REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis

Abstract The Paspalum genus has potential for further genetic improvement because of its adaptability to different ecosystems and production of high yields for grazing livestock. We estimate the genetic parameters of 195 intraspecific P. notatum hybrids using Restricted Maximum Likelihood (REML), fo...

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Main Authors: DIÓGENES C. SILVEIRA, ROBERTO LUIS WEILER, ANDRÉ P. BRUNES, CARINE SIMIONI, ANNAMARIA MILLS, JÚLIA LONGHI, MARCOS VINICIUS S. CORRÊA, CARLA NAUDERER, ARTHUR VALENTINI, WELITON M. DOS SANTOS, MIGUEL DALL’AGNOL
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2024-01-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000501402&lng=en&tlng=en
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author DIÓGENES C. SILVEIRA
ROBERTO LUIS WEILER
ANDRÉ P. BRUNES
CARINE SIMIONI
ANNAMARIA MILLS
JÚLIA LONGHI
MARCOS VINICIUS S. CORRÊA
CARLA NAUDERER
ARTHUR VALENTINI
WELITON M. DOS SANTOS
MIGUEL DALL’AGNOL
author_facet DIÓGENES C. SILVEIRA
ROBERTO LUIS WEILER
ANDRÉ P. BRUNES
CARINE SIMIONI
ANNAMARIA MILLS
JÚLIA LONGHI
MARCOS VINICIUS S. CORRÊA
CARLA NAUDERER
ARTHUR VALENTINI
WELITON M. DOS SANTOS
MIGUEL DALL’AGNOL
author_sort DIÓGENES C. SILVEIRA
collection DOAJ
description Abstract The Paspalum genus has potential for further genetic improvement because of its adaptability to different ecosystems and production of high yields for grazing livestock. We estimate the genetic parameters of 195 intraspecific P. notatum hybrids using Restricted Maximum Likelihood (REML), followed by selection based on Best Linear Unbiased Prediction (BLUP) through multivariate analysis. The intraspecific hybrids studied showed considerable genetic variability in the evaluated forage traits, displaying their potential for progression in subsequent stages of the genetic improvement program. Notably, plant height emerged as an important trait for indirect selection to enhance forage production. The use of the REML/BLUP procedure proves to be a robust tool for data analysis, particularly for perennial species. Furthermore, multivariate analysis based on BLUPs should be used in the selection process within breeding programs. Based on the BLUP values, hybrids D3, D16, C17, C2 and B17 were identified as superior for forage production, and they hold promise for future breeding programs for future breeding initiatives aimed at direct selection to improve yield.
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spelling doaj.art-8bece09dc73d402c991d48cfd564cae82024-01-09T07:44:26ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902024-01-0195suppl 210.1590/0001-3765202320230137REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysisDIÓGENES C. SILVEIRAhttps://orcid.org/0000-0001-6653-4839ROBERTO LUIS WEILERhttps://orcid.org/0000-0002-1063-6374ANDRÉ P. BRUNEShttps://orcid.org/0000-0002-2430-8232CARINE SIMIONIhttps://orcid.org/0000-0002-0642-6980ANNAMARIA MILLShttps://orcid.org/0000-0002-9194-4597JÚLIA LONGHIhttps://orcid.org/0000-0002-6608-3836MARCOS VINICIUS S. CORRÊAhttps://orcid.org/0000-0003-0208-495XCARLA NAUDERERhttps://orcid.org/0000-0002-9069-6018ARTHUR VALENTINIhttps://orcid.org/0000-0003-3661-3207WELITON M. DOS SANTOShttps://orcid.org/0000-0002-8937-9998MIGUEL DALL’AGNOLhttps://orcid.org/0000-0001-5471-1850Abstract The Paspalum genus has potential for further genetic improvement because of its adaptability to different ecosystems and production of high yields for grazing livestock. We estimate the genetic parameters of 195 intraspecific P. notatum hybrids using Restricted Maximum Likelihood (REML), followed by selection based on Best Linear Unbiased Prediction (BLUP) through multivariate analysis. The intraspecific hybrids studied showed considerable genetic variability in the evaluated forage traits, displaying their potential for progression in subsequent stages of the genetic improvement program. Notably, plant height emerged as an important trait for indirect selection to enhance forage production. The use of the REML/BLUP procedure proves to be a robust tool for data analysis, particularly for perennial species. Furthermore, multivariate analysis based on BLUPs should be used in the selection process within breeding programs. Based on the BLUP values, hybrids D3, D16, C17, C2 and B17 were identified as superior for forage production, and they hold promise for future breeding programs for future breeding initiatives aimed at direct selection to improve yield.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000501402&lng=en&tlng=enBahiagrassbest linear unbiased predictiongenetic correlationgenetic parametersheritabilityrestricted/residual maximum likelihood
spellingShingle DIÓGENES C. SILVEIRA
ROBERTO LUIS WEILER
ANDRÉ P. BRUNES
CARINE SIMIONI
ANNAMARIA MILLS
JÚLIA LONGHI
MARCOS VINICIUS S. CORRÊA
CARLA NAUDERER
ARTHUR VALENTINI
WELITON M. DOS SANTOS
MIGUEL DALL’AGNOL
REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis
Anais da Academia Brasileira de Ciências
Bahiagrass
best linear unbiased prediction
genetic correlation
genetic parameters
heritability
restricted/residual maximum likelihood
title REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis
title_full REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis
title_fullStr REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis
title_full_unstemmed REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis
title_short REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis
title_sort reml blup methodology for selection intraspecific hybrids of paspalum notatum flugge by multivariate analysis
topic Bahiagrass
best linear unbiased prediction
genetic correlation
genetic parameters
heritability
restricted/residual maximum likelihood
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000501402&lng=en&tlng=en
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