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© 2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the"License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Objective: Fertilization rate of artificially inseminated cows using sexed and conventional semen in different seasons in South Papua. Materials and Methods: Eighty crossbred cows aged 4-4.5 years with body condition score 3.8 were divided into groups A (summer = 40 cows) and B (rainy season = 40 cows). Each cow in each season was artificial insemination (Al) using sexed frozen semen and conventional semen. Frozen semen was evaluated for post-thawing motility (PTM), cell membrane integrity, and acrosome damage before synchronization using 5 ml PGF2a plus vitamin E. Using a visual gun, we identified cows in estrus on days 4-7 post-synchronization. Pregnancy of cows was detected using N5Vet ultrasound on days 35 and 55. The interaction between season, semen type, and fertilization level was analyzed using Standard error and two-way ANOVA, assisted by SPSS 21 software. Results: The wet season Temperature-Humidity Index (THI) level averaged 77.12 1.19, and the summer season THI level averaged 82.67 1.25. PTM quality averaged 60%-65%, viability 61%-71%, sperm membrane integrity 62%-65%, and acrosome integrity 88%-91%. Conception rates (CR) value of rainy season (p <0.05) with summer season. In addition, the services per conception (S/C) value in the rainy season (p >0.05) is the same as in the summer. This study's S/C and CR values were within normal limits, and the pregnancy rate reached 65%-86%. Pregnancy detection can be observed on day 35, and the fetal heartbeat is visible. Conclusion: Post-AI fertilization using conventional semen was better in all seasons. The doubl dose of sexed semen can increase the fertilization rate in summer.

Details

Title
Fertilization rate of crossbreeding cattle using sexing and conventional semen in different seasons in South Papua
Author
Nurcholis, Nurcholis 1 ; Sumaryanti, Lilik 2 ; Irianto, Apri 1 ; Salamony, Syetiel Maya 1 

 Department of Animal Husbandry, Universitas Musamus, Merauke, Indonesia 
 Department of Informatic Engineering, Universitas Musamus, Merauke, Indonesia 
Pages
954-960
Publication year
2024
Publication date
Dec 2024
Publisher
Network for the Veterinarians of Bangladesh Bangladesh Agricultural Universityת Faculty of Veterinary Science
e-ISSN
23117710
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3204368632
Copyright
© 2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the"License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.