FeedMaster: A least-cost feed formulation App for minimizing the cost and maximizing milk yield

Authors

  • Md Ahsanul Kabir Biotechnology Division, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh; College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China 3 Director Research, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh. https://orcid.org/0000-0003-3171-8659
  • Nasrin Sultana Director Research, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh. https://orcid.org/0000-0001-8625-8720
  • Abdullah Al Noman Biotechnology Division, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh; Department of Genetic Engineering Biotechnology, Faculty of Biological Science and Technology, Jashore University of Science and Technology, Jashore, Bangladesh. https://orcid.org/0000-0003-0615-744X
  • S M Jahangir Hossain Biotechnology Division, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh. https://orcid.org/0000-0002-3252-5405
  • Md Faizul Hossain Miraz Training, Planning, and Technology testing Division, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh. https://orcid.org/0000-0002-4464-1163
  • Gautam Kumar Deb Biotechnology Division, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh. https://orcid.org/0000-0001-9170-991X

Keywords:

Feeding-assist tool; least-cost ration formulation; mobile app; milk yield; cattle management.

Abstract

Objective: The study aimed to develop and assess an Android app designed for farmers with a low educational status that can formulate a least-cost ration. Materials and Methods: First, a computer-android-based app named BLRI FeedMaster was developed to guide users in formulating a balanced ration at the least cost. A survey was conducted on 30 livestock officers and 18 farmers with 50 cattle to evaluate its efficacy at the field level. The study outcomes were milk yield, feeding cost, milk composition, time, and cost for management before and after using the BLRI FeedMaster app. Descriptive statistics and paired sample t-tests were used to analyze the data. Results: After adopting the BLRI FeedMaster app, a significant increase was observed in daily average milk yield (9.39 ± 0.32 l from 8.37 ± 0.36 l), while a considerable decrease was observed in daily average feed quantity (4.88 ± 0.15 kg from 5.60 ± 0.17 kg) and feed cost (BDT 28.00 ± 0.50 from BDT 29.75 ± 0.49). Besides, the number of visits, time, and cost for seeking professional services regarding feed, health care, and other information was significantly minimized. The number of visits decreased to 0.36 ± 013 from 3.07 ± 0.38, and the consumed time was reduced from 270 ± 34.30 to 235.71 ± 59.42 min (p < 0.05) after adopting the app. Conclusion: Hence, this app was very beneficial for farmers with a low economic and educational background and may ultimately help farmers with profitable animal farming and sustainable production in the least developed countries like Bangladesh.

J. Adv. Vet. Anim. Res., 9(3): 374–382, September 2022

http://doi.org/10.5455/javar.2022.i605

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Published

2022-09-29

How to Cite

Kabir, M. A., Sultana, N., Noman, A. A., Hossain, S. M. J., Miraz, M. F. H., & Deb, G. K. (2022). FeedMaster: A least-cost feed formulation App for minimizing the cost and maximizing milk yield. Journal of Advanced Veterinary and Animal Research, 9(3), 374–382. Retrieved from https://banglajol.info/index.php/JAVAR/article/view/80191

Issue

Vol. 9 No. 3 (2022)

Section

Original Articles

License

Copyright (c) 2022 Md Ahsanul Kabir, Nasrin Sultana, Abdullah Al Noman, S M Jahangir Hossain, Md Faizul Hossain Miraz, Gautam Kumar Deb

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