Evidence map›Paper›PMID 39548132›Full record

ArticleScientific reports2024

Identifying slow-growing commercial pigs using growth performance and health indicators.

Ran Guan, Yang Li, Zhiqiang Hu, Yuntong Shi, Zhiyuan Chen, Lili Wu, Lulu Li, Zheng Yan, Xiaowen Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Ran GuanCollege of Animal Science, Key Laboratory of Animal Epidemic Disease Detection and Prevention in Panxi District, Xichang University, Xichang, 615013, China.
Yang LiShandong Engineering Research Center of Pig and Poultry Health Breeding and Important Infectious Disease Purification, Shandong New Hope Liuhe Group Co., Ltd, Qingdao, 266000, China.
Zhiqiang HuCollege of Animal Science, Key Laboratory of Animal Epidemic Disease Detection and Prevention in Panxi District, Xichang University, Xichang, 615013, China.
Yuntong ShiShandong Engineering Research Center of Pig and Poultry Health Breeding and Important Infectious Disease Purification, Shandong New Hope Liuhe Group Co., Ltd, Qingdao, 266000, China.
Zhiyuan ChenShandong Engineering Research Center of Pig and Poultry Health Breeding and Important Infectious Disease Purification, Shandong New Hope Liuhe Group Co., Ltd, Qingdao, 266000, China.
Lili WuShandong Engineering Research Center of Pig and Poultry Health Breeding and Important Infectious Disease Purification, Shandong New Hope Liuhe Group Co., Ltd, Qingdao, 266000, China.
Lulu LiJuye Xinhao Agriculture and Animal Husbandry Co., Ltd, Heze, 274932, China.
Zheng YanJuye Xinhao Agriculture and Animal Husbandry Co., Ltd, Heze, 274932, China.
Xiaowen LiCollege of Agriculture and Biology, Liaocheng University, Liaocheng, 252059, China. lxw8272@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the growth performance and health status of commercial pigs in different body weight (BW) groups and develop methods for identifying slow-growing pigs. The research observed 79 commercial pigs grouped from 104 to 202 days of age, collecting data on BW, feed intake, and body condition score (BCS) from caliper. Results showed that BCS were highly correlated with BW (r > 0.85, P < 0.001), providing a simple method for assessing commercial pig BW. Commercial pigs with slaughter BWs below 114 kg at approximately 200 days old were identified as slow-growing individuals. White blood cell count, insulin-like growth factor binding protein-3, and blood urea nitrogen were identified as potential biomarkers for identifying slow-growing pigs. Economic analysis revealed that profitability across all BW groups was highly sensitive to market conditions, with feed costs being the most significant factor. Low BW groups performed better in low-price markets but reach break-even points later under medium to high-price scenarios.

Indexed as

Body WeightAnimal FeedAnimal HusbandryAnimalsBiomarkersBlood Urea NitrogenLeukocyte CountSwineBiomarkers

Identifiers

PMID39548132
PMCPMC11567956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.