Genetic Parameters and Weighted Single-Step Genome-Wide Association Studies of Fertility Traits in Chinese Holstein.

Shanshan Li, Ao Wang, Yao Chang, Qingxia Yan, Hailiang Zhang, Shiyu Hou, Gang Guo, Yachun Wang

Abstract read

In one paragraph

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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shanshan LiState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding, and Reproduction, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0009-0007-9701-0000

Ao WangState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding, and Reproduction, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0009-0005-8504-9739

Yao ChangState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding, and Reproduction, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

Qingxia YanDairy Association of China, Beijing 100193, China.

Hailiang ZhangState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding, and Reproduction, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8050-2494

Shiyu HouAnshan Hengli Dairy Farm, Anshan 114200, China.

Gang GuoBeijing Sunlon Livestock Development Company Limited, Beijing 100029, China.

Yachun WangState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding, and Reproduction, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-3629-2802

Funding

China Agriculture Research System CARS-36the Key Research Project of NingxiaHui Autonomous Region 2025BBF01008

6 · The paper itself

Abstract

Fertility traits are core functional traits in dairy cattle, yet their low heritability makes traditional phenotypic selection inefficient. Weighted single-step GWAS (WssGWAS) improves detection power by integrating pedigree, phenotype, and genotype data. This study aimed to estimate genetic parameters and identify genomic regions associated with eight fertility traits in Chinese Holstein cattle using pedigree, phenotype, and genotype data. Genetic parameters were estimated via pedigree-based BLUP (PBLUP) and ssGBLUP, and a WssGWAS was performed to detect QTL. A total of 23,771 cattle were genotyped using liquid-phase chips and 150 K chips; after imputation and quality control, 13,690 individuals and 103,262 SNPs were retained. The eight traits comprised heifer traits (AFS, AFC, NS_H, and IFL_H) and cow traits (ICF, CI, NS_C, and IFL_C). The findings indicate that while most fertility traits exhibit low heritability (ranging from 0.024 to 0.085), AFS displays high heritability (0.390). WssGWAS identified 162 QTL intervals and 645 candidate genes, including

Indexed as

candidate genesChinese Holsteinfertility traitQTL regionweighted single-step genome-wide association study

Identifiers

PMID42278057

DOI10.3390/ani16111622

PMCPMC13255800

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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.