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Journal articles on the topic 'Dairy analysis'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Bindu, T. Hima, Dr S. E. V. Subrahmanyam Dr.S.E.V.Subrahmanyam, and Dr M. S. Bhat Dr. M. S. Bhat. "Swot Analysis of Dairy Industry in India." International Journal of Scientific Research 3, no. 1 (June 1, 2012): 249–51. http://dx.doi.org/10.15373/22778179/jan2014/81.

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Pandian, A. Serma Saravana, M. Prabu M. Prabu, and N. Kumaravelu N. Kumaravelu. "Swot Analysis of Dairy Sector Development in Tamil Nadu." Indian Journal of Applied Research 3, no. 4 (October 1, 2011): 238–40. http://dx.doi.org/10.15373/2249555x/apr2013/80.

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3

Budiraharjo, Kustopo, Budi Raharjo, and Solikhin Solikhin. "ANALYSIS OF FACTORS AFFECTING THE IMPORT OF DAIRY MILK (CASE STUDY: THE IMPORT OF DAIRY MILK IN INDONESIA)." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 5, no. 1 (June 17, 2021): 27–33. http://dx.doi.org/10.14710/agrisocionomics.v5i1.7138.

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The supply of fresh dairy milk in the country (SSDN) has not been able to meet the needs of domestic dairy milk consumption so that the fulfillment of dairy milk consumption needs is also done byimporting dairy milk. This study aims to analyze the factors that influence milk imports in Indonesia.The research method uses quantitative analysis techniques, namely multiple linear regression. This research was conducted in Indonesia using secondary data from 2006-2016 obtained at the Central Statistics Agency and the Ministry of Agriculture and other literature related to research. Research variables include exchange rates, GDP per capita, milk exports, and milk production. The results showed that variables GDP per capita, milk exports, and milk production have positive influence. Meanwhile, exchange rate has negative influence for milk imports.

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Pandian, A. Serma Saravana, Dr K. N. Selvakumar Dr. K. N. Selvakumar, and Dr M. Prabu Dr. M. Prabu. "Impact of Dairy Development Programmes in India - An Economic Analysis." Indian Journal of Applied Research 3, no. 12 (October 1, 2011): 131–32. http://dx.doi.org/10.15373/2249555x/dec2013/35.

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5

Nasuda, Yuko, Masato Ohnuma, Michihiro Furusaka, Kaoru Hara, and Toshinori Ishida. "Nanostructure Analysis of Dairy Products." Nippon Shokuhin Kagaku Kogaku Kaishi 67, no. 6 (June 15, 2020): 186–92. http://dx.doi.org/10.3136/nskkk.67.186.

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6

Dahiya, Pooja, Roopsi Kaushik, and Anil Sindhu. "Physiological Analysis of Dairy Effluent." International Research Journal on Advanced Science Hub 2, Special Issue ICAET 11S (November 1, 2020): 20–29. http://dx.doi.org/10.47392/irjash.2020.228.

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7

Moori, Roberto Giro, Rodrigo Leme Pinto Lima, and Julio Eduardo Da Silva Menezes. "Collaborative Relationship Analysis Between Dairy." Journal of Operations and Supply Chain Management 5, no. 2 (December 22, 2012): 13. http://dx.doi.org/10.12660/joscmv5n2p13-25.

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This exploratory and descriptive study tested one application of the IMP Interaction <br />Model developed by the International Marketing and Purchasing Group (IMP Group) researchers. The <br />sample with 83 dairy farmers and 28 respondents from milk processing companies revealed, with a <br />statistical significance level of 0.05, that geographical concentration and information exchange (technical and administrative) constructs contribute for buyers and sellers collaborative relationship. This <br />result leads to conclude that logistics systems and the adoption of both process and information technologies are essential for Brazilian milk production chain competitiveness. In addition, IMP Interaction <br />Model has been proved to be efficient in showing the main constructs contribution for development <br />and maintenance of collaborative relationships between buyers and sellers.

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8

Zdenka, Naglova, Boberova Barbora, Horakova Tereza, and Smutka Lubos. "Statistical analysis of factors influencing the results of enterprises in dairy industry." Agricultural Economics (Zemědělská ekonomika) 63, No. 6 (June 13, 2017): 259–70. http://dx.doi.org/10.17221/353/2015-agricecon.

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The article deals with companies processing and producing dairy products and cheeses in the Czech market. The dairy industry is a crucial field among the production of food products. On March 31, 2015 the milk quotas were cancelled. The impacts of their cancelation can bring danger for the dairy business but also provide some opportunities. Therefore it is important that businesses are economically powerful and so are able to strengthen their competitive position. This article aims to analyse businesses to identify vulnerable groups of businesses and those groups whose welfare is not essentially jeopardized. Partially, the aim is to assess whether there are significant differences in economic indicators among enterprises of the dairy industry (divided according to their size, ownership and subsidy drawing). At the same time the aim is to find groups of dairy businesses from the set which are similar to each other and which differ from other groups of companies and thus set their position in the Czech market. Over all there were 35 dairy milk businesses analysed in 2013. There were statistically significant differences in some economic indicators among corporations considering drawing grants, size, ownership structure and binding to primary production. According to the cluster analysis the large companies with foreign ownership can be considered as a potential threat and may affect the position and competitiveness of other businesses. The results indicate the endangered position of Czech medium-sized businesses as well as opportunities for stabilizing small businesses which specialize closely.

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9

Demircan, V., T. Binici, H. Koknaroglu, and Aktas AR. "Economic analysis of different dairy farm sizes in Burdur province inTurkey." Czech Journal of Animal Science 51, No. 1 (December 5, 2011): 8–17. http://dx.doi.org/10.17221/3903-cjas.

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The purpose of this study was to analyze the economic structure of different dairy farm sizes in Burdur province in Turkey. Data were acquired by conducting a survey on 132 dairy farms selected by the stratified random sampling method. Dairy farms were divided into three groups according to their sizes and were analyzed accordingly. It was found that production cost decreased and profit increased as animal unit per farm increased. Production costs per animal unit for the first, second, and third group were 2 634.09, 2 252.01 and 1 930.52 YTL, respectively (1 USD = 1.42 YTL), whereas the net profit was –267.36, 25.95 and 405.99 YTL, respectively. When the average profit of all farms was considered, it was found that the profit was not high enough to sustain a farm household’s living. In the study area the retail sale price of 1 kg of milk was 0.468 YTL and production cost of 1 kg milk was 0.455 YTL. Hence it could be said that the profit margin (0.013 YTL/kg), defined as the difference between these two prices, was small. It was found that besides milk production, the cattle value appreciation increased farm income.  

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10

Cho, Kwang-Hyun, Jun-Pyo Choi, Byung-Wha You, Deuk-Hwan Lee, Hong-Sik Kong, Kyung-Do Park, and Hak-Kyo Lee. "Analysis of Daily Milking Flow in Holstein Dairy Cow Using the LactoCorder." Journal of Animal Science and Technology 51, no. 4 (August 1, 2009): 265–72. http://dx.doi.org/10.5187/jast.2009.51.4.265.

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11

Strahm, T., Joseph P. Harner, David V. Key, and James P. Murphy. "Nutrient analysis of sandladen dairy manure." Kansas Agricultural Experiment Station Research Reports, no. 2 (January 1, 1999): 43–45. http://dx.doi.org/10.4148/2378-5977.2949.

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12

Nguyen, Hien Thi Dieu. "Competitive analysis of Vietnam dairy industry." Science and Technology Development Journal 19, no. 4 (December 31, 2016): 48–67. http://dx.doi.org/10.32508/stdj.v19i4.771.

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Vietnam dairy industry has gained an impressive growth both in value an volume in the recent years. The domestic dairy market has advantageous conditions for development (e.g. the rapid increase in consumer demand, size of dairy enterprises or the expansion trend in cow breeding industry etc.). However, the domestic dairy industry are faced with multiple disadvantageous conditions that constrain the development potential (e.g. the irrational demand of consumers and inconsistency in management of authorities etc.) The author employs Porter’s diamond model to analyze 4 factors, including i) Factor conditions; ii) Related and supporting industries; iii) Demand conditions and; iv) Firm strategy, structure and rivalry. Results shows that the Vietnam dairy industry owns competitive advantages and potential for development. This research provides stakeholders with an overview of competitive advantages of the Vietnam dairy industry, thereby having suitable strategies.

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13

Gunjal, Kisan, Louis Menard, and Ramaradj Shanmugam. "Economic analysis of crossbreeding dairy cattle." Agricultural Systems 54, no. 3 (July 1997): 327–39. http://dx.doi.org/10.1016/s0308-521x(96)00068-6.

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14

Bouamra Mechemache, Z. "Analysis of EU dairy policy reform." European Review of Agriculture Economics 27, no. 4 (December 1, 2000): 409–30. http://dx.doi.org/10.1093/erae/27.4.409.

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15

Wang, Wei. "MEKC Technique-Based Dairy Product Biochemical Analysis." Open Biotechnology Journal 9, no. 1 (November 12, 2015): 258–64. http://dx.doi.org/10.2174/1874070701509010258.

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The paper applies MEKC technique to simultaneously carry out quantitative analysis on dairy product’s melamine (Mel) and 5-hydroxymethyl furfural (HMF) bi-component. The quantization analytic experiment starts with a systematic research on operating voltage, electrophoretic buffer solution gravity and optimum pH value, which further influences additives’ concentration as well as other factors, and detects 10 kinds of practical samples on the basis of defined optimum conditions. Detection result indicates that both Mel and HMF showed peaks in 16min, simultaneously acquiring two indicator parameters in one analytical test, This test verifies applicability and scientific validity of MEKC technical approach in dairy product’s Mel and HMF contents detection, which can play an effective role in providing rapid and reliable daily monitoring support for dairy industry.

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16

Jacob, Shibu K., and Anu George. "Analysis of the Clean Milk Production Practices of Dairy Farmers of Kerala." Indian Journal of Applied Research 3, no. 7 (October 1, 2011): 604–6. http://dx.doi.org/10.15373/2249555x/july2013/192.

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17

Afaq, Dr Sarah. "Analysis of Vitamin Content in the Milk of Dairy Animals Vs. Humans." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 499–500. http://dx.doi.org/10.15373/2249555x/may2013/158.

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18

박철수 and CHANG BYUNG MAN. "n Efficiency Analysis of Dairy Product Agencies using Data Envelopment Analysis (DEA) -Focused on S Cooperative Dairy-." KOREAN JOURNAL OF COOPERATIVE STUDIES 34, no. 3 (December 2016): 21–42. http://dx.doi.org/10.35412/kjcs.2016.34.3.002.

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19

Zhang, Yuxuan. "Comparative Analysis of Dairy Industry of China." BCP Business & Management 34 (December 14, 2022): 1500–1506. http://dx.doi.org/10.54691/bcpbm.v34i.3205.

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The research on dairy industry became popular in recent years. Some researchers found that the gap in the profitability of dairy enterprises mainly comes from the differences in their capital structure and operating efficiency. However, there is still a lack of unified understanding of the specific influencing factors and the competition pattern between different enterprises. Therefore, this paper mainly uses the data analysis method to select Mengniu and Yili, two leading dairy enterprises, and Guangming Dairy, which is in the second echelon, as the research object. Through collecting relevant indicators such as profitability, this paper conducts a comparative analysis to explore the competitiveness of different dairy enterprises and the reasons behind it. The research found that Mengniu Dairy had the highest equity beta, while Guangming lotion had the lowest equity beta, and gave investment suggestions.

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20

MO, Azabagaoglu. "Determination of dairy farmers’ existing structure in Turkey and analysis of emerging issues in production." Agricultural Economics (Zemědělská ekonomika) 50, No. 6 (February 24, 2012): 255–60. http://dx.doi.org/10.17221/5199-agricecon.

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This paper aimed at revealing both dairy farmers’ problems and structural issues of dairying in Turkey. First of all, majority of the dairy sector examined is compared to developed and developing country figures and practices. Next, Turkish dairy sector figures are argued with developing country examples. Consequently, problems that were faced by dairy farmers were studied and the data related to problems were examined with factor analysis. Research data were collected from 282 dairy farmers in Turkey. Results indicate that milk yield was found to be 4 443.5 kg/year/cow so that it is quite high compared to Turkey’s average, closer to the EU average. The average number of dairy cow per farm was found very low at 4.6 units. The fodder consumption average was found to be 14.6 ton/year, producers silage consumption averages were found to be 47.1 tons/year and 8.18 tons/year mixed feed. The dairy farmers’ response indicates that low raw milk price and fluctuations in market and higher feed prices are the major problem in Turkey. Factor analysis results indicate similar findings that the above-mentioned problems extracted from same group of issues, which is called more important.

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21

van der Linden, Aart, Simon J. Oosting, Gerrie W. J. van de Ven, Ronald Zom, Martin K. van Ittersum, Pierre J. Gerber, and Imke J. M. de Boer. "Yield gap analysis in dairy production systems using the mechanistic model LiGAPS-Dairy." Journal of Dairy Science 104, no. 5 (May 2021): 5689–704. http://dx.doi.org/10.3168/jds.2020-19078.

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22

Groeneveld, Rolf A., Justus Wesseler, and Paul B. M. Berentsen. "Dominos in the dairy: An analysis of transgenic maize in Dutch dairy farming." Ecological Economics 86 (February 2013): 107–16. http://dx.doi.org/10.1016/j.ecolecon.2012.11.011.

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23

Verma, Aagosh, and Anuradha Singh. "Physico-Chemical Analysis of Dairy Industrial Effluent." International Journal of Current Microbiology and Applied Sciences 6, no. 7 (June 10, 2017): 1769–75. http://dx.doi.org/10.20546/ijcmas.2017.607.213.

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24

Drake, M. A. "Invited Review: Sensory Analysis of Dairy Foods." Journal of Dairy Science 90, no. 11 (November 2007): 4925–37. http://dx.doi.org/10.3168/jds.2007-0332.

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25

Larasati, Maulidya, Wiludjeng Roessali, and Agus Setiadi. "Risk Analysis Of Dairy Cow Milk Production." SOCA: Jurnal Sosial, Ekonomi Pertanian 15, no. 1 (January 31, 2021): 133. http://dx.doi.org/10.24843/soca.2021.v15.i01.p12.

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Dairy farmers need to know the risk management strategies in dairy cow milk production process to reach the optimal production and preventing decrease. Pangudi Mulyo Animal Husbandry Group is a farmer group that engaged in dairy cows business and makes dairy milk as its main product. This study aimed to identify risks and set priorities for handling and analyzing risk management strategies for dairy cow milk production. This research was conducted in December 2019-January 2020 in Pangudi Mulyo Animal Husbandry Group located in Randusari Hamlet, Nongkosawit Village, Gunungpati District, Semarang. The method used in this study was census method, by taking 33 active members of the Pangudi Mulyo Animal Husbandry Group. Data collection was carried out through observation and interviews according to the questionnaire. The data were analyzed using quantitative analysis with the House of Risk (HOR) Phase 1 and Phase 2 methods. The results shows that there were 17 risk events and 17 risk agents in HOR Phase 1 and there were 8 risk agents that needed handling based on the high value of Aggregate Risk Potential (ARP). There are identified 13 risk management strategies obtained from HOR phase 2 in accordance with the Effectiveness of Difficult (ETD) assessment of risk agents that need to be addressed.

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26

R, St Aisyah, Darmawan Salman, Ahmad Ramadhan Siregar, and Syahdar Baba. "Modernizing Dairy Farm: A Production Mode Analysis." International Journal on Advanced Science, Engineering and Information Technology 10, no. 2 (April 22, 2020): 775. http://dx.doi.org/10.18517/ijaseit.10.2.9489.

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27

Mahajan, Sumit, Janailin S. Papang, Avinash Ghule, Shalini Arora, and Indu . "Analysis of dairy cooperative movement in Haryana." Indian Journal of Dairy Science 72, no. 05 (October 28, 2019): 554–61. http://dx.doi.org/10.33785/ijds.2019.v72i05.014.

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28

Zubkov, Igor. "Analysis of ventilation systems in dairy farms." Актуальные направления научных исследований XXI века: теория и практика 3, no. 7 (December 10, 2015): 410–14. http://dx.doi.org/10.12737/14892.

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29

Husband, James, and Richard Vecqueray. "Clinical: Using urine analysis in dairy cows." Livestock 12, no. 6 (October 2007): 33–35. http://dx.doi.org/10.1111/j.2044-3870.2007.tb00124.x.

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30

Singh, A., and J. R. Bicudo. "Dairy Manure Nutrient Analysis using Quick Tests." Environmental Technology 26, no. 5 (May 2005): 471–78. http://dx.doi.org/10.1080/09593332608618541.

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31

Yang, Wang, Wang Li-min, and Li Cui-xia. "Analysis on Dairy Consumption in Heilongjiang Province." Journal of Northeast Agricultural University (English Edition) 20, no. 3 (September 2013): 88–96. http://dx.doi.org/10.1016/s1006-8104(14)60014-3.

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32

Morlock, Gertrud E., Lauritz P. Morlock, and Carot Lemo. "Streamlined analysis of lactose-free dairy products." Journal of Chromatography A 1324 (January 2014): 215–23. http://dx.doi.org/10.1016/j.chroma.2013.11.038.

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33

Manfredi, E., V. Ducrocq, and J. L. Foulley. "Genetic Analysis of Dystocia in Dairy Cattle." Journal of Dairy Science 74, no. 5 (May 1991): 1715–23. http://dx.doi.org/10.3168/jds.s0022-0302(91)78334-3.

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34

Lahrichi, Nadia, Teodor Gabriel Crainic, Michel Gendreau, Walter Rei, and Louis-Martin Rousseau. "Strategic analysis of the dairy transportation problem." Journal of the Operational Research Society 66, no. 1 (January 2015): 44–56. http://dx.doi.org/10.1057/jors.2013.147.

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35

Borusiewicz, Andrzej. "Analysis of Technical Equipment in Dairy Farms." Agricultural Engineering 21, no. 1 (March 1, 2017): 29–38. http://dx.doi.org/10.1515/agriceng-2017-0003.

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Abstract The paper analyses technical equipment of the selected dairy farms. Data from questionnaires carried out in 96 farms in 2015 constituted a research material. Municipalities Lszewo-Borki in Mazowieckie Voivodeship were covered by the survey. A survey questionnaire, which consisted of two parts, was a research instrument. The first concerned general information on a farm and its owner, and the other consisted of eight questions on technical equipment used for breeding dairy cows. The research allowed to determine that farmers assessed the condition of their machinery park as average (50%) or good (40%). One out of ten farmers claimed that the used machinery park in a farm is in a bad condition. Majority of respondents have allotted from PLN 20 to 50 thousand for investments related to enhancement of a machinery park within the last 5 years. On the other hand, a considerable part of farms allotted up to PLN 20 thousand for development of a machinery park. The investigated group included also farms, which allotted more than PLN 500 thousand for development of a park.

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Datta, Apurba Kumar, Mohammed Ziaul Haider, and Sumon Kumar Ghosh. "Economic analysis of dairy farming in Bangladesh." Tropical Animal Health and Production 51, no. 1 (July 13, 2018): 55–64. http://dx.doi.org/10.1007/s11250-018-1659-7.

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37

Priyamvada, Shweta. "Economic Analysis of Unorganized Dairy Cattle Farms in Jorhat District of Assam, India." Alinteri Journal of Agricultural Sciences 36, no. 1 (February 6, 2021): 38–46. http://dx.doi.org/10.47059/alinteri/v36i1/ajas21007.

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38

Pšenka, M., M. Šístková, Š. Mihina, and R. Gálik. "Frequency analysis of noise exposure of dairy cows in the process of milking." Research in Agricultural Engineering 62, No. 4 (November 28, 2016): 185–89. http://dx.doi.org/10.17221/4/2015-rae.

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In the environment of farms and farm buildings, cattle are exposed to various unnatural influences. Such an impact is also noise always arising with a certain energy conversion. In cattle farms, the sources of noise are represented by various mechanical equipment and machines that are used for enabling farm operations. The aim of the paper was to analyse the noise levels in dairy cattle production in the environment, during their day routine. Noise levels were measured at two farms with a different technological layout of milking parlour, with a different way of milking. The noise exposure of dairy cows was measured in three locations, namely in the milking parlour, during standing in the area before milking (in the so-called collection room) and directly in the stabling area. Noise exposure was measured during milking and when the milking parlour was turned off. The values were compared with the hearing sensitivity of cattle at selected frequencies (0.5, 1, 2, 4, 8 and 16 kHz).

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39

Khemariya, Priti, Sudhir Singh, Gopal Nath, and Anil K. Gulati. "Diversity analysis of dairy and non-dairy strains of Lactococcus lactis ssp. lactis by multilocus sequence analysis (MLSA)." Annals of Microbiology 63, no. 3 (October 27, 2012): 1065–74. http://dx.doi.org/10.1007/s13213-012-0563-z.

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40

Deshmukh, Aditya, Aditya Purohit, Aman Pratap Singh, and Anirudha Singh. "Implementation of Android Application In React-Native: Daily Dairy." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1846–52. http://dx.doi.org/10.22214/ijraset.2022.41655.

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Abstract: This paper describes the whole process of android application development using the react-native framework and firebase of google and developed the application “DailyDairy''. The Application is developed for medium-sized and digitally illiterate dairy farmers. The software is divided into milk distribution management and payment transactions, statistics and analysis can be a variety of technical data to analyze, synthesize, organize, and the User Interface is practical, economic, and user-friendly. This application also solves the differences between Vendor and his Customers. This paper also describes the integration of firebase firestore (database provided by google) with android application development with javascript framework react-native and code editor used in is visual studio code by Microsoft. Keywords: Dairy Management, Android application, Vendor, Customer, Milk, Dairy Farmer, Digital Literacy

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Pimentel, Luana S., Jeremias Moraes, Aderval S. Luna, Diego B. Barros, Tatiana C. Pimentel, Jonas T. Guimarães, Hugo L. A. Silva, et al. "Brazilian infant dairy foods: mineral content and daily intake contribution." British Food Journal 120, no. 10 (October 1, 2018): 2454–65. http://dx.doi.org/10.1108/bfj-11-2017-0649.

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Purpose The purpose of this paper is to investigate the mineral content of seven Brazilian infant dairy product categories (petit Suisse cheeses, fermented milks, yogurts, fermented dairy beverage, dairy dessert, Requeijão cremoso spreadable cheese and UHT dairy beverages) and estimate their contribution to daily intake. Design/methodology/approach The composition of major (Ca, K, Mg, and Na) and trace (Pb, Cd, Cu and Mn) minerals was determined using Inductively Coupled Plasma Optical Emission Spectrometry. Furthermore, a comparative analysis of the mineral levels with the Reference Daily Intake (RDI) at different child development stages was carried out. Findings High Ca levels were observed in petit Suisse (3.44±1.66 mg g−1), dairy dessert (3.88±0.02 mg g−1) and Requeijão cremoso (4.14±0.07 mg g−1). Dairy dessert presented the highest K level (2.57±0.07 mg g−1), while the Requeijão cremoso presented the highest Na content (4.78±0.10 mg g−1), and both products had the highest Mg contents (238.55±16.27 and 197.39±5.18 µg g−1, respectively). Trace elements (Cd, Cu, Mn and Pb) were below the limit of detection for all commercial dairy foods. Among food products analyzed, petit Suisse cheese and dairy dessert can be considered good sources of calcium, while Requeijão cremoso is high in both calcium and sodium. Originality/value This study is the first to analyze the mineral levels of several Brazilian infant dairy foods and the daily intake contribution during important child development stages. These findings provide valuable guidance for researchers and practitioners trying to develop healthy and nutritious dairy products for infants and children.

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Rakhman, M., and D. Hryzo. "Analysis of Ukraine's milk and dairy products market." 101, no. 101 (December 30, 2021): 59–67. http://dx.doi.org/10.26565/2311-2379-2021-101-06.

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To date, Ukraine's dairy and milk-processing industry has a number of problems that hinder its effective development. Producers of milk and dairy products are trying to move away from Soviet-era standards and adopt new European technologies. To date, the dairy industry is one of the leading sectors of the economy, which provides the population with food and is a component of food security of the state, which makes this work urgent. The article analyzes the state of the dairy products market in Ukraine for the period from 2016 to 2020. The paper presents the dynamics and forecast of the values of the main economic indicators of the Ukrainian market of milk and dairy products for the next year, formulates recommendations to improve the activities of actors of the market of milk and dairy products in Ukraine. The results are obtained on the basis of structural, dynamic and matrix analysis of the market. Considered the main problems of the dairy industry, including: reducing the number of dairy processing plants, reducing the number of cattle, the low level of technological equipment in production and lack of modern equipment for storage and processing of raw materials. As a consequence, such trends have led to a significant increase in the cost of production of raw milk and an expected increase in the price of finished products, which, in turn, has led to a reduction in demand for dairy products. Using SWOT- and PEST-analysis the properties of the milk and dairy products market of Ukraine as a whole, its subjects and their interaction have been studied and presented in a systematic form. Proposals to improve the state of the market of milk and dairy products in Ukraine are formulated. The proposals are grouped into the following areas: economic activity, technology and resources and state support. The combination of state support measures, entrepreneurial efforts, and reliance on international experience will preserve food security in Ukraine and provide the population with high-quality dairy products in the required quantity, reduce imports, and introduce advanced resource-saving technologies. There is a potential opportunity for Ukrainian producers to reach new international markets, but on condition that product quality indicators are met.

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43

Biswas, Tethi, Debasmita Chatterjee, Sinchini Barman, Amrita Chakraborty, Nabanita Halder, Srimoyee Banerjee, and Shaon Raychaudhuri. "Cultivable Bacterial Community Analysis of Dairy Activated Sludge for Value Addition to Dairy Wastewater." Microbiology and Biotechnology Letters 47, no. 4 (December 28, 2019): 585–95. http://dx.doi.org/10.4014/mbl.1901.01014.

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Hamdilah, Sri Ratu Nurul, Maulidian, and Rukavina Baskh. "PENGEMBANGAN MODEL BISNIS PETERNAKAN SUSU SAPI PERAH MELALUI PERSPEKTIF BLUE OCEAN (STUDI KASUS: PETERNAKAN SAPI PERAH CIBUGARY DI PONDOK RANGGON CIPAYUNG JAKARTA TIMUR)." Jurnal Bioindustri 4, no. 1 (November 30, 2021): 25–40. http://dx.doi.org/10.31326/jbio.v4i1.706.

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Cibugary dairy farm is one of the dairy farms that actively produces milk and has an agritourism concept. Cibugary Farm as an old player in the midst of the many players in the dairy industry and is currently trapped in fierce competition (red ocean). The purpose of this study was to analyze the condition of business model, analyze the internal and external environment on Cibugary dairy farm and analyze the right business model for Cibugary dairy farm The analytical method used is the business model canvas, IFAS and EFAs analysis, SWOT and Blue Ocean Strategy. The results of this study are to find several alternative business strategies through a SWOT matrix combined with a blue ocean perspective that is eliminate-reduce-increase-create that will be used by companies to encounter the future. To avoid fierce competition and create blue oceans, Cibugary dairy farms must try to differentiate from existing competitors. In Cibugary product elements is diversifying date palm milk products and memberships cards. While the Cibugary agro-tourism element is creating adventure and Cibugary creation shelter.

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Alexander, Dominik D., Lauren C. Bylsma, Ashley J. Vargas, Sarah S. Cohen, Abigail Doucette, Muhima Mohamed, Sarah R. Irvin, Paula E. Miller, Heather Watson, and Jon P. Fryzek. "Dairy consumption and CVD: a systematic review and meta-analysis." British Journal of Nutrition 115, no. 4 (January 20, 2016): 737–50. http://dx.doi.org/10.1017/s0007114515005000.

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AbstractInverse associations between dairy consumption and CVD have been reported in several epidemiological studies. Our objective was to conduct a meta-analysis of prospective cohort studies of dairy intake and CVD. A comprehensive literature search was conducted to identify studies that reported risk estimates for total dairy intake, individual dairy products, low/full-fat dairy intake, Ca from dairy sources and CVD, CHD and stroke. Random-effects meta-analyses were used to generate summary relative risk estimates (SRRE) for high v. low intake and stratified intake dose–response analyses. Additional dose–response analyses were performed. Heterogeneity was examined in sub-group and sensitivity analyses. In total, thirty-one unique cohort studies were identified and included in the meta-analysis. Several statistically significant SRRE below 1.0 were observed, namely for total dairy intake and stroke (SRRE=0·91; 95 % CI 0·83, 0·99), cheese intake and CHD (SRRE=0·82; 95 % CI 0·72, 0·93) and stroke (SRRE=0·87; 95 % CI 0·77, 0·99), and Ca from dairy sources and stroke (SRRE=0·69; 95 % CI 0·60, 0·81). However, there was little evidence for inverse dose–response relationships between the dairy variables and CHD and stroke after adjusting for within-study covariance. The results of this meta-analysis of prospective cohort studies have shown that dairy consumption may be associated with reduced risks of CVD, although additional data are needed to more comprehensively examine potential dose–response patterns.

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Fan, Mengying, Yuqian Li, Chongjian Wang, Zhenxing Mao, Lulu Zhang, Xiu Yang, Songyang Cui, and Linlin Li. "Consumption of Dairy Products in Relation to Type 2 Diabetes Mellitus in Chinese People: The Henan Rural Cohort Study and an Updated Meta-Analysis." Nutrients 12, no. 12 (December 15, 2020): 3827. http://dx.doi.org/10.3390/nu12123827.

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Recent studies on whether dairy consumption is associated with type 2 diabetes mellitus (T2DM) have yielded inconsistent results, so we explored the relationship between dairy consumption and T2DM through a large-sample, cross-sectional study and a meta-analysis. In the meta-analysis, summary relative risks (RRs) of 23 articles were compiled with a random effects model, and a restricted cubic spline regression model was used to explore whether there is a nonlinear relationship between dairy intake and T2DM risk. This cross-sectional study used baseline data from 38,735 participants of the Henan Rural Cohort study and the association between dairy consumption and T2DM was analyzed by a logistic regression model. The meta-analysis revealed a borderline negative significant association between total dairy intake and risk of T2DM, the RR and 95% confidence interval (CI) was 0.94; (0.89, 1.00), and the risk was lowest at 270 g daily dairy intake. In the cross-sectional study, there were 3654 T2DM patients and 68.3 percent of the respondents had no dairy intake. The average intake of dairy in the total population was 12 g per day. Fully adjusted analyses suggested positive associations, with an odds ratio (OR) comparing the highest with the zero intake of 1.34 (95% CI: 1.22, 1.48) for all participants, which was unaffected by sex. Dairy intake in rural areas of Henan province is low, and we found, in the context of overall low dairy intake, that a high intake was positively associated with T2DM, which is inconsistent with the meta-analysis results suggesting that dairy has marginal protective effects against T2DM.

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Karpenko, Vitalii. "ANALYSIS OF THE DOMESTIC DAIRY MARKET: REALITIES AND PROSPECTS." INNOVATIVE ECONOMY, no. 7-8 (2021): 96–103. http://dx.doi.org/10.37332/2309-1533.2021.7-8.13.

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Purpose. The aim of the article is the analysis of the dynamics of development of the domestic dairy market. Methodology of research. The following methods are used in the research process: monographic, comparative analysis – in assessing the general trends in the dynamics of indicators of the level of milk production, its processing, evaluation of milk processing enterprises; graphic – when displaying the production of basic dairy products; abstract and logical – in preparing conclusions. Findings. The dynamics of milk production in Ukraine, the dynamics of milk production per capita in all categories of farms and the dynamics of dairy production in Ukraine are analysed. The key players – processors in the dairy market have been identified. The dynamics of average prices of milk sales by agricultural enterprises of all forms of ownership is estimated. The structure of dairy production in 2020 and the structure of the largest dairy producers in 2020 are substantiated. It has been suggested that in order to increase the efficiency of milk processing enterprises, it is advisable to build partnerships between all market participants, which will create the necessary economic conditions for increasing the number of dairy cows through the equivalent pricing mechanism and, consequently, increase milk production. Originality. Ways to improve the functioning of milk processing enterprises by improving the creativity of the marketing system, the range of dairy products, the introduction of new dairy products to consumers (eco-products), improving the quality of milk as a raw material. Practical value. The results of the study can be used in the formation of development strategies, as well as in determining the reserves of economic growth of dairy enterprises in Ukraine. Prospects of functioning of dairy producers of the country are substantiated. Key words: market of milk and dairy products; production of dairy products; cream; butter; cheese; yogurt; milk processing enterprise.

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Hyde, Robert M., John G. Remnant, Andrew J. Bradley, James E. Breen, Christopher D. Hudson, Peers L. Davies, Tom Clarke, et al. "Quantitative analysis of antimicrobial use on British dairy farms." Veterinary Record 181, no. 25 (December 20, 2017): 683. http://dx.doi.org/10.1136/vr.104614.

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Antimicrobial resistance has been reported to represent a growing threat to both human and animal health, and concerns have been raised around levels of antimicrobial usage (AMU) within the livestock industry. To provide a benchmark for dairy cattle AMU and identify factors associated with high AMU, data from a convenience sample of 358 dairy farms were analysed using both mass-based and dose-based metrics following standard methodologies proposed by the European Surveillance of Veterinary Antimicrobial Consumption project. Metrics calculated were mass (mg) of antimicrobial active ingredient per population correction unit (mg/PCU), defined daily doses (DDDvet) and defined course doses (DCDvet). AMU on dairy farms ranged from 0.36 to 97.79 mg/PCU, with a median and mean of 15.97 and 20.62 mg/PCU, respectively. Dose-based analysis ranged from 0.05 to 20.29 DDDvet, with a median and mean of 4.03 and 4.60 DDDvet, respectively. Multivariable analysis highlighted that usage of antibiotics via oral and footbath routes increased the odds of a farm being in the top quartile (>27.9 mg/PCU) of antimicrobial users. While dairy cattle farm AMU appeared to be lower than UK livestock average, there were a selection of outlying farms with extremely high AMU, with the top 25 per cent of farms contributing greater than 50 per cent of AMU by mass. Identification of these high use farms may enable targeted AMU reduction strategies and facilitate a significant reduction in overall dairy cattle AMU.

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Gemelas, L., P. Degraeve, A. Hallier, and Y. Demarigny. "Fermented dairy product for a low-fat bakery product application: chemical and sensory analysis." Czech Journal of Food Sciences 34, No. 6 (December 21, 2016): 529–33. http://dx.doi.org/10.17221/127/2016-cjfs.

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Whey was fermented using different lactic acid bacteria in order to obtain an ingredient as a substitute for butter in pastry products. Lactococcus lactis subsp. lactis biovar diacetylactis was selected based on its capacity to produce buttery flavours like diacetyl. Fermentation parameters such as temperature, aeration, citrate addition, and the duration of each fermentation step were selected in order to boost diacetyl production. Fermented whey was then added as an ingredient to white sandwich bread which did not initially contain any butter in the recipe. Sensory analysis brought to light that the buttery aroma was under the perception threshold in the bread containing the mixture even though the fermented whey contained diacetyl.

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Baiguzhinova, A. Zh. "Economic and statistical analysis of the dairy industry development in the Republic of Kazakhstan." BULLETIN OF THE KARAGANDA UNIVERSITY. ECONOMY SERIES 98 (June 30, 2020): 6–14. http://dx.doi.org/10.31489/2020ec2/6-14.

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