INTEGRATED DAIRY MANAGEMENT PRACTICES ADOPTION AND IMPROVEMENT IN MILK YIELD: NEGATIVE BINOMIAL REGRESSION MODEL FOR RURAL INDIA

N. MALLIKARJUNA SWAMY1, B. GURURAJ2*, RAMESH3
1Department of Agricultural Economics, University of Agriculture Science, GKVK, Bengaluru, 560065, India
2Cost of Cultivation Scheme, University of Agriculture Science, GKVK, Bengaluru 560065, India
3Cost of Cultivation Scheme, University of Agriculture Science, GKVK, Bengaluru 560065, India
* Corresponding Author : vurguru026@gmail.com

Received : 30-12-2019     Accepted : 13-01-2020     Published : 15-01-2020
Volume : 12     Issue : 1       Pages : 9387 - 9391
Int J Agr Sci 12.1 (2020):9387-9391

Keywords : Dairy, IDMPs, Extension service and fodder crop
Academic Editor : Rajpal Diwakar, Dr Abhijit K Barate, Srinivas Sathapathy, Pushpendra Singh
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agricultural Economics, University of Agriculture Science, GKVK, Bengaluru, 560065, India
Author Contribution : All authors equally contributed

Cite - MLA : MALLIKARJUNA SWAMY, N., et al "INTEGRATED DAIRY MANAGEMENT PRACTICES ADOPTION AND IMPROVEMENT IN MILK YIELD: NEGATIVE BINOMIAL REGRESSION MODEL FOR RURAL INDIA." International Journal of Agriculture Sciences 12.1 (2020):9387-9391.

Cite - APA : MALLIKARJUNA SWAMY, N., GURURAJ, B., RAMESH (2020). INTEGRATED DAIRY MANAGEMENT PRACTICES ADOPTION AND IMPROVEMENT IN MILK YIELD: NEGATIVE BINOMIAL REGRESSION MODEL FOR RURAL INDIA. International Journal of Agriculture Sciences, 12 (1), 9387-9391.

Cite - Chicago : MALLIKARJUNA SWAMY, N., B. GURURAJ, and RAMESH "INTEGRATED DAIRY MANAGEMENT PRACTICES ADOPTION AND IMPROVEMENT IN MILK YIELD: NEGATIVE BINOMIAL REGRESSION MODEL FOR RURAL INDIA." International Journal of Agriculture Sciences 12, no. 1 (2020):9387-9391.

Copyright : © 2020, N. MALLIKARJUNA SWAMY, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

The adoption of integrated technologies in dairy farming greatly recognised in achieving higher milk productivity thereby income. However, adoption rate of suite technologies in developing country is very low despite the substantial efforts by concerned stakeholders and various government programmes. The study aims at assess the determinants of integrated dairy management practices (IDMPs) the extension related parameters (contact of extension personnel and dairy training programme) and area under fodder crop are positively significant in influencing the adoption intensity of IDMPs at 5% of significant. The farmers who adopted seven IDMPs realized highest milk productivity (4.85 Kgs/animal) as against 3.29 Kgs/animal who adopted 3 IDMPs. The tetra choric correlation coefficients among IDMPs silage making is positively correlated with balanced ration but negatively with mineral mixture. The extension service could be reached effectively by deploying the ICTs tools with more tailored and timely information to dairy farmers as a whole. There is a definite need to increase forage production per unit area through encouraging high yielding fodder crops and forages, in an integrated crop- livestock farming systems. Creating awareness among farmers use of non-conventional feed resources that can improve intake and digestibility of low-quality forages and support them in gaining the first-hand knowledge of these feedstuffs from various livestock extension agencies, thus providing nutritional security to animals.

References

1. Balaraman, (2005) The Hindu survey of Indian Agriculture, 139-142.
2. Matthews Charles A., Shaw John M. and Weaver Earl (2017) Bulletin, Article 1, 21,125-129.
3. Mendola Mariapia (2007) Food Policy, 32 (3),372-393.
4. Karanjaa, et al. (2003) Agri. Eco, 29,331-341.
5. Mariano J. M., Villano R. & Fleming E. (2012) Agri. Sys., 110,41-53.
6. Leathers H.D. and Smale M. (1991) Ame. J. Agri. Econ, 73, 734-742.
7. Weber J.G. (2012) Agri. Econ, 43,1-12.
8. Akwasi Mensah-Bonsu, Daniel Bruce Sarpong, Ramatu Al-Hassan, Samuel Asuming-Brempong, Irene S. Egyir, John K. M. Kuwornu, Yaw B. Osei-Asare (2017) Afr J. Agri. and Res. Econ, 12(2), 142-157.
9. FAO (2012) Animal production and health, balanced feeding for improving livestock productivity, FAO, Rome, Italy.
10. IGFRI (1970) Annual Report. Indian Grassland and Fodder Research Institute. Jhansi.
11. Durrant B.S. (2009) Theriogenology, 71(1),113-122.
12. Nishant et al. (2018) J. Ent. and zoology, 25,125-131.
13. http,//www. fao .org
14. Chauhan D.S. and Ghosh N. (2014) J.Anim. Res., 4 (4), 223-239
15. Singh B. and Prasad S. (2008) Ind. Vet. J., 85(11), 1207-1210.
16. Bilal et al. (2009) J. Ani. & Plant Sci, 19(2), 125-136.
17. Greene W.H. (2004) Fifth edition econometric analysis. New York University, Prentice hall.
18. Greene W.H. (2008) Economics Letters, 99, 585-590.
19. Isgin et al. (2008) Com. and Elec. Agri., 62, 231-42.
20. Meena M.S and Singh K.M. (2014) FMPRA Paper No. 56367, posted 6. June 2014 09,08.
21. Sikhulumile et al. (2014) Food Sci, 6,483-499.
22. Sodhi S.S., Kashyap N., Singh J., Chawla P.S., Kansal S.K., Verma H.K. (2017) Journal of Animal Research, 7 (6), 1093-1097
23. Kaur S., Verma H.K., Singh J., Dash S.K., Kansal S.K. (2017) Journal of Animal Research, 7 (6), 1051-1059
24. Warthi M. and Bhanotra A. (2017) J. Ani. Res, 7(6), 1089-1092.