Escolha de caracteres para o melhoramento genético em erva-mate por meio de técnicas multivariadas
The present study was carried out to estimate some genetic parameters and apply the principal components technique as a support for selection of several traits in erva-mate. Heritability estimates were significant for most of the evaluated traits suggesting possibility of great genetic gains with...
Main Authors: | , |
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Format: | Article |
Language: | Portuguese |
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Universidade Federal de Santa Maria
2002-01-01
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Series: | Ciência Florestal |
Online Access: | http://www.redalyc.org/articulo.oa?id=53412103 |
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author | Leonardo Rosse Novaes José Sebastião Fernandes Cunha |
author_facet | Leonardo Rosse Novaes José Sebastião Fernandes Cunha |
author_sort | Leonardo Rosse Novaes |
collection | DOAJ |
description | The present study was carried out to estimate some genetic parameters and apply the principal
components technique as a support for selection of several traits in erva-mate. Heritability estimates were
significant for most of the evaluated traits suggesting possibility of great genetic gains with simple selection
techniques. The shaft height trait showed high coefficient of variation, low heritability and low correlation
with the other ones. Beside that, this trait showed to have the lowest contribution to the total variation of the
data, as demonstrated by principal components, and could be discarded. Plant height and crown diameter, on
the other hand, accounted for the most part of the detected variation. |
first_indexed | 2024-12-11T09:00:01Z |
format | Article |
id | doaj.art-84bc52a60c27466b9c56e119e8fc8f14 |
institution | Directory Open Access Journal |
issn | 0103-9954 1980-5098 |
language | Portuguese |
last_indexed | 2024-12-11T09:00:01Z |
publishDate | 2002-01-01 |
publisher | Universidade Federal de Santa Maria |
record_format | Article |
series | Ciência Florestal |
spelling | doaj.art-84bc52a60c27466b9c56e119e8fc8f142022-12-22T01:13:47ZporUniversidade Federal de Santa MariaCiência Florestal0103-99541980-50982002-01-011212127Escolha de caracteres para o melhoramento genético em erva-mate por meio de técnicas multivariadasLeonardo Rosse NovaesJosé Sebastião Fernandes CunhaThe present study was carried out to estimate some genetic parameters and apply the principal components technique as a support for selection of several traits in erva-mate. Heritability estimates were significant for most of the evaluated traits suggesting possibility of great genetic gains with simple selection techniques. The shaft height trait showed high coefficient of variation, low heritability and low correlation with the other ones. Beside that, this trait showed to have the lowest contribution to the total variation of the data, as demonstrated by principal components, and could be discarded. Plant height and crown diameter, on the other hand, accounted for the most part of the detected variation.http://www.redalyc.org/articulo.oa?id=53412103 |
spellingShingle | Leonardo Rosse Novaes José Sebastião Fernandes Cunha Escolha de caracteres para o melhoramento genético em erva-mate por meio de técnicas multivariadas Ciência Florestal |
title | Escolha de caracteres para o melhoramento genético em erva-mate por
meio de técnicas multivariadas |
title_full | Escolha de caracteres para o melhoramento genético em erva-mate por
meio de técnicas multivariadas |
title_fullStr | Escolha de caracteres para o melhoramento genético em erva-mate por
meio de técnicas multivariadas |
title_full_unstemmed | Escolha de caracteres para o melhoramento genético em erva-mate por
meio de técnicas multivariadas |
title_short | Escolha de caracteres para o melhoramento genético em erva-mate por
meio de técnicas multivariadas |
title_sort | escolha de caracteres para o melhoramento genetico em erva mate por meio de tecnicas multivariadas |
url | http://www.redalyc.org/articulo.oa?id=53412103 |
work_keys_str_mv | AT leonardorossenovaes escolhadecaracteresparaomelhoramentogeneticoemervamatepormeiodetecnicasmultivariadas AT josesebastiaofernandescunha escolhadecaracteresparaomelhoramentogeneticoemervamatepormeiodetecnicasmultivariadas |