Evidence map›Paper›PMID 41497387›Full record

ReviewJDS communications2025

The intersection of biology and advanced technologies defines the future of dairy reproductive management.

M C Lucy

Abstract readReview
In one paragraph

Review in JDS communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. The Future of Dairy: Introduction.JDS communications · 2025
    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

1 author.

M C LucyDivision of Animal Sciences, University of Missouri, Columbia, MO 65211.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in reproductive management in dairy cattle have typically been made through the application of new technology. The past 25 yr have been a period of rapid improvement in dairy reproduction through the implementation of new technology that was unknown a short time ago. The next 25 yr will likely be similar with the refinement of existing technology and development of new technology to address the current challenges to dairy reproduction. Many of these new developments will address the need for greater on-farm automation necessitated by the consolidation of farms (more cows per farm) in the face of shortages in large animal veterinary and agricultural labor. Genomics will continue to play an important role in improving fertility on farm. There is the possibility that postpartum uterine health could benefit from advanced technologies that are emerging as effective treatments for tissue damage caused by disease. The reprogramming of somatic cells into gametes (in vitro gametogenesis) or embryos (blastoids) may entirely change the methods used to propagate elite genetics from female animals. Despite important advances in new technology, there are also important questions and researchable topics that need to be addressed so that the field of dairy reproduction can advance. These include automating or simplifying the current method of artificial insemination, addressing the short lifespan of sperm in the reproductive tract, and solving fertilization failure and embryonic loss following insemination. Embryo technologies await new discoveries to improve embryo yield from donor animals, increase the development of embryos in culture, reduce the damage caused by freezing embryos, and effectively evaluate embryo quality before transfer. The collective result of new knowledge and new technology will drive further improvements in genetics, fertility, and the efficiency of reproduction in high-producing dairy cattle.

Identifiers

PMID41497387
PMCPMC12766600

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.