Evidence map›Paper›PMID 41373512›Full record

ReviewInternational journal of molecular sciences2025

Advancements in Animal Breeding: From Mendelian Genetics to Machine Learning.

Manjit Panigrahi, Divya Rajawat, Sonali Sonejita Nayak, Anal Bose, Nishu Bharia, Shreyasi Singh, Anurodh Sharma, Triveni Dutt

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

8 authors.

Manjit PanigrahiDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
Divya RajawatDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
Sonali Sonejita NayakDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.ORCID 0000-0003-0139-0082
Anal BoseDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
Nishu BhariaDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
Shreyasi SinghDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
Anurodh SharmaDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
Triveni DuttLivestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal breeding has undergone profound transformations from its origins in phenotypic observation to the integration of genomic and machine learning techniques. This review paper explores the progression of livestock breeding, tracing its roots to the domestication of animals during the Neolithic Revolution. Gregor Mendel's foundational work with pea plants established key principles of Mendelian genetics, which initially focused on discrete qualitative traits. However, the advancement of quantitative genetics has shifted the focus to continuous traits, such as body weight and milk yield, which are influenced by multiple genes. QTL mapping revolutionized breeding by shifting from phenotype- to genotype-based selection, enhancing accuracy through genomic predictions like GEBV under GBLUP. The strongest QTL associations on chromosome 18 linked local GEBV with

Indexed as

BreedingLivestockMachine LearningAnimalsGenomicsPhenotypeQuantitative Trait LocibreedingcattleG-BLUPgenomic predictionmachine learningMendelian geneticsQTL mappingRandom Forest

Identifiers

PMID41373512
PMCPMC12691997

What OpenQuestion holds

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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.