Evidence map›Paper›PMID 39795025›Full record

ReviewAnimals : an open access journal from MDPI2025

Potential Candidate Genes Associated with Litter Size in Goats: A Review.

Wenting Chen, Ying Han, Yinghui Chen, Xiaotong Liu, Huili Liang, Changfa Wang, Muhammad Zahoor Khan

Abstract readReview
In one paragraph

Review 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. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Functional and Genetic Insights into the Role of theAnimals : an open access journal from MDPI · 2025
    Article
  9. Article
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.

Wenting ChenSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Ying HanSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Yinghui ChenSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Xiaotong LiuSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Huili LiangSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Changfa WangSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Muhammad Zahoor KhanSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.

Funding

Key R&D Program Project of Shandong Province 2021TZXD012Liaocheng University scientific research fund 318052025Livestock and Poultry Breeding Industry Project of the Ministry of Agriculture and Rural Affairs 19211162Research on Donkey Pregnancy Improvement K20LC0901the National Key R&D Program of China 2022YFD1600103; 2023YFD1302004the National Natural Science Foundation of China 31671287The Open Project of Liaocheng University Animal Husbandry Discipline 319312101-14The Open Project of Shandong Collaborative Innovation Center for Donkey Industry Technology 3193308The Shandong Province Modern Agricultural Technology System Donkey Industrial Innovation Team SDAIT-27
6 · The paper itself

Abstract

This review examines genetic markers associated with litter size in goats, a key reproductive trait impacting productivity in small ruminant farming. Goats play a vital socioeconomic role in both low- and high-income regions; however, their productivity remains limited due to low reproductive efficiency. Litter size, influenced by multiple genes and environmental factors, directly affects farm profitability and sustainability by increasing the output per breeding cycle. Recent advancements in genetic research have identified key genes and pathways associated with reproductive traits, including gonadotropin-releasing hormone (

Indexed as

genesgoat reproductionprolificacyreproductive performanceselective breeding

Identifiers

PMID39795025
PMCPMC11718837

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.