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Journal articles on the topic 'Beef farming'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Hrabalová, A., and K. Zander. "Organic beef farming in theCzechRepublic: structure, development and economic performance." Agricultural Economics (Zemědělská ekonomika) 52, No. 2 (2012): 89–100. http://dx.doi.org/10.17221/5000-agricecon.

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The paper analyzes the development and the prospects of organic farming in the Czech Republic with particular emphasis on organic beef farming. The background information on organic farming in the Czech Republic regarding the structure of land use, legislation and support payments as well as a short description of the market for organic beef is provided. An analysis of the economic performance and of the impact of payments on the economic situation of organic beef farms follows. Grazing livestock farms, mostly cow-calf systems, are the most widespread farm type in the Czech Republic. Five typi

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Dzhulamanov, К. М., E. B. Dzhulamanov, and B. S. Sapargalieva. "STUD BREEDING IN THE BEEF FARMING." Vestnik of the Russian agricultural science, no. 2 (April 11, 2018): 49–51. http://dx.doi.org/10.30850/vrsn/2018/2/49-51.

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A study to find additional reserves for expanding the breeding beef cattle base and improving methods for selecting parental pairswas carried out. The issues of technical approachwere considered to substantiate the milkingabilityaccording to the herd. It characterizes the development of calves in the suckling period and significantlydetermines the weaning weight and the possibility of selection according to this basis. The method for selection of sires of Hereford and Aberdeen-Angus breeds with forecasting of breeding value of the selected trait in the reproduced progeny is presented. The inde

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3

White, T. A., V. O. Snow, and W. McG King. "Intensification of New Zealand beef farming systems." Agricultural Systems 103, no. 1 (2010): 21–35. http://dx.doi.org/10.1016/j.agsy.2009.08.003.

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4

Ekowati, T., E. Prasetyo, and M. Handayani. "The optimation of cow-calf beef cattle and paddy farming integration on farmer household." Journal of the Indonesian Tropical Animal Agriculture 45, no. 2 (2020): 143–52. http://dx.doi.org/10.14710/jitaa.45.2.143-152.

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Farmer households generally operate food crops and livestock subsectors that have not fully implemented well, so an optimal farming has not been achieved. This study aimed to analyze optimation of cow-calf beef cattle and paddy farming integration and simulation changing in input prices and the usage of resources to the optimal model. Survey method was used in the research in Grobogan Regency by determining Wirosari District and Purwodadi District. Quota sampling method is used to determine the number of respondents without counting the population as a sampling frame. The number of respondents

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5

Uys, Pieter, and Christo Bisschoff. "Identifying consumer buying preferences of beef." Problems and Perspectives in Management 14, no. 4 (2016): 256–63. http://dx.doi.org/10.21511/ppm.14(4-1).2016.15.

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This study investigated the drivers which influence consumers’ beef buying behavior. A validated questionnaire was used to collect the data and to evaluate consumer beef purchasing behavior. Exploratory factor analysis was employed to analyze the data while Cronbach alpha coefficient was used to calculate the reliability of the drivers. Satisfactory levels of reliability were recorded. The analysis identified eight drivers that influence the buying behavior of consumers when they purchase beef products. These drivers were: quality of the meat, buying preference, farming practices, intention to

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6

LONG, W. HARWOOD. "THE PLACE OF BEEF PRODUCTION IN BRITISH FARMING." Journal of proceedings of the Agricultural Economics Society 9, no. 1 (2008): 4–18. http://dx.doi.org/10.1111/j.1477-9552.1950.tb02136.x.

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7

Niiyama, Yoko. "Beef Farming in Japan: Present problems and Future Direction." Journal of Rural Problems 24, no. 4 (1988): 197–209. http://dx.doi.org/10.7310/arfe1965.24.197.

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8

Burrow, Heather. "Strategies for Increasing Beef Cattle Production under Dryland Farming Systems." Indonesian Bulletin of Animal and Veterinary Sciences 29, no. 4 (2019): 161. http://dx.doi.org/10.14334/wartazoa.v29i4.2452.

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Integrated cattle and dryland farming systems in Indonesia use a range of crop residues and by products to feed cattle through intensive and extensive production systems. Intensive systems use stalls to house cattle and cut and carry feeding systems, primarily for fattening cattle. Under extensive systems, cattle are free‐grazing,and the systems apply only where greater land areas exist and they are used for breeding and fattening cattle. This paper therefore specifically focuses on the opportunities that exist to improve beef production in dryland farming systems in Indonesia. The best strate

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9

Krejčí, Igor, Pavel Moulis, Jana Pitrová, Ivana Tichá, Ladislav Pilař, and Jan Rydval. "Traps and Opportunities of Czech Small-Scale Beef Cattle Farming." Sustainability 11, no. 15 (2019): 4245. http://dx.doi.org/10.3390/su11154245.

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Small farmers represent a majority of the European Union (EU) farming sector and are considered the cornerstone of both the current and future sustainable EU agriculture. The dynamic complexity of livestock systems hinders the understanding of its behaviour, as well as recognizing the causes of problems and sources of resistance to applied policies and strategies. Livestock system behaviour needs to be understood in order to find leverage points and identify efficient solutions. The presented study depicts issues of small-scale beef cattle farmers in the market environment from a systemic pers

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10

Vale, Petterson, Holly Gibbs, Ricardo Vale, et al. "The Expansion of Intensive Beef Farming to the Brazilian Amazon." Global Environmental Change 57 (July 2019): 101922. http://dx.doi.org/10.1016/j.gloenvcha.2019.05.006.

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11

Rembang, Very L. H., Judy M. Tumewu, and Jolyanis Lainawa. "Analysis of North Sulawesi’s Beef Cattle Farming Empowerment Strategy with Websites." International Journal of Applied Business and International Management 5, no. 3 (2020): 51–62. http://dx.doi.org/10.32535/ijabim.v5i3.981.

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The production of beef cattle farming enterprises in North Sulawesi has not been able to meet people consumption needs. This condition is due to their slow absorption of breeding technology information among farmers, while the existing internet technology is merely used for entertainment needs. This research paper is to encourage the formation of an empowering model for beef cattle farmers in rural areas using websites. The findings suggested that the design model should be based upon farmer’s capabilities and existence of farmers, since they have adequate information about websites as outreac

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12

Rumor, Clelia, Marta Brscic, Barbara Contiero, Giulio Cozzi, and Flaviana Gottardo. "Assessment of finishing beef cattle mortality in a sustainable farming perspective." Livestock Science 178 (August 2015): 313–16. http://dx.doi.org/10.1016/j.livsci.2015.06.013.

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13

Setianto, Novie Andri, Nunung Noor Hidayat, and Pambudi Yuwono. "Modeling smallholder beef farming: a systems thinking’s step by step approach." IOP Conference Series: Earth and Environmental Science 247 (April 9, 2019): 012013. http://dx.doi.org/10.1088/1755-1315/247/1/012013.

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14

Marques, P. R., J. O. J. Barcellos, C. McManus, et al. "Competitiveness of beef farming in Rio Grande do Sul State, Brazil." Agricultural Systems 104, no. 9 (2011): 689–93. http://dx.doi.org/10.1016/j.agsy.2011.08.002.

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15

Vogeler, Iris, Ronaldo Vibart, and Rogerio Cichota. "Potential benefits of diverse pasture swards for sheep and beef farming." Agricultural Systems 154 (June 2017): 78–89. http://dx.doi.org/10.1016/j.agsy.2017.03.015.

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16

Amalo, Stefanus, Budi Hartono, and Hari Dwi Utami. "Model Simulasi Peningkatan Ternak Sapi Induk Pola Gaduhan terhadap Curahan Tenaga Kerja: Studi Kasus di Kecamatan Amanuban Selatan, Propinsi Nusa Tenggara Timur." Sains Peternakan 10, no. 1 (2017): 30. http://dx.doi.org/10.20961/sainspet.10.1.30-38.

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<p class="p1">Research was carried out on South Amanuban Sub District, East Nusa Tenggara. The objective of this study was at analyse labour allocation in raising beef cattle and non beef cattle farming from contract farming pattern, and to determine simulation model for cow number enhancement. Data were collected by interview method using structured questionaire. In total, 117 respondents were obtained by purposive sampling method. Data were analysed using Two Stage Least Square (2SLS) method and simulation analysis with application of SAS 9.1 program. Result showed that households’ lab

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Amalo, Stefanus, Budi Hartono, and Hari Dwi Utami. "Model Simulasi Peningkatan Ternak Sapi Induk Pola Gaduhan terhadap Curahan Tenaga Kerja: Studi Kasus di Kecamatan Amanuban Selatan, Propinsi Nusa Tenggara Timur." Sains Peternakan 10, no. 1 (2017): 30. http://dx.doi.org/10.20961/sainspet.v10i1.4832.

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<p class="p1">Research was carried out on South Amanuban Sub District, East Nusa Tenggara. The objective of this study was at analyse labour allocation in raising beef cattle and non beef cattle farming from contract farming pattern, and to determine simulation model for cow number enhancement. Data were collected by interview method using structured questionaire. In total, 117 respondents were obtained by purposive sampling method. Data were analysed using Two Stage Least Square (2SLS) method and simulation analysis with application of SAS 9.1 program. Result showed that households’ lab

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18

Wulandari, Wahyuni Amelia, Jhon Firison, Zul Efendi, Harwi Kusnadi, and Erpan Ramon. "The use of family labor in beef cattle cultivation (case in women farmer groups receiving beef cattle assistance in Bengkulu)." E3S Web of Conferences 306 (2021): 02037. http://dx.doi.org/10.1051/e3sconf/202130602037.

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Beef cattle cultivation is a side job for farmers which is carried out by family labor and the incomes are used to finance various needs of the farmers’ family. This study aims to determine the use of family labor in beef cattle cultivation and the use of livestock sales. The research was carried out from October 2020 to April 2021 in two Women Farmers Groups (WFG) in Bengkulu City and Seluma Regency who received beef cattle assistance from the government. Data were analyzed descriptively. The results showed that in general, beef cattle cultivation was carried out jointly by man and women farm

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19

Tumewu, Judi M., V. V. J. Panelewen, and A. D. P. Mirah. "ANALISIS USAHA TANI TERPADU SAPI POTONG DAN PADI SAWAH KELOMPOK TANI “KEONG MAS” KECAMATAN SANGKUB, KABUPATEN BOLAANG MONGONDOW UTARA (STUDI KASUS)." ZOOTEC 34, no. 2 (2014): 1. http://dx.doi.org/10.35792/zot.34.2.2014.5521.

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ABSTRACT ANALYSIS OF INTEGRATED FARMING SYSTEM BETWEEN BEEF CATTLE AND RICE PADDY IN FARMERS GROUP OF KEONG MAS AT SANGKUB DISTRICT, NORTHBOLAANG MONGONDOW REGENCY (CASE STUDY). Integrated farming system of beef cattle and rice paddy is a combination of beef cattle fattening and rice paddy managed by “Keong Mas” Farmers Group. Feces and urine of beef cattle were materials to produce an organic fertilizer and paddy rice straw can be used as feed for beef cattle. The combination of fattening beef cattle and rice paddy straw has a purpose to create minimum cost and using of potential local resour

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20

Soetjipto, Noer, Zaenal Fanani, and Nanang Dwi Wahyono. "The Analysis on Income of Beef Cattle Breeders in Various Crop Patterns in Umbulsari District, Jember Regency." Journal of Development Research 2, no. 1 (2018): 21. http://dx.doi.org/10.28926/jdr.v2i1.32.

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The objective of research is: (1) to analyze the cost incurred at integrated farming involving beef cat-tle breeding and various crop patterns; (2) to estimate the revenue received from the integrated farm-ing involving beef cattle breeding and various crop patterns; (3) to find out the income obtained from the integrated farming involving beef cattle breeding and various crop patterns; and (4) to acknowledge the balance of revenue and cost of the integrated farming involving beef cattle breeding and various crop patterns. Research was located in Umbulsari District, Jember Regency, starting fr

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21

Wiyabot, Thunwa, and Piyalap Manakit. "Importance of Beef Cattle Farming Model and Appropriate Benefits for Small-Scale Farmers in Nakhon Sawan Province, Thailand." Journal of Agricultural Science 13, no. 7 (2021): 101. http://dx.doi.org/10.5539/jas.v13n7p101.

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The objective of this study was to investigate the feasibility and reasonable production costs for small cattle farmers in Nakhon Sawan Province of Thailand. Small-scale beef cattle are naturally reared by farmers without planning. Studying the primary data of beef cattle farming models and comparing the economic return costs of each form of beef cattle farming among smallholder farmers in Nakhon Sawan Province of Thailand shows that the yields are not worthwhile. By applying the specific method to 25% of the area of all farms in Nakhon Sawan Province and comparing the descriptive statistical

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22

Setianto, Novie Andri. "Using Behavioural Validity Method to Analyse the Dynamic Model of Smallholder Beef Farming Systems in Indonesia." ANIMAL PRODUCTION 18, no. 1 (2016): 43. http://dx.doi.org/10.20884/1.anprod.2016.18.1.551.

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Abstract. Smallholders beef farming is a complex systems which has wide range of stakeholders whose interests are varied. Systems thinking is one approach which can be recommended to study the complexity of a system. Model is developed to mimic the situation of the farming situation in the real world. A model opens up possibilities for simulating an intervention easier, less dangerously, and more ethically than experimenting in the real world. However, before a model were used to simulate any intervention strategy, it needs to be validated. This paper aimed to describe one validity method whic

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23

Otampi, Ricky S., F. H. Elly, M. A. Manese, and G. D. Lenzun. "PENGARUH HARGA PAKAN DAN UPAH TENAGA KERJA TERHADAP USAHA TERNAK SAPI POTONG PETANI PETERNAK DI DESA WINERU KECAMATAN LIKUPANG TIMUR KABUPATEN MINAHASA UTARA." ZOOTEC 37, no. 2 (2017): 483. http://dx.doi.org/10.35792/zot.37.2.2017.16786.

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INFLUENCE OF FEED PRICE AND LABOR WAGE TO PROFIT OF CATTLE FARMING IN WINERU VILLAGE EAST LIKUPANG SUB DISTRICT NORTH MINAHASA REGENCY. The development of beef cattle farming has a positive impact on economic development. Beef cattle farming can increase farmers' income, provide animal food, provide raw materials for various industries and create employment, especially in central areas of beef cattle. Some problems that have been experienced by farmers is the availability of feed and human resources. Based on the problem, research has been done to analyze the profit of beef cattle farming and

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Isyanto, Agus Yuniawan, and Sudrajat Sudrajat. "KERAGAAN USAHA PENGGEMUKAN SAPI POTONG DI KABUPATEN CIAMIS." MIMBAR AGRIBISNIS: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis 5, no. 1 (2019): 33. http://dx.doi.org/10.25157/ma.v5i1.1578.

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The beef cattle fattening farming in Ciamis Distrcit has the potential to increase regional economy and farmer income. The study was carried out using literature studies using secondary data which was analyzed descriptively to describe the performance of beef cattle fattening farming in Ciamis District. The results showed that beef cattle fattening farming in Ciamis District needed to be developed through increased production, productivity and efficiency supported by government policies.

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Koo, Jee-Hee, and Sang-Rak Lee. "Telemedicine System for Korean Beef Cattle Converging Livestock Farming Practices & ICT." Journal of Digital Convergence 14, no. 12 (2016): 217–24. http://dx.doi.org/10.14400/jdc.2016.14.12.217.

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26

Magne, M. A., M. Cerf, and S. Ingrand. "Understanding beef-cattle farming management strategies by identifying motivations behind farmers’ priorities." Animal 6, no. 6 (2012): 971–79. http://dx.doi.org/10.1017/s175173111100231x.

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Nurtini, S., F. T. Haryadi, and F. K. Werdhani. "Time allocation of family Labor in beef cattle farming based on gender." IOP Conference Series: Earth and Environmental Science 387 (December 5, 2019): 012092. http://dx.doi.org/10.1088/1755-1315/387/1/012092.

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Rhymes, Jennifer M., Sophie Wynne-Jones, A. Prysor Williams, et al. "Identifying barriers to routine soil testing within beef and sheep farming systems." Geoderma 404 (December 2021): 115298. http://dx.doi.org/10.1016/j.geoderma.2021.115298.

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Pramusintho, Bagus, Slamet Hartono, Dwidjono Hadi Darwanto, and Any Suryantini. "THE COMPARISON OF TECHNICAL EFFICIENCY ON CATTLE BREEDING BUSINESS BETWEEN SHARE-BEEF CATTLE MODEL AND FARMER-OWN BEEF CATTLE MODEL AT MUARO JAMBI REGENCY, JAMBI PROVINCE." Buletin Peternakan 41, no. 4 (2017): 472. http://dx.doi.org/10.21059/buletinpeternak.v41i4.18427.

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The lack of capital for investment and limited access for small beef cattle farming to obtain credit from financial institution have contributed to the occurrence of share-beef cattle in rural areas. Through share-beef cattle pattern, the farmers (tenant) can rent livestock from other parties (individual nor government) within a share-beef cattle contract agreement. The purposes of this study were to determine the technical efficiency and the factors which influence the inefficiency from 108 small beef cattlebreeding, which consists of 59 farming operated by owner and 49 operated by tenant. Th

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Addis, Addisu H., Hugh T. Blair, Paul R. Kenyon, Stephen T. Morris, and Nicola M. Schreurs. "Optimization of Profit for Pasture-Based Beef Cattle and Sheep Farming Using Linear Programming: Young Beef Cattle Production in New Zealand." Agriculture 11, no. 9 (2021): 849. http://dx.doi.org/10.3390/agriculture11090849.

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In New Zealand, surplus dairy-origin calves not needed as replacement or for beef cattle farms requirements for finishing are commercially slaughtered within two weeks of age. This system has perceived ethical issues which can potentially negatively affect the dairy industry. Therefore, a young beef cattle production system to maximize the use of excess calves within the land size constraint is considered as an alternative to a traditional 18 to 33-months slaughtering system. The current study examined the effects of young beef cattle production with slaughter ages at 8 to 14 months on pasture

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Tumober, Jimmy Ch, A. Makalew, A. H. S. Salendu, and E. K. M. Endoh. "ANALISIS KEUNTUNGAN PEMELIHARAAN TERNAK SAPI DI KECAMATAN SULUUN TARERAN KABUPATEN MINAHASA SELATAN." ZOOTEC 34, no. 2 (2014): 18. http://dx.doi.org/10.35792/zot.34.2.2014.5523.

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ABSTRACT PROFIT ANALYSIS OF BEEF FARMING AROUND SULUUN TARERAN DISTRICT IN SOUTH MINAHASA REGENCY. Generally, communities of Suluun Tareran district were household farmers. Beef cattle populations in this area were about 308 head spreading at eight villages. The problem was how much the production cost (feeding, labor, and other feed supplement) do affect the profit of beef farming around this area. The objective of this study was to evaluate effect of production cost on income and profit of beef farming system in Suluun Tareran district of South Minahasa regency. Research was conducted using

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Ekowati, T., E. Prasetyo, and M. Handayani. "The factors influencing production and economic efficiency of beef cattle farm in Grobogan Region, Central Java." Journal of the Indonesian Tropical Animal Agriculture 43, no. 1 (2018): 76. http://dx.doi.org/10.14710/jitaa.43.1.76-84.

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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

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Sugiarto, Moch, Yusmi Nur Wakhidati, Alief Einstein, and Khaerudin Khaerudin. "The Competitiveness of Beef Cattle Business on Various Agro-Ecological Zones in Tegal Regency." ANIMAL PRODUCTION 19, no. 2 (2018): 127. http://dx.doi.org/10.20884/1.jap.2017.19.2.604.

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The competitiveness of livestock business is one strategic issue to guarantee the empowerment and sustainability of small scale beef cattle business. The study conducted on the competitiveness of beef cattle business in Tegal regency aims at (1) identifying the competitiveness of beef cattle business in various agro-ecological zones and (2) analyzing factors influencing the business competitiveness. This study employs a survey method to 100 beef cattle farmers in Tegal Regency. The respondents are selected using a stratified random sampling technique based on the agro-ecological zones (highlan

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Ubalee, Duenrung, Sirawadee Arunyanart, and Weerapat Sessomboon. "Potentials and Suggestions for the Development of High-Quality Beef Industry in Thailand." Advanced Materials Research 931-932 (May 2014): 1669–75. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1669.

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This study focuses on potentials for development of high-quality beef industry in Thailand by reviewing information from various sources such as articles and web pages, including interviewing beef processors. We describe a situation of beef in ASEAN countries, demonstrated a beef supply chain and situation of high-quality beef in Thailand. Potentials and suggestion for development of high-quality beef industry are presented. This study shows that Thailand has potential for development of high-quality beef industry for exporting to ASEAN countries. However, there are problems in the supply chai

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Gayatri, Siwi, Vincent Gasso-tortajada, and Mette Vaarst. "Assessing Sustainability of Smallholder Beef Cattle Farming in Indonesia: A Case Study Using the FAO SAFA Framework." Journal of Sustainable Development 9, no. 3 (2016): 236. http://dx.doi.org/10.5539/jsd.v9n3p236.

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<span lang="EN-US">This article aims to assess the sustainability of smallholder beef cattle farms in Indonesia, where there is a national goal to improve the country’s beef self-sufficiency, and to explore and discuss potential improvement limitations and solutions. This article presents a sustainability assessment based on the FAO SAFA (Sustainability Assessment of Food and Agriculture Systems) of six selected family farms representing three types of family farming systems (with only family labour; with hired labour; and with hired labour and a 'middleman in marketing system'). Individ

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Furquim, Nelson Roberto, and Denise Cavallini Cyrillo. "Vantagens e desvantagens da pecuária no Brasil segundo atores da cadeia produtiva de carne bovina." O Mundo da Saúde 37, no. 3 (2013): 321–28. http://dx.doi.org/10.15343/0104-7809.2013373321328.

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Widiati, Rini, and Tri Satya Mastuti Widi. "Production Systems And Income Generation From The Smallholder Beef Cattle Farming In Yogyakarta Province, Indonesia." ANIMAL PRODUCTION 18, no. 1 (2016): 51. http://dx.doi.org/10.20884/1.anprod.2016.18.1.524.

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This study was aimed to determine the production systems of beef cattle which can generate the income of smallholder farmers. The study was conducted in Bantul and Sleman Regencies, Yogyakarta Province, Indonesia. In total of 210 beef cattle farmers were involved in semi structural interview. Data was collected in the dry season (July to September) of 2015. Descriptive analysis was carried out for the demographic, social, economic characteristic of respondents and beef cattle farm practices. Enterprise budgeting of beef cattle farms was made to analyse farm profit, return to management and fam

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38

Viet, A. F., P. Ezanno, E. Petit, J. Devun, R. Vermesse, and C. Fourichon. "Resilience of a beef cow-calf farming system to variations in demographic parameters1." Journal of Animal Science 91, no. 1 (2013): 413–24. http://dx.doi.org/10.2527/jas.2011-5058.

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39

Hamada, Toshiki. "A Study on Present Conditions and Problems of Small Scale Beef Cattle Farming." Journal of Rural Problems 27, no. 1 (1991): 18–27. http://dx.doi.org/10.7310/arfe1965.27.18.

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40

Szabó, F., E. Zele, J. P. Polgár, and Zs Wagenhoffer. "Study on peat bog soil pastures for sustainable development of beef cattle farming." Livestock Production Science 61, no. 2-3 (1999): 253–60. http://dx.doi.org/10.1016/s0301-6226(99)00074-3.

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Paul, Catherine J. Morrison, Warren E. Johnston, and Gerald A. G. Frengley. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform." Review of Economics and Statistics 82, no. 2 (2000): 325–37. http://dx.doi.org/10.1162/003465300558713.

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Heiberg, Erika J., and Karen Lykke Syse. "Farming autonomy: Canadian beef farmers reclaiming the grass through management-intensive grazing practices." Organic Agriculture 10, no. 4 (2020): 471–86. http://dx.doi.org/10.1007/s13165-020-00291-6.

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AbstractThis qualitative study asks farmers in Alberta, Canada, what are their motivations for using a practice in beef production called management-intensive grazing (MIG). By adopting this practice, these farmers engage in strategies of diversification and co-production that increase the autonomy and resilience of their farms. MIG allows farmers to defy conventional agricultural practice and engage in what can be labelled a repeasantization process, a process that contributes to the discussion about conventional farming versus agroecology.

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Subhan, A., R. Qomariah, Y. Pribadi, Awanis, and M. Yasin. "The profit analysis of beef cattle farming in Tanah Laut District, South Borneo." IOP Conference Series: Earth and Environmental Science 788, no. 1 (2021): 012192. http://dx.doi.org/10.1088/1755-1315/788/1/012192.

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Harahap, A. S., Hasnudi, and T. Supriana. "Analysis of factors affecting beef cattle farming income (case study in Langkat Regency)." IOP Conference Series: Earth and Environmental Science 782, no. 2 (2021): 022008. http://dx.doi.org/10.1088/1755-1315/782/2/022008.

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Rønningen, Katrina, Eirik Magnus Fuglestad, and Rob Burton. "Path dependencies in Norwegian dairy and beef farming communities: Implications for climate mitigation." Norsk Geografisk Tidsskrift - Norwegian Journal of Geography 75, no. 2 (2021): 65–78. http://dx.doi.org/10.1080/00291951.2020.1865443.

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Scholtz, MM, J. Du Toit, and FWC Neser. "Antagonism in the carbon footprint between beef and dairy production systems." South African Journal of Animal Science 44, no. 5 (2015): 17–20. http://dx.doi.org/10.4314/sajas.v44i5.4.

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Primary beef cattle farming in South Africa is largely extensive, whereas dairy farming is based on both total mixed ration and pasture production systems. Under natural rangeland conditions, decomposition of manure is aerobic, which produces carbon dioxide (CO2), part of which is absorbed by the regrowth of vegetation rather than released into the atmosphere, and water (H2O) as end products. Thus the cow releases methane (CH4) and the manure CO2. This is in contrast to intensive cow-calf systems in large parts of Europe and North America, where large quantities of manure are stockpiled and un

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Kibona, Cornel Anyisile, and Zhang Yuejie. "Factors that influence market participation among traditional beef cattle farmers in the Meatu District of Simiyu Region, Tanzania." PLOS ONE 16, no. 4 (2021): e0248576. http://dx.doi.org/10.1371/journal.pone.0248576.

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Market participation among beef cattle farmers is key to ensuring better income, food security, and sustainable beef supply. Farmers in the traditional beef cattle sector, nevertheless, are well known for their low market participation. This study, thus, sought to examine factors that influenced market participation among beef cattle farmers in the Meatu district of Simiyu region, Tanzania. The study randomly selected a sample size of 393 farmers. The cross-sectional data collected through interviews and questionnaires were analyzed using descriptive statistics and ordinary least squares (OLS)

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Damayanti, Putri Nurmalia, Trilas Sardjito, and Ragil Angga Prastiya. "THE RISK FACTORS OF REPEAT BREEDING ON BEEF CATTLE IN LICIN SUBDISTRICT, BANYUWANGI REGENCY, EAST JAVA PROVINCE." Jurnal Veteriner 21, no. 4 (2020): 550–57. http://dx.doi.org/10.19087/jveteriner.2020.21.4.550.

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Nowadays, beef cattle farms in Licin Subdistrict, Banyuwangi Regency have problems in providing beef demand because the less of productivity. This problems occured due to the repeat breeding case and decrease the efficiency and productivity of livestock. It suspected because of the lack of hygine and sanitation from farmers and inseminator. This study aimed to correlate the factors and cases of repeat breeding on beef cattle in Licin Subdistrict, Banyuwangi Regency. It was a descriptive study which used 69 cow with simple random sampling method. Primary data was obtained from direct observatio

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Romjali, Endang. "Development of Beef Cattle Innovation through “Field Laboratory” Approach." Indonesian Bulletin of Animal and Veterinary Sciences 28, no. 2 (2018): 69. http://dx.doi.org/10.14334/wartazoa.v28i2.1797.

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Economic growth in rural areas can be achieved by increasing the productivity of agricultural businesses. Beef cattle breeding farm is managed by small holder farmers with limited ownership integrated with other agricultural activities. This paper aims to provide information on developing beef cattle innovation at farm level through field laboratory (FL) approach or demonstration plot and direct participation with farmers. The development of cattle farming innovation at farm level is limited, hence it is needed to improve the competitiveness of agricultural businesses. Field laboratory is a mo

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Nugroho, Aras Prasetiyo, Lucie Setiana, Dadang Mulyadi Saleh, and Dayu Lingga Lana. "Factors in the Adoption of Beef Cattle Artificial Insemination (AI) Technology in Brebes Regency." Jurnal Penyuluhan 16, no. 1 (2020): 16–23. http://dx.doi.org/10.25015/16202027574.

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Efforts to increase beef cattle population and genetic in Brebes Regency can be done by using artificial insemination (AI) technology approach.Therefore this study aims to determine the factors that influence the ability of beef cattle farmers in adopting artificial insemination technology (AI) in Brebes Regency. Survey method was applied to observe beef cattle and farmers. Sampling technique used Slovin formula with 90% significant rate to observe variables, namely the ability of farmers to adopt AI technology (Y); social factors (X1) consisting of age (X1.1), educational background (X1.2), f

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