Mixed models including environmental covariables for studying QTL by environment interaction

By M. Malosetti, Jordi Voltas, Ignacio Romagosa, S. E. Ullrich, Fred van Eeuwijk. Euphytica, 2004

157 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/e68b05ca387ba102791cd16fdd072a97fb8d27b8

How researchers see this paper

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

In Genetics

1. Yunbi Xu
2. R. A. Fischer
3. J. Crouch
4. M. Malosetti
5. Fred van Eeuwijk
6. M. Sorrells
7. Jean-Luc Jannink

In Plant Science

1. Yunbi Xu
2. R. A. Fischer
3. P. Stam
4. Paul C. Struik
5. J. Crouch
6. Xinyou Yin
7. M. Malosetti
8. Fred van Eeuwijk

Citations in the corpus

• 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): “…for example with the results of quantitative trait loci (QTL) analyses being applied to descriptors of genotype interaction with environment, as measured by less complex traits like phenology (Yin et al. 2005) or leaf growth (Tardieu et al. 2005), or even yield itself (Malosetti et al. 2004).”
• Marker-Assisted Selection in Plant Breeding: From Publications to Practice (2008, methodology): “Vargas et al. (2006) and Malosetti et al. (2004) developed factorial regression methods for mapping QTL and QEI using external environmental variables such as maximum and minimum temperatures.”
• Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models (2005, methodology): “A linkage disequilibrium approach to QTL mapping The success of the approximate 2-step approaches to combined QTL-eco-physiological modelling of Reymond et al. (2003) and Yin et al. (2005), and the 1-step approaches discussed by Ma et al. (2002), Malosetti et al. (2004) , and M. Malosetti and F. A.”
• A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.) (2008, unknown): “Multitrait or multi-environment QTL mapping approaches have been presented in the literature (Jiang and Zeng 1995; Knott and Haley 2000; Piepho 2000; Verbyla et al. 2003; Malosetti et al. 2004; Emrich et al. 2007; Boer et al. 2007).”