Evidence map›Paper›PMID 40218397›Full record

ArticleAnimals : an open access journal from MDPI2025

Genomic Prediction of Milk Fat Percentage Among Crossbred Cattle in the Indian Subcontinent.

Raghavendran Vadivel Balasubramanian, Murali Nagarajan, Marimuthu Swaminathan, Raja Angamuthu, Muralidharan Jaganadhan, Saravanan Ramasamy, Malarmathi Muthusamy, Thiruvenkadan Aranganoor Kannan, Sunday Olusola Peters

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Raghavendran Vadivel BalasubramanianDepartment of Animal Genetics and Breeding, Veterinary College and Research Institute, Namakkal 637002, Tamil Nadu, India.ORCID 0000-0002-1153-8274
Murali NagarajanAlambadi Cattle Breed Research Centre, Tamil Nadu Veterinary and Animal Sciences University, Dharmapuri 635111, Tamil Nadu, India.
Marimuthu SwaminathanCentral Research Station, BAIF Development Research Foundation, Pune 411058, Maharashtra, India.
Raja AngamuthuDepartment of Animal Biotechnology, Madras Veterinary College, Chennai 600007, Tamil Nadu, India.ORCID 0000-0002-5477-2730
Muralidharan JaganadhanMecheri Sheep Research Station, Pottaneri, Salem 636453, Tamil Nadu, India.ORCID 0000-0003-2908-9857
Saravanan RamasamyDepartment of Animal Genetics and Breeding, Veterinary College and Research Institute, Namakkal 637002, Tamil Nadu, India.
Malarmathi MuthusamyDepartment of Animal Genetics and Breeding, Veterinary College and Research Institute, Namakkal 637002, Tamil Nadu, India.ORCID 0000-0003-3279-3810
Thiruvenkadan Aranganoor KannanCollege of Poultry Production and Management, Hosur, Mathigiri 635110, Tamil Nadu, India.ORCID 0000-0001-5849-2800
Sunday Olusola PetersDepartment of Animal Science, Berry College, Mount Berry, GA 30149, USA.ORCID 0000-0002-0216-926X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focused on improving the milk fat percentage for crossbred dairy cows in smallholder systems, using GEBV. The data were collected from 2507 animals between 2016 and 2023 under BAIF's Enhanced Genetic Gains program in Pune, India. After refining the dataset, 33,845 records from 1896 animals were analyzed. The result showed that 75.54% of farms had either one or two animals. Prior to quality control, the mean milk fat percentage was 3.94%, but it decreased to 3.83% after data pruning, which necessitated removing the outliers. Genetic analysis involved 1478 animals genotyped for 49,911 SNPs after applying a rigorous quality control process, and imputation improved the accuracy of genomic data, boosting allele frequency correlation from 0.594 to 0.882. The study revealed that the additive genetic variance, phenotypic variance, and error variance were calculated as 0.012, 0.118, and 0.106, respectively. The heritability was estimated at 0.10, suggesting cautious use for breeding improvements. The GEBV ranged from 0.096 to 3.10%, which offers breeders a practical tool for selecting high-fat-producing cows. This research provides valuable insights into optimizing milk quality and advancing genetic improvement strategies in smallholder dairy systems.

Indexed as

crossbred cattleGEBVgenetic improvementmilk fat percentagesmallholder dairy system

Identifiers

PMID40218397
PMCPMC11988063

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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.