Active sensor reflectance measurements of corn nitrogen status and yield potential

Fernando Solari, John Shanahan, Richard Ferguson, James Schepers, Anatoly Gitelson

Research output: Contribution to journalArticle

136 Scopus citations

Abstract

Active sensor reflectance assessments of corn (Zea mays L.) canopy N status are advocated to direct variable N applications and improve N use efficiency (NUE). Our goals were to determine: (i) growth stage and (ii) sensor vegetation index with greatest sensitivity in assessing N status and grain yield. Variable crop N was generated by supplying N at different amounts and times in three field studies. Chlorophyll meter (CM) and sensor data were gathered at two vegetative (V11 and V15) and two reproductive (R1 and R3) growth stages, using the Crop Circle sensor that measures reflectance in visible (590 nm) and near infrared (NIR) (880 nm) bands. Sensor data were converted to the normalized difference vegetation index (NDVI590) and chlorophyll index (CI 590) values. Grain yields were also determined. Sensor indices were more highly correlated with CM readings for vegetative vs. reproductive growth (r2 of 0.85 vs. 0.55). The CM vs. CI590 slope was over twice the NDVI590 slope value, indicating CI590 was more sensitive than NDVI590 in assessing canopy greenness. Indices did not differ in ability to distinguish yield variation. Results indicate sensor CI590 values collected during vegetative growth are best suited to direct variable N applications.

Original languageEnglish (US)
Pages (from-to)571-579
Number of pages9
JournalAgronomy Journal
Volume100
Issue number3
DOIs
StatePublished - May 2008

ASJC Scopus subject areas

  • Agronomy and Crop Science

Fingerprint Dive into the research topics of 'Active sensor reflectance measurements of corn nitrogen status and yield potential'. Together they form a unique fingerprint.

  • Cite this

    Solari, F., Shanahan, J., Ferguson, R., Schepers, J., & Gitelson, A. (2008). Active sensor reflectance measurements of corn nitrogen status and yield potential. Agronomy Journal, 100(3), 571-579. https://doi.org/10.2134/agronj2007.0244