Evidence map›Paper›PMID 39409713›Full record

ArticleAnimals : an open access journal from MDPI2024

Determination and Prediction of Amino Acid Digestibility in Rapeseed Cake for Growing-Finishing Pigs.

Hui Tang, Ganyi Feng, Jingfeng Zhao, Qing Ouyang, Xiaojie Liu, Xianji Jiang, Menglong Deng, Zhengjun Xie, Fengming Chen, Xihong Zhou and 2 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. 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

12 authors.

Hui TangHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0009-0005-6838-982X
Ganyi FengKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Jingfeng ZhaoHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Qing OuyangHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Xiaojie LiuHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Xianji JiangHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Menglong DengHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Zhengjun XieTwins Group Co., Ltd., Nanchang 330096, China.
Fengming ChenHunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha 410129, China.ORCID 0000-0002-2448-819X
Xihong ZhouKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.ORCID 0000-0002-0007-3504
Rui LiHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0001-5931-1928
Yulong YinHunan Co-Innovation Center of Animal Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Funding

Major Science and Technology Special Program of Yunnan Province 202202AE090032National Key Research and Development Program of China 2021YFD1300201National Key Research and Development Program of China 2021YFD1301004Natural Science Foundation of Hunan Province 2022JJ40532Open Fund of Key Laboratory of Agroecological Processes in Subtropical Region, Chinese Acad-emy of Sciences ISA2023201Open Fund of Key Laboratory of Agroecological Processes in Subtropical Region, Chinese Academy of Sciences ISA2021103the cooperation project between institutions and enterprises E241020501
6 · The paper itself

Abstract

objectiveThe experiment was conducted to determine the apparent or standardized ileal digestibility (AID or SID) of crude protein (CP) and amino acids (AA) in 10 rapeseed cake samples fed to pigs, and to construct predictive models for the SID of CP and AA based on the chemical composition of rapeseed cakes.

methodsTwenty-two cannulated pigs (initial body weight: 39.8 ± 1.2 kg) were assigned to two 11 × 3 incomplete Latin square designs, including an N-free diet and 10 diets containing rapeseed cake. Each experimental period included 5 days of adaptation and 2 days of ileal digesta collection. Titanium dioxide (TiO

resultsThe coefficients of variation (CV) of the content of crude fat (EE), crude fiber (CF), neutral detergent fiber (NDF), acid detergent fiber (ADF), and total glucosinolates (TGS) in 10 samples of rapeseed cake were greater than 10%. The standardized ileal digestibility (SID) of crude protein (CP), lysine (Lys), methionine (Met), threonine (Thr), and tryptophan (Trp) in rapeseed cake was 73.34% (61.49 to 81.12%), 63.01% (41.41 to 73.10%), 69.47% (50.55 to 88.16%), 79.61% (74.41 to 87.58%), and 94.43% (91.34 to 97.20%), respectively. The best prediction equations for SID

conclusionOverall, great variation exists among the 10 rapeseed cakes, and the NDF, TGS, and heating temperature can be used as the key predictors for the SID of CP and AA.

Indexed as

amino acids digestibilityprediction modelrapeseed cake

Identifiers

PMID39409713
PMCPMC11482631

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.