Evidence map›Paper›PMID 37147656›Full record

ArticleJournal of animal science and biotechnology2023

Strategies to improve genomic predictions for 35 duck carcass traits in an F

Wentao Cai, Jian Hu, Wenlei Fan, Yaxi Xu, Jing Tang, Ming Xie, Yunsheng Zhang, Zhanbao Guo, Zhengkui Zhou, Shuisheng Hou

Open access · goldAbstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Genome-Wide Association Studies in Japanese Quails of the FInternational journal of molecular sciences · 2025
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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

10 authors at 3 institutions in 1 country.

Wentao Cai *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Jian Hu *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Wenlei FanInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yaxi XuCollege of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Jing TangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Ming XieInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yunsheng ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Zhanbao GuoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Zhengkui ZhouInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Shuisheng HouInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. houss@263.net.
Chinese Academy of Agricultural Sciences · CNBeijing University of Agriculture · CNQingdao Agricultural University · CN

Funding

China Agriculture Research System of MOF and MARA CARS-42Taishan Industry Leadership Talent Project of Shandong province in China TSCY20190108the Key Technologies Research on New Breed of Broiler Poultry by Integration of Breeding, Reproduction and Promotion 2021CXGC010805-02the Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences CXGC-IAS-09
6 · The paper itself

Abstract

backgroundCarcass traits are crucial for broiler ducks, but carcass traits can only be measured postmortem. Genomic selection (GS) is an effective approach in animal breeding to improve selection and reduce costs. However, the performance of genomic prediction in duck carcass traits remains largely unknown.

resultsIn this study, we estimated the genetic parameters, performed GS using different models and marker densities, and compared the estimation performance between GS and conventional BLUP on 35 carcass traits in an F

conclusionThis study demonstrates genomic selection for duck carcass traits is promising. The genomic prediction can be further improved by modifying the genomic relationship matrix using our proposed true variance method and several Bayesian models. Permutation study provides a theoretical basis for the fact that low-density arrays can be used to reduce genotype costs in duck genome selection.

Indexed as

Bayesian modelCarcass traitsDuckGenome predictionGenomic relationship matrixMark density

Identifiers

PMID37147656
PMCPMC10163724
OpenAlexW4372336502

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.