DOI: 10.1094/CC-83-0447 |  VIEW ARTICLE

Explaining Rice Milling Quality Variation Using Historical Weather Data Analysis.

N. T. W. Cooper (1), T. J. Siebenmorgen (1,3), P. A. Counce (2), and J.-F. Meullenet (1). (1) Graduate assistant, university professor, and associate professor, respectively, Department of Food Science, University of Arkansas, 2650 N. Young Avenue, Fayetteville, AR, 72704. (2) Professor, Department of Crop Science, University of Arkansas Rice Research and Extension Center, Stuttgart, AR. (3) Corresponding author. E-mail: <tsiebenm@uark.edu> Cereal Chem. 83(4):447-450. Accepted April 6, 2006. Copyright 2006 AACC International, Inc.

Rice quality, specifically head rice yield (HRY), can vary inexplicably from one lot to another, and from year to year. In an effort to correlate air temperatures during various growth stages to HRY, growth staging data expressed in degree day units was used to predict the occurrence of sequential growth stages within a set of 17-year historical data, which included HRY and 50% heading dates for two long-grain rice cultivars, (Oryza sativa L) Newbonnet and Lemont, and area weather data. HRY was most strongly affected by the average daily low temperature (or nighttime temperature) during the R8 developmental stage. Lower HRY were associated with high nighttime air temperatures during this stage for both Newbonnet and Lemont. When used as a single variable in a regression model, the nighttime temperature during the R8 developmental stage explained over 25% of the variation in HRY.