BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS

Detalhes bibliográficos
Autor(a) principal: Mora, Freddy
Data de Publicação: 2013
Outros Autores: Rubilar, Rafael, Emhart, Veronica Ingrid, Saavedra, Javier
Tipo de documento: Artigo
Idioma: spa
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/9297
Resumo: http://dx.doi.org/10.5902/198050989297A Bayesian analysis of genetic parameters for growth traits at twelve months after planting was carried out in twenty nine Eucalyptus globulus clones in southern Chile. Two different environmental conditions were considered: 1) Non-irrigation and; 2) Plants were irrigated with a localized irrigation system. The Bayesian approach was performed using Gibbs sampling algorithm in a clone-environment interaction model. Inheritability values ​​were high in the water supply condition (posterior mode: H2=0.41, 0.36 and 0.39 for height, diameter and sectional area, respectively), while in the environment without irrigation, the inheritabilities were significantly lower, which was confirmed by the Bayesian credible intervals (95% probability). The posterior mode of the genetic correlation between sites was positive and high for all traits (r=0.7, 0.65 and 0.8, for height, diameter and sectional area, respectively) and according to the credible interval, it was statistically different from zero, indicating a non-significant interaction.
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spelling BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONSPredicción bayesiana de parámetros genéticos en clones de Eucalyptus globulus bajo condiciones de suplemento hídricoPredicción bayesiana de parámetros genéticos en clones de Eucalyptus globulus bajo condiciones de suplemento hídricoirrigationgrowth traitsheritabilitybreeding valuesriegocrecimientoheredabilidadvalores genéticos.riegocrecimientoheredabilidadvalores genéticoshttp://dx.doi.org/10.5902/198050989297A Bayesian analysis of genetic parameters for growth traits at twelve months after planting was carried out in twenty nine Eucalyptus globulus clones in southern Chile. Two different environmental conditions were considered: 1) Non-irrigation and; 2) Plants were irrigated with a localized irrigation system. The Bayesian approach was performed using Gibbs sampling algorithm in a clone-environment interaction model. Inheritability values ​​were high in the water supply condition (posterior mode: H2=0.41, 0.36 and 0.39 for height, diameter and sectional area, respectively), while in the environment without irrigation, the inheritabilities were significantly lower, which was confirmed by the Bayesian credible intervals (95% probability). The posterior mode of the genetic correlation between sites was positive and high for all traits (r=0.7, 0.65 and 0.8, for height, diameter and sectional area, respectively) and according to the credible interval, it was statistically different from zero, indicating a non-significant interaction. Se realizó un análisis Bayesiano de parámetros genéticos del crecimiento en 29 clones de Eucalyptus globulus de doce meses de edad, en el sur de Chile. Se consideraron dos condiciones ambientales contrastantes en cuanto a la disponibilidad hídrica: 1. Sin irrigación, y 2. Las plantas se irrigaron con un sistema localizado de riego. Para el análisis Bayesiano se utilizó el algoritmo de Gibbs en un modelo de interacción clon-ambiente. Los valores de heredabilidad fueron altos en la condición de riego (moda a posteriori de H2=0,41, 0,36 y 0,39 para la altura, diámetro y área basal, respectivamente), en tanto que en la situación sin riego, los valores de las heredabilidades fueron significativamente más bajos; confirmado por medio de los intervalos de credibilidad Bayesianos (95% de probabilidad). La moda a posteriori de la correlación genética entre sitios fue positiva y alta para las tres características (r=0,7, 0,65 y 0,8, para altura, diámetro y área basal, respectivamente), y de acuerdo al intervalo de credibilidad, esta correlación fue estadísticamente diferente de cero, indicando una interacción no significativa. http://dx.doi.org/10.5902/198050989297Se realizó un análisis Bayesiano de parámetros genéticos del crecimiento en 29 clones de Eucalyptus globulus de doce meses de edad, en el sur de Chile. Se consideraron dos condiciones ambientales contrastantes en cuanto a la disponibilidad hídrica: 1. Sin irrigación, y 2. Las plantas se irrigaron con un sistema localizado de riego. Para el análisis Bayesiano se utilizó el algoritmo de Gibbs en un modelo de interacción clon-ambiente. Los valores de heredabilidad fueron altos en la condición de riego (moda a posteriori de H2=0,41, 0,36 y 0,39 para la altura, diámetro y área basal, respectivamente), en tanto que en la situación sin riego, los valores de las heredabilidades fueron significativamente más bajos; confirmado por medio de los intervalos de credibilidad Bayesianos (95 % de probabilidad). La moda a posteriori de la correlación genética entre sitios fue positiva y alta para las tres características (r=0,7, 0,65 y 0,8, para altura, diámetro y área basal, respectivamente), y de acuerdo al intervalo de credibilidad, esta correlación fue estadísticamente diferente de cero, indicando una interacción no significativa.Universidade Federal de Santa Maria2013-06-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/929710.5902/198050989297Ciência Florestal; Vol. 23 No. 2 (2013); 529-536Ciência Florestal; v. 23 n. 2 (2013); 529-5361980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMspahttps://periodicos.ufsm.br/cienciaflorestal/article/view/9297/pdfMora, FreddyRubilar, RafaelEmhart, Veronica IngridSaavedra, Javierinfo:eu-repo/semantics/openAccess2017-04-17T18:10:30Zoai:ojs.pkp.sfu.ca:article/9297Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-04-17T18:10:30Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
Predicción bayesiana de parámetros genéticos en clones de Eucalyptus globulus bajo condiciones de suplemento hídrico
Predicción bayesiana de parámetros genéticos en clones de Eucalyptus globulus bajo condiciones de suplemento hídrico
title BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
spellingShingle BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
Mora, Freddy
irrigation
growth traits
heritability
breeding values
riego
crecimiento
heredabilidad
valores genéticos.
riego
crecimiento
heredabilidad
valores genéticos
title_short BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
title_full BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
title_fullStr BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
title_full_unstemmed BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
title_sort BAYESIAN PREDICTION OF GENETIC PARAMETERS IN Eucalyptus globulus CLONES UNDER WATER SUPPLY CONDITIONS
author Mora, Freddy
author_facet Mora, Freddy
Rubilar, Rafael
Emhart, Veronica Ingrid
Saavedra, Javier
author_role author
author2 Rubilar, Rafael
Emhart, Veronica Ingrid
Saavedra, Javier
author2_role author
author
author
dc.contributor.author.fl_str_mv Mora, Freddy
Rubilar, Rafael
Emhart, Veronica Ingrid
Saavedra, Javier
dc.subject.por.fl_str_mv irrigation
growth traits
heritability
breeding values
riego
crecimiento
heredabilidad
valores genéticos.
riego
crecimiento
heredabilidad
valores genéticos
topic irrigation
growth traits
heritability
breeding values
riego
crecimiento
heredabilidad
valores genéticos.
riego
crecimiento
heredabilidad
valores genéticos
description http://dx.doi.org/10.5902/198050989297A Bayesian analysis of genetic parameters for growth traits at twelve months after planting was carried out in twenty nine Eucalyptus globulus clones in southern Chile. Two different environmental conditions were considered: 1) Non-irrigation and; 2) Plants were irrigated with a localized irrigation system. The Bayesian approach was performed using Gibbs sampling algorithm in a clone-environment interaction model. Inheritability values ​​were high in the water supply condition (posterior mode: H2=0.41, 0.36 and 0.39 for height, diameter and sectional area, respectively), while in the environment without irrigation, the inheritabilities were significantly lower, which was confirmed by the Bayesian credible intervals (95% probability). The posterior mode of the genetic correlation between sites was positive and high for all traits (r=0.7, 0.65 and 0.8, for height, diameter and sectional area, respectively) and according to the credible interval, it was statistically different from zero, indicating a non-significant interaction.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/9297
10.5902/198050989297
url https://periodicos.ufsm.br/cienciaflorestal/article/view/9297
identifier_str_mv 10.5902/198050989297
dc.language.iso.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/9297/pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 23 No. 2 (2013); 529-536
Ciência Florestal; v. 23 n. 2 (2013); 529-536
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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