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Additive Main Effect and Multiplicative Interaction Analysis of National Turfgrass Performance Trials

II. Cultivar Recommendations

J. S. Ebdon*,a and H. G. Gauch, Jr.b

a Dep. of Plant and Soil Sciences, 12F Stockbridge Hall, Univ. of Massachusetts, Amherst, MA 01003
b Soil, Crop, and Atmospheric Sciences, 1021 Bradfield Hall, Cornell Univ., Ithaca, NY 14853



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Fig. 1. AMMI-F predictions (means averaged over replicate) for Kentucky bluegrass turfgrass quality (for North Brunswick, NJ in 1991) versus the more predictively accurate AMMI-7 estimates and AMMI-F perennial ryegrass turfgrass quality (for Pullman, WA in 1994) versus the more predictively accurate AMMI-2 estimates. North Brunswick, NJ and Pullman, WA represent average (typical) NTEP location-year combinations. Weighted lines identify individual genotypes. Midnight Kentucky bluegrass ranks first based on AMMI-F and AMMI-7 estimates, genotype Eclipse shows a gain in quality ranking based on AMMI-7 estimates while Blacksburg shows the largest loss in ranking from 4th to 52nd (out of 125 genotypes). Lynx perennial ryegrass wins based on AMMI-F predictions while AMMI-2 ranks Prelude II first, and genotype Danilo shows the largest loss in ranking from 8th to 105th (out of the 123 genotypes).

 


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Fig. 2. Mega-environment analysis AMMI-1 predicted turfgrass quality as a function of environment (location) interaction scores for the first axis (IAS-1 scores, closed triangles) for the 1990 NTEP Kentucky bluegrass and perennial ryegrass variety trials. Mowing height decreases from left-to-right with Kentucky bluegrass IAS-1 scores (for 17 locations, see Table 4) while nitrogen fertility level decreases from left-to-right with perennial ryegrass IAS-1 scores (for 19 locations, see Table 5). Weighted lines identify a winning genotype sub-region (winning locations) while thin lines identify genotypes that never win.

 





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