Open AccessPhenotypic characterization and relatedness of maize inbred lines
Author(s) -
Vojka Babić,
Milosav Babić,
Milomir Filipović,
Nenad Delić,
Violeta Andjelković
Publication year - 2008
Publication title -
genetika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.24
H-Index - 15
eISSN - 1820-6069
pISSN - 0534-0012
DOI - 10.2298/gensr0803227b
Subject(s) - inbred strain , biology , selection (genetic algorithm) , hybrid , concordance , cluster (spacecraft) , evolutionary biology , genetics , artificial intelligence , computer science , agronomy , gene , programming language
Clear description of maze is useful in planning crosses for hybrids, in classifying inbreds to heterotic groups, and in the plant variety protection. The objection to visual assessment of morphological traits is its subjectivity. But it can be very useful for plant breeders especially when they work with a material of unknown genetic origin. The phenotypic characterization (30 traits) of 45 inbred lines according to the UPOV Descriptor, with a known pedigree, is used with the main goal to investigate a possibility of exploiting such a kind of information for the classification of inbred lines in homogenous groups according to their relatedness. Ward's method of cluster analysis had the best concordance with pedigree data. This method divided 45 inbreds into two large clusters, each of them containing two subclusters. Quality of the cluster analysis with four groups was tested by the discrimination analysis. All of the tree discrimination functions were significant and enclosed 64%, 20% and 16% of variance, respectively. In plant breeding such information can be useful for a more precise description of existing heterotic groups, as well as, for grouping lines of unknown genetic origin. On the basis of obtained grouping, the decision on their crossing can be made. Hence they either should be crossed to related (F2 populations for a new selection) or unrelated materials (testing of combining abilities)