Ultrasound Technology in the Diagnosis and Prognosis of Mastitis in Dairy Cattle: Advancements, Applications, and Future Directions
DOI:
https://doi.org/10.70749/ijbr.v3i6.1006Keywords:
Ultrasound, Mastitis, Dairy cattle, Udder healthAbstract
The review article examines the pivotal importance of ultrasound technology in the diagnosis and prognosis of mastitis in dairy cattle, a prominent obstacle in the dairy business. Mastitis, a condition characterised by inflammation of the mammary gland, carries significant economic and animal welfare consequences, underscoring the importance of prompt and precise care. Ultrasound, being a non-invasive and adaptable imaging technology, has become a potent diagnostic and prognostic aid. The article discusses mastitis, its financial ramifications, and the imperative nature of timely detection. The text explores the evolution of ultrasonic technology, examines its utilisation in veterinary care, and emphasises its advantages over conventional techniques. Furthermore, it explores the prognostic elements, namely in forecasting milk production and udder-related ailments. This text provides an explanation of how mastitis can be assessed using digital image analysis, numerical pixel values, and pixel heterogeneity. The article discusses the utilisation of real-time monitoring technology and the incorporation of artificial intelligence in the analysis of ultrasound data. The statement recognises the difficulties in using ultrasonography on a large scale and supports further investigation and practical application of this technology. In essence, it sees ultrasound as a highly promising instrument for enhancing the health and productivity of dairy cattle.
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Abouelnasr, K., El-Shafaey, E.-S., Mosbah, E., and El-Khodery, S. (2016). Utility of ultrasonography for diagnosis of superficial swellings in buffalo (Bubalus bubalis). Journal of veterinary medical science 78, 1303-1309.
https://doi.org/10.1292/jvms.15-0629
Adam, Z., Ragab, G., Awaad, A., Tawfiek, M., and Maksoud, M. (2017). Gross anatomy and ultrasonography of the udder in goat. Journal of Morphological Sciences 34, 137-142.
https://doi.org/10.4322/jms.105316
Adamczyk, K. (2018). Dairy cattle welfare as a result of human-animal relationship–a review. Annals of Animal Science 18, 601-622.
https://doi.org/10.2478/aoas-2018-0013
Ali, J. (2007). Livestock sector development and implications for rural poverty alleviation in India. Livestock Research for Rural Development 19, 1-15.
Alonso, S., Muunda, E., Ahlberg, S., Blackmore, E., and Grace, D. (2018). Beyond food safety: Socio-economic effects of training informal dairy vendors in Kenya. Global food security 18, 86-92.
https://doi.org/10.1016/j.gfs.2018.08.006
Ambord, S., and Bruckmaier, R. (2010). Milk flow-dependent vacuum loss in high-line milking systems: Effects on milking characteristics and teat tissue condition. Journal of dairy science 93, 3588-3594.
https://doi.org/10.3168/jds.2010-3059
Appleby, M. C., and Mitchell, L. A. (2018). Understanding human and other animal behaviour: Ethology, welfare and food policy. Applied animal behaviour science 205, 126-131.
https://doi.org/10.1016/j.applanim.2018.05.032
Atigui, M., Marnet, P.-G., Harrabi, H., Bessalah, S., Khorchani, T., and Hammadi, M. (2016). Relationship between external and internal udder and teat measurements of machine milked dromedary camels. Tropical animal health and production 48, 935-942.
https://doi.org/10.1007/s11250-016-1059-9
Auldist, M., and Hubble, I. (1998). Effects of mastitis on raw milk and dairy products. Australian journal of dairy technology 53, 28.
Barbagianni, M. S., and Gouletsou, P. G. (2023). Modern Imaging Techniques in the Study and Disease Diagnosis of the Mammary Glands of Animals. Veterinary Sciences 10, 83.
https://doi.org/10.3390/vetsci10020083
Barkema, H. W., von Keyserlingk, M. A., Kastelic, J. P., Lam, T. J., Luby, C., Roy, J.-P., LeBlanc, S. J., Keefe, G. P., and Kelton, D. F. (2015). Invited review: Changes in the dairy industry affecting dairy cattle health and welfare. Journal of dairy science 98, 7426-7445.
https://doi.org/10.3168/jds.2015-9377
Bhakat, C., Singh, A. K., Mandal, A., Karunakaran, M., Mohammad, A., and Mandal, D. (2022). Udder health maintenance to augment milk production in dairy cattle: A review. Indian Journal of Animal Research.
https://doi.org/10.18805/ijar.b-4816
Bhosale, R. R., Osmani, R. A., Ghodake, P. P., Shaikh, S. M., and Chavan, S. R. (2014). Mastitis: an intensive crisis in veterinary science. International Journal of Pharma Research and Health Sciences 2, 96-103.
https://doi.org/10.30750/ijpbr.2.1.19
Bobbo, T., Ruegg, P., Stocco, G., Fiore, E., Gianesella, M., Morgante, M., Pasotto, D., Bittante, G., and Cecchinato, A. (2017). Associations between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition, and cheese-making traits in dairy cows. Journal of dairy science 100, 4868-4883.
https://doi.org/10.3168/jds.2016-12353
Bonelli, F., Orsetti, C., Turini, L., Meucci, V., Pierattini, A., Sgorbini, M., and Citi, S. (2020). Mammary cistern size during the dry period in healthy dairy cows: a preliminary study for an ultrasonographic evaluation. Animals 10, 2082.
https://doi.org/10.3390/ani10112082
Boon, J. A. (2011). "Veterinary echocardiography," John Wiley & Sons.
Boström, A., Asplund, K., Bergh, A., and Hyytiäinen, H. (2022). Systematic Review of Complementary and Alternative Veterinary Medicine in Sport and Companion Animals: Therapeutic Ultrasound. Animals 12, 3144.
Bouhali, O., Bensmail, H., Sheharyar, A., David, F., and Johnson, J. P. (2022). A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging. Veterinary Sciences 9, 620.
Bradley, K., Bradley, A., and Barr, F. (2001). Ultrasonographic appearance of the superficial supramammary lymph nodes in lactating dairy cattle. Veterinary Record 148, 497-501.
Brandt, M., Haeussermann, A., and Hartung, E. (2010). Invited review: Technical solutions for analysis of milk constituents and abnormal milk. Journal of dairy science 93, 427-436.
Celik, H. A., Aydin, I., Colak, M., Sendag, S., and Dinc, D. A. (2008). Ultrasonographic evaluation of age related influence on the teat canal and the effect of this influence on milk yield in Brown Swiss cows. Bulletin of the Veterinary Institute in Pulawy 52, 245-249.
Chandan, R. C. (2015). Role of milk and dairy foods in nutrition and health. Dairy processing and quality assurance, 428-466.
Chandio, A. A., Rehman, A., Jiang, Y., and Noonari, S. (2017). Importance of the dairy industry and economic growth in Pakistan: an empirical study. Journal of Applied Environmental and Biological Sciences 7, 31-20.
Chang, M.-Y., and Chen, H.-S. (2022). Consumer attitudes and purchase intentions in relation to animal welfare-friendly products: evidence from Taiwan. Nutrients 14, 4571.
Chiriacò, M. V., and Valentini, R. (2021). A land-based approach for climate change mitigation in the livestock sector. Journal of Cleaner Production 283, 124622.
Chowdhury, D., Talukder, A. K., Rahman, A. N. M. A., Haider, M. G., Khalil, K. K. I., Hoque, M. N., and Das, Z. C. ULTRASONOGRAPHIC DIAGNOSIS OF EARLY PREGNANCY IN BLACK BENGAL GOAT.
Comerford, K. B., Miller, G. D., Boileau, A. C., Masiello Schuette, S. N., Giddens, J. C., and Brown, K. A. (2021). Global review of dairy recommendations in food-based dietary guidelines. Frontiers in nutrition 8, 671999.
Cradock-Henry, N. (2021). Linking the social, economic, and agroecological: a resilience framework for dairy farming. Ecology and Society 26.
Creedon, J. M. B., and Davis, H. (2023). "Advanced monitoring and procedures for small animal emergency and critical care," John Wiley & Sons.
Crilly, J., Politis, A., and Hamer, K. (2017). Use of ultrasonographic examination in sheep veterinary practice. Small Ruminant Research 152, 166-173.
Devaux, A., Torero, M., Donovan, J., and Horton, D. (2018). Agricultural innovation and inclusive value-chain development: a review. Journal of Agribusiness in Developing and Emerging Economies 8, 99-123.
Díaz, J., Alejandro, M., Peris, C., and Fernández, N. (2013). Use of ultrasound scanning to estimate teat wall thickness in Murciano-Granadina goats. Livestock Science 155, 114-122.
Dos Santos, S. K., Oliveira, M. G., Noriler, E. P., Vrisman, D. P., Borges, L. P. B., Santos, V. J. C., Coutinho, L. N., and Teixeira, P. P. M. (2016). Mammary gland ultrasound evaluation of Jersey cattle breed. Acta Scientiae Veterinariae 44, 5-5.
Džermeikaitė, K., Bačėninaitė, D., and Antanaitis, R. (2023). Innovations in Cattle Farming: Application of Innovative Technologies and Sensors in the Diagnosis of Diseases. Animals 13, 780.
Esselburn, K. M. (2012). Ultrasonographic monitoring of mammary parenchyma growth in preweaned Holstein heifers, The Ohio State University.
Fasulkov, I. (2012). ULTRASONOGRAPHY OF THE MAMMARY GLAND IN RUMINANTS: A REVIEW. Bulgarian Journal of Veterinary Medicine 15.
Floros, J. D., Newsome, R., Fisher, W., Barbosa‐Cánovas, G. V., Chen, H., Dunne, C. P., German, J. B., Hall, R. L., Heldman, D. R., and Karwe, M. V. (2010). Feeding the world today and tomorrow: the importance of food science and technology: an IFT scientific review. Comprehensive Reviews in Food Science and Food Safety 9, 572-599.
Franz, S., Baumgartner, W., Hofmann‐Parisot, M., Windischbauer, G., Suchy, A., and Bauder, B. (2001). Ultrasonography of the teat canal in cows and sheep. Veterinary Record 149, 109-112.
Franz, S., Floek, M., and Hofmann-Parisot, M. (2009). Ultrasonography of the bovine udder and teat. Veterinary Clinics: Food Animal Practice 25, 669-685.
Franz, S., Hofmann-Parisot, M., Gütler, S., and Baumgartner, W. (2003). Clinical and ultrasonographic findings in the mammary gland of sheep. New Zealand veterinary journal 51, 238-243.
Friedlander, G. D. (1967). World War II: Electronics and the US Navy Radar, sonar, loran, and infrared techniques. IEEE Spectrum 4, 56-70.
Gahungu, N., Trueick, R., Bhat, S., Sengupta, P. P., and Dwivedi, G. (2020). Current challenges and recent updates in artificial intelligence and echocardiography. Current Cardiovascular Imaging Reports 13, 1-12.
Gallaud, D., and Laperche, B. (2016). "Circular economy, industrial ecology and short supply chain," John Wiley & Sons.
GH, R., MM, S., and MM, Q. (2016). Ultrasonography of the mammary gland in ruminants. Journal of Veterinary Medical Research 23, 125-132.
Giesecke, W., den Heever, V., and Wepener, L. (1974). The diagnosis of bovine mastitis with particular reference to subclinical mastitis: a critical review of relevant literature.
Gillespie, S., and van den Bold, M. (2017). Agriculture, food systems, and nutrition: meeting the challenge. Global Challenges 1, 1600002.
Ginther, O. (2014). How ultrasound technologies have expanded and revolutionized research in reproduction in large animals. Theriogenology 81, 112-125.
Goddard, P. J. (2000). "Veterinary ultrasonography," Acribia, SA.
Gorsi, U., Bhatia, A., Sodhi, K. S., and Saxena, A. K. (2019). Ultrasound Instrumentation: Practical Applications. Diagnostic Radiology: Advances in Imaging Technology, 1.
Gözütok, Ö. (2017). Dişi köpeklerde diöstrus, proöstrus ve anöstrus dönemlerine ait vajinoskopi görüntülerinden bilgisayarla görme teknikleriyle seksüel siklusun belirlenmesi.
Graff, K. F. (2012). A history of ultrasonics. Physical Acoustics V15.
Gupta, D. K., Habbu, A. S., and Singh, S. Ultrasonographic Examination of Teats and Supramammary Lymph Nodes Vis-a-Vis Subclinical Bovine Mastitis. Available at SSRN 4493599.
Hagen, R., Kümmerle, J. M., and Kummer, M. R. (2011). Ultrasonography of the long and short parts of the equine tarsocrural collateral ligament.
Harjanti, D. W., and Sambodho, P. (2020). Effects of mastitis on milk production and composition in dairy cows. In "IOP Conference Series: Earth and Environmental Science", Vol. 518, pp. 012032. IOP Publishing.
Hartwich, F., and Negro, C. (2010). The role of collaborative partnerships in industry innovation: lessons from New Zealand's dairy sector. Agribusiness 26, 425-449.
Hennessey, E., DiFazio, M., Hennessey, R., and Cassel, N. (2022). Artificial intelligence in veterinary diagnostic imaging: A literature review. Veterinary Radiology & Ultrasound 63, 851-870.
Herrero, M., Grace, D., Njuki, J., Johnson, N., Enahoro, D., Silvestri, S., and Rufino, M. C. (2013). The roles of livestock in developing countries. Animal 7, 3-18.
Hildebrandt, T. B., and Saragusty, J. (2015). Use of ultrasonography in wildlife species. Fowler’s Zoo and Wild Animal Medicine; Elsevier BV: Amsterdam, The Netherlands 8, 714-723.
Hoang, V., Nguyen, A., Hubbard, C., and Nguyen, K.-D. (2021). Exploring the governance and fairness in the milk value chain: a case study in Vietnam. Agriculture 11, 884.
Hogeveen, H., Huijps, K., and Lam, T. (2011). Economic aspects of mastitis: new developments. New Zealand veterinary journal 59, 16-23.
Houghton, P., and Turlington, L. (1992). Application of ultrasound for feeding and finishing animals: A review. Journal of Animal Science 70, 930-941.
Hussein, H. A., EL-Khabaz, K. A., and Malek, S. S. (2015). Is udder ultrasonography a diagnostic tool for subclinical mastitis in sheep? Small Ruminant Research 129, 121-128.
Ibrahim, N. (2017). Review on mastitis and its economic effect. Canadian Journal of Research 6, 13-22.
Inn, I. Aninnal Health and Production.
Ivanov, Y., and Tikhomirov, I. (2020). Promising directions of technological development and the use of digital technologies in dairy farming. In "BIO Web of Conferences", Vol. 27, pp. 00147. EDP Sciences.
Jagannathan, J., Sanghvi, N. T., Crum, L. A., Yen, C.-P., Medel, R., Dumont, A. S., Sheehan, J. P., Steiner, L., Jolesz, F., and Kassell, N. F. (2009). High-intensity focused ultrasound surgery of the brain: part 1—a historical perspective with modern applications. Neurosurgery 64, 201-211.
John, M. S., and Durham Jr, H. E. (2017). Echocardiography and Doppler Study. Cardiology for Veterinary Technicians and Nurses, 133-178.
Jones, A., and Beal, W. (2003). Reproductive applications of ultrasound in the cow. The Bovine Practitioner, 1-9.
Kähn, W., and Volkmann, D. (2004). "Veterinary reproductive ultrasonography," Schlütersche.
Kamaya, A., Machtaler, S., Sanjani, S. S., Nikoozadeh, A., Sommer, F. G., Khuri-Yakub, B. T. P., Willmann, J. K., and Desser, T. S. (2013). New technologies in clinical ultrasound. In "Seminars in roentgenology", Vol. 48, pp. 214-223. Elsevier.
Kibebew, K. (2017). Bovine mastitis: A review of causes and epidemiological point of view. Journal of Biology, Agriculture and Healthcare 7, 1-14.
King, A. (2006). Development, advances and applications of diagnostic ultrasound in animals. The Veterinary Journal 171, 408-420.
KOCHAR, A. (2011). 3G WIRELESS COMMUNICATIONS FOR MOBILE ROBOTIC TELE-ULTRASONOGRAPHY SYSTEMS, VINAYAKA MISSIONS UNIVERSITY.
Kofler, J. (2009). Ultrasonography as a diagnostic aid in bovine musculoskeletal disorders. Veterinary Clinics of North America: Food Animal Practice 25, 687-731.
Kour, S., Agrawal, R., Sharma, N., Tikoo, A., Pande, N., and Sawhney, A. (2022). Artificial Intelligence and its Application in Animal Disease Diagnosis. Journal of Animal Research 12, 1-10.
Kozina, A., and Semkiv, L. (2020). Sustainable development of dairy farming through the use of digital technologies. In "IOP Conference Series: Earth and Environmental Science", Vol. 613, pp. 012061. IOP Publishing.
Krivonos, E., and Kuhn, L. (2019). Trade and dietary diversity in Eastern Europe and Central Asia. Food Policy 88, 101767.
Kumar, A., Mishra, A. K., Saroj, S., and Joshi, P. (2019). Impact of traditional versus modern dairy value chains on food security: Evidence from India’s dairy sector. Food Policy 83, 260-270.
Langford, F., and Stott, A. (2012). Culled early or culled late: economic decisions and risks to welfare in dairy cows. Animal welfare 21, 41-55.
Lassau, N., Estienne, T., de Vomecourt, P., Azoulay, M., Cagnol, J., Garcia, G., Majer, M., Jehanno, E., Renard-Penna, R., and Balleyguier, C. (2019). Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI. Diagnostic and interventional imaging 100, 199-209.
Leighton, T. G. (2007). What is ultrasound? Progress in biophysics and molecular biology 93, 3-83.
Leong, T., Ashokkumar, M., and Kentish, S. (2011). The fundamentals of power ultrasound—a review. Acoustics Australia 39, 54-63.
Lescourret, F., and Coulon, J. B. (1994). Modeling the impact of mastitis on milk production by dairy cows. Journal of dairy science 77, 2289-2301.
Lisciandro, G. R. (2021). "Point-of-care ultrasound techniques for the small animal practitioner," John Wiley & Sons.
Mahalle, P. N., Shelar, P. A., Shinde, G. R., and Dey, N. (2021). Introduction to underwater wireless sensor networks. The Underwater World for Digital Data Transmission, 1-21.
Mainau, E., Temple, D., and Manteca, X. (2014). Welfare issues related to mastitis in dairy cows. Farm Anim. Welf. Educ. Cent 10.
Mali, A. (2015). Application of ultrasonography in field conditions for improving reproduction in bovines. Intas Polivet 16, 11-15.
Manual, F. (2019). Ministry of Agriculture Participatory Small-Scale Irrigation Development Program_II Collaboration with Sustainable Land Management and Environment and Climate Change Directorate.
Marabelli, R., and Caporale, V. (2003). The role of official veterinary services in dealing with new social challenges: animal health and protection, food safety, and the environment. Revue scientifique et technique-Office international des épizooties 22, 363-383.
Maréchal, L., and Loir, L. (2011). Mastitis impact on technological properties of milk and quality of milk products--a review. Dairy Science & Technology 91, 247-282.
Martin, L., Sauerwein, H., Büscher, W., and Müller, U. (2020). Automated gradual reduction of milk yield before dry-off: Effects on udder health, involution and inner teat morphology. Livestock Science 233, 103942.
Martin, L., Stöcker, C., Sauerwein, H., Büscher, W., and Müller, U. (2018). Evaluation of inner teat morphology by using high-resolution ultrasound: Changes due to milking and establishment of measurement traits of the distal teat canal. Journal of dairy science 101, 8417-8428.
Martin, L. M. (2020). Changes of inner teat morphology caused by the milking process and by incomplete milking during dry-off as assessed by innovative technologies, Universitäts-und Landesbibliothek Bonn.
Medan, M. S., and Abd El-Aty, A. (2010). Advances in ultrasonography and its applications in domestic ruminants and other farm animals reproduction. Journal of Advanced Research 1, 123-128.
Meinecke-Tillmann, S. (2017). Basics of ultrasonographic examination in sheep. Small Ruminant Research 152, 10-21.
Meomartino, L., Greco, A., Di Giancamillo, M., Brunetti, A., and Gnudi, G. (2021). Imaging techniques in Veterinary Medicine. Part I: Radiography and Ultrasonography. European Journal of Radiology Open 8, 100382.
Millier, M. J. (2013). Primary Cilia in the Bovine Mammary Gland: Characterising Ciliary Distribution and Morphology During Lactation and Involution, University of Otago.
Min, K.-D. (2023). Scoping Review of Machine Learning and Deep Learning Algorithm Applications in Veterinary Clinics: Situation Analysis and Suggestions for Further Studies. Journal of veterinary clinics 40, 243-259.
Mohapatra, A. S., Behera, R., and Sahu, U. N. (2012). Constraints faced by tribal entrepreneurs in dairy farming enterprise. International Journal of Physical and Social Sciences 2, 171-184.
Molik, E., JavadiEsfahani, R., Murawski, M., Schwarz, T., Jamieson, M., Ahmadi, B., and Bartlewski, P. M. ACCEPTED AUTHOR VERSION OF THE MANUSCRIPT: A preliminary study of the relationships between echotextural characteristics of the mammary gland and chemical composition of milk during early lactation in ewes.
Molik, E., JavadiEsfahani, R., Murawski, M., Schwarz, T., Jamieson, M., Ahmadi, B., and Bartlewski, P. M. A preliminary study of the relationships between echotextural characteristics of the mammary gland and chemical composition of milk during early lactation in ewes. Annals of Animal Science.
Muir, T. G., and Bradley, D. (2016). Underwater acoustics: A brief historical overview through world war II. Acoustics today 12, 40-48.
Mun, S. K., and Turner, J. W. (1999). Telemedicine: Emerging e-medicine. Annual Review of Biomedical Engineering 1, 589-610.
Murawski, M., Schwarz, T., Jamieson, M., Ahmadi, B., and Bartlewski, P. M. (2019). Echotextural characteristics of the mammary gland during early lactation in two breeds of sheep varying in milk yields. Animal Reproduction 16, 853-858.
Mwangi, V. W. (2021). Economic Analysis of Agro-food Value Chains and Effect on Household Food Security and Poverty Alleviation-the Case of Wheat, Dairy and Beef in North West Mt. Kenya, University of Nairobi.
Newman, P. G., and Rozycki, G. S. (1998). The history of ultrasound. Surgical clinics of north America 78, 179-195.
Nicolson, M., and Fleming, J. E. (2013). "Imaging and imagining the fetus: the development of obstetric ultrasound," JHU Press.
Nielsen, C. (2009). "Economic impact of mastitis in dairy cows."
Oltenacu, P. A., and Broom, D. M. (2010). The impact of genetic selection for increased milk yield on the welfare of dairy cows. Animal welfare 19, 39-49.
Onteru, S. K., Ampaire, A., and Rothschild, M. F. (2010). Biotechnology developments in the livestock sector in developing countries. Biotechnology and Genetic Engineering Reviews 27, 217-228.
Orasmaa, T. (2017). Fostering locality in global value chains: potential of small-scale milk processors to increase local milk sourcing, create employment and reduce milk powder imports in Burkina Faso, University of Copenhagen.
Organization, W. H. (2022). "A health perspective on the role of the environment in One Health." World Health Organization. Regional Office for Europe.
Ortega-Requena, S., and Rebouillat, S. (2015). Retracted Article: Bigger data open innovation: potential applications of value-added products from milk and sustainable valorization of by-products from the dairy industry. Green Chemistry 17, 5100-5113.
Panghal, A., Janghu, S., Virkar, K., Gat, Y., Kumar, V., and Chhikara, N. (2018). Potential non-dairy probiotic products–A healthy approach. Food bioscience 21, 80-89.
Paul, T. (2022). CLINICAL AND ULTRASONOGRAPHICAL EVALUATION OF MAMMARY GLAND DURING MASTITIS IN RUMINANTS, Chittagong Veterinary and Animal Sciences University Chittagong–4225, Bangladesh.
Pierson, R., Kastelic, J., and Ginther, O. (1988). Basic principles and techniques for transrectal ultrasonography in cattle and horses. Theriogenology 29, 3-20.
Poławska, E., Bagnicka, A. W., Niemczuk, K., and Lipińska, J. O. (2012). Relations between the oxidative status, mastitis, milk quality and disorders of reproductive functions in dairy cows—A review. Animal Science Papers and Reports 30, 297-307.
Ponco, K. Y. Y., Pajas, A. M. G. A., and Rayos, A. A. (2021). ULTRASONOGRAPHIC FEATURES OF THE UTERUS AND OVARIES IN HOLSTEIN-SAHIWAL CROSSBRED DAIRY HEIFERS AT DIFFERENT PHASES OF THE ESTROUS CYCLE. Philippine Journal of Veterinary Medicine 58.
Pourlis, A. (2020). Ovine mammary morphology and associations with milk production, milkability and animal selection. Small Ruminant Research 184, 106009.
Prasad, M., Ghosh, M., Patki, H. S., Kumar, S., Brar, B., Sindhu, N., Goel, P., Kaushik, S., Mohan, H., and Syed, S. (2021). Imaging Techniques in Veterinary Disease Diagnosis. In "Advances in Animal Disease Diagnosis", pp. 103-145. CRC Press.
Qureshi, M. E., Dixon, J., and Wood, M. (2015). Public policies for improving food and nutrition security at different scales. Food Security 7, 393-403.
Raholiarimanana, F., Rakotomanana, H., and Ishida, A. (2023). Does Raising Livestock Improve Household Food Security and Child Dietary Diversity in a Rural Region of Madagascar? Children 10, 765.
Rai, D. C., and Bhateshwar, V. (2023). Aiming to Improve Dairy Cattle Welfare by Using Precision Technology to Track Lameness, Mastitis, Somatic Cell Count and Body Condition Score. In "Animal Welfare-New Insights". IntechOpen.
Raja, S., and Sehgal, S. (2015). Role of Dairy Farming in Rural Development. In "Promoting Socio-Economic Development through Business Integration", pp. 149-163. IGI Global.
Rajamahendran, R., Ambrose, D. J., and Burton, B. (1994). Clinical and research applications of real-time ultrasonography in bovine reproduction: a review. The Canadian Veterinary Journal 35, 563.
Rantanen, N., and Ewing III, R. (1981). Principles of ultrasound application in animals. Veterinary Radiology 22, 196-203.
Recha, J. W., Kapukha, M., Wekesa, A., Shames, S., and Heiner, K. (2014). Sustainable agriculture land management practices for climate change mitigation: a training guide for smallholder farmers.
Risvanli, A., Dogan, H., Safak, T., Kilic, M. A., and Seker, I. (2019). The relationship between mastitis and the B-mode, colour Doppler ultrasonography measurements of supramammary lymph nodes in cows. Journal of dairy research 86, 315-318.
Rix, A., Lederle, W., Theek, B., Lammers, T., Moonen, C., Schmitz, G., and Kiessling, F. (2018). Advanced ultrasound technologies for diagnosis and therapy. Journal of nuclear medicine 59, 740-746.
Rushton, J., and Bruce, M. (2017). Using a One Health approach to assess the impact of parasitic disease in livestock: how does it add value? Parasitology 144, 15-25.
Samad, M. (2022). Review on mastitis in dairy lactating animals and their public health importance: the 56 years Bangladesh perspective. J. Vet. Med. OH Res 4, 33-114.
Sani, R. N., Yousefi, M. H., Javan, A. J., and Hivechi, A. (2017). Evaluation of Teat Ultrasound Measurements for Diagnosis of Subclinical Mastitis in Holstein Dairy Cow. Philippine Journal of Veterinary Medicine 54.
Schwarz, T., Scheeres, N., Małopolska, M. M., Murawski, M., Agustin, T. D., Ahmadi, B., Strzałkowska, N., Rajtar, P., Micek, P., and Bartlewski, P. M. (2020). Associations between mammary gland echotexture and milk composition in cows. Animals 10, 2005.
Sharun, K., Dhama, K., Tiwari, R., Gugjoo, M. B., Iqbal Yatoo, M., Patel, S. K., Pathak, M., Karthik, K., Khurana, S. K., and Singh, R. (2021). Advances in therapeutic and managemental approaches of bovine mastitis: a comprehensive review. Veterinary quarterly 41, 107-136.
Siems, E., Land, A., and Seuring, S. (2021). Dynamic capabilities in sustainable supply chain management: an inter-temporal comparison of the food and automotive industries. International Journal of Production Economics 236, 108128.
Singh, A. K., Bhakat, C., Ghosh, M. K., and Dutta, T. K. (2021). Technologies used at advanced dairy farms for optimizing the performance of dairy animals: A review. Spanish journal of agricultural research 19, 6.
Singh, P., and Kumari, B. (2017). Importance of livestock sector in doubling farmers Income by 2022. Indian journal of economics and development 13, 136-140.
Singh, R., Maiti, S., and Garai, S. (2023). Sustainable intensification–reaching towards climate resilience livestock production system. Annals of Animal Science.
Singh, S. R., and Datta, K. (2010). Understanding value addition in Indian dairy sector: Some perspectives. Agricultural Economics Research Review 23, 487-494.
Smith, R., Oultram, J., and Dobson, H. (2014). Herd monitoring to optimise fertility in the dairy cow: making the most of herd records, metabolic profiling and ultrasonography (research into practice). Animal 8, 185-198.
Smolenski, G. A. (2018). The bovine teat canal: Its role in pathogen recognition and defence of the mammary gland, The University of Waikato.
Steinfeld, H. (2006). "Livestock's long shadow: environmental issues and options," Food & Agriculture Org.
Steinfeld, H., and Mack, S. (1995). Livestock development strategies. World Animal Review 84, 18-24.
Streeter, R. N., and Step, D. (2007). Diagnostic ultrasonography in ruminants. Veterinary Clinics of North America: Food Animal Practice 23, 541-574.
Szabo, T. L. (2004). "Diagnostic ultrasound imaging: inside out," Academic press.
Szencziová, I., and Strapák, P. (2012). Ultrasonography of the udder and teat in cattle: perspective measuring technique. Slovak Journal of Animal Science 45, 96-104.
Talukder, B., Agnusdei, G. P., Hipel, K. W., and Dubé, L. (2021). Multi-indicator supply chain management framework for food convergent innovation in the dairy business. Sustainable Futures 3, 100045.
Teller, L. M., and Moberly, H. K. (2020). Veterinary Telemedicine: A literature review.
Themistokleous, K. S., Papadopoulos, I., Panousis, N., Zdragas, A., Arsenos, G., and Kiossis, E. (2023). Udder Ultrasonography of Dairy Cows: Investigating the Relationship between Echotexture, Blood Flow, Somatic Cell Count and Milk Yield during Dry Period and Lactation. Animals 13, 1779.
Themistokleous, K. S., Sakellariou, N., and Kiossis, E. (2022). A deep learning algorithm predicts milk yield and production stage of dairy cows utilizing ultrasound echotexture analysis of the mammary gland. Computers and Electronics in Agriculture 198, 106992.
Thornton, P. K. (2010). Livestock production: recent trends, future prospects. Philosophical Transactions of the Royal Society B: Biological Sciences 365, 2853-2867.
Tommasoni, C., Fiore, E., Lisuzzo, A., and Gianesella, M. (2023). Mastitis in Dairy Cattle: On-Farm Diagnostics and Future Perspectives. Animals 13, 2538.
Uchino, K. (1998). Piezoelectric ultrasonic motors: overview. Smart materials and structures 7, 273.
Upton, M. (2004). The role of livestock in economic development and poverty reduction.
van der Lee, J., Zijlstra, J., Wouters, A., and Van Vugt, S. (2014). Milking to potential: Strategic framework for dairy sector development in emerging economies.
Vázquez-López, A., Barrasa-Rioja, M., and Marey-Perez, M. (2021). ICT in rural areas from the perspective of dairy farming: A systematic review. Future Internet 13, 99.
Venkatesan, M., Selvaraj, P., Sumathi, D., and Arun, R. (2017). Teat ultrasonographic assessment of milk flow disorders in hand milked dairy cows. Indian J. Vet. Med. Vol 37, 17-23.
Ventura, B. A., von Keyserlingk, M. A., and Weary, D. M. (2015). Animal welfare concerns and values of stakeholders within the dairy industry. Journal of Agricultural and Environmental Ethics 28, 109-126.
Verburg, R. W., Verberne, E., and Negro, S. O. (2022). Accelerating the transition towards sustainable agriculture: The case of organic dairy farming in the Netherlands. Agricultural Systems 198, 103368.
Wankar, A. K., Rindhe, S. N., and Doijad, N. S. (2021). Heat stress in dairy animals and current milk production trends, economics, and future perspectives: the global scenario. Tropical animal health and production 53, 70.
Weary, D., and Von Keyserlingk, M. (2017). Public concerns about dairy-cow welfare: how should the industry respond? Animal Production Science 57, 1201-1209.
Weiss, D., Weinfurtner, M., and Bruckmaier, R. (2004). Teat anatomy and its relationship with quarter and udder milk flow characteristics in dairy cows. Journal of dairy science 87, 3280-3289.
Wells, P. N. (2006). Ultrasound imaging. Physics in medicine & biology 51, R83.
Wells, S., Ott, S., and Seitzinger, A. H. (1998). Key health issues for dairy cattle—new and old. Journal of dairy science 81, 3029-3035.
Wichtel, J., Zur Linden, A., Khosa, D., Singh, A., Sears, W., and Phillips, J. (2022). Validation of a novel ultrasound simulation model for teaching foundation-level ultrasonography skills to veterinary students. Journal of Veterinary Medical Education 49, 473-483.
Wilson, D. E. (1992). Application of ultrasound for genetic improvement. Journal of Animal Science 70, 973-983.
Wolf, C., Tonsor, G., McKendree, M., Thomson, D., and Swanson, J. (2016). Public and farmer perceptions of dairy cattle welfare in the United States. Journal of dairy science 99, 5892-5903.
Wood, A. K., Lublin, J. R., Hoffmann, K. L., and Dadd, M. J. (2000). ALTERNATIVES FOR IMPROVING VETERINARY MEDICAL STUDENTS'LEARNING OF CLINICAL SONOGRAPHY. Veterinary Radiology & Ultrasound 41, 433-436.
Yilma, Z., Guernebleich, E., Sebsibe, A., and Fombad, R. (2011). A review of the Ethiopian dairy sector. Ed. Rudolf Fombad, Food and Agriculture Organization of the United Nations, Sub Regional Office for Eastern Africa (FAO/SFE), Addis Ababa, Ethiopia 81.
Yitbarek, D., and Dagnaw, G. G. (2022). Application of advanced imaging modalities in veterinary medicine: a review. Veterinary Medicine: Research and Reports, 117-130.
Younas, M. (2013). The Dairy Value Chain.
Zhang, X., Ahmad, M. J., An, Z., Niu, K., Wang, W., Nie, P., Gao, S., and Yang, L. (2022). Relationship between somatic cell counts and mammary gland parenchyma ultrasonography in buffaloes. Frontiers in veterinary science 9, 842105.
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