HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Gan, Y. Articles by Njue, C. Search for Related Content PubMed Articles by Gan, Y. Articles by Njue, C. Agricola Articles by Gan, Y. Articles by Njue, C.

Evaluation of Selected Nonlinear Regression Models in Quantifying Seedling Emergence Rate of Spring Wheat

Agriculture and Agri-Food Canada, Semiarid Prairie Agric. Res. Centre, Swift Current, SK, Canada S9H 3X2

Elmer H. Stobbe

Dep. of Plant Sci., Univ. of Manitoba, Winnipeg, MB, Canada R3T 2N2

Catherine Njue

Dep. of Statistics, Univ. of Manitoba, Winnipeg, MB, Canada R3T 2N2

^* Corresponding author (gan{at}skrssc.agr.ca).

Fast and uniform seedling emergence increases yield potential of spring wheat (Triticum aestivum L.) in short-season areas. An accurate method of quantifying rate of seedling emergence is needed. In this study, we compared the relative effectiveness of the Gompertz, Logistic, and Weibull models in quantifying emergence rate of spring wheat. ‘Roblin’ wheat was grown in a growth room under five soil water potential: – 0.002, – 0.165, – 0.41, – 1.00, and – 1.45 MPa. Daily-recorded emergence data were fitted to each of the models. The analyses of stability and accuracy functions, residual sum of squares, and variance showed that the Weibull model was not appropriate in quantifying rate of emergence.The Gompertaz and Logistic models functioned in a similar way with great stability and accuracy in most cases. The Gompertz predictions most closely fitted the observed set of responses with residual points scattered around zero. For lognormally distributed emergence patterns common under field conditions, the Gompertz model provided the most appropriate characterization of emergence.

Received for publication May 1, 1995.

This article has been cited by other articles:

				B. Hamman, D. B. Egli, and G. Koning Seed Vigor, Soilborne Pathogens, Preemergent Growth, and Soybean Seedling Emergence Crop Sci., March 1, 2002; 42(2): 451 - 457. [Abstract] [Full Text] [PDF]

				K. P. Smith, J. Handelsman, and R. M. Goodman Genetic basis in plants for interactions with disease-suppressive bacteria PNAS, April 27, 1999; 96(9): 4786 - 4790. [Abstract] [Full Text] [PDF]