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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Publications at this Location » Publication #370624
Research Project: Gene Discovery and Crop Design for Current and New Rice Management Practices and Market Opportunities

Location: Dale Bumpers National Rice Research Center

Title: Prediction of grain appearance traits as assessed by the USA rice industry using high throughput imaging systems

Author
item McClung, Anna
item Chen, Ming Hsuan
item JODARI, FARMAN - California Rice Research Board
item FAMOSO, ADAM - Louisiana State University Agcenter
item ADDISON, C. - Louisiana State University Agcenter
item LINSCOMBE, STEVEN - Louisiana State University Agcenter
item OTTIS, BRIAN - Rice Tec, Inc
item MOLDENHAUER, KAREN - University Of Arkansas
item WALKER, TIM - Horizon Ag-Products, Lp
item WILSON, LLOYD - Texas Agricultural Experiment Station
item MCKENZIE, KENT - California Rice Research Board

Submitted to: Rice Technical Working Group Meeting Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 12/4/2019
Publication Date: 1/6/2021
Citation: McClung, A.M., Chen, M., Jodari, F., Famoso, A.N., Addison, C.K., Linscombe, S.D., Ottis, B.V., Moldenhauer, K.A., Walker, T.W., Wilson, L.T., McKenzie, K.S. 2021. Prediction of grain appearance traits as assessed by the USA rice industry using high throughput imaging systems. Proceedings of 38th Rice Technical Working Group, February 24-27, 2020, Orange Beach, Alabama. p 180-181. Electronic Publication.

Interpretive Summary:

Technical Abstract: Grain appearance traits are important in determining the economic value of milled rice to the end user. Rice milling companies evaluate grain appearance traits for bran streaks, chalkiness, kernel color (whiteness), uniformity of grain length, and overall grain appearance to meet the specifications of their customers. This is generally a subjective assessment made by experienced industry evaluators. In some cases, an end user may request an independent determination made by federal grain inspection (FGIS) staff using their established protocols and criteria. Breeders strive to develop new rice varieties that have high grain quality that will result in greater economic value for the rice industry. However, because of the large number of genotypes that breeders evaluate each year, they prefer to use high throughput objective methods for grain quality assessment. Thus, to assure that new varieties developed by breeders meet the grain appearance standards expected by the industry, it is important to understand how the subjective methods used by grain inspection staff relate to objective methods used by rice breeding programs.