Evidence map›Paper›PMID 40013289›Full record

ArticleJournal of advanced veterinary and animal research2024

Fertilization rate of crossbreeding cattle using sexing and conventional semen in different seasons in South Papua.

Nurcholis Nurcholis, Lilik Sumaryanti, Apri Irianto, Syetiel Maya Salamony

Abstract read
In one paragraph

Article in Journal of advanced veterinary and animal research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nurcholis NurcholisDepartment of Animal Husbandry, Universitas Musamus, Merauke, Indonesia.ORCID https://orcid.org/0000-0001-6590-5423
Lilik SumaryantiDepartment of Informatic Engineering, Universitas Musamus, Merauke, Indonesia.ORCID https://orcid.org/0000-0002-7736-1715
Apri IriantoDepartment of Animal Husbandry, Universitas Musamus, Merauke, Indonesia.ORCID https://orcid.org/0000-0002-9711-0761
Syetiel Maya SalamonyDepartment of Animal Husbandry, Universitas Musamus, Merauke, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (AI) 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 PGF2α 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 ( Conclusion: Post-AI fertilization using conventional semen was better in all seasons. The double dose of sexed semen can increase the fertilization rate in summer.

Indexed as

Conception ratefemale cattlesemensexingTHI

Identifiers

PMID40013289
PMCPMC11855427

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.