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Canopy cover and leaf area index relationships for wheat, triticale, and corn
Agronomy Journal (2012)
  • David C. Nielsen
  • Juan J Miceli-Garcia, University of Nebraska-Lincoln
  • Drew J Lyon, University of Nebraska-Lincoln
The AquaCrop model requires canopy cover (CC) measurements to define crop growth and development. Some previously collected data sets that would be useful for calibrating and validating AquaCrop contain only leaf area index (LAI) data, but could be used if relationships were available relating LAI to CC. The objective of this experiment was to determine relationships between LAI and CC for corn (Zea mays L.), winter wheat (Triticum aestivum L.), and spring triticale (X Triticosecale rimpaui Wittm.) grown under dryland or very limited irrigation conditions. The LAI and CC data were collected during 2010 and 2011 at Akron, CO and Sidney, NE from two crop rotations. LAI data were obtained with a plant canopy analyzer and CC data were determined from point analysis of digital photographs taken above the crop canopy. Strong relationships were found between LAI and CC that followed the exponential rise to a maximum form. The relationship for corn was similar to a previously published relationship for LAI less than 2 m2 m-2, but predicted lower CC for greater LAI. Relationships for wheat and triticale were similar to each other. Predicted values of CC for both wheat and triticale were greater than CC predicted for corn at any given LAI value. The relationships defined in this paper will be useful for making additional existing data sets available for modeling with AquaCrop and can also be used as a low cost method to predict LAI from CC measurements made with an inexpensive digital camera.
  • wheat,
  • corn,
  • triticale,
  • canopy cover,
  • leaf area
Publication Date
Citation Information
David C. Nielsen, Juan J Miceli-Garcia and Drew J Lyon. "Canopy cover and leaf area index relationships for wheat, triticale, and corn" Agronomy Journal Vol. 104 (2012) p. 1569 - 1573
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