A comparison of selected analyses for estimating environmental variation in early generations and advanced lines of wheat (Triticum aestivum L. em thell) Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/cz30px158

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  • This investigation was motivated by the introduction of the new nearest neighbour analyses which reportedly provided a better control of soil gradients than conventional experimental methods. Three nearest neighbour analyses and six other analyses were compared with the completely randomized design or the randomized complete block design in reducing the experimental error. In Fl and F2 generations none of the analyses when compared with randomized complete block design provided a better control of error for plant height evaluation. For grain yield modest increases in efficiency were observed in weighted nearest neighbour analysis in Fl generation (116%) and F2 generation (109%) at Rugg Farm when compared to randomized complete block design (100%). Iterated nearest neighbour analysis (108%) and moving mean covariance analysis (109%) also showed increases in efficiency for the evaluation of F2 generation at Rugg Farm over randomized complete block design. Moving mean covariance analysis appeared more consistent in reducing error for the evaluation of F5 lines in unreplicated yield trials with the efficiency ranging from 122 to 212% when compared to completely randomized design (100%). Recently proposed weighted nearest neighbour analysis proved to be more efficient at Sherman Station, which was the most variable of the experimental sites. Augmented design was more efficient at Rugg Farm site where blocks matched field patterns. In the evaluation of 32 advanced selection replicated yield trials, the highest average efficiency was recorded for iterated nearest neighbour analysis (128%) and weighted nearest neighbour analyis (122%). Iterated nearest neighbour analysis, weighted nearest neighbour analysis, moving mean covariance analysis and weighted Papadakis method proved useful in the evaluation of advanced selection trials particularly in trials with correlation of adjacent plot residuals were greater than 0.4 and in trials where entries number was greater than 40.
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