Evidence map›Paper›PMID 40886731›Full record

ReviewAnimal biotechnology2025

Genomic analysis for cattle breeding improvement, progress and future perspectives in Peru: a review.

Deyanira Figueroa, Yolanda Romero, Lizeth A Heredia-Vilchez, Carlos Poemape, Wigoberto Alvarado, Carlos Quilcate

Abstract readReview
In one paragraph

Review in Animal biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Deyanira FigueroaDirección de Investigación y Desarrollo Tecnológico - DIDET, Instituto Nacional de Innovación Agraria, Lima, Perú.
Yolanda RomeroDirección de Investigación y Desarrollo Tecnológico - DIDET, Instituto Nacional de Innovación Agraria, Lima, Perú.
Lizeth A Heredia-VilchezInstituto de Investigación en Ganadería y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza, Amazonas, Perú.
Carlos PoemapeUnidad de Imagen Institucional, Instituto Nacional de Innovación Agraria, Lima, Perú.
Wigoberto AlvaradoFacultad de Ingeniería Zootecnista, Agronegocios y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Amazonas, Perú.
Carlos QuilcateDirección de Investigación y Desarrollo Tecnológico - DIDET, Instituto Nacional de Innovación Agraria, Lima, Perú.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics offers a promising solution by enabling precise cattle selection and breeding to boost productivity and sustainability. In Peru, livestock plays a crucial role in the economy and food security. Despite its importance, the sector faces significant challenges, including poor pasture quality, limited conservation practices, a shortage of trained professionals, minimal use of genomic tools, and an incomplete understanding of the genetic potential of both native and introduced breeds. Since the 1940s, Peru has advanced in genetic improvement through artificial insemination, improved semen preservation, the establishment of a National Semen Bank, and the introduction of new breeds. Key developments have included embryo transfer, in vitro fertilization, and pioneering cloning efforts. Future perspectives for livestock genomics in Peru involve expanding bioinformatics capacity, improving genomic infrastructure, and integrating genomic selection into national breeding strategies. This review discusses the history, current status, challenges, and future perspectives of livestock genomics in Peru.

Indexed as

BreedingGenomicsAnimalsCattleFertilization in VitroInsemination, ArtificialMalePerucattleGenomicsPerureview

Identifiers

PMID40886731
PMCPMC12674401

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.