|
|

|

|
|

|
|
DOI: 10.1094/CC-83-0284
| VIEW
ARTICLE
NOTE: Comparison of Methods for Gluten Strength Assessment.
C. S. Gaines (1,2), J. Frégeau Reid (3), C. Vander Kant (4), and C. F. Morris
(5). (1) U.S. Department of Agriculture, Agricultural Research Service, Soft
Wheat Quality Laboratory, Ohio Agricultural Research and Development Center,
Ohio State University, Wooster, OH 44691. Names are necessary to report
factually on available data; however, the USDA neither guarantees nor warrants
the standard of the product, and the use of the name by the USDA implies no
approval of the product to the exclusion of others that may also be suitable.
(2) Corresponding author. Phone: 330-263-3891. Fax: 330-263-3651. E-mail:
<gaines.31@osu.edu> (3) Grain Quality, Eastern Cereal and Oilseed Research
Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, Ontario
K1A 0C6, Canada. (4) Hyland Seeds-W.G. Thompson & Sons, P.O. Box 250, #2 Hyland
Drive, Blenheim, Ontario N0P 1A0, Canada. (5) USDA ARS Western Wheat Quality
Lab., Washington State University, E-202 FSHN - Facility East, Pullman, WA.
Cereal Chem. 83(3):284-286. Accepted January 4, 2006. This article is in the
public domain and not copyrightable. It may be freely reprinted with customary
crediting of the source. AACC International, Inc., 2006.
Five methods that employed very different testing principles and procedures for
assessing gluten quality were compared for 33 North American soft red and white
wheats. The three methods analyzed flour (alveograph work, lactic acid solvent
retention capacity, and mixograph peak time) and two methods employed ground
wheat meal (Glutomatic gluten index and SDS sedimentation volume). Compared
against the normalized mean of all five assessments, the ability of the
assessment methods to evaluate gluten quality decreased in the order: alveograph
work, lactic acid solvent retention capacity, mixograph peak time, Glutomatic
gluten index, and SDS sedimentation volume. The methods utilizing flour were
substantially superior predictive methods; however, the two meal-based methods
could be sufficient for early generation screening when flour is not available.
|
|
|
|

|
|
|