Evidence map›Paper›PMID 34675963›Full record

ArticleFrontiers in genetics2021

Identification of SNPs and Candidate Genes for Milk Production Ability in Yorkshire Pigs.

Lijun Shi, Yang Li, Qian Liu, Longchao Zhang, Ligang Wang, Xin Liu, Hongmei Gao, Xinhua Hou, Fuping Zhao, Hua Yan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

11 authors at 1 institution in 1 country.

Lijun ShiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yang LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Qian LiuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Longchao ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ligang WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xin LiuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Hongmei GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xinhua HouInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Fuping ZhaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Hua YanInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Lixian WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Chinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sow milk production ability is an important limiting factor impacting suboptimal growth and the survival of piglets. Through pig genetic improvement, litter sizes have been increased. Larger litters need more suckling mammary glands, which results in increased milk from the lactating sow. Hence, there is much significance to exploring sow lactation performance. For milk production ability, it is not practical to directly measure the milk yield, we used litter weight gain (LWG) throughout sow lactation as an indicator. In this study, we estimated the heritability of LWG, namely, 0.18 ± 0.07. We then performed a GWAS, and detected seven significant SNPs, namely,

Indexed as

candidate geneGWASlitter weight gainSNPYorkshire pig

Identifiers

PMID34675963
PMCPMC8523896
OpenAlexW3166574002

What Socratic 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 Socratic graph.