Evidence map›Paper›PMID 42877378›Full record

ArticleAnimal reproduction2026

Targeted use of automated estrus detection and strategies to improve fertility outcomes in lactating dairy cows.

Rafael Sisconeto Bisinotto, Phillip Martins Gondim Peixoto, Victoria Alice Bastos Primo, Maria Belen Ugarte Marin, Deniquer Klein Roese, Pedro Leopoldo Jerônimo Monteiro, Ricardo Carbonari Chebel

Abstract read
In one paragraph

Article in Animal reproduction, 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

7 authors.

Rafael Sisconeto BisinottoDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-6144-2919
Phillip Martins Gondim PeixotoCollege of Veterinary Medicine at Orange Park, Lincoln Memorial University, Orange Park, FL, USA.ORCID 0000-0003-3896-8626
Victoria Alice Bastos PrimoDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, USA.ORCID 0009-0005-8731-3935
Maria Belen Ugarte MarinDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-8942-6160
Deniquer Klein RoeseDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-7140-2638
Pedro Leopoldo Jerônimo MonteiroDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, USA.ORCID 0000-0003-0382-9423
Ricardo Carbonari ChebelDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-9700-8089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reproductive performance of lactating dairy cows has improved largely over the past two decades. Such progress reflects advances in reproductive management practices, but also incorporation of fertility traits into genetic selection programs and improvements in cow comfort and health that have allowed high-producing dairy cows to better express their reproductive potential. This review summarizes recent developments in reproductive management strategies that have contributed to continued improvements in reproductive efficiency in lactating dairy cows. Increased availability of genomic data and automated monitoring technologies has created unique opportunities for the development of targeted management strategies tailored to specific cohorts of cows, which can reduce reproductive costs and allow for reorganization of routine tasks and labor utilization while maintaining reproductive performance. As the genetic makeup of high-producing dairy cows continues to evolve, understanding of the biological processes that control fertility will remain paramount so that novel technologies can be employed effectively as they become applicable to commercial farms. Strategies to improve reproductive performance of cows with inferior genetic merit for fertility and during the hot months of the year, among solutions to other physiological and environmental challenges, are expected to complement automated monitoring systems. Novel strategies for early identification and reinsemination of nonpregnant cows have allowed for the development of efficient resynchronization protocols.

Indexed as

fertilitygenomic testingpregnancy diagnosiswearable devices

Identifiers

PMID42877378
PMCPMC13667905

What OpenQuestion holds

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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.