Evidence map›Paper›PMID 36908523›Full record

ArticleFrontiers in veterinary science2023

Administration of GnRH at day 20 of AI and embryonic losses in synchronized crossbred buffalo.

Adili Abulaiti, Zahid Naseer, Wenju Liu, Zulfiqar Ahmed, Mohamed Abdelrahman, Aftab Shaukat, Xunsheng Pang, Shujuan Wang

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Adili AbulaitiCollege of Animal Science, Anhui Science and Technology University, Chuzhou, Anhui, China.
Zahid NaseerFaculty of Veterinary and Animal Sciences, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan.
Wenju LiuCollege of Life and Health Science, Anhui Science and Technology University, Chuzhou, Anhui, China.
Zulfiqar AhmedKey Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.
Mohamed AbdelrahmanAnimal Production Department, Faculty of Agriculture, Assiut University, Asyut, Egypt.
Aftab ShaukatKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
Xunsheng PangCollege of Animal Science, Anhui Science and Technology University, Chuzhou, Anhui, China.
Shujuan WangCollege of Animal Science, Anhui Science and Technology University, Chuzhou, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Following the application of different artificial insemination and synchronization protocols, the synchronized buffaloes had a higher incidence of early embryonic or fetal death, thus impairing reproductive performance. Therefore, there is a need to devise a synchronizing program that can improve conception, allow early pregnancy diagnosis, reduce early embryonic losses, and provide an early clue for pregnancy diagnosis and establishment. The present study aimed (1) to determine the effect of administration of different GnRH doses at day 20 of artificial insemination (AI) on the reproductive performance of buffaloes and (2) to observe the influence of synchronization protocol, parity, age, milk production, and body condition score (BCS) on early embryonic loss and progesterone (P4) levels in crossbred buffaloes. Methods: Crossbred buffaloes ( Results: The results indicated no difference ( Conclusion: The data suggest that GnRH 200 μg at day 20 of AI improves embryo survival and pregnancy maintenance in crossbred buffaloes.

Indexed as

crossbred buffaloesembryonic mortalityestrus synchronizationGnRHprogesterone (P4)

Identifiers

PMID36908523
PMCPMC9995848

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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.