Evidence map›Paper›PMID 37020945›Full record

ArticleHeliyon2023

Metabolomics analysis of the effects of different litter size on reproductive metabolism and oxidative stress in breeding pigeon (Columba livia).

Suiling Zhang, Yanlin Zhang, Wanyi Mo, Menglin Yang, Weiying Huang, Hongyan Gao, Yantao Lv, Ziying Wang, Wei Wang, Yanhua Huang and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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
3.6field-weighted citation impact, top 8% 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, 9 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

11 authors at 2 institutions in 1 country.

Suiling ZhangInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Yanlin ZhangInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Wanyi MoInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Menglin YangInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Weiying HuangInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Hongyan GaoInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Yantao LvInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Ziying WangMeizhou Jinlv Modern Agriculture Development Co., Ltd., Meizhou, 514500, China.
Wei WangInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Yanhua HuangInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Jie PengInnovative Institute of Animal Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510225, China.
Zhongkai University of Agriculture and Engineering · CNKey Laboratory of Guangdong Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pigeon breeding industry employs a high-rearing pattern to achieve economic benefits. However, too many squabs consume more energy of the breeding pigeons causing adverse effects on their breeding performance. To determine the optimal rearing patterns and the effects of different numbers of squabs on reproductive performance, oxidative stress, and glucolipid metabolism of lactating breeding pigeons in winter, three rearing patterns consisting of "2 + 2″, "2 + 3″ and "2 + 4" (a pair of breeding pigeons feeding two, three and four squabs, respectively) were adopted using European Mimas white pigeons breed. The feed intake, bodyweight loss, feed-to-meat ratio, and squab mortality were linearly increased with the number of squabs during lactation, while the bodyweight recovery rate and squab growth performance were significantly slowed down after lactation. Similarly, the laying rate was linearly decreased on days 16, 17, and 18 of lactation, with a similar pattern on the re-laying rate on days 11, 12, and 13 after first laying. In addition, the number of non-laying pigeons in the second batch was significantly increased, implying that the number of squabs significantly affected the reproductive performance of female pigeons. The eggshell weight and thickness in the "2 + 3″ group were significantly increased. However, the number of squabs in the "2 + 3″ group had no significant effect on plasma calcium (Ca) and phosphorus (P) levels. Analysis of the glucolipid metabolism index and oxidative stress level of pigeons further revealed that the contents of triglyceride (TG), total cholesterol (T-CHO), and low-density lipoprotein cholesterol (LDL-C) in the plasma of male pigeons were significantly decreased with the increase in the number of squabs, but there was no obvious oxidative stress. On the contrary, glucose (GLU), TG, malondialdehyde (MDA) in the plasma of female pigeons were significantly increased, total antioxidant capacity (T-AOC) were significantly decreased, implying that the female pigeons suffered more oxidative stress and more dramatic changes in glucolipid metabolism. Metabolomics revealed that the differential metabolites in the plasma of female pigeons in "2 + 2″, "2 + 3″, and "2 + 4″ groups were significantly enriched in the fatty acid, phospholipid, sphingolipid metabolism, and the Krebs cycle pathways, especially under "2 + 4″ rearing pattern. Overall, in female pigeons, the available lipids were reduced; hence, their body turned to sugar dysplasia and protein utilization mode, increasing the oxidative stress level and decreasing their reproductive performance. Therefore, an increased number of squabs significantly affects the body condition and reproductive performance of breeding pigeons. The "2 + 3″ rearing pattern is the most suitable for winter breeding pigeon production under the current nutrition level.

Indexed as

Glucolipid metabolismMetabolomicsOxidative stressRearing patternsReproductive performance

Identifiers

PMID37020945
PMCPMC10068127
OpenAlexW4324100867

What OpenQuestion holds

Textmetadata
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.