Evidence map›Paper›PMID 42484429›Full record

ArticleAnimal science journal = Nihon chikusan Gakkaiho

Prediction Equations of Growth Performance and Metabolizable Energy From in Vitro Digestible Energy Determined With a Computer-Controlled Simulated Digestion System in Feed for Chickens.

Guoyi Niu, Yujing Zhang, Tingrui Zhang, Liangyu Yang, Bin Xiang, Linli Tao

Abstract read
In one paragraph

Article in Animal science journal = Nihon chikusan Gakkaiho. 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

6 authors.

Guoyi NiuFaculty of Animal Science and Technology, Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, China.ORCID https://orcid.org/0000-0003-0637-9042
Yujing ZhangFaculty of Animal Science and Technology, Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, China.
Tingrui ZhangCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming, China.
Liangyu YangCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming, China.
Bin XiangCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming, China.
Linli TaoFaculty of Animal Science and Technology, Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, China.

Funding

Modern Agricultural Industrial Technology System Construction of Yunnan provinceNational Key Research and Development Program of China 2022YFD1601904Yunnan Fundamental Research Projects 202301BD070001-175
6 · The paper itself

Abstract

Two experiments were conducted to establish the prediction equations of growth performance and apparent metabolizable energy (AME) on chemical composition and enzymatic hydrolysate gross energy (EHGE) of corn, soybean meal (SBM), corn gluten meal (CGM), and wheat bran (WB) in chickens. Experiment 1 established the prediction equations of EHGE of four ingredients on chemical composition. In experiment 2, prediction equations of growth performance and AME based on EHGE of diets in chickens was developed. The variation was high for ether extract (EE) and crude protein (CP) of corn (6.78, 9.56) and WB (15.42, 10.41). The coefficient of variation of EE was higher than those of other ingredients in SBM and CGM. Two, seven, and eight equations for predicting the EHGE of corn, CGM, and WB based on dry matter (DM), GE, CP, and EE were established, respectively. However, statistical analysis showed that prediction equations of SBM were not significant. The prediction equations of ADFI, F/G and AME on EHGE of diets were ADFI = -2.143 * EHGEd + 54.066 (R

Indexed as

Animal FeedAnimal Nutritional Physiological PhenomenaChickensComputer SimulationDietDigestionEnergy MetabolismAnimalsGlycine maxZea maysapparent metabolizable energychickensenzymatic hydrolysate gross energygrowth performanceprediction equation

Identifiers

PMID42484429
PMCPMC13390588

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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.