Characterization of Varieties for Performance Related Aspects

Part of the Developments in Plant Breeding book series (DIPB, volume 9)


Crop physiological knowledge as embedded in computer simulation models of crop growth and development provides a theoretical framework that can be used to analyze information from multi-environment trials (METs). Their use could thus help overcome some of the difficulties associated with conventional approaches to the analyses of MET data. Here, the ‘Cropsim’ model was used to analyze the results from a multi-year study with a historic set of Cimmyt wheat cultivars. The results show that a model in which early development is split into three phases with different photoperiod sensitivity characteristics for each phase accounted well for the differences in anthesis date among recent cultivars, but not for differences among the older materials. The analysis also showed that apparent radiation use efficiency and grain set varied among years and cultivars, and that differences could not be resolved into a number of environmentally invariant characteristics. The current model thus does not incorporate all characteristics that are important for adaptation and high productivity in particular regions. The results show, however, that even now, there are opportunities to use computer simulation of crop growth to help analyze data and so impact on current crop improvement strategies.


Crop Modelling Genotype x Environment Interaction Performance Breeding Data Analysis 


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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  1. 1.Department of Plant AgricultureUniversity of GuelphCanada
  2. 2.International Maize and Wheat Improvement Centre (CIMMYT)Mexico

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