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This article in AJ

  1. Vol. 104 No. 6, p. 1569-1573
     
    Received: Mar 28, 2012
    Published: September 13, 2012


    * Corresponding author(s): david.nielsen@ars.usda.gov
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doi:10.2134/agronj2012.0107n

Canopy Cover and Leaf Area Index Relationships for Wheat, Triticale, and Corn

  1. David C. Nielsen *a,
  2. Juan J. Miceli-Garciab and
  3. Drew J. Lyonc
  1. a USDA-ARS Central Great Plains Research Station, 40335 County Road GG, Akron, CO 80720
    b LI-COR Biosciences, 4647 Superior Street, Lincoln, NE 68504
    c Dep. of Agronomy and Horticulture, Univ. of Nebraska, Panhandle Research and Extension Center, 4502 Ave. I, Scottsbluff, NE 69361. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. The USDA is an equal opportunity employer

Abstract

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 canopy cover (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 (×Triticosecale spp.) 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, using a plant canopy analyzer and point analysis of above-canopy digital photographs. 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 <2 m2 m−2 but predicted lower CC for greater LAI. Relationships for wheat and triticale were similar to each other.

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Copyright © 2012. Copyright © 2012 by the American Society of Agronomy, Inc.