Evidence map›Paper›PMID 42617264›Full record

ArticlePoultry science2026

Genetic parameters of feeding behavior traits and multi-tissue transcriptomic comparison of divergent feeding patterns in ducks.

Shihao Guo, Xing Liu, Yang Xi, Jingjing Qi, Zhao Yang, Xu Han, Weikang Ling, Lili Bai, Anqi Huang, Jiwei Hu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Shihao GuoState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Xing LiuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Yang XiCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China.
Jingjing QiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Zhao YangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Xu HanState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Weikang LingState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Lili BaiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Anqi HuangCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China.
Jiwei HuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Liang LiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Hehe LiuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; College of Life Science, Sichuan Agricultural University, Ya'an 625014, China. Electronic address: liuee1985@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feeding behavior is a key factor influencing growth performance and feed efficiency in poultry, yet its complex phenotypes remain difficult to quantify accurately, limiting the application of large-scale behavioral data in genetic and molecular analyses. In this study, feeding behavior and feed efficiency-related phenotypes were recorded in 829 Tianfu Nonghua ducks using an automated feeding monitoring system integrated with radio frequency identification (RFID) technology. Genetic parameter estimation indicated that the heritability of feeding behavior traits ranged from 0.25 to 0.39. Individuals were classified into high-frequency feeding (HFF) and low-frequency feeding (LFF) groups. Phenotypic analysis showed that ducks in the HFF group had significantly higher residual feed intake (RFI) and feed conversion ratio (FCR) than those in the LFF group. Based on this grouping, transcriptome sequencing was performed on the hypothalamus, pituitary, and liver tissues. A total of 266, 181, and 94 differentially expressed genes (DEGs) were identified in the three tissues, respectively. Enrichment analysis highlighted tissue-specific pathways, including neuroactive ligand-receptor interaction and calcium signaling in the hypothalamus, the Apelin signaling pathway in the pituitary, and steroid hormone biosynthesis in the liver. Appetite-related genes in the hypothalamus (PMCH, HCRT, and CCKAR) and endocrine and metabolic genes in the pituitary and liver (TRH and NEGR1) showed differential expression between feeding strategies. Weighted gene co-expression network analysis further identified hub genes (ITPKB, BAMBI, and BCKDHB) associated with total feeding bouts (TFB). These findings provide new insights into the genetic architecture of feeding behavior traits and the molecular differences associated with divergent feeding patterns in ducks.

Indexed as

Feed efficiencyFeeding behaviorFeeding patternsGenetic parametersWaterfowl

Identifiers

PMID42617264
PMCPMC13521242

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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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.