A simulation analysis that predicts the influence of physiological traits on the potential yield of wheat

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Genetic basis of yield as viewed from a crop physiologist's perspective (2003, background): “It may be possible using such models (Aggarwal et al., 1997; Asseng et al., 2002) to manipulate certain coefficients beyond those combinations currently available in known germplasm and to identify which traits breeders should target in order to achieve breeding objectives (Boote et al., 2001).”
Model-assisted phenotyping and ideotype design (2015, background): “The foremost expectation of ecophysiological models is the simulation of genotypic variation in different environments and to capture G × e × m interactions (Box 14.1) (asseng et al., 2002; Boote et al., 2003; Chapman et al., 2003; Hoogenboom and White, 2003).”
Effect of foliar application of N and humic acids on growth and yield of durum wheat (2005, background): “The negative correlation between kernel number and kernel weight indicated a lack of feedback between the sink and photosynthetic rates (Asseng et al., 2002).”
Simulation-based analysis of effects of Vrn and Ppd loci on flowering in wheat (2008, background): “Given the large number of wheat models available (e.g., Grant et al., 2001; Jamieson et al., 1998; Asseng et al., 2002 ), it seemed desirable to develop a gene-based estimator of cultivar-specifi c model parameters, rather than a single gene-based wheat model (White, 2006).”