Physiology and modelling of traits in crop plants: implications for genetic improvement

191 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The DSSAT cropping system model (2003, methodology): “The contents of such a dataset have been defined based on efforts by workers in IBSNAT and ICASA (Jones et al., 1994; Hunt and Boote, 1998; Hunt et al., 2001), and are shown in Table 7.”
Potential benefits of drought and heat tolerance in groundnut for adaptation to climate change in India and West Africa (2014, methodology): “Plant growth simulation models can be used to assess crop growth and yield advantages due to new technologies in different environments by using environment-specific weather, soil and agronomic management data (Boote et al. 2001, 2003).”
Is Cassava the Answer to African Climate Change Adaptation? (2012, background): “This suitability rating is related with agricultural yields, although the relationship is difficult to capture (Ramirez-Villegas et al., 2011), partly because it is fairly dependent on the strength of the climate signal in agricultural yields (which is not always high).”
Designing future barley ideotypes using a crop model ensemble (2017, methodology): “For example, the representation of the complex interactions between traits and between processes is not yet fully understood and therefore not completely represented in current crop models (Boote et al., 2001).”
Model-assisted phenotyping and ideotype design (2015, background): “robust modeling requires parameters to be constant under a wide range of environmental conditions (Boote et al., 2001; Tardieu, 2003).”