragen, and Boyolali, respectively. Policy recommendation was focused on the basis of the results of leverage analysis, which highlighted the most indicative factor affecting sustainability for each dimension. Conclusion: Measurement results revealed that the achievement of beef supply chain sustainability requires targeted efforts through the deployment of several policies as the current status of sustainability in beef farms and beef slaughterhouses was only inclined toward moderately sustainable and fairly unsustainable. Although all the surveyed regions in this study can meet the regional needs of beef meat on their own and even distribute the excess to other regions, none of the beef supply chains of the surveyed region indicated good sustainability.

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