Genotype by environment interactions affecting grain sorghum. I. Characteristics that confound interpretation of hybrid yield
By Scott C. Chapman, Mark Cooper, D. Butler, R. Henzell. 2000
102 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/f56f41b152d1cd054d2548d71af01ffd8efa9cdb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Scott C. Chapman
- Mark Cooper
- J. Schussler
- M. Bänziger
- C. Messina
- R. A. Fischer
- Karine Chenu
- Graeme L. Hammer
In Plant Science
- Scott C. Chapman
- Mark Cooper
- C. Messina
- M. Bänziger
- J. Schussler
- Steve Paszkiewicz
- Graeme L. Hammer
- Karine Chenu
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).”
- Industry-Scale Evaluation of Maize Hybrids Selected for Increased Yield in Drought-Stress Conditions of the US Corn Belt (2015, methodology): “The degree of water deficit was quantified using the water supply/demand ratio methodology introduced by Muchow et al. (1996) and used by Chapman et al. (2000), Chenu et al. (2011), Hammer et al. (2014) and Harrison et al. (2014).”
- 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.”