Genomic Dissection of Growth Traits and Spatial Independence from Breed-Defining Loci in Jining Grey Goats.

Yongbo Chen, Tianxu Liu, Aowu Wu, Jingchao Cao, Di Lian, Zhengxing Lian

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.

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

6 authors.

Yongbo ChenState Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0009-0000-1309-5078

Tianxu LiuState Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0009-0002-7973-4025

Aowu WuState Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

Jingchao CaoState Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

Di LianState Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

Zhengxing LianState Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-8418-4916

Funding

China National Center for Biotechnology Development Precise Identification of Superior Meat, Cashmere and Dairy Goat Germplasm Resources: 2021YFD1200902.

6 · The paper itself

Abstract

Improving growth while preserving breed-defining characteristics is a central challenge in indigenous livestock breeding. We addressed this issue in Jining Grey goats using low-depth whole-genome sequencing and a conservative multi-evidence marker-prioritization framework. The discovery cohort included 70 performance-graded goats at 3 months (

Indexed as

candidate marker panelgenome-wide association studygrowth traitsJining Grey goatlow-depth whole-genome sequencingselective-sweep analysis

Identifiers

PMID42651998

DOI10.3390/ani16162593

PMCPMC13509221

What OpenQuestion holds

Textmetadata

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.