Evidence map›Paper›PMID 42877448›Full record

ArticleAnimal reproduction2026

Bridging the gap between basic research and commercial application at scale for in vitro bovine embryo production.

Rebecca L Krisher

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

1 author.

Rebecca L KrisherDepartment of Animal Science, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0003-3027-9324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of in vitro embryo production (IVP) in cattle has established this technology as a major driver of genetic progress and production efficiency. Despite widespread adoption, IVP systems remain inherently inefficient, with substantial losses occurring from oocyte to blastocyst and variable outcomes following transfer. At the same time, significant advances in the understanding of oocyte competence and embryo biology have occurred. However, this knowledge has not consistently translated into improvements in commercial embryo production. The purpose of this review is to examine the gap between basic discovery and field application in bovine IVP and to define the biological and operational factors that limit successful translation at scale. A central constraint is the fundamental difference between systems optimized under controlled laboratory conditions and those required to perform consistently across diverse donor populations, laboratory environments, and high-throughput workflows. Biological variability, metabolic regulation, and the complexity of embryo physiology intersect with operational feasibility, including scalability, cost, and workforce constraints, to limit adoption of new approaches. A structured translational pipeline, from discovery through proof of concept, development, and implementation, is required to align mechanistic insight with commercial realities. Successful translation depends on integrating biological understanding with system robustness, evaluating outcomes beyond early developmental endpoints, and aligning research and industry priorities throughout the development process. Strengthening the collaboration between research and industry is essential for continued innovation and growth of bovine IVP systems.

Indexed as

embryo transferin vitro fertilizationtranslational pipeline

Identifiers

PMID42877448
PMCPMC13667900

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.