Genetic diversity in Australian Cedar genotypes selected by mixed models

The increasing demand for raw material for multiple uses of forest products and by-products has attracted the interest for fast growing species, such as the Australian Cedar (Toona ciliata), which presents high productive and economic potential. The present work aimed at estimating genetic diversity by DNA markers and morphological traits supported for the mixed models. The following traits were measured and genotypes were sampled randomly in different areas: diameter at breast height, height, cylindrical volume, diameter, distance between nodes and crown diameter. Twelve RAPD primers were used and generated a total of 91 marks, 82 of which were polymorphic. The high percentage of polymorphic markers, 90.10%, demonstrated that discrimination in this species is efficient, but it yet little studied, for this case we can find the extent of the genetic basis for the application of technical improvement. The assessment of genetic diversity by the UPGMA method using the binary and morphological data provided the expression of genetic dissimilarities among the accessions evaluated, optimizing the perception of this divergence. The use of mixed models was efficient to assess combined genetic diversity to optimize the selection of genotypes with divergent genetic values for diameter at breast height.

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Main Authors: Tavares,Rulfe, Viana,Alexandre Pio, Barroso,Deborah Guerra, Amaral Júnior,Antonio Teixeira do
Format: Digital revista
Language:English
Published: Editora da UFLA 2012
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542012000200005
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spelling oai:scielo:S1413-705420120002000052012-05-22Genetic diversity in Australian Cedar genotypes selected by mixed modelsTavares,RulfeViana,Alexandre PioBarroso,Deborah GuerraAmaral Júnior,Antonio Teixeira do Molecular markers genetic values woody plant The increasing demand for raw material for multiple uses of forest products and by-products has attracted the interest for fast growing species, such as the Australian Cedar (Toona ciliata), which presents high productive and economic potential. The present work aimed at estimating genetic diversity by DNA markers and morphological traits supported for the mixed models. The following traits were measured and genotypes were sampled randomly in different areas: diameter at breast height, height, cylindrical volume, diameter, distance between nodes and crown diameter. Twelve RAPD primers were used and generated a total of 91 marks, 82 of which were polymorphic. The high percentage of polymorphic markers, 90.10%, demonstrated that discrimination in this species is efficient, but it yet little studied, for this case we can find the extent of the genetic basis for the application of technical improvement. The assessment of genetic diversity by the UPGMA method using the binary and morphological data provided the expression of genetic dissimilarities among the accessions evaluated, optimizing the perception of this divergence. The use of mixed models was efficient to assess combined genetic diversity to optimize the selection of genotypes with divergent genetic values for diameter at breast height.info:eu-repo/semantics/openAccessEditora da UFLACiência e Agrotecnologia v.36 n.2 20122012-04-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542012000200005en10.1590/S1413-70542012000200005
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Tavares,Rulfe
Viana,Alexandre Pio
Barroso,Deborah Guerra
Amaral Júnior,Antonio Teixeira do
spellingShingle Tavares,Rulfe
Viana,Alexandre Pio
Barroso,Deborah Guerra
Amaral Júnior,Antonio Teixeira do
Genetic diversity in Australian Cedar genotypes selected by mixed models
author_facet Tavares,Rulfe
Viana,Alexandre Pio
Barroso,Deborah Guerra
Amaral Júnior,Antonio Teixeira do
author_sort Tavares,Rulfe
title Genetic diversity in Australian Cedar genotypes selected by mixed models
title_short Genetic diversity in Australian Cedar genotypes selected by mixed models
title_full Genetic diversity in Australian Cedar genotypes selected by mixed models
title_fullStr Genetic diversity in Australian Cedar genotypes selected by mixed models
title_full_unstemmed Genetic diversity in Australian Cedar genotypes selected by mixed models
title_sort genetic diversity in australian cedar genotypes selected by mixed models
description The increasing demand for raw material for multiple uses of forest products and by-products has attracted the interest for fast growing species, such as the Australian Cedar (Toona ciliata), which presents high productive and economic potential. The present work aimed at estimating genetic diversity by DNA markers and morphological traits supported for the mixed models. The following traits were measured and genotypes were sampled randomly in different areas: diameter at breast height, height, cylindrical volume, diameter, distance between nodes and crown diameter. Twelve RAPD primers were used and generated a total of 91 marks, 82 of which were polymorphic. The high percentage of polymorphic markers, 90.10%, demonstrated that discrimination in this species is efficient, but it yet little studied, for this case we can find the extent of the genetic basis for the application of technical improvement. The assessment of genetic diversity by the UPGMA method using the binary and morphological data provided the expression of genetic dissimilarities among the accessions evaluated, optimizing the perception of this divergence. The use of mixed models was efficient to assess combined genetic diversity to optimize the selection of genotypes with divergent genetic values for diameter at breast height.
publisher Editora da UFLA
publishDate 2012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542012000200005
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AT vianaalexandrepio geneticdiversityinaustraliancedargenotypesselectedbymixedmodels
AT barrosodeborahguerra geneticdiversityinaustraliancedargenotypesselectedbymixedmodels
AT amaraljuniorantonioteixeirado geneticdiversityinaustraliancedargenotypesselectedbymixedmodels
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