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Agronomy Journal Abstract -

Modeling Preemergent Maize Shoot Growth: I. Physiological Temperature Conditions

 

This article in AJ

  1. Vol. 88 No. 3, p. 391-397
     
    Received: June 8, 1994


    * Corresponding author(s): keith.bristow@tvl.soils.csiro.au
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doi:10.2134/agronj1996.00021962008800030006x
  1. Karl Weaich,
  2. Keith L. Bristow  and
  3. Alfred Cass
  1. 1  Cross St., Toowong, QLD 4066, Australia
    C SIRO Div. of Soils, Davies Lab., Townsville, QLD 4814, Australia

Abstract

Abstract

Prediction of seedling emergence is an important first step in predicting crop establishment. There are numerous models that, under nonlimiting seedbed physical conditions, can adequately predict time to emergence using heat sums based on average daily temperatures. Under more adverse seedbed physical conditions, however, such as occur in the semiarid tropics, use of such coarse indices will tend to obscure the strong influence that even temporarye xtremes in soil temperature or strength can have on the time ande xtent of emergencey, yet it is in these situations that final crop establishment and ultimately yield will be particularly sensitive to emergencep redictions. Onew ay to quantify the effect that temporary extremes in seedbed conditions have on emergence is to model the emergencep rocess (namely, preemergent shoot growth). In this paper, we model preemergent maize (Zea mays L.) shoot growth as a first step in characterizing seedling response to a high soil temperature and strength environment. The model, developed from shoot length data obtained under constant temperature conditions ranging from 20 to 40°C, uses an exponential function that predicts coleoptile and first internode growth rates as a function of temperature and sums the output to predict shoot length. Comparison of model predictions with independent measurements carried out in the 20 to 40°C range show that the model is capable of accurately simulating preemergent shoot growth under conditions where (i) temperatures are constant with time, (ii) temperatures of the whole seedbedv ary diurnally, and (iii) temperaturesw ithin the seedbed vary with time and depth in the seedbed. However, the model was unable to predict shoot growth in situations where seedlings had been exposed to temperatures in excess of 40°C, indicating that further work is needed to assist modeling within the high temperature range.

Work done while the senior author was with the CSIRO, Div. of Soils, Davies Lab., Townsville, QLD 4814.

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