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Nurlina, Lilis, Unang Yunasaf, Marina Sulistyati, and Syahirul Alim. "Learning Process of Dairy Farmer in Achieving Dairy Farming’ Succeed (Case Study in KPBS Pangalengan and KSU Tandangsari West Java)." KnE Life Sciences 2, no. 6 (November 26, 2017): 314. http://dx.doi.org/10.18502/kls.v2i6.1054.
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Research on the learning process of dairy farmers in achieving decent scale of livestock farming has been carried out in South Bandung Dairy Farmer Cooperative (Koperasi Peternak Bandung Selatan/KPBS) Pangalengan and Multi Purpose Cooperative (Koperasi Serba Usaha/KSU) Tandangsari. The purposes of this study were to: (1) analyze the learning process of dairy farmer in order to achieve business success; and (2) analyze the success indicators in dairy farming business according to farmer’s perception. This research used case study with descriptive qualitative approach with 32 dairy farmers as informants. Data were analyzed descriptively by several stages namely reduction, categorization of data and conclusions. The results showed: dairy farmers who achieve success in their business is the farmer who has made the process of learning the truth, those who have been able to do active business in changing the behaviour of himself to be able to apply aspects of breeding, feeding and management as they should so that the dairy cattle business that manages has provided benefits and feasibility. The learning process through which the dairy farmers is the result of interaction or influence the motivation to learn instrisic owned by farmers, with reinforcement from outside through training, mentoring and enrichment of others, thus becoming sedentary behaviour or patterned to respond appropriately to problems or the challenges faced in achieving business success. Indicators of successful dairy farming according to farmers were having : productive cow more than 7 cows, decent housing (permanent buildings), four-wheel vehicles, more land for grass planting and able to finance their children to study in university. Keywords: Learning process, dairy cow farming’success, dairy farmers.
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Eqbal, Md Shahid, Manish Kumar Singh, and Nazam Khan. "Information Needs as Perceived by Tribal Dairy Farmers of Chotanagpur Region in Dairy Farming Practices." Indian Journal of Applied Research 3, no. 6 (October 1, 2011): 506–7. http://dx.doi.org/10.15373/2249555x/june2013/168.
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Muhammad, Ali Mauludin, and Puspita Sari Viani. "Dialectics of Dairy Farming Enterprises and Dairy Farmer Community in Pangalengan West Java." E3S Web of Conferences 73 (2018): 11010. http://dx.doi.org/10.1051/e3sconf/20187311010.
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Dairy farming business in Pangalengan has been established since Dutch colonial goverment set in and it continues until today. The business encountered such dynamics, in which aligned with political changes took place in Indonesia. Situated in Southern West Java, Pangalengan has been an icon of dairy farming in that it is major occupation of Pangalengan inhabitants. Capital owners were atracted to invest there, make capitalism penetration occured during some periods and developed quite well. Koperasi Peternak Bandung Selatan / Dairy Farmer Cooperative of South Bandung (KPBS) which is famous for its pro-community development then emerged and established along with the massive development of dairy farming in that town which later gave big contribution to development process. One of them is the establishment of a new private dairy farming plant in Pangalengan. Dillematic situation then occured. There were pro and contra against the existence of that private enterprise amongst the Pangalengan citizens. One group thought that the enterprise would generate the development process in Pangalengan, while others considered that it would create a clash with the community dairy farmers who have existed long before the independence of Republic of Indonesia. This paper will discuss dialectics of Private Dairy Farming Enterprise and dairy farmers community in Pangalengan. Both perspectives of private dairy farming enterprise and dairy farmers community will be the study in this paper. Positive and negative aspects are constructed in the arena or dialectics of dairy farming development.
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Amam, Amam, M. Wildan Jadmiko, Pradiptya Ayu Harsita, Nur Widodo, and M. Setyo Poerwoko. "SUMBER DAYA INTERNAL PETERNAK SAPI PERAH DAN PENGARUHNYA TERHADAP DINAMIKA KELOMPOK DAN KONTEKS KERENTANAN." JURNAL ILMIAH PETERNAKAN TERPADU 7, no. 1 (May 20, 2019): 192. http://dx.doi.org/10.23960/jipt.v7i1.p192-200.
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This research aims to find out the influence of dairy farmer’s internal resources on group dynamics and vulnerability context of dairy farming business. The research was conducted at the animal husbandry institution Kelompok Usaha Bersama (KUB) Tirtasari Kresna Gemilang in Pujon Subdistrict, Malang District, East Java Province on October - December 2018. The research variables consisted of financial resources (X1), technological resources (X2), physical resources (X3), group dynamics (Z1), and the context of vulnerability of dairy farming business (Y1). The respondents were all KUB member dairy farmers, namely 174 dairy farmers. Data were analyzed by the SEM (Structural Equation Model) method using SmartPLS 2.0. The results showed that the accessibility of dairy farmers to internal resources affected group dynamics by 33%, while vulnerability context of dairy farming business was influenced by the dairy farmer’s internal resources and group dynamics by 30.3%. The conclusion of the research showed the role of resources could influence to group dynamics and vulnerability context of dairy farming business. Keywords: Dairy Cattle, Farming Business, Group Dynamics, Internal Resources, Vulnerability Context
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Masuku, B. B., M. B. Masuku, and A. Belete. "Economic Efficiency of Smallholder Dairy Farmers in Swaziland: An Application of the Profit Function." Journal of Agricultural Studies 2, no. 2 (September 11, 2014): 132. http://dx.doi.org/10.5296/jas.v2i2.6046.
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The purpose of the study was to analyse the economic efficiency of smallholder dairy farmers in Swaziland. Specifically, the study sought to describe the socio-economic characteristics of dairy farmers in Swaziland. The smallholder farmers are classified into: smallholder farmers, medium-scale farmers, and large-scale dairy farmers. The specific objectives of the study were to: estimate the economic efficiency of smallholder dairy farmers in Swaziland; identify factors affecting the economic efficiency of smallholder dairy farmers; and determine the profitability of the smallholder dairy enterprise. This was a descriptive and quantitative survey and the target population was all smallholder dairy farmers registered with the Swaziland Dairy Board (N = 444). A purposive and random sampling techniques was used to select the respondents (n = 111). Three methods of data analysis were used, namely; descriptive statistics, econometric analysis (Stochastic Profit Frontier Function) and gross margin analysis. The mean level of Economic Efficiency (EE) for the famers was 79.8%. The farm’s location, pasture size, soil fertility, water availability, the farmer’s years of experience in dairy farming, membership to dairy farmers’ association and training on dairy farming are factors that influenced the level of EE for smallholder dairy farmers in Swaziland. The smallholder dairy farmers were economically efficient. The institutional factors, socioeconomic and farm characteristics do affect the level of EE among smallholder dairy farmers. The dairy farming enterprise is a profitable enterprise.
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Martiin, Carin. "From farmer to dairy farmer: Swedish dairy farming from the late 1920s to 1990." Historia Agraria. Revista de agricultura e historia rural 73 (November 15, 2017): 7–34. http://dx.doi.org/10.26882/histagrar.073e04m.
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Swedish dairy farming became increasingly commercialized up until the mid-twentieth century, when nine out of ten farmers supplied milk to dairy plants. They adopted the view that milk sales were the path to progress for agriculture and the countryside in times of urbanization. Dairy farming was obviously embedded in functions that went beyond food production, which complicated the situation when the surplus of dairy farmers led to overproduction. At the same time, domestic demand became saturated and the international butter market proved more challenging than expected. This article focuses on collective outcomes of farmers’ actions in terms of commercialization, intensification, specialization and geographic concentration from the late 1920s to 1990. The timeframe includes an expansive phase until the late 1940s, which was followed by decades of declining demand for milk and a more restrictive political policy toward agricultural surpluses. It is argued that the vision of dairy farming as a safe way to make a living in agriculture underestimated the potential for increased production and limited demand. Contrary to initial hopes of using milk as a way to save the countryside, increasingly intensive and specialized dairy farming served to drive many out of farming.
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Schönleben, Manfred, Joachim Mentschel, and Luboš Střelec. "Towards smart dairy nutrition: Improving sustainability and economics of dairy production." Czech Journal of Animal Science 65, No. 5 (May 31, 2020): 153–61. http://dx.doi.org/10.17221/16/2020-cjas.
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To satisfy increasing food and nutrient supply requirements for our growing future human population, farmers and staple food producers carry vital responsibilities. Especially farmers with ruminant livestock like dairy cows transform otherwise for human consumption unsuitable fibre into highly nutritious milk and meat. Nevertheless, dairy farmers are challenged increasingly by the consequences of global warming. Economic risks like feed supply and volatile commodity prices need to be balanced, also taking into account the increasing environmental awareness of end-customers. Focusing just on emissions, dairy production is contributing an essential part of the total carbon footprint emitted by the agricultural sector. Since rumen degradability of feed was identified by the Food and Agriculture Organization of the United Nations as one of the most influential parameters in reducing the carbon footprint of dairy farming, the desire to exploit leverage potential for efficiency increases can be considered exceptionally high. Although the positive effects of improved feed, in other words, neutral detergent fibre rumen degradability for dairy farming are well understood, detailed information on the correct management to obtain well digestible feed sources is still missing. Using the smart dairy nutrition ration formulation concept, applying readily on-farm available digitized data and management information the objectives of this study were: 1) to assess the influential parameters which govern neutral detergent fibre rumen degradability of corn silage, using a set of 584 corn silages from multiple years, and 2) to evaluate within an integrated dairy production set up the economic and ecological improvement potential by feeding a subset of 28 different corn silages, including detailed variety information. Results show that the neutral detergent fibre rumen degradability is primarily governed by variety choice and can be four times more important than the correct harvest stage decision. By feeding corn silage varieties with high neutral detergent fibre rumen degradability, monetary income could be increased by ~10% while simultaneously reducing manure accumulation.
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Singh, Manish Kumar, Awadhesh Kumar Singh, and K. S. Kadian. "Adoption of Improved Dairy Farming Practices by Dairy Farmers of Haryana." International Journal of Current Microbiology and Applied Sciences 7, no. 09 (September 10, 2018): 3622–29. http://dx.doi.org/10.20546/ijcmas.2018.709.450.
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Dewi, Ritma Kartika, Dwi Wahyuningsih, Dwi Elita Sari, Setia Humani Jatiningrum, and Widhi Handayani. "Waste management of traditional dairy farming for alternative energy: A feasibility study on biogas processing in Dusun Banyudono, Semarang Regency, Indonesia." Sustinere: Journal of Environment and Sustainability 5, no. 1 (April 23, 2021): 9–24. http://dx.doi.org/10.22515/sustinere.jes.v5i1.117.
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Dairy farming's waste contributes to greenhouse (GHG) gas emission, and its conversion into biogas is of potential benefit to reduce emission while providing alternative energy for the dairy farmers. Although biogas conversion has been conducted in Banyudono, Semarang Regency, not all dairy farmers are interested in this biogas processing, and it seems to be related to the question of the benefit they would receive. This research aims to explain the management of the waste of dairy farming in Banyudono and a feasibility study on dairy farming in Banyudono, if biogas processing is not to be included and along with biogas processing. This study combines qualitative and quantitative approaches by conducting interviews, direct observation, documentation, and a feasibility study on biogas processing. This study finds that 8,400 kg of cow manure and 4,950 liters of urine are produced every day, by only 5.76% is processed into biogas, 11.25% is processed into manure, while 82.98% of the waste is left unused. The feasibility study indicates that biogas processing tends to increase the benefit received by independent farmers instead of the member of the dairy farmer group discussed in the study. Furthermore, our study reveals issues regarding the dairy farmers' environmental awareness, poor management of biogas distribution on the farmer group level, and technology adoption problems. Finally, a model of integrated farming system is composed to address the issue of waste management in Banyudono.
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Akbar, Muhammad Osama, Muhammad Saad Shahbaz khan, Muhammad Jamshaid Ali, Azfar Hussain, Ghazia Qaiser, Maruf Pasha, Urooj Pasha, Malik Saad Missen, and Nadeem Akhtar. "IoT for Development of Smart Dairy Farming." Journal of Food Quality 2020 (March 23, 2020): 1–8. http://dx.doi.org/10.1155/2020/4242805.
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Internet of things (IoT) and data-driven techniques are creating greater opportunities for smart dairy farming. The demand for milk is continuously increasing due to increasing population of the world. The consumption of the dairy products is more in developed countries as compared to developing countries. To meet this increased demand for milk products, better technological techniques for improving milk yield are required. It is expected that the use of IoT and different AI techniques can assist a farmer to overcome different traditional farming challenges and increase the milk production. In this research, the authors address different challenges that a dairy farmer has to face in daily life. Brief introduction of smart dairy farming (SDF) is presented with respect to the innovation in production and the processes of smart dairy farming. This review focuses on different aspects of smart dairy farming, and finally a state-of-the-art framework that can assist the farmers to increase the milk yield by using different latest technologies has been proposed. These technological methods can decrease the factors negatively affecting milk production and increase those positively affecting production with minimal resources.
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Masango, P. S., J. I. Rugambisa, A. S. Singh, and D. Kibirige. "The Contribution of Swaziland Dairy Board on Dairy Farmers’ Productivity: A Case of Mbabane Sub-Region, Swaziland." Journal of Agricultural Studies 5, no. 2 (June 29, 2017): 163. http://dx.doi.org/10.5296/jas.v5i2.11470.
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The Swaziland Dairy Board (SDB) was established under the Act No. 28 of 1968 to promote increased dairy production to satisfy the domestic and export market. Despite numerous efforts of SDB through its dairy policy goals, Swaziland is failing to achieve self-sufficiency in liquid milk production, and can hardly sustain its local demand. Therefore, the study aimed at establishing the contribution of SDB policy goals on smallholder dairy farmers’ productivity. Primary data was collected from 120 dairy farmers through the use of a structured questionnaire in the Mbabane sub-region. The study characterized dairy farmers as mostly male (57%) who are aged above 55 years and married (88%), attained secondary education(48%) with farming experience of 4 years, milking averagely 2 cows per day, and each cow yielding averagely 10 litres and 13 litres per day for non-SDB and SDB members, respectively. The results further revealed that farmers trained by SDB were practicing more of the recommended animal husbandry practices compared to non-SDB farmers. Moreover, the SDB farmer’s milk yields were higher than non-SDB farmers at 10% significant level, although SDB farmers’ milk productivity is still regarded relatively low. Factors influencing productivity of milk among small holder dairy farmers included sex of the farmer, age, dairy sales incomes, number of milking cows, market distance, use of supplementary feed, dairy records keeping and the breeding system. Therefore, local milk production can increase if the stakeholders in the dairy industry can adopt SDB policy strategies, dairy related services and good livestock husbandry practices.
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Coquil, Xavier, Pascal Béguin, and Benoît Dedieu. "Transition to self-sufficient mixed crop–dairy farming systems." Renewable Agriculture and Food Systems 29, no. 3 (December 16, 2013): 195–205. http://dx.doi.org/10.1017/s1742170513000458.
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AbstractWhile plains favorable to agriculture are still dominated by specialized and intensive agriculture, self-sufficient mixed crop-dairy farming systems increasingly attract policy makers' and scientists' attention. Owing to their limited use of purchased inputs, they can contribute to reducing the environmental impact of agriculture. Furthermore, self-sufficient farming tends to be linked with a search for autonomy in decision-making, i.e., farmers developing their own technical reference framework. Such farming systems can thus also contribute to alternative development pathways of rural territories. In this paper, we analyze how ten intensive mixed crop–dairy farms have progressively evolved toward more self-sufficient and autonomous systems. Through formalizing farmers' transitionin action, we identified 34 tools that the farmers implemented making them reflect on their farming system, shift socio-professional networks, reorganize work routines, and steer the evolution of their production practices. For example, they created temporary pastures in crop rotation, introduced rotational pastures, observed their herds to adjust their feed and keep the animals in good health, and they limited expenditures to manage their cash flow. Which tools were used and when they were used depends on what is meaningful to them at various stages of the transition. Our analysis of transitionsin actionhas three original features: it is centered on the transition as perceived by the actors who experience and manage it; it proposes a long-term conceptualization of the dynamics of farming systems, based on the farmer's initiative and creativity; and it highlights tools implemented by farmers during the transition to self-sufficiency and autonomy.
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Sutawi, Sutawi, Indah Prihartini, Asmah Hidayati, and Daroe Iswatiningsih. "Kelembagaan Klaster Peternakan Sapi Perah di Kabupaten Malang." Jurnal Pengabdian Pada Masyarakat 5, no. 4 (November 30, 2020): 866–77. http://dx.doi.org/10.30653/002.202054.542.
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INSTITUTIONAL FOR DAIRY CATTLE FARMING CLUSTER IN MALANG REGENCY. Institutional farmers become one of the ideal facilities to empower dairy farmers. The strategy considered effective in developing dairy cattle agribusiness is through a cluster-based regional institutional approach. This study aims to identify the institutional profile of the dairy farming cluster cluster in Malang Regency. The study was conducted in November 2019 with survey methods in Ngantang and Kasembon Subdistricts which are the centers of dairy cattle population in Malang Regency. Research respondents were dairy farmers, administrators of the Farmers Group and the Association of Farmers Groups, KUB, KUD, and institutions related to dairy cattle agribusiness in Ngantang and Kasembon Districts. The institution of dairy farming is an agribusiness industry cluster consisting of five subsystems, namely: (1) upstream institutions, namely breeding companies, feed and drug companies, equipment industries, and others; (2) farming institutions, namely Farmers Group and the Association of Farmers Groups; (3) downstream institutions, namely dairy cooperatives, KUB and KUD; and (4) marketing institutions managed by cooperatives, namely farmers, primary cooperatives, secondary cooperatives, milk processing industry (MPI), wholesalers, retailers and consumers, and non-cooperative channels, namely MPI, distributors, exporters.
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Yasmin, Sarah, and Yukio Ikemoto. "Profile of Women Dairy Farmers in Two Villages of Mymensingh District." Asian Social Science 16, no. 7 (June 29, 2020): 118. http://dx.doi.org/10.5539/ass.v16n7p118.
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Dairy farming assumes most important role in providing income generating opportunities particularly for rural women in Bangladesh. To access the socio-economic status of dairy farmers, this study was carried out in selected areas of Mymensingh district. Total sample size was 50 and sample data were obtained from V1 (modern dairy farming), V1 (traditional dairy farming) and V2 (traditional dairy farming) through direct interviews using questionnaires. Simple statistical methods such as frequency, percentage and mean were used to analyze the sample data. V1 (M) women use modern technology of dairy farming and V2 (T) is traditional village. Financial conditions of selected farmers were investigated in study areas. It was found that households in V1 (M) had more household income and well status than others and that V1 (M) woman were more educated and older with longer experience in dairy farming. Relatively wealthy households and educated/experienced women tend to adopt modern dairy farming.
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Fauzan, Muhammad. "PROFITABILITY AND EFFICIENCY OF DAIRY FARMING IN SLEMAN REGENCY." Agric 32, no. 2 (February 4, 2021): 173–88. http://dx.doi.org/10.24246/agric.2020.v32.i2.p173-188.
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The eruption of Mount Merapi has caused a serious impact on dairy farming in Sleman Regency. The death of livestock and the destruction of forage has decreased the income of dairy farmers, which is the main livelihood of the community. This study aims to analyze the profitability, the factors that influence the level of milk production, the level of technical efficiency, and the factors that cause the in-efficiency of dairy farming in Sleman Regency. This study used a questionnaire on 62 respondents. Analysis of profitability and production functions of the stochastic frontier is used for data analysis. The results showed that the business activities of dairy farming in Sleman Regency were profitable businesses with an average income from cash production costs per year is Rp. 18,347,565.38 per livestock business or Rp. 6,437,742.24 per unit of livestock. Factors that influence milk production were concentrate feed and the amount of livestock ownership. The level of technical efficiency of dairy farmers is 88.9%. The level of technical efficiency was influenced by the age of the farmer and animal’s health examination.
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Dolewikou, R. L., W. Sumekar, and A. Setiadi. "THE PROFITABILITY ANALYSIS OF DAIRY CATTLE BUSINESS ON THE GROUP OF DAIRY FARMERS IN WEST UNGARAN DISTRICT SEMARANG REGENCY." Journal of the Indonesian Tropical Animal Agriculture 41, no. 4 (December 10, 2016): 216. http://dx.doi.org/10.14710/jitaa.41.4.216-223.
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The objective of the study was to determine the profitability of dairy cattle business on the group of dairy farming in District of West Ungaran, Semarang Regency. This research was conducted from February to March 2016 through a survey method. Respondents in this study were lactating dairy farmers on the group of dairy farmers in District of West Ungaran. Then, location was determined by using purposive sampling. Further, respondents were determined by using census method for 40 people; those were 11 respondents of Mardi Mulyo farmer group members, 4 respondents of Sumber Hasil members, and 25 respondents of Ngudi Makmur members. Then, data were analyzed by employing the analysis of income and profitability. The result of study indicated that the average income over the cash cost was as much as IDR. 34,708,139.20 per year or IDR.2,892,344.93 per month, and the average income over the total cost was as much as IDR.4,867,808.92 per year or IDR. 405,650.74 per month. The profitability was 10.34% greater than the bank interest for farming business loans for 5% per year. It could be concluded that dairy cattle business on the group of dairy farmers in West Ungaran was profitable.
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Akcaoz, H., and H. Kizilay. "Sustainability of dairy production in Turkey: A case study." Agricultural Economics (Zemědělská ekonomika) 55, No. 1 (February 11, 2009): 25–32. http://dx.doi.org/10.17221/2504-agricecon.
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The aim of this paper is to show some empirical evidence of the sustainability and decision making in dairy production in Turkey. The main material of the study was obtained from the data collected by the survey conducted in the villages in Merkez, Manavgat and Serik districts of the Antalya province. Within the context of the research, 75 farmers were interviewed in the 2007 production season. The research results indicate that the households are the most important decision maker in terms of farming decisions. 56.3% of the farmers in the small farms, 61.5% of the farmers in the medium-size farms and 41.2% of the farmers in the large farm noted that they could quit dairy production activity if they received a fixed salary.
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Musliu, Arben, Blend Frangu, Jennie S. Popp, Nathan Kemper, and Michael Thomsen. "TECHNICAL EFFICIENCY ESTIMATION OF DAIRY FARMING IN KOSOVO." New Medit 18, no. 3 (September 15, 2019): 77–84. http://dx.doi.org/10.30682/nm1903f.
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The aim of this research paper is to assess the technical efficiency (TE) of milk production in Kosovo using the stochastic frontier analysis. Research data are collected through surveys from 100 commercially oriented dairy farmers. The study finds that TE of milk production by most of these farms is high. Using the Cobb-Douglas production function, individual measures of TE range from 0.87 to 0.98 (on a scale of 0 to 1.00) with the average being 0.95. There were 57 farms with TE greater than 0.95 and 35 farms with TE less than 0.95. In the study’s sample, female dairy farmers have roughly the same mean TE of 0.95 as male dairy farmers. The variation in milk production among the sampled farms was modeled in terms of concentrate and forage feed costs and pre-production costs. The study suggests that concentrate feed and pre-production costs can significantly influence TE of milk production among Kosovar dairy farms.
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Jago, J., C. Eastwood, K. Kerrisk, and I. Yule. "Precision dairy farming in Australasia: adoption, risks and opportunities." Animal Production Science 53, no. 9 (2013): 907. http://dx.doi.org/10.1071/an12330.
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Dairy farm management has historically been based on the experiential learning and intuitive decision-making skills of the owner-operator. Larger herds and increasingly complex farming systems, combined with the availability of new information technologies, are prompting an evolution to an increasingly data-driven ‘precision dairy’ (PD) management approach. Automation and the collection of fine-scale data on animals and farm resources via precision technologies can facilitate enhanced efficiency and decision making on dairy farms. The proportion of dairy farmers using this approach is relatively small (between 10 and 20% of farmers); however, industry trends suggest a continual increase in the use of precision technologies. Australasian PD farms have reported both positive and negative stories regarding the approach but to date there has been little industry attention or co-ordination in Australia or New Zealand. A series of workshops was held in late 2011 between industry-good representatives, researchers and farmers, from Australia and New Zealand, to discuss the opportunities and risks associated with PD. To take advantage of the emerging PD opportunity the trans-Tasman workshop group suggested five focus areas including: industry-good co-ordination and leadership in precision dairy; working to define the on- and off-farm value of PD; improving the technology available to farmers; integration of PD within farming systems for improved management; and developing learning and training initiatives for farmers and service providers. Action in these focus areas will enable future dairy farmers to implement the PD approach with enhanced confidence and effectiveness.
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Bogdanovic, V., R. Djedovic, P. Perisic, D. Stanojevic, M. D. Petrovic, S. Trivunovic, D. Kucevic, and M. M. Petrovic. "An assessment of dairy farm structure and characteristics of dairy production systems in Serbia." Biotehnologija u stocarstvu 28, no. 4 (2012): 689–96. http://dx.doi.org/10.2298/bah1204689b.
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In order to have a more precise description of dairy farm structure and characteristics of dairy production systems, as well as to assess possibilities for improving production and farming conditions in which milk production is organized, a survey based research was directed at a select group of farms across the Serbia. 1180 questionnaires have been mailed to farmers whose farms are registered for either cattle or mixed production. Questionnaire was divided into 6 sections: general information of the farm, agricultural and structural information, zootechnical information, sanitary and veterinarian information, information about education and extension, and information on the perspectives of future farming. About 59% of analyzed farms have size up to 20 ha, with average size of about 10 ha. On the other hand, about 55% farms raises up to 15 cows and heifers with average of 6 heads per farm, while 3% of farms have more than 200 cows and heifers. Over 86% of surveyed farmers intend to expand existing farm production, mainly by increasing the number of animals, stricter selection and improvement of the conditions for feeding, housing, care and milking. About 75% of farmers have expressed a positive expectation from future membership of Serbia in EU, although these expectations are not clearly defined.
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Quddus, MA. "Adoption of dairy farming technologies by small farm holders: practices and constraints." Bangladesh Journal of Animal Science 41, no. 2 (March 10, 2013): 124–35. http://dx.doi.org/10.3329/bjas.v41i2.14132.
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In Bangladesh, usually, small scale farmers are not adopted to use all kinds of improved technologies in dairy farming. But, high level of technology adoption has a direct impact on milk yield and households income generation as well as dairy development. The objectives of this study was to determine the causes of adoption and non adoption of high yielding breed, the level of practices and constraints in adopting the improved technologies. The study was carried out in three different agro-ecological zones and 180 dairy cattle farmers were interviewed. Self practiced dairy technologies were listed, adoption score for each technology and adoption index for each farmer were studied. One-fourth farmers used artificial insemination for breeding purpose and two-fifth belonged to medium or high level of technology adoption. Only 35% farmers adopted crossbred cows and some others upgraded indigenous with exotic breeds. About 17.5% rural farmers and 70% semi-urban farmers reared crossbred cows and rural farmers are reluctant to utilize all kinds of improved technologies. Secondary and higher educated farmers were 9.7 times more likely to be adopting improved technologies compared to illiterate farmers. Top ranked constraints were ill equipped and negligible services at AI centre, no provision for testing of animals, poor knowledge of farmers about health care of animals and inadequate knowledge about proper feeding and balanced ration. Need more knowledge on improved technologies through training, availability of reliable and continuous technical assistance, availability and low price of concentrate feeds, increased and timely provision of medicine, increasing AI facilities, providing pure breed and strengthening extension services were the main suggestions from farmers.DOI: http://dx.doi.org/10.3329/bjas.v41i2.14132Bang. J. Anim. Sci. 2012. 41 (2): 124-135
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Brar, Tegdeep Singh, Y. S. Jadoun, R. S. Kasrija, Parminder Singh, and Bharti Deshmukh. "Constraints Perceived by Dairy Farmers in Access and Management of Good Dairy Farming Practices." International Journal of Current Microbiology and Applied Sciences 9, no. 11 (November 10, 2020): 1600–1608. http://dx.doi.org/10.20546/ijcmas.2020.911.190.
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Logstein, Brit. "Work Demands, Independence, Valuation as a Farmer, and Mental Health in Farming. A Study of Mental Health Among Dairy Farmers and Vegetable- And Potato Farmers in Norway." European Countryside 13, no. 1 (March 1, 2021): 175–92. http://dx.doi.org/10.2478/euco-2021-0010.
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Abstract In this study, the aim was to advance the knowledge about mental health status in the Norwegian farming population. Based on the dimensions in the Job Demand and Control model (Karasek, 1979); work demands and control, and the importance of recognition and dignity (Andrew Sayer, 2011), the aim was to study the effects of work demands, sense of independence and valuation on mental health status among farmers. It included an assessment of how the sectorial level, the sectors of dairy production and vegetable- and potato production, explains farmers` mental health status. A postal survey was conducted in 2012 using a structured questionnaire, and I included farmers from two sectors in the Norwegian agriculture: dairy farming (n = 493) and vegetable and potato farming (n = 122). The analyses were carried out by multigroup structural equation modeling (SEM). This study concludes that low work demands in farming, strong sense of independence as a farmer, and farmers` perception of valuation associate with good mental health. The mental health status in dairy farmers and vegetable and potato farmers and the effects of work demands, sense of independence and valuation on mental health status, were equal across groups.
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De Herde, Maréchal, and Baret. "Lock-Ins and Agency: Towards an Embedded Approach of Individual Pathways in the Walloon Dairy Sector." Sustainability 11, no. 16 (August 14, 2019): 4405. http://dx.doi.org/10.3390/su11164405.
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As the 2009 dairy crisis drew attention to the situation of dairy farmers in Europe, the extent of strategical power left to farmers in dairy cooperatives of increasing size is a frequently raised issue. Four dairy cooperatives collect 97% of the milk in the Walloon Region (in the southern part of Belgium). Two of them integrated agro-food multinationals. We decided to analyze the trajectories of Walloon dairy farmers exploring alternatives to the delivery of milk to these mainstream dairy cooperatives. We focused on the territories situated to the east of the Walloon Region, where dairy farming represents 75% of farming revenues. Alternatives consist either of processing milk on farm or in concluding a contract with a cheese processor collecting milk directly from farmers. Our objective was to understand the issues faced in these alternative trajectories and the reason why these alternatives remained marginal. We designed a qualitative case study based on interviews with farmers and local cheese processors. We mobilized evolutionary approaches on the stability and transitions of systems and approaches of change at the farmer level. It appears that the alternative trajectories remain embedded in a broader dairy context. The lock-ins emerging from this context determine the evolution of the farming model towards intensification and the individual identity and capabilities of farmers. We present a model of interconnected and embedded lock-ins, from the organizational frame of the regime to the individual frame. This model illustrates how the agency articulates with structural dynamics. We propose structural measures in the organization of agricultural education and in terms of support to alternative supply chains that will enhance agency in favor of a change.
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Muatip, Krismiwati. "Farmer Children’s Willingness for Dairy Farming succession in Banyumas Regency." ANIMAL PRODUCTION 18, no. 2 (November 18, 2016): 118. http://dx.doi.org/10.20884/1.anprod.2016.18.2.536.
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The objectives of this research were to 1) observe the age, education, farm parents’ cattle ownership, parents’ income, children’s perception and willingness for farming succession, and 2) investigate the relationship between age, education, farm parents’ cattle ownership, parents’ income, children’s perception of and willingness for farming succession. Purposive sampling was used to determine the regional sample in three districts in Banyumas regency with the most dairy cow population and were the supervised area subject to “Pesat” Milk Cooperative. Ninety respondents from 10-30 years old were determined. Result showed that farmers’ children had better education than the parents with average age of 21,67 years old. Average cattle ownership was 1-15 heads per household with Rp 564.167 – Rp 4.523.333monthly income. Farmers’ children shaped positive perception on dairy farming and had willingness for farming succession. Age was positively correlated with farming perception and willingness of the farmers’ children, while education was negatively correlated.
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Gichohi, Paul Maku. "The role of record keeping and maintenance in enhancing decision making among smallholder dairy farmers in Gitugi Ward in Murang’a County, Kenya." Information Development 36, no. 4 (October 8, 2019): 535–45. http://dx.doi.org/10.1177/0266666919879728.
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Dairy farmers are expected to maintain farm records for aiding decisions making. However, the extent to which farm records inform decision making is not clear in Gitugi Ward in Murang’a County, Kenya. This study aimed to determine the role that record keeping and maintenance play in enhancing decision making of smallholder dairy farmers in that area. Descriptive survey research design was used to examine 175 smallholder dairy farmers. Simple random sampling technique was used in getting a sample size of 118 subjects. Data was collected using questionnaires and analyzed using SPSS. Ordinal logistic regression analysis was used to test the underlying proposition. Most smallholder dairy farmers have adequate experience in dairy farming and have minimum basic education, although not sufficient for making complex computations and interpretations for key decision making. The kind of decisions made based on dairy farm records statistically and significantly affect output in dairy farming businesses. Livestock Extension Officers should embark on advocacy programs, sensitization workshops, mentorship and training programs on record maintenance practices to ensure dairy farm records are preserved and utilized in supporting decision making. The findings of this study contribute to improvement of dairy farming information management practices and in making data-supported decisions among dairy farmers in Gitugi Ward, Mathioya Sub-County and in other geopolitical regions.
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Burke, Niamh, and Catherine C. Adley. "Prevalence of intramammary antibiotic usage in dairy farming." Journal of Dairy Research 88, no. 2 (May 2021): 176–78. http://dx.doi.org/10.1017/s0022029921000431.
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AbstractThis research communication describes the lactating intramammary (IMM) antibiotic formulation most used by Irish dairy farmers at farm level through interviewing 202 dairy farmers. The IMM antibiotic usage data is not easily available to the researcher and farming community. This study determined that three commercial formulations (Synulox ™, Tetra Delta™ and Terrexine) made up 81% of the products used at farm level. The formulation Synulox™ was the most used at 34% first preference and 32% second preference and contains amoxicillin/clavulanic, a standard broad spectrum antibiotic, for which mastitis pathogen resistance remains low. The aminoglycosides were used in four of the IMM formulations analysed, including Tetra Delta™ and Terrexine. Of the 12 antibiotics identified in the IMM formulations studied, three including cefalexin, benzylpenicillin and penethamate are classified as highly important antibiotics (HIA) by the World Health Organisation (WHO) whilst the other 8 (dihydrostreptomycin, streptomycin, neomycin, framycetin, kanamycin, amoxicillin/clavulanic acid, and cefquinome), are considered critically important (CIA) for use in human health. This study has generated knowledge of the preferences of lactating IMM formulations used at farm level.
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Kabir, Md Shajahan, Manasi Modok, Shahidullah, and Rahima Akther. "Household food security through dairy farming in Sirajganj district, Bangladesh." Research in Agriculture Livestock and Fisheries 6, no. 3 (January 1, 2020): 379–87. http://dx.doi.org/10.3329/ralf.v6i3.44803.
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Food security exists when all people, at all times, have access to sufficient, safe and nutritious food to maintain healthy and productive lives. This study was carried out to investigate the household food security status of dairy farmer at three villages of Shahjadpur Upazila of Sirajganj District. This study was based on primary data and a semi-structured interview schedule was used for collecting data during January to March 2018. Data were collected from a random sample of 60 where the total dairy farmers were 240. Food security status of household of dairy farmer was measured on the basis of their per capita calorie consumption per day. Pearson’s Product Moment Coefficient Correlation (r) was computed to explore the relationship of the respondents selected characteristics and their food security status. It is 40% percent moderately food secured per year, 25% household had food secured per year and 35% households were low food secured per year. Dairy farmer’s Annual income, training, experience, credit received had a significant positive relationship with their household food security status. The Findings of the study would be helpful for policy makers. Government and non-government organizations work for development of tribal people; this study may help them achieve their goal. It will be helpful for the government to ensure their food security in the sense that they may be aware of the food insecure situation if the findings of the study are revealed to them
Res. Agric., Livest. Fish.6(3): 379-387, December 2019
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Shimoda, T., M. H. Heine, R. C. Woodhouse, and P. Rowlinson. "From where do dairy farmers get their information?" Proceedings of the British Society of Animal Production (1972) 1992 (March 1992): 124. http://dx.doi.org/10.1017/s0308229600022352.
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Dairy Farmers receive information from the whole range of the sector relating to the dairying industry, whether they actively seek information or not. The survey carried out attempted to identify British farmers’ perception of the information sources of greatest value to them. This survey was limited to a sample of dairy farmers in England and Wales.A postal survey was conducted with questionnaires being sent to 306 dairy farmers selected from the Public Register of the Milk Marketing Board of England and Wales. The sample size was 1.0% of registered dairy farmers from each of the eleven MMB regions. The questionnaire was in six parts. The first contained three questions on the farm itself (i.e. the MMB region, breed of cow, herd size). The remaining parts concerned five categories of potential information sources. These were: (1) hard copy (i.e. printed) publications from official or semi-official bodies, firms which provided agrochemicals, feedstuffs, machinery etc and their sales agencies, and the farming press; (2) broadcasting services on the radio and TV; (3) databases services from database producers or viewdata/teletext; (4) individual contacts which were precoded as MAFF/ADAS advisers, the MMB/Genus consultants, private consultants, other farmers, agrochemicals/fertilsers suppliers, feedstuffs suppliers, pharmaceutical suppliers, machinery suppliers and veterinary surgeons; and (5) other institutions which identified such remaining sources as educational institutes, research institutes, information centres, public libraries, and farming organisations.
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Awadhesh Kumar Singh et al.,, Awadhesh Kumar Singh et al ,. "Constraints Faced by the Dairy Farmers in Adopting Good Dairy Farming Practices in Uttar Pradesh." International Journal of Agricultural Science and Research 7, no. 4 (2017): 123–30. http://dx.doi.org/10.24247/ijasraug201717.
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Rossing, W., P. H. Hogewerf, A. H. Ipema, C. C. Ketelaar-De Lauwere, and C. J. A. M. De Koning. "Robotic milking in dairy farming." Netherlands Journal of Agricultural Science 45, no. 1 (July 1, 1997): 15–31. http://dx.doi.org/10.18174/njas.v45i1.523.
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The role of engineering research in the development of robotic milking systems and the integration of robotic milking in dairy farms are reviewed. The milking stall, robot arm, teat sensing system, milking equipment and udder cleaning devices of commercial automatic milking systems (AMS) available in the Netherlands at the end of 1996 are described. The importance of the attractiveness of the milking stall, lay-out of the barn and the introduction of a cow routing with special gates in the barn is highlighted. Increasing the milking frequency from 2 to 3 times/day results in a higher yield of approximately 1000 kg milk/lactation. It is concluded that automatic milking will decrease the physical and mental load on the farmer, but it should be considered that the farmer is working with complicated equipment.
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Amin, Ruhul, and Mostafijur Rahman. "Artificial Intelligence and IoT in Dairy Farm." Malaysian Journal of Medical and Biological Research 5, no. 2 (December 31, 2018): 131–40. http://dx.doi.org/10.18034/mjmbr.v5i2.516.
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Internet of things (IoT) and data-driven techniques are producing greater prospects for smart dairying. The demand for milk is unceasingly increasing because of the rising population of the globe. The employment of dairy products is more in developed countries as compared to developing countries. To fulfill this increased demand for milk products, better technological techniques for improving milk yield are required. It’s foreseeable that the use of IoT and different AI techniques can lend a hand to a farmer to beat different conventional farming challenges and increase milk production. During this research, the authors give a talk about different challenges that a dairy farmer has to countenance in their way of life. A brief introduction of smart dairying (SDF) is presented with relevancy to the modernization in production and therefore the processes of smart dairy farming. This review concentrates on different facets of smart dairying, and at last, a state-of-the-art framework that can aid the farmers to extend the milk yield by using different up-to-the-minute technologies has been proposed. These high-tech methods can reduce the factors negatively upsetting milk production and increase that positively heartrending production with trifling resources.
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van der Lee, Jan, Laurens Klerkx, Bockline Bebe, Ashenafi Mengistu, and Simon Oosting. "Intensification and Upgrading Dynamics in Emerging Dairy Clusters in the East African Highlands." Sustainability 10, no. 11 (November 21, 2018): 4324. http://dx.doi.org/10.3390/su10114324.
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Based on farmer and value chain actor interviews, this comparative study of five emerging dairy clusters elaborates on the upgrading of farming systems, value chains, and context shapes transformations from semi-subsistent to market-oriented dairy farming. The main results show unequal cluster upgrading along two intensification dimensions: dairy feeding system and cash cropping. Intensive dairy is competing with other high-value cash crop options that resource-endowed farmers specialize in, given conducive support service arrangements and context conditions. A large number of drivers and co-dependencies between technical, value chain, and institutional upgrading build up to system jumps. Transformation may take decades when market and context conditions remain sub-optimal. Clusters can be expected to move further along initial intensification pathways, unless actors consciously redirect course. The main theoretical implications for debate about cluster upgrading are that co-dependencies between farming system, market, and context factors determine upgrading outcomes; the implications for the debate about intensification pathways are that they need to consider differences in farmer resource endowments, path dependency, concurrency, and upgrading investments. Sustainability issues for consideration include enabling a larger proportion of resource-poor farmers to participate in markets; enabling private input and service provision models; attention for food safety; and climate smartness.
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Andrighi, Daniela, Adriane Ferreira Frizzo, Iucif Abrão Nascif Junior, and Karina Ramirez Starikoff. "Milk consumption habits on dairy for farmers of family farming." Brazilian Journal of Veterinary Research and Animal Science 56, no. 2 (August 21, 2019): e155455. http://dx.doi.org/10.11606/issn.1678-4456.bjvras.2019.155455.
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Brazil is one of the largest milk producers in the world and most establishments are small producers of family farming. Milk is a perishable product and due to its nutritional characteristics provides a favorable environment for the growth of bacteria. The objective of this research was to evaluate the consumption habits of milk in family farms, identifying the consumption forms, evaluating the risks and the perception of risk by the producers, besides evaluating the sanitary management adopted in the properties with respect to the diseases transmitted by the milk and milk products. One hundred eleven producers from the city of Realeza-PR were interviewed. Almost half (48.64%, 54/111) had a small production with up to 10 lactating animals. Most of the producers had animals with a low productivity, and the average milk production per animal was less than 10 liters. The milk produced was consumed internally by 93.67% (104/111) of those interviewed, and 7.2% (8/111) claim to ingest raw milk without any previous heat treatment. Some producers(18%, 20/111) still made dairy products, like cheese and dulce de leche. Although 82.87% (92/111) reported having knowledge about the transmission of diseases through milk, only 49.54% (55/111) named the diseases. Not all producers conducted tests in the herd for disease control. The present study also found that only 4 people interviewed (3.6%, 4/111) associated the consumption of raw milk with some illness and reported having some symptoms, such as vomiting, nausea, skin allergy, colic and gas. Thus, it is necessary to inform and guide producers about the risks associated with raw milk consumption, so that not only the health of the producer is assured, but also the family and the population that may acquire this product informally.
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Goller, Michael, Carina Caruso, and Christian Harteis. "Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers." International Journal for Research in Vocational Education and Training 8, no. 2 (July 21, 2021): 208–23. http://dx.doi.org/10.13152/ijrvet.8.2.4.
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Purpose: This study aims at investigating how digitalisation (in the sense of industry 4.0) has changed the work of farmers and how they experience the changes from more traditional work to digitalised agriculture. It also investigates what knowledge farmers require on digitalised farms and how they acquire it. Dairy farming was used as domain of investigation since it, unlike other industries, has strongly been affected by digitalisation throughout the last years.Method: Exploratory interviews with 10 livestock farmers working on digitalised dairy farms were analysed using qualitative content analysis. A deductive and inductive coding strategy was used. Findings: Farming work has changed from more manual tasks towards symbol manipulation and data processing. Farmers must be able to use computers and other digital devices to retrieve and analyse sensor data that allow them to monitor and control the processes on their farm. For this new kind of work, farmers require elaborated mental models that link traditional farming knowledge with knowledge about digital systems, including a strong understanding of production processes underlying their farm. Learning is mostly based on instructions offered by manufacturers of the new technology as well as informal and non-formal learning modes. Even younger farmers report that digital technology was not sufficiently covered in their (vocational) degrees. In general, farmers emphasises the positive effects of digitalisation both on their working as well as private life. Conclusions: Farmers should be aware of the opportunities as well as the potential drawbacks of the digitalisation of work processes in agriculture. Providers of agricultural education (like vocational schools or training institutes) need to incorporate the knowledge and skills required to work in digitalised environments (e.g., data literacy) in their syllabi. Further studies are required to assess how digitalisation changes farming practices and what knowledge as well as skills linked to these developments are required in the future.
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Balirwa, Elizabeth K., and Emmanuel Waholi. "Analysis of Market Participation Behavior Among Smallholder Dairy Farmers in Uganda." Journal of Agricultural Science 11, no. 3 (February 15, 2019): 109. http://dx.doi.org/10.5539/jas.v11n3p109.
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Market participation of smallholder farming has gained priority in the policy agenda of many developing countries as an engine for economic growth. In Uganda, smallholder dairy farming has been adopted as a strategy for the country’s economic transformation through commercialization but efforts to improve dairy market sales have not been successful. Without appropriate interventions, Uganda may fail to take advantage of the anticipated increase in demand for livestock products. A study to analyze determinants of dairy farmers’ market participation and percentage of milk sales was therefore undertaken in Uganda’s three main milk producing regions. Multistage sampling and purposive sampling procedures were used to select a study sample of 171 representative dairy farming households, with at least one milking cow based on data derived from the REPEAT Survey of 2012. Data was analyzed by descriptive statistics and Heckman two-stage selection econometric model. Results show that milk market entry decision was significantly influenced by improved lactating cows (1%), number of lactating cows (1%), milk yield (1%), information access (5%), access to veterinary services (5%) and children less than 6 years (10%). Percentage of milk sales was influenced by information access (1%), number of lactating cows (5%), improved milking breeds (5%) and quantity of milk consumed. Three variables critical to policy intervention in enhancing smallholder dairy farmer participation and intensification are number of lactating cows, improved lactating cows and information access. Quantity of milk consumed suggests supplementation of milk with other protein foods among dairy farmers in Uganda.
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Dipu, SMMA, MR Begum, and S. Sultana. "Socio-economic, farm and technological characteristics of the peri-urban small and marginal dairy farmers of Chittagong metro area, Bangladesh." SAARC Journal of Agriculture 17, no. 1 (August 25, 2019): 77–91. http://dx.doi.org/10.3329/sja.v17i1.42763.
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The paper depicted the salient features of the socio-economic, farm and technological background and the existing problems of the peri-urban small and marginal dairy farmers of Chittagong Metro Area (CMA), Bangladesh. Data were collected using a pre-tested structured questionnaire. Snowball sampling method was used to gather socioeconomic, farm and technological data. Both descriptive statistics and mathematical analyses were used for analyzing the data. The study finds the peri-urban small and marginal dairy farmers are not fully dependent on dairy farming for income and young people are less interested in dairy farming as well. Better education status, less profitability, unfair and unstable price, etc. might be the reasons behind this circumstance. Though the farmers get lesser price for milk, the milk price is higher in urban market. Interestingly, 62.7%, 52.9% and 51.0% of the farmer families have smartphone, facebook and internet users respectively. Based on the findings, the study recommends that technology-based market linkage could be created by any government/non-government development partner between the cluster-based farmers’ group and the urban consumers for ensuring fair price for milk.
SAARC J. Agri., 17(1): 77-91 (2019)
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Nugroho, Bambang Ali. "KAJIAN STRATEGI DAN PROGRAM PERBAIKAN OPERASIONALISASI DARI MILK DISTRICT MODEL NESTLÉ DI JAWA TIMUR." Buletin Peternakan 35, no. 2 (June 27, 2012): 124. http://dx.doi.org/10.21059/buletinpeternak.v35i2.599.
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<p>The objective of this study was to explore the improvement of Nestle milk district model in East Java. Secondary data on dairy development in East Java was used to analyse internal and external factors. SWOT analysis method was used to evaluate existing condition of dairy development in East Java and to build a recomended strategy to improve milk district model. In simplest terms, setting up a milk district involved: a) negotiating agreements with farmers for twice-daily collection of their milk, b) installing chilling centers in the larger community and collection points in the villages or adapting existing collection infrastructure, c) arranging transportation from collection centers to the district’s factory, and d) implementing a program to improve milk quality. In reality building a milk district model is not core business or core competence of Nestle but its something absolutely necessary to be introduced. After this program have been introduced, the smallscale dairy farmers were capable to organise themselves to produce freshmilk. Nestle have introduced various insentive systems to support smallscale dairy farmers capacity to guarantee that they have self responsability in dairy farming activities have positive impacts on productivity, quality product and product safety, that all that aspects will give benefit to Nestle.</p><p>(Key words: Milk district model, Dairy farmer, Dairy cooperative, Milk processing industry, Strategy, Program)<br /><br /></p>
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Mäkinen, Heikki. "Farmers’ managerial thinking and management process effectiveness as factors of financial success on Finnish dairy farms." Agricultural and Food Science 22, no. 4 (December 18, 2013): 452–65. http://dx.doi.org/10.23986/afsci.8147.
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The objective of the study was to analyze how farmers’ managerial thinking and management process effectiveness contribute to profitability of farming. A structural equation model of these two elements of management capacity and financial performance was applied on survey data and bookkeeping results from 117 dairy farms. The model explained one-fourth of the varying profitability of sample farms. The results show that farmers’ managerial thinking is connected to farm profitability, but management process effectiveness is not. It was concluded that it is essential for good performance that the farmer has a clear vision of developing farming with business and investment plans. Successful farmers also have a firm confidence in their managerial skills, a strong emphasis on instrumental and intrinsic values, and a high appreciation of farming as occupation. They also see the farm as an entrepreneurial business unit and intend to follow the corresponding principles of management.
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Senthilkumar, T., NK Sudeepkumar, and M. Thirunavukkarasu. "Distance education on dairy farming - its impact among learners." Bangladesh Journal of Animal Science 41, no. 2 (March 10, 2013): 136–40. http://dx.doi.org/10.3329/bjas.v41i2.14133.
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A study was conducted to assess the impact of the distance education courses on dairy and goat farming on knowledge gained, skills obtained and economic benefits attained by the learners. The data was collected from 100 respondents who were selected randomly from 221 successful candidates during the period of 2000-01 to 2004-05. A majority of the respondents gained knowledge in credit/ insurance, housing systems followed by farm economics, clean milk production, calf rearing and feed and feeding methods. The respondents of all categories had increased their farm size (with percentage gain ranged between 59.38 and 75.07) and daily average milk yield (with percentage gain ranged between 48.34 and 66.17). Further the small, medium and large category farmers had gained additional income with per cent gain ranged from 73.38 to 122.26. There was a highly significant gain in production and income in all categories of farmers with respect to farm size, milk yield, sale of milk, dung and animals and net change in the value of stock.DOI: http://dx.doi.org/10.3329/bjas.v41i2.14133Bang. J. Anim. Sci. 2012. 40 (2): 136-140
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Coetzer, Johan, Ben Munster, Nicklas Andres Quirós Van Outrive, Disnelly Daniela Torres Ojeda, Yuri Vanbiervliet, Andries Van den Heuvel, Björn Windey, et al. "Designing Future Perspectives for Dairy Farming in Flanders." Transdisciplinary Insights 3, no. 1 (December 26, 2019): 151–86. http://dx.doi.org/10.11116/tdi2019.3.6.
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Abstract This paper provides insight into perspectives for the desirable future of the Flemish dairy industry in twenty years. Globally, the dairy farming sector is facing numerous challenges, from encountering environmental barriers to economic uncertainty, growing consumer awareness and increased availability of technology, bringing both opportunities and threats to the sector.The dairy industry in Flanders is potentially reaching a threshold where changes in production methods are essential to overcome the aforementioned challenges. With such complex challenges it is essential to include different perspectives. Therefore, we created a transdisciplinary team where all members have different backgrounds, supported by coaches and specialists.The assumptions on the dairy industry were investigated through literature, stakeholders’ interviews, and farm visits. From these insights a system map was <target target-type="page-num" id="p-152"/>developed with the intention to develop futures through observing megatrends, trends, and novelties. We imagined the most optimal future around social and planetarian boundaries for some diverse personas, which helped to understand the complexity of future patterns and highlighted topics that needed more in-depth research. Five main topics of the current situation and the desirable futures were discussed: (i) Environmental impact of the dairy sector; (ii) Big and Small farms; (iii) Health and how ‘the planetary diet’ can be healthier while saving the planet; (iv) Consumer Behavior; and (v) Government Policy. As a result, the future personas are described as motivating why certain perspectives are desirable; perspective from a farmer with a small farm and one with a larger farm. These perspectives could inspire the co-creation of a sustainable future, involving consumers, farmers, as well as industries and policy makers.
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Horváth, József. "Evaluation of Dairy Farms’ Competitiveness." Acta Agraria Debreceniensis, no. 10 (May 11, 2003): 256–60. http://dx.doi.org/10.34101/actaagrar/10/3503.
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The volume of milk production in the European Union is limited by quotas, thus dairy farms in Hungary can expand their production mostly at the others’ expenses after joining. In this way issues of arrangements arise relating to defining competitiveness of the already existing farms and not to farming new ones. The aims of my research is to find answers for dairy farms in the County of Hajdu-Bihar, depending on their arrangement (herd size, keeping technology, arable for forage production, handling manure, mechanisation, technician state of equipment) what possibilities they will have among the EU farmers.
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Chataway, R. G., V. J. Doogan, and W. M. Strong. "A survey of dairy farmers' practices and attitudes towards some aspects of arable-land management in the Darling Downs and South Burnett regions of Queensland." Australian Journal of Experimental Agriculture 43, no. 5 (2003): 449. http://dx.doi.org/10.1071/ea01179.
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The Darling Downs and Southern Inland Burnett are important geographical subregions of the Queensland dairy industry. The system of dairy farming in these subregions is unique in Australia in that it is based on grazed annual forage crops rather than pastures. When these soils were first cultivated up to 110 years ago they were inherently fertile. However, erosion and fertility decline has reduced their productive capacity and there is a need for the adoption of farming practices that are less exploitative. In February 1997, a survey was conducted to determine dairy farmers' practices and attitudes toward management strategies that were being recommended to grain farmers in the subtropical cereal belt for sustaining the soil resource base. These strategies included greater use of ley pastures, opportunistic double-cropping, zero-till planting and higher fertiliser inputs. We found that dairy farmers were generally familiar with and understanding of the potential benefits of these approaches to their farming enterprises. However, farmers raised a number of issues that need consideration in the transfer of these practices to dairy forage production. These included concerns that an increased emphasis on pastures would result in lower and less-reliable forage production; that double-cropping is practiced more out of necessity than in the belief it is a better way to farm; that zero tillage may not be suitable on clay soils that have been trampled by cattle and that farmers rely primarily on their own observations of crop performance to determine fertiliser use. These findings have particular implications for research and extension activities conducted with dairy farmers and are also relevant to work conducted with other cropping enterprises that incorporate grazing animals in their farming program.
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Tawedzegwa Musitini, Abbysinia Mushunje, and Joseph Muroiwa. "Feeding Management and Extent of Commercialisation among the Smallholder Dairy Farmers in Zimbabwe." Journal of Economics and Behavioral Studies 11, no. 4(J) (September 26, 2019): 32–42. http://dx.doi.org/10.22610/jebs.v11i4(j).2916.
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This study assessed the effects of grazing and feeding management on the extent of commercialization among the smallholder dairy farmers in Zimbabwe. Using a sample of 225 smallholder dairy farming households selected randomly across 11 smallholder dairy cooperatives in Zimbabwe, data were analysed using descriptive statistics and the ordinary least squares regression method. The study used milk yield as a proxy for commercialization. Farmers whose cows produced higher yield were considered more commercialized than farmers whose cows produced a lower yield. The results indicated that access to better pastures, better feed types, more area under fodder and more feeding frequency positively impact on milk yield. This result indicates that smallholder farmers with better access to enough, appropriate and consistent feed obtain better milk yield from the dairy cows while the poor quality and quantity of feeds are the primary reasons why most smallholder dairy farmers in developing countries like Zimbabwe continue to produce low/uneconomic milk yields. Since purchased dairy feed concentrates are essential in enhancing milk yield, the study recommends that farmers who can afford these should continue using them and where applicable agro-dealers selling these inputs should be supported to establish selling outlets within the farmers reach. However, given the cost of the commercial dairy feeds visa the economic capacity of smallholder milk producers, the study recommends farmer to consider producing their feed by putting more area under fodder than buying commercial feed.
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Raedts, P. J. M., S. C. Garcia, D. F. Chapman, G. R. Edwards, N. Lane, and R. P. Rawnsley. "Is systems research addressing the current and future needs of dairy farms?" Animal Production Science 57, no. 7 (2017): 1311. http://dx.doi.org/10.1071/an16647.
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During the past decade, Australian and New Zealand dairy farmers have been increasingly exposed to volatility in milk prices, declining terms of trade, climate variability, changing regulation, and increasing consumer demand to demonstrate their ‘social licence to farm’. In response to the varying challenges, it is not surprising that we see significant diversity in dairy-farm systems in Australia and New Zealand. Despite much research effort to address these challenges at both the component and farm-system level, the evidence of adoption and dairy farming-system change over the past 5 years has been inconclusive. The present review explores how farmers and systems research have been affected and are responding, and whether systems research is developing research in the appropriate direction, proactively researching dairy-farming systems that are resilient, profitable and sustainable into the future, notwithstanding the increased volatility that dairy farms are experiencing. While much farm systems research in Australia and New Zealand has addressed the challenges associated with improving productivity and profitability, and the known challenges such as climate variability and improving environmental outcomes, there is need to fore-sight future risk, challenges and opportunities for dairy systems. It is also important that the system researchers explore alternative approaches such as working collaboratively with the known system experts, the dairy farmer, in a participatory environment to increase rate of knowledge transfer and adoption of positive research outcome.
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Ritter, Caroline, Katelyn E. Mills, Daniel M. Weary, and Marina A. G. von Keyserlingk. "Perspectives of western Canadian dairy farmers on the future of farming." Journal of Dairy Science 103, no. 11 (November 2020): 10273–82. http://dx.doi.org/10.3168/jds.2020-18430.
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Solano, C., H. León, E. Pérez, and M. Herrero. "Who makes farming decisions? A study of Costa Rican dairy farmers." Agricultural Systems 67, no. 3 (March 2001): 181–99. http://dx.doi.org/10.1016/s0308-521x(00)00053-6.
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Vázquez-López, Alba, Martín Barrasa-Rioja, and Manuel Marey-Perez. "ICT in Rural Areas from the Perspective of Dairy Farming: A Systematic Review." Future Internet 13, no. 4 (April 13, 2021): 99. http://dx.doi.org/10.3390/fi13040099.
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This study presents a systematic review of 169 papers concerning the ICT (Information and Communication Technologies) related to rural areas, specifically to dairy farms. The objective was to delve into the relationship between dairy farmers and the administrative authorities via e-government, comparing this area to another eight concerning the farmer’s needs and expectations in relation to the ICT in different fields of their business. We observed that areas such as connectivity and digital inclusion are the most covered areas not only at the study level but also at the government level since countries all over the world are trying to develop politics to put an end to the so-called “digital divide,” which affects rural areas more intensely. This is increasing due to the growing technological innovations. The areas of the market, production, financial development, management and counseling, Smart Farming, and Internet of Things have been approached, associated with the ICT in dairy farms, showing in the latter two an increasing number of papers in the last few years. The area of public administration in relation to dairy farms has also been covered, being remarkable the low number of pieces of research concerning the interaction by the farmers, more specifically by dairy farmers, with the public administration, which is surprising due to the new global need and especially in the European Union (EU) of interacting with it telematically by all legal entities. The results show that there are still barriers to the implementation of the electronic government (e-government) since the websites do not meet the user’s expectations. Therefore, this study lays the ground for future research on this area. As a graphical abstract of the contributions of this paper, we present a graphic summary, where the different contributions by areas and expressed in percentage values are shown.
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Uddin, MT, K. Akhi, J. Begum, MS Islam, and MM Khatun. "A socioeconomic analysis of GO-NGO versus self-managed dairy farming in two districts of Bangladesh." Bangladesh Journal of Animal Science 43, no. 3 (December 31, 2014): 232–41. http://dx.doi.org/10.3329/bjas.v43i3.21656.
Full textAbstract:
With a view to address the present status of intervention received by dairy farmers from different government and non-government organizations and its impact on farmers livelihood pattern in relation to self-managed farmers, this present study was performed in two districts of Bangladesh namely, Manikganj and Sirajganj. Altogether 165 dairy farmers were selected from two districts. A combination of descriptive, statistical and mathematical techniques was applied to achieve the objectives and to get the meaningful results. The BCR were 2.3 for NGO supported and 2.4 for GO supported farmers. The productivity in terms of physical volume was higher in case of supported dairy farmers for both the areas which were tested by t-statistics. In determining the effects of the different variable inputs, four out of six variables (i.e., labor cost, paddy straw cost, green grass cost and concentrate feed cost) were found to have significant effect on gross returns from milk production for both supported and self-managed farmers. To accomplish the profit maximization, all types of dairy farmers have scope to attain full efficiency in milk production by reallocating the resources. Supported farm created greater opportunity for employment of both male and female than self-managed dairy farmers. Ravallion test results showed that the income was increased by the amount of Tk. 25400.6 due to intervention. Expenditure elasticity was also estimated at 0.40% which means that expenditure increased by 0.40%, on an average, due to 1% increase in income, other things remaining the same. The asset pentagon approach shows that there is a noteworthy improvement based on different capitals namely, human capital, social capital, natural capital, physical capital and financial capital of supported dairy farming. Although dairy farmers reported problems of low price of output, inadequate capital, etc., these could be minimized if both government and non-government organizations take proper measures in this regard, which will ultimately lead to improve farmers socioeconomic conditions and livelihood status.DOI: http://dx.doi.org/10.3329/bjas.v43i3.21656 Bang. J. Anim. Sci. 2014. 43 (3): 232-241
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Kizilay, Hatice, and Handan Akçaöz. "Farm-Specific Risk Analysis in Dairy Farming: A Case Study from Turkey." Turkish Journal of Agriculture - Food Science and Technology 4, no. 7 (July 15, 2016): 545. http://dx.doi.org/10.24925/turjaf.v4i7.545-551.640.
Full textAbstract:
The purposes of this study were to determine the socio-economic characteristics of dairy farmers in Antalya, in Turkey, calculate the gross income, variable costs and gross margin of dairy farms, determine the probability distributions of consequences for alternative decisions to enable dairy farmers as decision makers to make a good and well-informed choice, to determine cross effects of milk prices variations on the productive strategy of dairy farms. The data were gathered via face to face interviews in Korkuteli, Dosemealtı, Elmalı, Manavgat and Serik counties of Antalya province in Turkey. The survey study was conducted with 80 farmers, who were member of Dairy Cow Breaders Union, in the 2011 production period. In this study, on the basis of previous experience, dairy farmers assigned minimum, maximum and most likely values of milk price and yield over the next period of 5 years. Then, triangular and cumulative distributions were defined by using these values. Moreover, Monte Carlo Stochastic Simulation model was developed to obtain distribution of expected gross margin per cow. The model and triangular and cumulative distributions were built in Excel with @Risk add-in software. The relationship of mean risk aversion coefficient, calculated by using negative exponential function, with both average gross margin and gross margin standard deviation values determined for each farm was examined. The results show that the relation between average gross margin and mean risk aversion coefficient was negative and significant at 5% level. But, although the relation between gross margin standard deviation and mean risk aversion coefficient was found to be negative, it was not significant at 5% level.