Evidence map›Paper›PMID 31698877›Full record

ArticleAnimals : an open access journal from MDPI2019

Establishing a Model for Evaluating Chicken Coccidiosis Resistance Based on Principal Component Analysis.

Wenbin Zou, Hailiang Yu, Xiaohui Wang, Guojun Dai, Mingming Sun, Genxi Zhang, Tao Zhang, Huiqiang Shi, Kaizhou Xie, Jinyu Wang

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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 2 institutions in 2 countries.

Wenbin ZouCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Hailiang YuCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Xiaohui WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Guojun DaiCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Mingming SunDepartment of Animal Science, University of Wyoming, Laramie, Wyoming, WY 82072, USA.
Genxi ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Tao ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Huiqiang ShiJiangsu Jinghai Poultry Industry Group Co., Ltd., Nantong 226103, China.
Kaizhou XieCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Jinyu WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Yangzhou University · CNUniversity of Wyoming · US

Funding

and the China Agriculture Research System CARS-41-G23Jiangsu Agricultural Industry Technology System JATS[2018]303the National Sci-Tech Support Plan 2014BAD13B02the Priority Academic Program Development of Jiangsu Higher Education Institutions PAPD
6 · The paper itself

Abstract

To establish a coccidiosis resistance evaluation model for chicken selection, the different parameters were compared between infected and control Jinghai yellow chickens. Validation parameters were selected for principal component analysis (PCA), and an optimal comprehensive evaluation model was selected based on the significance of a correlation coefficient between coccidiosis resistance parameters and principal component functions. The following six different parameters were identified: body weight gain 3-5 days post infection and catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), malondialdehyde (MDA) and γ-interferon (IFN-γ) concentrations on the eight day post inoculation. Six principal components and one accumulated contribution of up to 80% of the evaluation models were established by PCA. The results showed that the first model was significantly or highly significantly related to nine resistance parameters (

Indexed as

coccidiosis resistance parameterevaluation modelprincipal component analysisselection index

Identifiers

PMID31698877
PMCPMC6912841
OpenAlexW2986011631

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.