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Genomics, Genetics, and Plant Breeding

A Private Sector Perspective

Mark Cooper*, Oscar S. Smith, Geoff Graham, Lane Arthur, Lizhi Feng and Dean W. Podlich

Pioneer Hi-Bred International Inc., 7250 N.W. 62nd Avenue, P.O. Box 552, Johnston, IA 50131, USA



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Fig. 1. Best linear unbiased predictors (BLUPs ± SE) for phenotypic performance of three traits, (a) grain yield (hybrids grown at three densities, 30, 54, and 79 thousand plants/ha, and yield per hybrid is for the density giving the highest average yield), (b) percentage of plants not root-lodged, (c) anthesis to silking interval, measured in experiments conducted from 1990 to 2002, for a sequence of commercially successful Pioneer corn hybrids taken from an ERA study (unpublished data), and (d) a plot of the inbred scores on the first two principal components from analysis of SSR molecular marker profiles of the parents of the hybrids. (OPV = open pollinated variety, DC = double cross, TC = three parent cross, TC-MSC = three parent modified single cross, SC = single cross, SC-T = single cross transgenic; SS = Stiff Stalk Synthetic inbred line, NSS = non-Stiff Stalk Synthetic inbred line). The large boundaries distinguish three main groups of lines; Old = the old inbred lines used before the formation of the heterotic groups and the other two groups represent SS and NSS inbred lines. The arrows indicate the direction of the progression of inbred improvement in the SS and NSS heterotic groups.

 


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Fig. 2. Simulation comparison of a marker-assisted (MAS) and a phenotypic (PS) selection strategy following the methods developed in Cooper and Podlich (2002). The four diagrams plot the difference between the population mean performances achieved for a quantitative trait at cycle 5 by the MAS and PS recurrent selection strategies for a large number of putative genetic architectures of a quantitative trait [normalized difference in response (MAS-PS)] against the complexity of the trait measured as an autocorrelation on a performance landscape from walks in genetic space (at the extremes the autocorrelation -> 1 represents the more simple additive genetic models and the autocorrelation -> 0 represents the more complex genetic models of the architecture of the trait). In the four subfigures, H = broad sense heritability in the base population; the percentage of QTL identified represents the percentage of the total QTL used in the MAS strategy. The large symbols represent the grand mean of the normalized difference in response between MAS and PS and the bars represent the standard deviations of the individual estimates of the normalized difference between MAS and PS.

 





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