Gene-to-phenotype models and complex trait genetics
By Mark Cooper, Dean W. Podlich, Oscar S. Smith. 2005
103 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/cc50e937e88458d78e3ae7a97880daa646217003
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
- Dean W. Podlich
- Fred van Eeuwijk
- M. Malosetti
- M. Dreccer
- C. Messina
- M. Howden
Citations in the corpus
- Evaluating potential genetic gains in wheat associated with stress-adaptive trait expression in elite genetic resources under drought and heat stress (2007, methodology): “Precise frameworks dealing with interactions resulting from epistasis, pleiotropy, and gene by environment interactions are required for creating reliable empirical models to predict phenotypic responses (Cooper et al., 2005).”
- Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models (2005, background): “One reason for the inadequacy of linear models would be the supposed difficulties in mutually dealing with interactions between genes and between genes and environments (Cooper et al. 2005).”
- Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction (2014, background): “Extending the fitness/adaptation landscape models of Wright (1932) and Kauffman (1993), Cooper et al. (2005) defined the yield-response surface for a reference pool of germplasm in the context of a TPE.”
- Plant adaptation to climate change—opportunities and priorities in breeding (2012, background): “The variety of options is such that breeders in several commercial and public programs have developed and applied computer simulation tools to attempt to optimise these decisions for a whole range of breeding questions (Podlich and Cooper 1998; Chapman et al. 2002; Cooper et al. 2005).”
- Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems (2005, unknown): “platform (Podlich and Cooper 1998; Cooper et al. 2005).”