Falling number of soft white wheat by near‐infrared spectroscopy: A challenge revisited-Reference-Cited by-同舟云学术

Falling number of soft white wheat by near‐infrared spectroscopy: A challenge revisited

Published:2018-04-19 Issue:3 Volume:95 Page:469-477
ISSN:0009-0352
Container-title:Cereal Chemistry
language:en
Short-container-title:Cereal Chem

Author:

Delwiche Stephen R.¹,Higginbotham Ryan W.²,Steber Camille M.³

Affiliation:

1. Food Quality Laboratory Beltsville Agricultural Research Center Agricultural Research Service USDA Beltsville Maryland

2. Cereal Variety Testing Program Washington State University Pullman Washington

3. Wheat Health, Genetics and Quality Research Unit Agricultural Research Service USDA Pullman Washington

Funder

U.S. Department of Agriculture

Washington Grain Commission

Publisher

Wiley

Subject

Organic Chemistry,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cche.10049

Reference15 articles.

1. Application of calibrations to hyperspectral images of food grains: Example for wheat falling number;Caporaso N.;Journal of Spectral Imaging,2017

2. Repeatability Precision of the Falling Number Procedure Under Standard and Modified Methodologies

3. The Effect of Temperature Shock and Grain Morphology on Alpha-amylase in Developing Wheat Grain

4. FGIS.(2013).Falling number determination for wheat. Directive 9180.38. Online publication. U.S. Department of Agriculture Grain Inspection Packers and Stockyards Administration Federal Grain Inspection Service. Retrieved fromhttp://gipsa.usda.gov/laws/directives/9180-38.pdf.

5. Higginbotham R. Jitkov V. &Horton A.(2016).WSU extension variety testing program: Cereal variety performance trials 2016 annual report. Retrieved fromhttp://smallgrains.wsu.edu/wp-content/uploads/2015/10/2016-VT-Annual-Report.pdf.

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spectroscopy‐based prediction of 73 wheat quality parameters and insights for practical applications;Cereal Chemistry;2023-11-24

2. Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models;Journal of Chemometrics;2023-10

3. An independent validation reveals the potential to predict Hagberg–Perten falling number using spectrometers;The Plant Phenome Journal;2023-05-28

4. Enhancing traceability of wheat quality through the supply chain;Comprehensive Reviews in Food Science and Food Safety;2023-04-19

5. Pre-Harvest Sprouting Tolerance in 36 Bread Wheat Genotypes;Journal of Experimental Biology and Agricultural Sciences;2022-10-31