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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Academia Brasileira de Ciências
2024-01-01
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Series: | Anais da Academia Brasileira de Ciências |
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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. |
first_indexed | 2024-03-08T15:48:52Z |
format | Article |
id | doaj.art-8bece09dc73d402c991d48cfd564cae8 |
institution | Directory Open Access Journal |
issn | 1678-2690 |
language | English |
last_indexed | 2024-03-08T15:48:52Z |
publishDate | 2024-01-01 |
publisher | Academia Brasileira de Ciências |
record_format | Article |
series | Anais da Academia Brasileira de Ciências |
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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