Estimation and utilisation of glutenin gene effects from the analysis of unbalanced data from wheat breeding programs

By H. Eagles, G. Hollamby, N. Gororo, R. Eastwood. 2002

101 citations recorded by the source corpus.

How researchers see this paper

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

The successful application of a marker-assisted wheat breeding strategy (2007, methodology): “The gene estimates of Eagles et al. (2002) were used as the basis for the assumptions underpinning the ‘Annuello/2*Stylet’ simulation study, which showed substantial improvement in dough quality following the application of MAS for the desirable alleles at the Glu-D1 and GluA3 loci (Kuchel et al.…”
An integrated approach to predicting end-product quality of wheat (2006, methodology): “The method of Eagles et al (2002), applying a sophisticated statistical approach of analysis of variance, is capable to describe the effects of both HMW and LMW GS individually and the pair-wise interactions among the alleles.”
Allelic variation at the Glu-1 and Glu-3 loci, presence of the 1B.1R translocation, and their effects on mixographic properties in Chinese bread wheats (2005, background): “The effect of Glu-D3 on quality traits is less important in comparison with other loci (Gupta et al., 1994; Branlard et al., 2003; Eagles et al., 2002).”
High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy (2007, background): “However, cross prediction methods for use in inbreeding species, including wheat, have been developed (Hill et al. 2000; Eagles et al. 2002).”