Evidence map›Paper›PMID 41257575›Full record

ArticleBMC genomics2025

Genetic analysis and quantitative trait loci detection of udder traits in Jersey cattle.

Xubin Lu, Mingxue Long, Hao Zhu, Hui Jiang, Fuzhen Zhou, Bo Wang, Zongping Liu, Zhangping Yang

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

8 authors.

Xubin LuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, PR China.
Mingxue LongCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, PR China.
Hao ZhuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, PR China.
Hui JiangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, PR China.
Fuzhen ZhouZhejiang Key Laboratory of Cow Genetic Improvement and Milk Quality Research, Wenzhou, 325000, PR China.
Bo WangCollege of Food Science and Engineering, Yangzhou University, Yangzhou, 225009, China.
Zongping LiuCollege of Veterinary Medicine, (Institute of Comparative Medicine), Yangzhou University, Yangzhou, 225009, PR China.
Zhangping YangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, PR China. yzp@yzu.edu.cn.

Funding

the Biological Breeding-Major Projects in National Science and Technology 2023ZD0404902-02the Jiangsu Province Seed Industry Revitalization Project JBGS [2021]115the Jiangsu Provincial Colleges and Universities General Project 24KJB230006the National Natural Science Foundation of China 32402712the Natural Science Foundation of Jiangsu Province BK20240914the Yangzhou Soft Science Research Foundation 2025176
6 · The paper itself

Abstract

backgroundThe udder is a crucial trait in dairy cattle breeding, influencing both milk production and quality. Understanding the genetic basis of udder traits is essential for improving breeding strategies. This study aims to estimate the genetic parameters of key udder traits in Jersey cattle, assess their impact on lactation performance, and identify quantitative trait loci associated with these traits.

resultsThe study was conducted on 1,631 first-lactation Jersey cows, evaluating eight udder traits: udder depth, central ligament, fore udder attachment, front teat position, teat length, rear udder height, rear udder width, and rear teat placement. Heritability estimates for these traits ranged from low to moderate, with udder depth showing the highest heritability at 0.291 ± 0.061, while fore udder attachment had the lowest at 0.080 ± 0.040. The udder traits significantly influenced lactation performance, including milk yield, milk fat percentage, milk protein percentage, somatic cell score, and milk urea nitrogen. All eight udder traits exhibited significant phenotypic correlations and certain genetic correlations. The highest positive genetic correlation was observed between rear teat position and front teat position, while the highest negative genetic correlation was found between teat length and rear teat position. Genome-wide association studies identified 39 significant single nucleotide polymorphisms, and transcriptome-wide association studies, along with gene ontology enrichment analysis, revealed candidate genes such as NFATC3, OSTF1, ENPP4, PRKCA, EFHB, TAS2R46, and SLC35G1, which may play a role in regulating udder traits.

conclusionsThis study provides valuable insights into the genetic architecture of udder traits in Jersey cattle. The identified genetic markers and candidate genes enhance our understanding of the factors influencing udder development and lactation performance. These findings lay the groundwork for future molecular research aimed at improving udder traits and breeding strategies in dairy cattle.

Indexed as

Mammary Glands, AnimalQuantitative Trait, HeritableQuantitative Trait LociAnimalsBreedingCattleFemaleGenome-Wide Association StudyLactationMilkPhenotypePolymorphism, Single NucleotideGenetic parametersJersey cattleQuantitative trait lociUdder traits

Identifiers

PMID41257575
PMCPMC12628859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.