Evidence map›Paper›PMID 32704812›Full record

ArticleTranslational animal science2019

The impact of "super-dosing" phytase in pig diets on growth performance during the nursery and grow-out periods.

Cassie L Holloway, R Dean Boyd, Dean Koehler, Stacie A Gould, Qingyun Li, John F Patience

Open access · goldAbstract read
In one paragraph

Article in Translational animal science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  9. Review
  10. Article
  11. Increasing Doses of Bacterial Phytase (Animals : an open access journal from MDPI · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Article
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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 at 2 institutions in 1 country.

Cassie L HollowayDepartment of Animal Science, Iowa State University, Ames, IA.
R Dean BoydHanor Company, Franklin, KY.
Dean KoehlerVita Plus Corporation, Madison, WI.
Stacie A GouldDepartment of Animal Science, Iowa State University, Ames, IA.
Qingyun LiDepartment of Animal Science, Iowa State University, Ames, IA.
John F PatienceDepartment of Animal Science, Iowa State University, Ames, IA.
Iowa State University · USPLUS Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research indicates that "super-dosing" phytase may improve pig growth performance by improved nutrient use, although the benefits appear to be more consistent in nursery than in grow-out pigs. Therefore, two experiments were conducted to determine if performance could be improved by feeding phytase at super-dosed levels, and whether this response would be different if energy and amino acid (AA) were limiting. Experiment 1 involved 440 weaned pigs (6.27 ± 0.01 kg) in a factorial arrangement of treatments comparing the main effects of diet (positive control [PC] balanced for all nutrients vs. a negative control [NC]: 10% lower standardized ileal digestible (SID) lysine with relative reduction of all other essential AA and 1% reduced fat) and phytase levels (0 vs. 2,500 FTU Quantum Blue 5G phytase/kg). Pigs were assigned to pen according to a randomized complete block design based on body weight (BW). Feed and water were provided ad libitum across four dietary phases: 3 × 1 wk plus 1 × 2 wk. The average daily gain (ADG) and gain to feed ratio (G:F) were improved in the PC relative to the NC (

Indexed as

carcass growthphytasephytatesuper-dosing phytaseswine

Identifiers

PMID32704812
PMCPMC7200431
OpenAlexW2908202534

What OpenQuestion holds

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LicenceCC BY-NC
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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.