Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields.

By Scott C. Chapman, Mark Cooper, Graeme L. Hammer, D. Butler. 2000

179 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cdac9e3f5c9a586c4ebf388d3708f489cfe1cdbe

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In Genetics

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Citations in the corpus

Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials (2008, methodology): “Studies of long-term multi-environment trials In one of the examples in the Wrst section of this paper, Chapman et al. (2000a) reported on variation in genotypic and GEI variance components over years of multi-environment trials.”
Seasonal and Inter-Annual Climate Forecasting: The New Tool for Increasing Preparedness to Climate Variability and Change In Agricultural Planning And Operations (2005, methodology): “Using a simulation model for sorghum, Chapman et al. (2000a) characterised the stress environments for each location and season (eg.”
Adaptation of wheat, barley, canola, field pea and chickpea to the thermal environments of Australia (2015, background): “2013), sorghum (Chapman et al. 2000), field pea (Sadras et al.”
Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects (2003, methodology): “…data from different environ- characterize the degree of stress and frequency of occurrence of three drought stress environment types across a sample ofments by their expected frequency in the TPE can be locations and years (Chapman et al., 2000a, 2002a).used to improve the efficiency of selection.”
Crop design for specific adaptation in variable dryland production environments (2014, methodology): “The frequency with which particular environment types occur in the target production region is critical to the unravelling of genotype-by-management-by-environment (G M E) interactions and the design of crop-improvement strategies (Chapman et al. 2000; Chenu et al. 2011).”