Evidence map›Paper›PMID 40759802›Full record

ArticleTropical animal health and production2025

Long-acting progesterone supplementation and administration of gonadotropin releasing hormone in early diestrus improves pregnancy rates in Nellore cows with low body condition score and subjected to timed artificial insemination.

Samuel Rodrigues Bonamichi do Couto, Nicolas Moreira Piedras Monnerat Caparelli, Mateus Gonçalves Costa, Yuri Barbosa Guerson, Raphael Azevedo Lamim, Rafaella Sobrinho Vidal, João Paulo Nascimento Andrade, Rondineli Pavezzi Barbero, Marco Roberto Bourg de Mello

Abstract readRandomized Controlled Trial, Veterinary
PubMed Publisher
In one paragraph

Article in Tropical animal health and production, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Samuel Rodrigues Bonamichi do CoutoPrograma de Pós-Graduação em Clínica e Reprodução Animal, Post-Doctoral - Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro, Universidade Federal Fluminense, Niterói, RJ, Brasil.ORCID https://orcid.org/0000-0001-6144-6442
Nicolas Moreira Piedras Monnerat CaparelliPrograma de Pós-Graduação em Medicina Veterinária, Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brasil.ORCID https://orcid.org/0000-0002-7570-768X
Mateus Gonçalves CostaPrograma de Pós-Graduação em Medicina Veterinária, Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brasil.ORCID https://orcid.org/0009-0005-3107-1121
Yuri Barbosa GuersonInstituto Federal de Educação, Ciência e Tecnologia do Espírito Santo, Colatina, ES, 29717-000, Brasil.ORCID https://orcid.org/0000-0001-7796-0921
Raphael Azevedo LamimPrograma de Pós-Graduação em Medicina Veterinária, Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brasil.ORCID https://orcid.org/0009-0002-0076-2657
Rafaella Sobrinho VidalPrograma de Pós-Graduação em Medicina Veterinária, Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brasil.ORCID https://orcid.org/0009-0003-9100-1534
João Paulo Nascimento AndradeDepartment of Agricultural Sciences, West Texas A&M, Canyon, TX, 79016, USA.ORCID https://orcid.org/0000-0003-2447-3710
Rondineli Pavezzi BarberoDepartamento de Produção Animal, Universidade Federal Rural do Rio de Janeiro, Seropédica, RJ, Brasil.ORCID https://orcid.org/0000-0002-1577-395X
Marco Roberto Bourg de MelloDepartamento de Reprodução e Avaliação Animal, Universidade Federal Rural do Rio de Janeiro, Seropédica, RJ, Brasil. mmrural@gmail.com.ORCID http://orcid.org/0000-0002-9790-4764

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 302998/2020-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro SEI 260003/001524/2025
6 · The paper itself

Abstract

This study aimed to evaluate the relationship between the body condition score (BCS), pre-ovulatory follicle (POF) and corpus luteum (CL) characteristics, progesterone (P4) concentrations, and reproductive success in Nellore cows subjected to timed artificial insemination (TAI). Two strategies were tested to enhance P4 concentrations and conception rates in cows with a low BCS. After TAI (Day 0), 863 cows were assigned to three groups: P4LA (n = 281; 150 mg long-acting progesterone injection on Day 7), GnRH (n = 285, 10 µg buserelin acetate on Day 7), and control (n = 297; no supplementation). Ultrasound assessments were performed on Day 0 and Day 7, and the cows were classified as high (BCS ≥ 3; n = 160) or low (BCS < 3; n = 101). No significant differences were observed in the POF or CL characteristics between the BCS groups. However, ovulation rates (P = 0.04) and P4 concentrations on Day 7 (P = 0.02) were higher in cows with high BCS. On Day 16, P4 concentrations were not different between high-BCS cows and those treated with GnRH or P4LA (P = 0.16). Among the low-BCS cows, the P4LA group had higher P4 concentrations than the control group (P = 0.04). In the control group, cows with low BCS had lower P4 concentrations than those with high BCS (P = 0.02). The conception rates of the low-BCS cows were lower in the control group than in the treatment group (P = 0.01). In conclusion, administering GnRH or P4LA on D7 post-TAI enhanced P4 concentrations and improved conception rates in Nellore cows with a low BCS.

Indexed as

Gonadotropin-Releasing HormoneInsemination, ArtificialProgesteroneAnimalsCattleDiestrusFemalePregnancyPregnancy RateGonadotropin-Releasing HormoneProgesteroneBeef cattleBlood flowDopplerOvaryOvulation rate

Identifiers

What OpenQuestion holds

Textmetadata
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.