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Topics covered are statistical axioms, plot technique, experiment selection, block experiment designs, row-column experiment designs, unreplicated or screening experiment designs, exploratory model selection, multi-site/year trials, nd parsimonious experiment designs. In line with the axiom design for the experiment, do not experiment for the design, two simple methods for constructing block experiment designs are described. In addition, a software toolkit for constructing optimal or near optimal randomized plans of experiment designs for many situations is discussed. The effect of response model selection is illustrated with examples. Several suggestions for increasing the efficiency of a plant breeding program are given. Augmented and parsimonious experiment designs can be utilized to increase the efficiency of plant breeding program. Some remarks on the construction of these designs are given. Abstract ON THE DESIGN AND ANALYSIS OF FIELD EXPERIMENTSON THE DESIGN AND ANALYSIS OF FIELD EXPERIMENTS
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