Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments

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

115 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Plant Science

View Paper: https://www.semanticscholar.org/paper/54df8cf20ed082f9fdd619fda080f8cd96c59c87

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Citations in the corpus

Breeding for low input conditions and consequences for participatory plant breeding examples from tropical maize and wheat (2004, background): “…with an understanding of the structure of the target population of environments, including a quantification of the frequencies of occurrence of the different types of environments encountered (Chapman et al., 2000c; Cooper & Hammer 1996b; Podlich et al., 1999; Schlichting & Pigliucci, 1998).”
APSIM - Evolution towards a new generation of agricultural systems simulation (2014, methodology): “Such characterisation of the target population of environments has been performed using APSIM for crops such as sorghum, maize, wheat, and field pea, grown in drought prone environments in Australia, Europe, and India (Chapman et al., 2000; Chenu et al., 2011, 2013a; Kholova et al., 2013; Sadras et ”
Characterization of the main chickpea cropping systems in India using a yield gap analysis approach (2018, methodology): “Crop simulations have been used to classify the crop production regions into a “target populations of environment” suggested by Cooper et al. (1997), Chapman et al. (2000), Chenu et al. (2011), i.e. homogeneous system units with high degree of environment-managementsocioeconomic similarities which…”
Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction (2014, methodology): “In all three examples (Chapman et al. 2000; Löffler et al. 2005; Chenu et al. 2011; Figs 7, 8), the challenges associated with conducting METs in a finite number of years to predict genotype trait performance in the TPE, or at least the following sequence of years, are emphasised.”
Interactions between water and nitrogen in Australian cropping systems: physiological, agronomic, economic, breeding and modelling perspectives (2016, background): “The pioneering work of Chapman et al. (2000) modelled the patterns of water supply : demand ratio for sorghum in northern Australia.”
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.”