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This article in CS

  1. Vol. 47 No. 4, p. 1518-1529
     
    Received: June 13, 2006
    Published: July, 2007


    * Corresponding author(s): m-balota@tamu.edu
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doi:10.2135/cropsci2006.06.0383

Canopy Temperature Depression Sampling to Assess Grain Yield and Genotypic Differentiation in Winter Wheat

  1. Maria Balota *a,
  2. William A. Paynea,
  3. Steven R. Evettb and
  4. Mark D. Lazara
  1. a Texas Agricultural Experiment Station, 2301 Experiment Station Rd, Bushland, TX 79012
    b USDA-ARS Conservation and Production Research Lab., Bushland, TX. Mention of a trade name or product does not constitute endorsement to the exclusion of other products that may be also suitable

Abstract

Canopy temperature depression (CTD = air temperature [Ta] – canopy temperature [Tc]) has been used to estimate crop yield and to rank genotypes for tolerance to heat and drought, but when to measure CTD for breeding selection has seldom been addressed. Our objectives were to evaluate the suitability of CTD for the Texas High Plains environment and to determine optimal measurement times in relation to growth stage, time of day, and weather. Three years of CTD and weather data were used to assess regression models of grain yield in three wheat (Triticum aestivum L.) lines. Under dryland agriculture, long-term mean CTD at noon and yield were correlated in 2000 and 2001. The relation of short-term CTD readings to grain yield was highly variable. Poor correlation was associated with days of low solar irradiance, high wind speed, and rain events. Genotype effects on CTD were detected for all hours of day and night. Genotype × hour interaction was insignificant at night, suggesting that nighttime measurements may provide more stable conditions for CTD comparison among genotypes. In general, tree regression assessed grain yield from short-term CTD measurements better than linear regression and suggested that the best times to measure CTD were 0900, 1300, and 1800 h. Tree regression models provided a heuristic interpretation of crop water status under different scenarios of soil water availability.

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Copyright © 2007. Crop Science Society of AmericaCrop Science Society of America