Expression of Variability in Corn as Influenced by Growth Stage Using Optical Sensor Measurements

Improving crop management inputs with remote sensing devices is an emerging technology. This study documented the progression of the normalized difference vegetative index (NDVI) during the life cycle of corn (Zea mays L.), evaluated the spatial variability of corn growth in terms of the CV (calculated from NDVI readings), and documented the relationships between NDVI,CV (calculated from NDVI), and grain and biomass yields and plant density. Four rows, 30 m in length, from two locations during 2 yr were randomly selected for this study. An optical sensor was used to collect NDVI readings at multiple growth stages during the life cycle of corn. The NDVI increased with progression of vegetative growth stages until V10, where a plateau was encountered, followed by a decline in NDVI after the VT growth stage. Coefficient of variation data from the NDVI readings revealed two dominant peaks during the life cycle of corn, one between the V6 and V8 growth stages and the second during the late reproductive growth stages. The CV data illustrated that the greatest variation expressed by corn during the vegetative growth stages was between the V6 and V8 growth stages. The highest correlation of NDVI with corn grain yield was found at the V7 to V9 growth stages; likewise, CV and plant density were also more highly correlated from V7 to V9. The CV from NDVI readings was highly correlated with grain and biomass yields at all growth stages.

[1]  R. Webster,et al.  The relation between reflected radiation and yield on the Broadbalk winter wheat experiment , 1990 .

[2]  D. Itenfisu,et al.  WITHIN FIELD VARIABILITY IN WHEAT GRAIN YIELDS OVER NINE YEARS IN OKLAHOMA , 2002 .

[3]  R. L. Vanderlip,et al.  Influence of Within‐row Variability in Plant Spacing on Corn Grain Yield1 , 1977 .

[4]  E. B. Knipling Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation , 1970 .

[5]  Jiyul Chang,et al.  Characterizing Water and Nitrogen Stress in Corn Using Remote Sensing , 2006 .

[6]  S. Gandia,et al.  Analyses of spectral-biophysical relationships for a corn canopy , 1996 .

[7]  F. J. Pierce,et al.  Remote Sensing of Canopy Dynamics and Biophysical Variables Estimation of Corn in Michigan , 2005 .

[8]  Gary E. Varvel,et al.  Use of Remote-Sensing Imagery to Estimate Corn Grain Yield , 2001 .

[9]  William J. Wilson,et al.  Statistical methods , 1993 .

[10]  Gerald L. Anderson,et al.  Evaluating hand‐held radiometer derived vegetation indices for estimating above ground biomass , 1992 .

[11]  W. Raun,et al.  Relationship Between Coefficient of Variation Measured by Spectral Reflectance and Plant Density at Early Growth Stages in Winter Wheat , 2006 .

[12]  William R. Raun,et al.  Improving Nitrogen Use Efficiency for Cereal Production , 1999 .

[13]  J. Hanway,et al.  How a corn plant develops [Iowa] , 1982 .

[14]  R. L. Nielsen,et al.  Stand Establishment Variability in Corn , 1993 .

[15]  Emerson D. Nafziger,et al.  Response of corn to uneven emergence , 1991 .

[16]  John B. Solie,et al.  Growth Stage, Development, and Spatial Variability in Corn Evaluated Using Optical Sensor Readings , 2005 .