Evidence map›Paper›PMID 41227509›Full record

ArticleAnimals : an open access journal from MDPI2025

Establishment of an Amino Acid Nutrition Prediction Model for Laying Hens During the Brooding and Early-Growing Period.

Jiatong Li, Meng Hou, Weidong Yuan, Xin Zhang, Xing Wu, Yijie Li, Ruirui Jiang, Donghua Li, Yujie Guo, Xiangtao Kang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Jiatong LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Meng HouCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Weidong YuanCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Xin ZhangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Xing WuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Yijie LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Ruirui JiangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.ORCID 0000-0002-7863-6186
Donghua LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Yujie GuoCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Xiangtao KangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.ORCID 0000-0002-9628-7135
Yujie GongCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Yongcai WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Yadong TianCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to develop a dynamic factorial model for predicting amino acid requirements in Hy-Line Gray laying hens during critical early growth stages (0-84 days), addressing the need for precision feeding in modern poultry production systems.

methodsFour sequential trials were conducted. In Trial 1, growth curves and protein deposition equations were developed based on fortnightly body composition analyses, with parameters evaluated using the Akaike and Bayesian information criteria (AIC and BIC). In Trial 2, the carcass and feather amino acid profiles were characterized via HPLC. And established the amino acid composition patterns of chicken feather protein and carcass protein (AAF and AAC). In Trial 3, maintenance requirements were quantified through nitrogen balance studies, and in Trial 4, amino acid patterns of feather protein (APD) and apparent protein digestibility (ADD) were established using an endogenous indicator method. These datasets were integrated through factorial modeling to predict age-specific nutrient demands.

resultsThe developed model revealed the following quantitative requirements (g/day) for 18 amino acids across developmental stages: aspartic acid (0.1-0.863), glutamic acid (0.170-1.503), serine (0.143-0.806), arginine (0.165-0.891), glycine (0.258-1.279), threonine (0.095-0.507), proline (0.253-1.207), alanine (0.131-0.718), valine (0.144-0.737), methionine (0.023-0.124), cysteine (0.102-0.682), isoleucine (0.086-0.458), leucine (0.209-1.067), phenylalanine (0.086-0.464), histidine (0.024-0.133), lysine (0.080-0.462), tyrosine (0.050-0.283), and tryptophan (0.011-0.060). The model demonstrated strong predictive validity throughout the 12-week growth period.

conclusionThis integrative approach yielded the first dynamic requirement model for Hy-Line Gray layers during early development. The factorial framework enables precise adjustment of amino acid provisions to match changing physiological needs and has high potential value in optimizing feed efficiency and supporting sustainable layer production practices.

Indexed as

amino acidbroodingearly-growinglaying hennutrition prediction model

Identifiers

PMID41227509
PMCPMC12610177

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.