SAMPLING VARIANCE FOR MOLECULAR MARKER DATA WITH RESPECT TO GENETIC DISTANCE
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Data Set
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The sampling method was applied to a data-set generated by RFLP molecular marker analysis, representing 37 Zea maize cultivars. A total of 251 enzyme probe-combinations were used yielding a total of 1,205 scores per genotype. Genetic distance was calculated among all 37 entries from subsets of arbitrary and increasing sample size. Each score entry in the subset was selected at random from all possible scores with replacement following each selection. The variance for genetic distance was calculated among all subsets of equal size for all possible cultivar pairs. The pooled pair variance was plotted and compared to random simulation models. Additional comparisons were made contrasting closely vs. distantly related cultivars.
1994 ◽
Vol 89-89
(2-3)
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pp. 259-264
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2008 ◽
Vol 30
(10)
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pp. 1356-1362
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2014 ◽
Vol 13
(40)
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pp. 3999-4007
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