Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model

@inproceedings{Bogard2014PredictionsOH,
  title={Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model},
  author={Matthieu Bogard and Catherine Ravel and Etienne Paux and Jacques Bordes and François Balfourier and Scott C. Chapman and Jacques Le Gouis and Vincent Allard},
  booktitle={Journal of experimental botany},
  year={2014}
}
Prediction of wheat phenology facilitates the selection of cultivars with specific adaptations to a particular environment. However, while QTL analysis for heading date can identify major genes controlling phenology, the results are limited to the environments and genotypes tested. Moreover, while ecophysiological models allow accurate predictions in new environments, they may require substantial phenotypic data to parameterize each genotype. Also, the model parameters are rarely related to all… CONTINUE READING
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