Genome-Wide Association Studies of Milk Composition Traits in Holstein Cattle Raised in Tropical and Subtropical Conditions.

Emanueli F P Silva, Rita C Gaia, Henrique A Mulim, Luís Fernando Batista Pinto, Laiza H S Iung, Luiz F Brito, Victor B Pedrosa

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Article in Animals : an open access journal from MDPI, 2026. 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

–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

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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

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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

7 authors.

Emanueli F P SilvaDepartment of Animal Sciences, State University of Ponta Grossa, Ponta Grossa 84010-330, PR, Brazil.ORCID 0009-0001-5848-5077

Rita C GaiaDepartment of Animal Sciences, State University of Ponta Grossa, Ponta Grossa 84010-330, PR, Brazil.

Henrique A MulimDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-8798-8899

Luís Fernando Batista PintoDepartment of Animal Sciences, Federal University of Bahia, Salvador 40026-010, BA, Brazil.ORCID 0000-0002-0831-3293

Laiza H S IungNeogen Corporation, Pindamonhangaba 12412-800, SP, Brazil.ORCID 0000-0001-6294-0442

Luiz F BritoDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-5819-0922

Victor B PedrosaBiotechnology Research, Neogen Corporation, Lincoln, NE 68504, USA.ORCID 0000-0001-8966-2227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic selection has effectively increased milk, fat, and protein yields in dairy cattle populations. This study aimed to identify genomic regions and candidate genes associated with milk composition traits in Brazilian Holstein cattle using single-step genome-wide association studies (ssGWAS), functional genomic enrichment, and gene network analyses. Phenotypic data for fat and protein yield and percentage from 2339 cows genotyped with a 100K SNP chip were analyzed. Twenty-nine candidate genes were identified, including

Indexed as

candidate genesdairy geneticsfatGWASproductionprotein

Identifiers

PMID42278086

DOI10.3390/ani16111652

PMCPMC13255919

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