Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-03T05:22:29.388Z Has data issue: false hasContentIssue false
  • English
  • Français

Effect of calibration practice on correction of errors induced in near-infrared protein testing of hard red spring wheat by growing location and season

Published online by Cambridge University Press:  27 March 2009

P. C. Williams  and
Helena M. Cordeiro
P. C. Williams
Affiliation:
drain Research Laboratory, Winnipeg Manitoba, Canada, RZC 308
Helena M. Cordeiro
Affiliation:
drain Research Laboratory, Winnipeg Manitoba, Canada, RZC 308
Get access Rights & Permissions [Opens in a new window]

Summary

Statistics are presented to illustrate the influence of growing season and location on the accuracy of NIR testing of hard red spring wheat for protein. The influence of season was greater than that of growing location, and highly significant errors are likely to occur if protein is predicted in samples from one growing season using a calibration based on samples from another season. The same was true to a lesser extent if samples from one growing location were analysed using calibrations based on samples drawn from different areas. There was evidence that some growing areas were less susceptible than others to the seasonal influence, whereas certain seasons (e.g. 1976) exerted more influence than others. Errors in predicting protein were considerably greater than errors in predicting moisture. The development and use of universal constants incorporating samples from a wide range of location and several seasons effectively counteracted the influences of both season and location, and universal constants have been developed for use in the NIR instruments of leading manufacturers, for hard red spring and durum wheats, and barley. The concept and principle of 2·point calibration using normalized mathematical treatment of the log 1/R signal is discussed and its efficiency in providing a stable calibration for the prediction of protein in hard red spring wheat has been demonstrated.

Type
Research Article
Information
The Journal of Agricultural Science , Volume 104 , Issue 1 , February 1985 , pp. 113 - 123
Copyright
Copyright © Cambridge University Press 1985

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Cereal Laboratory Methods. Method 44–15a. (1969). St Paul, Minnesota: The American Association of Cereal Chemists.Google Scholar
Cereal Laboratory Methods. Method 45–16. St Paul, Minnesota: The American Association of Cereal Chemists.Google Scholar
Norris, K. H. & Williams, P. C. (1984). Optimization of mathematical treatments for the measurement of protein in wheat by near-infrared reflectance spectroscopy. Cereal Chemistry 61, 158–165.Google Scholar
Symes, K. J. (1965). Inheritance of grain hardness in wheat as measured by the particle size index. Australian Journal of Agricultural Research 16, 113–124.Google Scholar
Watson, C. A., Shuey, W. G., Banasik, O. J. & Dick, J. W. (1977). Effect of wheat class on near-infrared reflectance. Cereal Chemistry 54, 1264–1269.Google Scholar
Williams, P. C. (1974). Factors influencing the testing of wheat for protein by NIBS. IV. Location and season, Presented at 59th Conference American Association of Cereal Chemists, Montreal, P.Q. 1974. Abstract no. 179, Cereal Science Today 19, 410.Google Scholar
Williams, P. C. & Cordeiro, H. M. (1981). Influence of degrading factors, dockage and variety on the measurement of protein in wheat by near-infrared reflectance. Cereal Foods World 26, 124–128.Google Scholar
Williams, P. C. & Norris, K. H. (1983). Effect of mutual interactions on the estimation of protein and moisture in wheat. Cereal Chemistry 60, 202—208.Google Scholar
Williams, P. C., Stephenson, S. G. & Irvine, G. N. (1978). Measurement of protein in HRS wheat by an automated near-infrared instrument, the A.D.A. Cereal Chemistry 55, 263–279.Google Scholar
Williams, P. C. & Thompson, B. N. (1978). Influence of wholemeal granularity on analysis of HRS wheat for protein and moisture by near-infrared reflectance spectroscopy (NIRS). Cereal Chemistry 55, 1014–1037.Google Scholar
Williams, P. C., Thompson, B. N., Wetzel, D., Loewen, D. & McLay, G., (1981). Near-infrared instruments in flow mill quality control. Cereal Foods World 26, 234–237.Google Scholar