Evidence map›Paper›PMID 41164365›Full record

ArticleFrontiers in nutrition2025

Predictive models of digestible and metabolizable energy of wheat in growing pigs.

Chuanxin Shi, Qingyan Zhu, Zhuangzhuang Lu, Yongqi Yang, Yanan Ding, Junmin Li, Chunmei Zhang, Li Xi, Xiaofang He, Zhiqiang Li and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

14 authors.

Chuanxin ShiDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Qingyan ZhuDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Zhuangzhuang LuDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Yongqi YangDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Yanan DingDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Junmin LiDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Chunmei ZhangDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Li XiDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Xiaofang HeCollege of Animal Science and Food Engineering, Jinling Institute of Science and Technology, Nanjing, China.
Zhiqiang LiDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Jincheng HanDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Guangli YangDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Yan GuoDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.
Bingbing MaDepartment of Animal Science, College of Smart Animal Husbandry, College of Biology and Food, Shangqiu Normal University, Shangqiu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Wheat is progressively utilized in animal husbandry. However, the chemical properties of wheat are influenced by breed and climate, consequently impacting its economic value and application in feed formulation. This study was conducted to evaluate the digestible energy (DE) and metabolizable energy (ME), as well as apparent total tract digestibility (ATTD) of nutrients in 17 samples of wheat for growing pigs. Methods: Fifty-one growing barrows were randomly allotted to 17 experimental diets (3 pigs in each diet). The experiment included two successive periods, and per period lasted for 12 days, including 7 days for diet adaptation, 5 days for urine and feces collection. Results: There was significant ( Conclusion: DE was significantly positively correlated with ME and CP content, GE was significantly negatively correlated with starch, and CP content was positively correlated with GE, DE and ME contents. Based on statistical analysis of chemical components of wheat samples, the GE, CP, starch, and bulk density are key variables for predicting effective energy, and the most suitable regression equations of DE and ME in different wheat cultivars were DE = 26.6394 - 0.6783 GE (MJ/kg) + 0.1618 CP (%) and ME = -0.3869 + 0.7788 DE (MJ/kg) + 0.0336 starch (%) + 0.0020 bulk density (g/L).

Indexed as

digestible energymetabolizable energypigprediction equationwheat

Identifiers

PMID41164365
PMCPMC12558789

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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.