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| 7. |  | REBOLLO, I.; AGUILAR, I.; ROSAS, J.E. Comparison of conventional and GBLUP Genome-Wide Association mapping of cold tolerance in advanced rice breeding populations. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.| Biblioteca(s): INIA Treinta y Tres. |
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| 11. | | AGUILAR, I.; RAVAGNOLO, O.; PRAVIA, M.I. Evaluación genética poblacional raza Braford. Unidad Experimental La Magnolia, 3 abril, 2009. ln: INIA TACUAREMBÓ. Soluciones tecnológicas para la raza Braford: gira técnica. En el marco del CONGRESO MUNDIAL BRAFORD, 4., Punta del Este, Uruguay, 2009. Tacuarembó: INIA, 2009. p. 42-44.| Biblioteca(s): INIA Tacuarembó. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
08/03/2022 |
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Actualizado : |
02/12/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
QUEZADA, M.; AGUILAR, I.; BALMELLI, G. |
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Afiliación : |
MARIANELLA FERNANDA QUEZADA MACCHIAVELLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Biología Vegetal, Facultad de Agronomía-Universidad de la República, Montevideo, Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO DANIEL BALMELLI HERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Genomic breeding values' prediction including populational selfing rate in an open-pollinated Eucalyptus globulus breeding population. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Tree Genetics and Genomes, 2022, Volume 18, Issue 2, Article number 10. OPEN ACCESS. doi: https://doi.org/10.1007/s11295-021-01534-7 |
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ISSN : |
1614-2942 |
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DOI : |
10.1007/s11295-021-01534-7 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 14 May 2021; Revised 17 November 2021; Accepted 27 November 2021; Published 07 February 2022. -- Electronic supplementary material. --
Corresponding author: Balmelli, G.; Instituto Nacional de Investigación Agropecuaria (INIA). Programa Nacional de Investigación en Producción Forestal, Estación Experimental del Norte, Ruta 5 km 386, Tacuarembó, Uruguay; email:gbalmelli@inia.org.uy -- Funding: This work was supported by the Instituto Nacional de Investigación agropecuaria (INIA). MQ received a postdoctoral fellowship from INIA. |
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Contenido : |
ABSTRACT.- In forest tree breeding programs, open-pollinated families are frequently used to estimate genetic parameters and evaluate genetic merit of individuals. However, the presence of selfing events not documented in the pedigree affects the estimation of these parameters. In this study, 194 open-pollinated families of Eucalyptus globulus Labill. trees were used to compare the precision of estimated genetic parameters and accuracies of predicted breeding values with the conventional pedigree-based model (ABLUP) and the pedigree-genomic single-step model (ssGBLUP). The available genetic information for pairwise parent-offspring allows us to estimate an actual populational selfing rate of 5.4%. For all the growth and disease resistance traits evaluated, the inclusion of selfing rate was effective in reducing the upward bias, between 7 and 30%, in heritability estimates. The predictive abilities for ssGBLUP models were always higher than those for ABLUP models. In both cases, a considerable reduction of predictive abilities was observed when relatedness between training and validation populations was removed. We proposed a straightforward approach for the estimation of the actual selfing rate in a breeding population. The incorporation of this parameter allows for more reliable estimation of genetic parameters. Furthermore, our results proved that ssGBLUP was effective for the accurate estimation of genetic parameters and to improve the prediction of breeding values in presence of selfing events, thus a valuable tool for genomic evaluations in Eucalyptus breeding programs. © 2022, The Author(s). MenosABSTRACT.- In forest tree breeding programs, open-pollinated families are frequently used to estimate genetic parameters and evaluate genetic merit of individuals. However, the presence of selfing events not documented in the pedigree affects the estimation of these parameters. In this study, 194 open-pollinated families of Eucalyptus globulus Labill. trees were used to compare the precision of estimated genetic parameters and accuracies of predicted breeding values with the conventional pedigree-based model (ABLUP) and the pedigree-genomic single-step model (ssGBLUP). The available genetic information for pairwise parent-offspring allows us to estimate an actual populational selfing rate of 5.4%. For all the growth and disease resistance traits evaluated, the inclusion of selfing rate was effective in reducing the upward bias, between 7 and 30%, in heritability estimates. The predictive abilities for ssGBLUP models were always higher than those for ABLUP models. In both cases, a considerable reduction of predictive abilities was observed when relatedness between training and validation populations was removed. We proposed a straightforward approach for the estimation of the actual selfing rate in a breeding population. The incorporation of this parameter allows for more reliable estimation of genetic parameters. Furthermore, our results proved that ssGBLUP was effective for the accurate estimation of genetic parameters and to improve the prediction of breeding values in pre... Presentar Todo |
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Palabras claves : |
Breeding Value; Disease resistance; Genotype; Selfing rate; Single-step genomic evaluation. |
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Thesagro : |
EUCALYPTUS. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16903/1/s11295-021-01534-7.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/16904/1/11295-2021-1534-MOESM1-ESM.pdf
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Marc : |
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001 1062806
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008 2022 bl uuuu u00u1 u #d
022 $a1614-2942
024 7 $a10.1007/s11295-021-01534-7$2DOI
100 1 $aQUEZADA, M.
245 $aGenomic breeding values' prediction including populational selfing rate in an open-pollinated Eucalyptus globulus breeding population.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 14 May 2021; Revised 17 November 2021; Accepted 27 November 2021; Published 07 February 2022. -- Electronic supplementary material. -- Corresponding author: Balmelli, G.; Instituto Nacional de Investigación Agropecuaria (INIA). Programa Nacional de Investigación en Producción Forestal, Estación Experimental del Norte, Ruta 5 km 386, Tacuarembó, Uruguay; email:gbalmelli@inia.org.uy -- Funding: This work was supported by the Instituto Nacional de Investigación agropecuaria (INIA). MQ received a postdoctoral fellowship from INIA.
520 $aABSTRACT.- In forest tree breeding programs, open-pollinated families are frequently used to estimate genetic parameters and evaluate genetic merit of individuals. However, the presence of selfing events not documented in the pedigree affects the estimation of these parameters. In this study, 194 open-pollinated families of Eucalyptus globulus Labill. trees were used to compare the precision of estimated genetic parameters and accuracies of predicted breeding values with the conventional pedigree-based model (ABLUP) and the pedigree-genomic single-step model (ssGBLUP). The available genetic information for pairwise parent-offspring allows us to estimate an actual populational selfing rate of 5.4%. For all the growth and disease resistance traits evaluated, the inclusion of selfing rate was effective in reducing the upward bias, between 7 and 30%, in heritability estimates. The predictive abilities for ssGBLUP models were always higher than those for ABLUP models. In both cases, a considerable reduction of predictive abilities was observed when relatedness between training and validation populations was removed. We proposed a straightforward approach for the estimation of the actual selfing rate in a breeding population. The incorporation of this parameter allows for more reliable estimation of genetic parameters. Furthermore, our results proved that ssGBLUP was effective for the accurate estimation of genetic parameters and to improve the prediction of breeding values in presence of selfing events, thus a valuable tool for genomic evaluations in Eucalyptus breeding programs. © 2022, The Author(s).
650 $aEUCALYPTUS
653 $aBreeding Value
653 $aDisease resistance
653 $aGenotype
653 $aSelfing rate
653 $aSingle-step genomic evaluation
700 1 $aAGUILAR, I.
700 1 $aBALMELLI, G.
773 $tTree Genetics and Genomes, 2022, Volume 18, Issue 2, Article number 10. OPEN ACCESS. doi: https://doi.org/10.1007/s11295-021-01534-7
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