• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. International Journal of Dairy Science
  2. Vol 17 (1), 2022
  3. 13-23
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

International Journal of Dairy Science

Year: 2022 | Volume: 17 | Issue: 1 | Page No.: 13-23
DOI: 10.3923/ijds.2022.13.23

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 130

Authors


Limai  Lan

Limai Lan

LiveDNA: 675.35975

Simon  Kenas

Simon Kenas

LiveDNA: 675.37690

Keywords


  • BCS
  • evaluation
  • genetic improvement
  • herd structure
  • husbandry practices
  • quality pasture
  • reproductive performance
Research Article

Effects of Low Pasture Quality on Body Condition Score and Reproductive Performance of Beef Cattle

Limai Lan Limai  Lan's LiveDNA and Simon Kenas Simon  Kenas's LiveDNA
Background and Objective: The BCS is one of the main factors affecting the reproduction of cows influencing postpartum interval (PPI), conception rate (CR) and calving interval (CI) in the beef cow. The purpose of this study was to conduct a performance evaluation on body condition score (BCS) of beef cattle raised under natural pasture conditions. The evaluation was objectively to observe the reproductive performance of cows influenced by low BCS. Materials and Methods: Body condition score (BCS) of 113 beef cattle in a herd structure of (n = 12 heifer calves, n = 7 bull calves, n = 8 weaner heifers, n = 13 weaner bulls, n = 4 steers, n = 5 heifers 5, n = 63 cows and n = 1 bull for natural service) were assessed using 9-point BCS scale. The BSC assessment was conducted during the 5 months from May to September, 2020. Only three observations were done on BCS of the individual animal (tagged) respective to the normal PNGUNRE beef cattle farm husbandry practices. Weaning rate, conception rate and calf survival rate were calculated to evaluate the assessed BCS of the cattle herd. Results: Breeding cows are affected by a low BCS of 4 with obvious indications of very poor reproductive efficiency indicated by increased postpartum interval (PPI) and calving days. Low quality pasture has affected reproduction efficiency in the current herd structure. Conclusion: Moderate BCS of 4 has affected the reproductive performance of beef cattle production at PNGUNRE. Genetic improvement using either selection tool within the breed or introducing crossbreeding programs to diversify breeds, AI programs, pasture improvement, supplementary feeding, feedlot system and correcting the bull to cow ratio of 1:63 for the current herd are immediate considerations to improve performance in beef cattle production.
PDF Fulltext XML References Citation

How to cite this article

Limai Lan and Simon Kenas, 2022. Effects of Low Pasture Quality on Body Condition Score and Reproductive Performance of Beef Cattle. International Journal of Dairy Science, 17: 13-23.

DOI: 10.3923/ijds.2022.13.23

URL: https://scialert.net/abstract/?doi=ijds.2022.13.23

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved