Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials
By Scott C. Chapman. Euphytica, 2008
193 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/b73afbcc3088f4694c684d873172b7d9b3cf1f01
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In Genetics
- Scott C. Chapman
- Karine Chenu
- Graeme L. Hammer
- C. James
- A. Nicotra
- A. M. Davidson
- Philippe P. Debaeke
- I. Slamet-Loedin
In Plant Science
- Scott C. Chapman
- Karine Chenu
- Graeme L. Hammer
- Erik J. van Oosterom
- Arvind Kumar
- Greg McLean
- C. James
- A. Nicotra
Citations in the corpus
- Raising yield potential of wheat. III. Optimizing partitioning to grain while maintaining lodging resistance. (2011, unknown): “WSC DM/SS DM 0.24–0.43*** WW, 8 cvs UK Shearman et al. (2005)”
- APSIM - Evolution towards a new generation of agricultural systems simulation (2014, methodology): “When applied to breeding trials, environment characterisation has been demonstrated as helpful to unravel some of the G Â E Â M interactions observed across experiments (Chapman, 2008; Chapman et al., 2000; Chenu et al., 2011).”
- Global status of commercialized biotech/GM crops: 2006. (2006, background): “The combination of environmental and genetic data and crop and genetic models is now allowing the testing of genetic and physiological hypotheses in silico before a seed is planted (Chapman, 2008).”
- Adaptive phenotypic plasticity and plant water use (2010, background): “Traditionally, agricultural plant breeders have viewed plasticity as an unwanted complication (but see Johnson and Frey 1967), but perspectives on that are changing (Bradshaw 2006; Chapman 2008; Forde 2009; Sadras et al. 2009).”
- Improvement of drought resistance in rice. (2009, background): “Simulation models can also help overcome the G E limitations, by combining a mechanistic understanding of a drought trait with a range of weather scenarios (Chapman, 2008).”
- Model-assisted phenotyping and ideotype design (2015, background): “…place of choice to highlight QTL × e interactions, as they facilitate the interpretation of the G × e interactions through environmental characterization (Chapman, 2008; Chenu et al., 2011; Chapter 13) and are useful to dissect complex traits into component traits with higher heritability (Tardieu…”