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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
05/12/2023 |
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Actualizado : |
04/03/2024 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
GONZÁLEZ, M.; AGUILAR, I.; QUEZADA, M.; BALMELLI, G. |
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Afiliación : |
MILENA GONZÁLEZ CHAVEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANELLA FERNANDA QUEZADA MACCHIAVELLO, Universidad de la República, Montevideo, Uruguay; GUSTAVO DANIEL BALMELLI HERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Genomic selection in Eucalyptus globulus as an assisted selection tool for growth rate and disease resistance. [abstract]. |
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Complemento del título : |
IUFRO Conference 2023. Oral presentation. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2023, Vol.27(NE2), e1252. https://doi.org/10.31285/AGRO.27.1252 -- OPEN ACCESS. |
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ISSN : |
2730-5066 |
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DOI : |
10.31285/AGRO.27.1252 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 15 Aug 2023; Accepted 01 Sep 2023; Published 20 Nov 2023. -- Correspondence: Milena González, email:
mileg2014@gmail.com -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/ ) |
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Contenido : |
The adoption of genomic selection (GS) in forest tree breeding allows shortening breeding cycles, increasing selection intensity, and improving the accuracy of breeding values, which translate into increased genetic gains. Therefore, the objective of this work was to design a breeding strategy incorporating GS in the Eucalyptus globulus improvement plan of the INIA. Using the single step genomic selection (ssGBLUP) methodology, a multi-trait model of GS was developed considering different ages of evaluation (14 and 21 months), and combination of growth traits (total height and DBH) and heteroblasty (proportion of adult foliage) |
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Palabras claves : |
Breeding strategy; Genomic selection; Multitrait; Predictive ability. |
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Thesagro : |
EUCALYPTUS GLOBULUS. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17424/1/AGRO.27.1252.pdf
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Marc : |
LEADER 01735naa a2200253 a 4500
001 1064381
005 2024-03-04
008 2023 bl uuuu u00u1 u #d
022 $a2730-5066
024 7 $a10.31285/AGRO.27.1252$2DOI
100 1 $aGONZÁLEZ, M.
245 $aGenomic selection in Eucalyptus globulus as an assisted selection tool for growth rate and disease resistance. [abstract].$h[electronic resource]
260 $c2023
500 $aArticle history: Received 15 Aug 2023; Accepted 01 Sep 2023; Published 20 Nov 2023. -- Correspondence: Milena González, email: mileg2014@gmail.com -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/ )
520 $aThe adoption of genomic selection (GS) in forest tree breeding allows shortening breeding cycles, increasing selection intensity, and improving the accuracy of breeding values, which translate into increased genetic gains. Therefore, the objective of this work was to design a breeding strategy incorporating GS in the Eucalyptus globulus improvement plan of the INIA. Using the single step genomic selection (ssGBLUP) methodology, a multi-trait model of GS was developed considering different ages of evaluation (14 and 21 months), and combination of growth traits (total height and DBH) and heteroblasty (proportion of adult foliage)
650 $aEUCALYPTUS GLOBULUS
653 $aBreeding strategy
653 $aGenomic selection
653 $aMultitrait
653 $aPredictive ability
700 1 $aAGUILAR, I.
700 1 $aQUEZADA, M.
700 1 $aBALMELLI, G.
773 $tAgrociencia Uruguay, 2023, Vol.27(NE2), e1252. https://doi.org/10.31285/AGRO.27.1252 -- OPEN ACCESS.
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INIA Las Brujas (LB) |
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| 1. |  | OBERTI, H.; SESSA, L.; SÁNCHEZ-VALLET, A; NAVARRETE, F.; SEIDL, M.; PESSIO, M.; CIBILS-STEWART, X.; ABREO, E. Podemos mejorar una cepa de Beauveria bassiana biocontroladora de la chinche de la soja Piezodorus guildinii combinando métodos de biología molecular y datos de
secuenciación masiva?. O12. Módulo 3: Nuevas estrategias para potenciar el control biológico. In: Abreo, E.; Beyhaut, E.; Rivas, F. (Eds.). Simposio Microorganismos para la Agricultura, 2. [Resúmenes y Posters]. Canelones (UY): INIA, 2022. p.23. (Serie Actividades de Difusión; 801). Financiamiento: INIA SA_47, ANII_FMV_1_2021_1_169591, RYC2018-025530-I MCIN/AEI/10.13039/501100011033, EI FS.| Tipo: Abstracts/Resúmenes |
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