Evidence map›Paper›PMID 35372544›Full record

ArticleFrontiers in veterinary science2022

Accuracy of Genomic Selection for Important Economic Traits of Cashmere and Meat Goats Assessed by Simulation Study.

Xiaochun Yan, Tao Zhang, Lichun Liu, Yongsheng Yu, Guang Yang, Yaqian Han, Gao Gong, Fenghong Wang, Lei Zhang, Hongfu Liu and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. DietaryAnimals : an open access journal from MDPI · 2026
    Article
  2. Caprine and Ovine Genomic Selection-Progress and Application.Animals : an open access journal from MDPI · 2024
    Review
  3. Article
  4. Article
  5. 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

24 authors.

Xiaochun YanCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Tao ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Lichun LiuCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Yongsheng YuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Guang YangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Yaqian HanCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Gao GongCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Fenghong WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Lei ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Hongfu LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Wenze LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Xiaomin YanCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Haoyu MaoCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Yaming LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Chen DuDepartment of Obstetrics and Gynaecology, Inner Mongolia Medical University, Hohhot, China.
Jinquan LiKey Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China.
Yanjun ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Ruijun WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Qi LvCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Zhixin WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Jiaxin ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Zhihong LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Zhiying WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Rui SuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection in plants and animals has become a standard tool for breeding because of the advantages of high accuracy and short generation intervals. Implementation of this technology is hindered by the high cost of genotyping and other factors. The aim of this study was to determine an optional marker density panel and reference population size for using genomic selection of goats, with speculation on the number of QTLs that affect the important economic traits of goats. In addition, the effect of buck population size in the reference population on the accuracy of genomic estimated breeding value (GEBV) was discussed. Based on the previous genetic evaluation results of Inner Mongolia White Cashmere Goats, live body weight (LBW,

Indexed as

genomic selectiongoatsmarker density panelnumber of QTLsreference population

Identifiers

PMID35372544
PMCPMC8966406

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Registered trials

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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.