Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models

By Fred van Eeuwijk, M. Malosetti, Xinyou Yin, Paul C. Struik, P. Stam. 2005

127 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c1dabffa212d1c7c1da0cfae4ef969fc7128b94e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Plant Science

Citations in the corpus

Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems (2005, methodology): “We conducted the simulation studies using the sorghummodule of the APSIMmodelling platform (Keating et al. 2003), which uses the generic framework outlined by Wang et al. (2002). The sorghum module has undergone extensive development to enhance its capacity to realistically simulate the interactions”
PAPER PRESENTED AT INTERNATIONAL WORKSHOP ON INCREASING WHEAT YIELD POTENTIAL, CIMMYT, OBREGON, MEXICO, 20–24 MARCH 2006 Understanding the physiological basis of yield potential in wheat (2007, background): “Interestingly, Tardieu et al. (2005) and van Eeuwijk et al. (2005) both call for an approach that operates at a level of organization above that of functional genomics – the level of integrated physiological mechanisms (meta-mechanisms) – in order to avoid the impossible complexity being uncovered…”
Divergence among species and populations of Mediterranean pines in biomass allocation of seedlings grown under two watering regimes (2011, background): “In most cases, those phenotypic changes due to genotype by environment interactions were considered as a source of error in most breeding and genetic evaluation programs, and several techniques have been developed to deal with this topic [20,38,47].”
Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution (2009, background): “Yan and Tinker (2006), Yan et al.”