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Measuring Racial Differentiation in Maize Using Multivariate Distance Measures Standardized by Variation in F 2 Populations 1
Author(s) -
Martinez W. Orlando J.,
Goodman Major M.,
Timothy David H.
Publication year - 1983
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci1983.0011183x002300040042x
Subject(s) - biology , distance measures , genetic distance , multivariate statistics , divergence (linguistics) , euclidean distance , race (biology) , zea mays , statistics , geographical distance , mathematics , distance matrices in phylogeny , measure (data warehouse) , genetic variation , agronomy , botany , demography , population , genetics , artificial intelligence , geometry , computer science , linguistics , philosophy , sociology , gene , bioinformatics , database
Thirty F 2 maize ( Zea mays L.) populations were studied to evaluate the use of various statistical distance measurement between parents, relative to their F 2 populations, and to estimate racial differentiation between maize races. The parental and F 2 populations, obtained from crossing 47 maize races, were grown at Raleigh, N.C., or Homestead, Fla., as appropriate to their adaptation. Five morphological characters of the ear were measured. Six statistical procedures were utilized to measure racial divergence: Euclidean distance, Mahalanobi's distance, generalized distance, modified generalized distance, approximate Dempster's distance, and Dempster's distance. The relationship among the measures, their advantages in geometrical representation, and their facility of computation were discussed. The degrees of relationship estimated were in general agreement with previous studies based on classical taxonomic methods and multivariate analyses. These results suggest that morphological studies of racial F 2 populations can be useful in understanding the variability and relationship among maize races.