Rinaldi, M., Di Paolo, E., Richter, G.M. and Payne, R.W. (2005) Modeling the Effect of Soil Moisture on Germination and Emergence of Wheat and Sugar Beet with the Minimum Number of Parameters. Annals of Applied Biology, 147, 69-80.
http://dx.doi.org/10.1111/j.1744-7348.2005.00018.x

has been cited by the following article:

• TITLE: Evaluation of a Metabolic Cotton Seedling Emergence Model

  AUTHORS: Dennis C. Gitz III, Jeffrey T. Baker, James R. Mahan

  KEYWORDS: Cotton, Seed, Emergence, Degree Day, Crop Model

  JOURNAL NAME: American Journal of Plant Sciences, Vol.6 No.11, July 16, 2015

  ABSTRACT: A model for cotton seedling emergence (MaGi) based on malate synthase kinetics was evaluated. Cotton seeds were planted through the early spring and into typical planting times for the areas. Soil temperatures at seed depth were used as inputs into MaGi and a commonly used seedling emergence model based on heat unit accumulation (DD60). Time to 50% emergence was calculated and compared with predicted emergence using MaGi and DD60. MaGi yielded predictive capability without the need to resort to lengthy experimentation required by traditional methods. The results suggest that a physiological or semi-empirical approach incorporating both enzyme kinetics and whole plant temperature responses would be useful for rapidly constructing seedling emergence models.