Evidence map›Paper›PMID 42072701›Full record

ArticleBiomolecules2026

Individual Effect of Bull Prevails over Sperm Characteristics in Predictive Models.

Adriano Felipe Perez Siqueira, Leticia Signori de Castro, Thais Rose Dos Santos Hamilton, Vivian Cardoso Castiglioni, Luana de Cássia Bicudo, Tamie Guibu Almeida, Rodolfo Daniel Mingoti, Camilla Mota Mendes, Roberta Leite, João Diego de Agostini Losano and 2 more

Abstract read
In one paragraph

Article in Biomolecules, 2026. 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

12 authors.

Adriano Felipe Perez SiqueiraLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.
Leticia Signori de CastroLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.
Thais Rose Dos Santos HamiltonLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0001-8536-3123
Vivian Cardoso CastiglioniLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.
Luana de Cássia BicudoLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0002-8430-2721
Tamie Guibu AlmeidaLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.
Rodolfo Daniel MingotiLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0002-0312-0425
Camilla Mota MendesLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0001-5881-5577
Roberta LeiteLaboratory of Andrology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0001-9751-8604
João Diego de Agostini LosanoLaboratory of Andrology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0002-7947-4027
Marcilio NichiLaboratory of Andrology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0003-4262-0825
Mayra Elena Ortiz D'Avila AssumpçãoLaboratory of Sperm Biology, Department of Animal Reproduction, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-270, SP, Brazil.ORCID 0000-0002-5967-9316

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/07940-9Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/15147-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/11747-6
6 · The paper itself

Abstract

Sperm quality influences bovine in vitro embryo production (IVEP). Linear regression is a statistical tool that models the relationship between a dependent variable and one or more independent variables. It can be used to predict outcomes, analyze trends, and understand the impact of variables. These models are useful for indicating which sperm variables most influence IVEP results, facilitating the selection of superior samples to enhance IVEP. Using early IVEP indicators, such as cleavage rate, can assist in scheduling recipient preparation. This work aimed to construct linear regression models to study the influence of a comprehensive set of sperm variables and cleavage rate on IVEP yields. A dataset comprising 51 semen batches from 23 Nellore bulls was compiled, including 26 sperm variables from computer-assisted sperm analysis (CASA) and flow cytometry per batch, with 184 IVEP procedures. The most robust predictive model had a coefficient of determination of 0.6358; furthermore, the BULL variable was the most influential predictor, yielding an independent coefficient of determination of 0.5218. Models that were exclusively founded on sperm analysis yielded meager coefficients of determination (<0.04). However, to predict the best batch from a bull, individual models achieve coefficients of determination ranging from 0.58 to 0.99. Contributions, impacts, and positive or negative correlations of various sperm variables with in vitro performance were influenced by the bull. We conclude that the BULL variable was the dominant predictor of in vitro performance, with cleavage rates serving as an early estimator of blastocyst rates. The predictive utility of analyzed sperm traits remains limited. Nonetheless, individualized models offer a valuable tool for selecting optimal batches for preferred bulls within IVEP laboratories, culminating in heightened blastocyst rates.

Indexed as

SpermatozoaAnimalsCattleFertilization in VitroFlow CytometryLinear ModelsMaleSemen AnalysisCASAflow cytometerin vitro fertility

Identifiers

PMID42072701
PMCPMC13113200

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.