Evidence map›Paper›PMID 33925439›Full record

ArticleAnimals : an open access journal from MDPI2021

The Optimal Valine to Lysine Ratio for Performance Parameters in Weaned Piglets.

Diana Siebert, Daulat Rehman Khan, David Torrallardona

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The biological functions and metabolic pathways of valine in swine.Journal of animal science and biotechnology · 2023
    Review
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

3 authors at 1 institution in 1 country.

Diana SiebertCJ Europe GmbH, 60549 Frankfurt am Main, Germany.ORCID 0000-0002-9905-2980
Daulat Rehman KhanCJ Europe GmbH, 60549 Frankfurt am Main, Germany.ORCID 0000-0002-9443-6053
David TorrallardonaInstitute of Agrifood Research & Technology (IRTA), 43120 Constantí (Tarragona), Spain.ORCID 0000-0001-7814-2939
Institute of Agrifood Research and Technology · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal digestible (d) Valine (Val) to d Lysine (Lys) ratio (dVal:dLys) in weaned piglets was determined using two different regression models. A total of 200 piglets were allotted to five feeding groups and fed a corn-soybean meal based basal diet supplemented with consecutive increasing amounts of crystalline L-valine in order to reach dVal:dLys of 0.59, 0.63, 0.67, 0.71, 0.75 in the pre-starter (0-13 days) and 0.57, 0.62, 0.66, 0.70, 0.75 in the starter phase (13-43 days). In the starter phase and during the whole period, supplementing the basal diet with L-valine resulted in an improvement in body weight gain and feed intake. An exponential asymptotic (EA) and a curvilinear-plateau (CLP) regression model were fit to feed intake and body weight gain data. The estimated dVal:dLys for body weight gain was found to be 0.68 (EA, 95% of maximum response) and 0.67 (CLP) in the starter phase and 0.65 (EA, 95% of maximum response and CLP) in the total trial period. It is concluded that the supplementation of a valine-deficient basal diet for weaned piglets with L-valine improves the piglet's weight gain and feed intake and that a dVal:dLys of 0.68 is recommended to optimize body weight gain.

Indexed as

curvilinear-plateauexponential asymptoticideal amino acid ratiosrequirementsvalineweaned piglet

Identifiers

PMID33925439
PMCPMC8144975
OpenAlexW3158151219

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.