Evidence map›Paper›PMID 42004252›Full record

ArticleAnimal nutrition (Zhongguo xu mu shou yi xue hui)2026

Determination of standardized mineral availability in different corn sources for broilers and establishment of prediction models.

Xin Du, Wenpeng Chen, Chunyu Cao, Liyang Zhang, Shengchen Wang, Xiaoyan Cui, Tingting Li, Yun Hu, Xugang Luo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2026. 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. 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.

Xin DuPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.
Wenpeng ChenPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.
Chunyu CaoPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.
Liyang ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Shengchen WangPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.
Xiaoyan CuiPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.
Tingting LiPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.
Yun HuPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.
Xugang LuoPoultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, few prediction models have been reported for estimating the standardized mineral availability (SMA) in feedstuffs for broilers and other animals. The present study aimed to analyze the chemical composition of 10 different corn sources, and then determine their SMAs for broilers, and establish prediction models for SMAs in corn based on their chemical components. Finally, the accuracies of these models were verified. In total, 352 male Arbor Acres (AA) broilers (average body weight of 1.03 ± 0.01 kg) at 22 d of age were selected and randomly divided by body weight into 11 treatment groups, with 8 replicate cages of 4 broilers per replicate cage for each treatment. On d 26, the chickens were fed either one mineral-free diet or 10 tested corn diets for 4 h. Fecal samples were collected continuously for 52 h to determine their SMAs. The data from nine corn samples were employed with stepwise regressions to build SMAs prediction models. One corn sample was randomly selected to test the accuracies of SMAs prediction models. Different corn sources significantly affected SMAs in broilers (

Indexed as

BroilerChemical compositionCornPrediction modelStandardized mineral availability

Identifiers

PMID42004252
PMCPMC13089209

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.