Selection strategy for a seedling seed orchard design based on trait selection index and genomic analysis by molecular markers: a case study for Eucalyptus dunnii.
Molecular genetic analysis was applied to 162 individuals of 37 half-sib selected families belonging to six provenances of Eucalyptus dunnii Maiden in a provenance/family trial. The individuals were selected by a trait selection index and genetic diversity criteria were later applied for designing seedling seed orchards. Genetic diversity and its distribution, as well as relationships among individuals, were assessed on the basis of nine microsatellite loci and 243 amplified fragment length polymorphism markers. High diversity was found with both kinds of markers. Clear-cut genomic patterns of identification (fingerprinting) were obtained for each individual. Genetic differentiation estimates consistently showed low differentiation among provenances (R(ST1) = 0.069, theta(P) = 0.026 and F(CT) = 0.035) and great differentiation among families (R(ST2) = 0.223, theta(S) = 0.174 and F(SC) = 0.164). A high proportion of the total variation was observed within families (around 80% by both marker analyses), suggesting that orchard design should be based on individual or family selection rather than on provenance selection, and that individual ranking by both trait selection index and molecular genetic diversity criteria should be considered. A selection procedure for a seedling seed orchard design is proposed.
Zelener
Noga
N
Instituto de Recursos Biológicos, CIRN-CNIA-INTA, Castelar, Argentina.
Marcucci Poltri
Susana N
SN
Bartoloni
Norberto
N
López
Carlos R
CR
Hopp
Horacio E
HE
D016172:DNA Fingerprinting; D018744:DNA, Plant / Q000235:genetics; D005052:Eucalyptus / Q000235:genetics*; D016468:Forestry / Q000379:methods; D005819:Genetic Markers / Q000235:genetics; D014644:Genetic Variation / Q000235:genetics; D018895:Microsatellite Repeats / Q000235:genetics; D036226:Seedlings / Q000235:genetics*; D014197:Trees / Q000235:genetics*
D018744:DNA, Plant; D005819:Genetic Markers