Evidence map›Paper›PMID 33041348›Full record

ArticleCereal chemistry

The contribution of fiber components to water absorption of wheat grown in the UK.

Alison Lovegrove, Abigail J Wood, Kirsty L Hassall, Liz Howes, Mervin Poole, Paola Tosi, Peter Shewry

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Article in Cereal chemistry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Challenges to Increasing Dietary Fiber in White Flour and Bread.Journal of agricultural and food chemistry · 2024
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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

7 authors.

Alison LovegroveRothamsted Research Harpenden UK.ORCID https://orcid.org/0000-0001-9976-2299
Abigail J WoodRothamsted Research Harpenden UK.
Kirsty L HassallRothamsted Research Harpenden UK.
Liz HowesHeygates Ltd. Bugbrooke Mills Northampton UK.
Mervin PooleHeygates Ltd. Bugbrooke Mills Northampton UK.
Paola TosiSchool of Agriculture, Policy and Development University of Reading Whiteknights Campus Reading UK.
Peter ShewryRothamsted Research Harpenden UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe water absorption (WA) of white wheat flour is a major factor affecting processing quality, and millers, therefore, process their wheat to achieve the required level. Although it is likely that WA is determined by the amounts and compositions of three major grain components, starch, protein, and arabinoxylan, the contribution of the latter is not agreed and not recognized in the widely used Farrand equation.

findingsWe have measured a range of parameters related to fiber amount and composition and tested the ability of these to improve the prediction of WA using a modified Farrand equation. The addition of a range of single fiber traits improved the prediction of WA from a baseline of 82.98% to a maximum of 86.78%, but inclusion of all fiber traits as PCs resulted in a further improvement to 90%. Inclusion of the PCs also accounted for variation in WA between harvest years. The greatest improvement from inclusion of a single trait was observed with β-glucan, the inclusion of arabinogalactan peptide (AGP) also resulted in improved prediction of WA.

conclusionsThe study shows that fiber components contribute to variation in WA, including differences between harvest years, but that β-glucan and AGP have similar or greater impacts than AX. SIGNIFICANCE AND NOVELTY: The study dissects the contributions of AX amount and composition to WA and demonstrates a contribution of b-glucan for the first time.

Indexed as

Farrand equationfiberwater absorptionwheat

Identifiers

PMID33041348
PMCPMC7540380

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Registered trials

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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.