Maize starch yield calibrations with near infrared reflectance

Marvin R. Paulsen, Lester O. Pordesimo, Mukti Singh, Steven W. Mbuvi, Binying Ye

Research output: Contribution to journalArticlepeer-review

Abstract

Maize starch yield is affected by variety, environmental growing conditions, and drying conditions. One-hundred gram starch yield tests that predict actual wet milling starch yield were used as a reference method for developing an extractable starch calibration on a NIRSystems Model 6500 spectrophotometer. A maize starch yield calibration was developed from 940 samples and used to predict a validation set of 304 samples. It had a standard error of prediction (SEP) of 1-06, a coefficient of determination r2 of 0.77 and a ratio of performance to deviations (rpd) of 2-1. This indicates about 95% of similar samples could have starch yield predicted by near-infrared reflectance within about ± 2.1%. The calibration should be successful in segregating maize lots for high and low starch yield percentages.

Original languageEnglish (US)
Pages (from-to)455-460
Number of pages6
JournalBiosystems Engineering
Volume85
Issue number4
DOIs
StatePublished - Aug 1 2003

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Food Science
  • Animal Science and Zoology
  • Agronomy and Crop Science
  • Soil Science

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