Factors Affecting Quality Milk Productivity in Dairy Farming
DOI:
https://doi.org/10.56294/sctconf2023579Keywords:
Quality Milk Productivity, Cattle Feed, Cattle Health, Climatic ConditionAbstract
This study examines the current state of dairy farming in India. It investigates the impact of four factors (cattle feed, cattle health, climatic conditions, and milk handling) on milk productivity from the perspective of dairy farmers. A cross-sectional study using inferential statistics was conducted with dairy farmers, using a questionnaire to gather information on milk productivity. The study employed SmartPLS to analyze the measurement and structural models to support the positive hypothesis. The study employed a combinative PLS method, which aligns with the characteristics of a structural equation model. A focused group analysis was also performed to gather respondents' opinions and provide recommendations. The findings indicate a positive relationship between the four independent variables and milk productivity quality. Furthermore, adopting an organic and natural approach to cattle feed can reduce feed costs. Access to government veterinary hospitals, along with continuous medical support and potential private veterinary hospitals, as well as the use of proper concrete, sheds with effective heat management and measures to address rainy season challenges, and maintaining hygiene during milk transportation, will be beneficial for dairy farmers and lead to increased milk productivity.
References
1. Ahmed, I., Kumar, S., & Aggarwal, D. (2020). Assessment of knowledge and practices of hygienic milk production among dairy farmworkers, Southwest Delhi. Indian Journal of Community Medicine, 45(1), 26–30. https://doi.org/10.4103/ijcm.IJCM_366_19
2. Amenu, K., Agga, G. E., Kumbe, A., Shibiru, A., Dego, K. O., Wieland, B., Grace, D., Alonso, S., Desta, H., & Tik, W. (2020). Community-tailored training to improve the knowledge, attitudes, and practices of women regarding hygienic milk production and handling in Borana pastoral area of southern Ethiopia. Journal of Dairy Science, 103(11), 9748–9757.
3. Astrup, A., Raben, A., & Geiker, N. (2015). The role of higher protein diets in weight control and obesity-related comorbidities. International Journal of Obesity, 39(5), 721–736. https://doi.org/10.1038/ijo.2014.216
4. Auldist, M. J., Marett, L. C., Greenwood, J. S., Wright, M. M., Hannah, M., Jacobs, J. L., & Wales, W. J. (2016). Milk production responses to different strategies for feeding supplements to grazing dairy cows. Journal of Dairy Science, 99(1), 657–671. https://doi.org/10.3168/jds.2015-9834
5. Bernet, T., Staal, S., & Walker, T. (2001). Changing Milk Production Trends in Peru. Mountain Research and Development, 34(1), 268–275. https://doi.org/10.1659/0276-4741(2001)021[0268:cmptip]2.0.co;2
6. Boor, K. J., Wiedmann, M., Murphy, S., & Alcaine, S. (2017). A 100-Year Review: Microbiology and safety of milk handling. Journal of Dairy Science, 100(12), 9933–9951. https://doi.org/10.3168/jds.2017-12969
7. Butler, G., Nielsen, J. H., Larsen, M. K., Rehberger, B., Stergiadis, S., Canever, A., & Leifert, C. (2011). The effects of dairy management and processing on quality characteristics of milk and dairy products. NJAS - Wageningen Journal of Life Sciences, 4(9), 782–786. https://doi.org/10.1016/j.njas.2011.04.002
8. Cardoso, C. S., Hötzel, M. J., Weary, D. M., Robbins, J. A., & von Keyserlingk, M. A. G. (2016). Imagining the ideal dairy farm. Journal of Dairy Science, 99(2), 1663–1671. https://doi.org/10.3168/jds.2015-9925
9. Connor, E. E. (2015). Invited review: Improving feed efficiency in dairy production: Challenges and possibilities. Animal, 9(3), 395–408. https://doi.org/10.1017/S1751731114002997
10. Connor, E. E., Hutchison, J. L., Olson, K. M., & Norman, H. D. (2012). Triennial lactation symposium: Opportunities for improving milk production efficiency in dairy cattle. Journal of Animal Science, 90(1), 1687–1694. https://doi.org/10.2527/jas.2011-4528
11. Dijkstra, T. K., & Henseler, J. (2015). Kleve: Composite Modeling. ADANCO 1.1. http://www.compositemodeling.com.
12. Douphrate, D. I., Hagevoort, G. R., Nonnenmann, M. W., Lunner Kolstrup, C., Reynolds, S. J., Jakob, M., & Kinsel, M. (2013). The Dairy Industry: A Brief Description of Production Practices, Trends, and Farm Characteristics Around the World. Journal of Agromedicine, 18(1), 187–197. https://doi.org/10.1080/1059924X.2013.796901
13. Egger-Danner, C., Köck, A., Fuchs, K., Grassauer, B., Fuerst-Waltl, B., & Obritzhauser, W. (2020). Use of benchmarking to monitor and analyze effects of herd size and herd milk yield on cattle health and welfare in Austrian dairy farms. Journal of Dairy Science. https://doi.org/10.3168/jds.2019-16745
14. Erickson, P. S., & Kalscheur, K. F. (2020). Nutrition and feeding of dairy cattle. In Animal Agriculture (pp. 157–180). https://doi.org/10.1016/b978-0-12-817052-6.00009-4
15. FAO. (2020). Global Dairy Industry Factsheet 2020: World’s Top 10 Largest Milk Producing Countries, Top Milk Exporters and Milk Importers. Institution of Environment of Acre, BizVibe. https://www.bizvibe.com/blog/food-beverages/top-10-largest-milk-producing-countries/
16. Feroze, S. M., Singh, R., & Sirohi, S. (2016). Profitability and disposal pattern of milk in underdeveloped hill production system of Meghalaya. Indian Journal of Animal Sciences, 86(10), 1198–1203.
17. Feroze, S. M., Singh, R., & Sirohi, S. (2019). Economics of milk production and factors affecting milk yield in Meghalaya: Estimating the seasonal effect. Indian Journal of Dairy Science, 72(3), 328–335. https://doi.org/10.33785/ijds.2019.v72i03.014
18. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
19. Garcia, S. N., Osburn, B. I., & Cullor, J. S. (2019). A one health perspective on dairy production and dairy food safety. One Health, 7(1), 100086. https://doi.org/10.1016/j.onehlt.2019.100086
20. GoTN. (2020). Dairy Development Policy Note 2019-2020. https://cms.tn.gov.in/sites/default/files/documents/dairy_e_2019_20_pn.pdf
21. Hair, Hult, G. T. M., Ringle, C. M., & Sarstedt, M. A. (2017). Primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publication.
22. Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(1), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
23. Harrison, M. T., Cullen, B. R., & Armstrong, D. (2017). Management options for dairy farms under climate change: Effects of intensification, adaptation and simplification on pastures, milk production and profitability. Agricultural Systems, 155(1), 19–32. https://doi.org/10.1016/j.agsy.2017.04.003
24. Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management and Data Systems, 116(1), 2-20. https://doi.org/10.1108/IMDS-09-2015-0382
25. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
26. Hogenboom, J. A., Pellegrino, L., Sandrucci, A., Rosi, V., & D’Incecco, P. (2019). Invited review: Hygienic quality, composition, and technological performance of raw milk obtained by robotic milking of cows. Journal of Dairy Science, 102(9), 7640–7654. https://doi.org/10.3168/jds.2018-16013
27. IBEF. (2020). Indian Agriculture and Allied Industries Industry Report. Agriculture in India: Information About Indian Agriculture & Its Importance. https://www.ibef.org/industry/agriculture-india.aspx
28. ITC. (2020). Top Milk Importing & Exporting Countries. International Trade Center, BizVibe. https://www.trademap.org/Index.aspx?AspxAutoDetectCookieSupport=1
29. Jain, P., Satapathy, T., & Pandey, R. K. (2020). Rhipicephalus microplus: A parasite threatening cattle health and consequences of herbal acaricides for upliftment of livelihood of cattle rearing communities in Chhattisgarh. Biocatalysis and Agricultural Biotechnology, 26(1), 101611. https://doi.org/10.1016/j.bcab.2020.101611
30. Janssen, E., & Swinnen, J. (2019). Technology adoption and value chains in developing countries: Evidence from dairy in India. Food Policy, 83(1), 327–336. https://doi.org/10.1016/j.foodpol.2017.08.005
31. Joshi, P. K. (2015). Has Indian agriculture become crowded and risky? Status, implications and the way forward. Indian Journal of Agricultural Economics, 70(1), 1–41.
32. Kant, K., Sankhala, G., Prasad, K., & Kadian, K. S. (2017). Adaptation practices followed by dairy farmers under adverse climatic conditions in western dry region of India. Indian Journal of Animal Sciences, 87(2), 215–222.
33. Keshavarzi, H., Sadeghi-Sefidmazgi, A., Ghorbani, G., Kowsar, R., Razmkabir, M., & Amer, P. (2020). Effect of abortion on milk production, health, and reproductive performance of Holstein dairy cattle. Animal Reproduction Science, 217(1), 106458.
34. Kunte, B. S., & Patankar, S. (2015). A Literature Review of Indian Dairy Industry. International Journal of Management Research & Review, 5(6), 341–350.
35. Lambertz, C., Sanker, C., & Gauly, M. (2014). Climatic effects on milk production traits and somatic cell score in lactating Holstein-Friesian cows in different housing systems. Journal of Dairy Science, 97(1), 319–329. https://doi.org/10.3168/jds.2013-7217
36. Landes, M., Cessna, J., Kuberka, L., & Jones, K. (2017). India’s dairy sector: structure, performance, and prospects. A Report from the Economic Research Service. www.ers.usda.gov
37. Malaver, Y. Y. V., Claudio, B. A. M., & Ruiz, J. A. Z. (2024). Quality of service and user satisfaction of a police station in a district of northern Lima. Southern Perspective / Perspectiva Austral, 2, 20–20. https://doi.org/10.56294/pa202420
38. Marcelo, K. V. G., Claudio, B. A. M., & Ruiz, J. A. Z. (2023). Impact of Work Motivation on service advisors of a public institution in North Lima. Southern Perspective / Perspectiva Austral, 1, 11–11. https://doi.org/10.56294/pa202311
39. Marcondes, M. I., Jácome, D. C., da Silva, A. L., Rennó, L. N., & Pires, A. C. dos S. (2014). Evaluation of raw milk quality in different production systems and periods of the year. Revista Brasileira de Zootecnia, 43(12), 670–676. https://doi.org/10.1590/S1516-35982014001200007
40. Martin, L. van der L. (2015). Beyond traditional dairy veterinary services: “It’s not just about the cows!” Journal of the South African Veterinary Association, 86(1), 1221. https://doi.org/10.4102/jsava.v86i1.1221
41. Martínez, M. C. H., & Medina, M. A. G. (2024). Impact of Toxic Substance Use on Quality of Life in Adolescents. Health Leadership and Quality of Life, 3, 42–42. https://doi.org/10.56294/hl202442
42. Martono, S., Negara, W., Gopar, R. A., & Rofiq, M. N. (2016). Combination Effect of Feed Supplements on Milk Yield and Milk Quality of Dairy Cattle. Journal of Advanced Agricultural Technologies, 3(2), 136–139. https://doi.org/10.18178/joaat.3.2.136-139
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Jayendira P Sankar (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.