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

Farrand equation fiber water absorption wheat

Journal

Cereal chemistry
ISSN: 0009-0352
Titre abrégé: Cereal Chem
Pays: United States
ID NLM: 16110460R

Informations de publication

Date de publication:
Historique:
received: 15 04 2020
revised: 10 06 2020
accepted: 18 06 2020
entrez: 12 10 2020
pubmed: 13 10 2020
medline: 13 10 2020
Statut: ppublish

Résumé

The 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. We 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. The 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. The study dissects the contributions of AX amount and composition to WA and demonstrates a contribution of b-glucan for the first time.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
The 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.
FINDINGS RESULTS
We 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.
CONCLUSIONS CONCLUSIONS
The 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 UNASSIGNED
The study dissects the contributions of AX amount and composition to WA and demonstrates a contribution of b-glucan for the first time.

Identifiants

pubmed: 33041348
doi: 10.1002/cche.10316
pii: CCHE10316
pmc: PMC7540380
doi:

Types de publication

Journal Article

Langues

eng

Pagination

940-948

Informations de copyright

© 2020 The Authors. Cereal Chemistry published by Wiley Periodicals LLC on behalf of Cereals & Grains Association.

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Auteurs

Alison Lovegrove (A)

Rothamsted Research Harpenden UK.

Abigail J Wood (AJ)

Rothamsted Research Harpenden UK.

Kirsty L Hassall (KL)

Rothamsted Research Harpenden UK.

Liz Howes (L)

Heygates Ltd. Bugbrooke Mills Northampton UK.

Mervin Poole (M)

Heygates Ltd. Bugbrooke Mills Northampton UK.

Paola Tosi (P)

School of Agriculture, Policy and Development University of Reading Whiteknights Campus Reading UK.

Peter Shewry (P)

Rothamsted Research Harpenden UK.
School of Agriculture, Policy and Development University of Reading Whiteknights Campus Reading UK.

Classifications MeSH