Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial

The management of a genetic improvement program is based on the knowledge of the genetic parameters and their relationships to determine the genetic gains. Knowledge of the coefficient of coancestry (&thetas;) is a requirement for efficient progeny testing scheme and for estimating additive variance components for any quantitative trait. When using open-pollinated families, most authors assume that the seedlings are related as half-sibs, but this is not always true. Our aim was to estimate a mean value of the coancestry coefficient of the families present in a maritime pine Pinus pinaster Ait. (maritime or cluster pine) progeny trial originating from seed collected in a clonal seed orchard and to study how deviations from the standard assumption of thetas; = 0.125 affect heritability estimations. Five highly polymorphic microsatellite markers were scored in 125 offspring from a subsample of five families from the progeny trial. The mean value of the coancestry coefficient of the families present in this progeny trial was 0.130. Differences between the unadjusted and adjusted heritability estimates were more pronounced in wood density (0.609 and 0.586, respectively) than in diameter (0.166 and 0.154, respectively). We conclude that in the trial, the associated error in heritability estimates due to the inclusion of full-sibs, when assuming a standard coefficient of relationship among open-pollinated sibs of 0.250, was low and that this result is robust with respect to the number of families sampled, given unbiased estimates of average relationship among offspring within sib families. © Springer-Verlag 2009.

Saved in:
Bibliographic Details
Main Authors: Gaspar, M. J., De-Lucas, A. I., Alía Miranda, Ricardo, Paiva, J. A. P., Hidalgo, E., Louzada, J., Almeida, H., González-Martínez, S. C.
Format: artículo biblioteca
Language:English
Published: Springer Nature 2009
Subjects:Pinus pinaster, Coefficient of coancestry, Microsatellite markers,
Online Access:http://hdl.handle.net/20.500.12792/1686
http://hdl.handle.net/10261/291577
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-inia-es-10261-291577
record_format koha
spelling dig-inia-es-10261-2915772023-02-20T07:19:39Z Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial Gaspar, M. J. De-Lucas, A. I. Alía Miranda, Ricardo Paiva, J. A. P. Hidalgo, E. Louzada, J. Almeida, H. González-Martínez, S. C. Pinus pinaster Coefficient of coancestry Microsatellite markers The management of a genetic improvement program is based on the knowledge of the genetic parameters and their relationships to determine the genetic gains. Knowledge of the coefficient of coancestry (&thetas;) is a requirement for efficient progeny testing scheme and for estimating additive variance components for any quantitative trait. When using open-pollinated families, most authors assume that the seedlings are related as half-sibs, but this is not always true. Our aim was to estimate a mean value of the coancestry coefficient of the families present in a maritime pine Pinus pinaster Ait. (maritime or cluster pine) progeny trial originating from seed collected in a clonal seed orchard and to study how deviations from the standard assumption of thetas; = 0.125 affect heritability estimations. Five highly polymorphic microsatellite markers were scored in 125 offspring from a subsample of five families from the progeny trial. The mean value of the coancestry coefficient of the families present in this progeny trial was 0.130. Differences between the unadjusted and adjusted heritability estimates were more pronounced in wood density (0.609 and 0.586, respectively) than in diameter (0.166 and 0.154, respectively). We conclude that in the trial, the associated error in heritability estimates due to the inclusion of full-sibs, when assuming a standard coefficient of relationship among open-pollinated sibs of 0.250, was low and that this result is robust with respect to the number of families sampled, given unbiased estimates of average relationship among offspring within sib families. © Springer-Verlag 2009. 2023-02-20T07:19:39Z 2023-02-20T07:19:39Z 2009 artículo Tree Genetics and Genomes 5: 609-616 (2009) 1614-2942 http://hdl.handle.net/20.500.12792/1686 http://hdl.handle.net/10261/291577 10.1007/s11295-009-0213-1 1614-2950 en none Springer Nature
institution INIA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-inia-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del INIA España
language English
topic Pinus pinaster
Coefficient of coancestry
Microsatellite markers
Pinus pinaster
Coefficient of coancestry
Microsatellite markers
spellingShingle Pinus pinaster
Coefficient of coancestry
Microsatellite markers
Pinus pinaster
Coefficient of coancestry
Microsatellite markers
Gaspar, M. J.
De-Lucas, A. I.
Alía Miranda, Ricardo
Paiva, J. A. P.
Hidalgo, E.
Louzada, J.
Almeida, H.
González-Martínez, S. C.
Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial
description The management of a genetic improvement program is based on the knowledge of the genetic parameters and their relationships to determine the genetic gains. Knowledge of the coefficient of coancestry (&thetas;) is a requirement for efficient progeny testing scheme and for estimating additive variance components for any quantitative trait. When using open-pollinated families, most authors assume that the seedlings are related as half-sibs, but this is not always true. Our aim was to estimate a mean value of the coancestry coefficient of the families present in a maritime pine Pinus pinaster Ait. (maritime or cluster pine) progeny trial originating from seed collected in a clonal seed orchard and to study how deviations from the standard assumption of thetas; = 0.125 affect heritability estimations. Five highly polymorphic microsatellite markers were scored in 125 offspring from a subsample of five families from the progeny trial. The mean value of the coancestry coefficient of the families present in this progeny trial was 0.130. Differences between the unadjusted and adjusted heritability estimates were more pronounced in wood density (0.609 and 0.586, respectively) than in diameter (0.166 and 0.154, respectively). We conclude that in the trial, the associated error in heritability estimates due to the inclusion of full-sibs, when assuming a standard coefficient of relationship among open-pollinated sibs of 0.250, was low and that this result is robust with respect to the number of families sampled, given unbiased estimates of average relationship among offspring within sib families. © Springer-Verlag 2009.
format artículo
topic_facet Pinus pinaster
Coefficient of coancestry
Microsatellite markers
author Gaspar, M. J.
De-Lucas, A. I.
Alía Miranda, Ricardo
Paiva, J. A. P.
Hidalgo, E.
Louzada, J.
Almeida, H.
González-Martínez, S. C.
author_facet Gaspar, M. J.
De-Lucas, A. I.
Alía Miranda, Ricardo
Paiva, J. A. P.
Hidalgo, E.
Louzada, J.
Almeida, H.
González-Martínez, S. C.
author_sort Gaspar, M. J.
title Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial
title_short Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial
title_full Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial
title_fullStr Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial
title_full_unstemmed Use of molecular markers for estimating breeding parameters A case study in a Pinus pinaster Ait. progeny trial
title_sort use of molecular markers for estimating breeding parameters a case study in a pinus pinaster ait. progeny trial
publisher Springer Nature
publishDate 2009
url http://hdl.handle.net/20.500.12792/1686
http://hdl.handle.net/10261/291577
work_keys_str_mv AT gasparmj useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
AT delucasai useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
AT aliamirandaricardo useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
AT paivajap useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
AT hidalgoe useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
AT louzadaj useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
AT almeidah useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
AT gonzalezmartinezsc useofmolecularmarkersforestimatingbreedingparametersacasestudyinapinuspinasteraitprogenytrial
_version_ 1767603228372893696