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This article in CS

  1. Vol. 34 No. 1, p. 192-198
     
    Received: Aug 24, 1992
    Published: Jan, 1994


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doi:10.2135/cropsci1994.0011183X003400010034x

Models for Predicting the Lower Limit of the Canopy-Air Temperature Difference of Two Cool Season Grasses

  1. D. L. Martin,
  2. D. J. Wehner  and
  3. C. S. Throssell
  1. D ep. Horticulture and Landscape Architecture, Oklahoma State Univ., Stillwater, OK 74078-0511
    D ep. of Horticulture, Univ. of Illinois, 1201 S. Dorner Dr., Urbana, IL 61801
    D ep. of Agronomy, Purdue Univ., West Lafayette, IN 47907

Abstract

Abstract

Estimation of the lower limit of the canopy-air temperature differential, (Tc−Ta)LL, is required for calculation of an empirically-based crop water stress, index. This research determined the complexity of model needed for accurate estimation of (Tc −T a)LL for several field grown cultivars of Kentucky bluegrass (Poa pratensis L.) and for creeping bentgrass (Agrostis stolonifera L. var. palustris (Huds.) Farw.). Regression models using vapor pressure deficit of the air (VRD), net radiation load (Rn), and wind speed (WS) were developed for predicting (Tc −T a)LL. The best one to three-variable regression models for predicting (Tc −T a)LL used variable groups of VPD (r2 = 0.47); VPD and Rn (R2 = 0.66); and VPD, Rn, and WS (R2 = 0.82). Models developed for predicting (Tc −T a)LL on individual Kentucky bluegrass cultivars, across Kentucky bluegrass, and across both species were tested on a validation data set. Models using only VPD accounted for <2% of variation in actual (Tc −T a)LL of nonwater-stressed turf. Models using VPD and Rn developed from pooled Kentucky bluegrass data, individual Kentucky bluegrass cultivars, or Kentucky bluegrass and creeping bentgrass data accounted for an average of 15, 13, and 14% of variation in actual (Tc −T a)LL, while models using VPD, Rn, and WS accounted for an average of 62, 62, and 64%, respectively. On creeping bentgrass, the Kentucky bluegrass model and dual species model introduced a large amount of bias to predicted (Tc −T a)LL. At sites where environmental conditions are highly variable, the effects of VPD, Rn, and WS must be taken into account to accurately predict (Tc −T a)LL of turfgrass. A single model appears appropriate for prediction of (Tc −T a)LL across Kentucky bluegrass cultivars; a separate model for creeping bentgrass is required.

Contribution of the Illinois Agric. Exp. Stn.

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