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| Registros recuperados : 15 | |
| 2. |  | CARRA, B.; HERTER, F.G.; MORETTI FERREIRA PINTO, F.A.; FONTANELLA BRIGHENTI, A.; PEREIRA PASA, C.; MELLO-FARIAS, P.C.; DINI, M.; SOZO DE ABREU, E.; DA SILVEIRA PASA, M. Return bloom and yield of 'Rocha' pear trees are improved by Ethephon and Paclobutrazol. Journal of Plant Growth Regulation, 2023, Volume 42, Issue 6, pp. 3650-3661. doi: https://doi.org/10.1007/s00344-022-10827-7 Article history: Received 13 May 2022; Accepted 21 September 2022; Published online 6 October 2022; Published Print June 2023. -- Correspondence author: Carra, B.; Instituto Nacional de Investigación Agropecuaria, INIA Las Brujas, Rincon...| Biblioteca(s): INIA Las Brujas. |
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| 3. | | DIAS, C.S.; ARIAS-SIBILLOTTE, M.; TISCORNIA, G.; SEVERINO, V.; PASA, M.; HERTER, F.G.; MELLO-FARIAS, P.; CONDE, P. Low spring temperature may negatively influence olive yield. Australian Journal of Crop Science, 2022, volume 16, number 9, pages 1094-1100. OPEN ACCESS. doi: https://doi.org/10.21475/ajcs.22.16.09.p3602| Biblioteca(s): INIA Treinta y Tres. |
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| 5. | | ABREU, E. S.; DINI, M.; CARRA, B.; MARCHI, P. M.; HERTER, F. G.; MELLO-FARIAS, P. C. Bud break promoters following different chilling hour accumulation of 'Hosui' pear. [Conference paper]. Acta Horticulturae, February 2021, N°1303, p. 299-304. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.42 Article history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein.| Biblioteca(s): INIA Las Brujas. |
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| 7. | | CARRA, B.; DINI, M.; ABREU, E. S.; PASA, M. S.; PASA, C. P.; FRANCESCATTO, P.; HERTER, F. G.; MELLO-FARIAS, P. C. Ethephon increases return bloom and yield of 'Rocha' pear trees. [Conference paper]. Acta Horticulturae, February 2021, N°1303, p. 291-298. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.41 Article history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein.| Biblioteca(s): INIA Las Brujas. |
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| 9. | | DE MARCO, R.; ZOPPOLO, R.; HERTER, F. G.; MARTINS, C. R.; MELLO-FARIAS, P. C.; UBERTI, A. The irrigation effect on nuts' growth and yield of Carya illinoinensis. Crop Science. Anais da Academia Brasileira de Ciências, 2021, volume 3, no.1, OPEN ACCESS. Doi: https://doi.org/10.1590/0001-3765202120181351 Article history: Manuscript received on January 3, 2019; Accepted for publication on December 3, 2019.
Correspondence author: Rudinei De Marco - E-mail: rudineidemarco@hotmail.com| Biblioteca(s): INIA Las Brujas. |
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| 10. | | DINI, M.; RASEIRA, M. DO C. B.; SCARIOTTO, S.; MARCHI, P. M.; MELLO-FARIAS, P. Peach phenological characters: heritability, maternal effect and correlation with brown rot. Genetics and Molecular Research, 2021, Volume 20, Issue 1, Article number gmr18684, Pages 1-12. OPEN ACCESS. DOI: https://doi.org/10.4238/gmr18684 Article history: Received November 19, 2020; Accepted December 15, 2020; Published January 31, 2021.
This study was partially funded by the Agencia Nacional de Investigación e Innovación -Uruguay (ANII) in the first year and by the...| Biblioteca(s): INIA Las Brujas. |
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| 11. | | ABREU, E. S.; CARRA, B.; DINI, M.; SILVA, T. A.; SIMOES, F.; PASA, M. S.; BRIGHENTI, A.F.; CHAVES, A.L.S.; MELLO-FARIAS, P.C.; HERTER, F.G. Native embolism in 'Rocha' pear under different rootstocks and their relationship with plant vigor. [Conference paper]. Acta Horticulturae, February 2021, N°1303, p. 221-226. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.32 Article history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein.| Biblioteca(s): INIA Las Brujas. |
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| 12. | | CARRA, B.; ABREU, E. S.; DINI, M.; PASA, M. S.; PASA, C. P.; FRANCESCATTO. P.; HERTER, F. G.; MELLO-FARIAS, P. C. Increase of fruit set and yield of 'Rocha' pear trees. [Conference paper]. Acta Horticulturae, February 2021, N°1303, p. 271-278. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.38 Article history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein.| Biblioteca(s): INIA Las Brujas. |
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| 13. | | CARRA, B.; PASA, M. S.; ABREU, E. S.; DINI, M.; PASA, C. P.; CIOTTA, M. N.; HERTER, F. G.; MELLO-FARIAS, P. Plant growth regulators to increase fruit set and yield of 'Rocha' pear trees in Southern Brazil. Anais da Academia Brasileira de Ciências, 2021, vol. 93, n. 3 e20180680, Pages 1-16. Doi: 10.1590/0001-3765202120180860 16 p. Article history: Manuscript received on July 5, 2018 / Accepted for publication on June 6, 2019. Published online 2021| Biblioteca(s): INIA Treinta y Tres. |
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| 14. | | OLIVEIRA, A.B.; CABRERA, D.; RODRIGUEZ, P.; HERTER, F.G.; MELLO-FARÍAS, P. Avaliação de pessegueiros sobre diferentes porta-enxertos no INIA Las Brujas. [Presentación Poster-P5M2]. Trabajos presentados en posters. In: Dini, M.; Soria, J. (Eds.). Encuentro latinoamericano Prunus sin Fronteras, 8., 6-8 noviembre 2019, INIA Las Brujas, Canelones, Uruguay. Actas. Canelones (UY): INIA. p.37. (Serie Actividades de Difusión; 793).| Biblioteca(s): INIA Las Brujas. |
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| 15. | | DINI, M.; RASEIRA, M. DO C. B.; SCARNIATTO, S.; CARRA, B.; ABREU, E. S. DE; MELLO-FARIAS, P.; FLORES CANTILLANO, R. F. Color shade heritability of peach flesh. Journal of Agricultural Science, 2019. v. 11, n. 8, p. 236-247. OPEN ACCESS. Doi: https://doi.org/10.5539/jas.v11n8p236 Article history: Received: March 21 2019; Accepted: April 28 2019; Online Published: June 15 2019.
This research was partially financed by the Agencia Nacional de Investigación e Innovación-Uruguay (ANII) in the first year and by the...| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 15 | |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
05/12/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
BRANDARIZ , S.; GONZÁLEZ RAYMÚNDEZ, A.; LADO, B.; MALOSETTI, M.; FRANCO GARCIA, A.; QUINCKE, M.; VON ZITZEWITZ, J.; CASTRO, M.; MATUS,I.; DEL POZO, A.; CASTRO, A.J.; GUTIÉRREZ, L. |
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Afiliación : |
SOFÍA P. BRANDARIZ, Universidad de la República (UdelaR); Facultad de Agronomía, Uruguay.; AGUSTÍN GONZÁLEZ REYMÚNDEZ; BETTINA LADO; MARCOS MALOSETTI; ANTONIO AUGUSTO FRANCO GARCIA; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JARISLAV RAMON VON ZITZEWITZ VON SALVIATI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARINA CASTRO DERENYI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IVÁN MATUS; ALEJANDRO DEL POZO; ARIEL J. CASTRO; LUCÍA GUTIÉRREZ. |
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Título : |
Ascertainment bias from imputation methods evaluation in wheat. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
BMC Genomics, 2016, v. 17, p.773. |
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DOI : |
10.1186/s12864-016-3120-5 |
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Idioma : |
Inglés |
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Notas : |
OPEN ACCESS. Article history: Received 2016 Feb 24 // Accepted 2016 Sep 23. |
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Contenido : |
Abstract
BACKGROUND:
Whole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed. Nevertheless, imputation error may lead to poor performance (i.e. smaller power or higher false positive rate) when complete data is not required as it is for GWAS, and each marker is taken at a time. The aim of this study was to compare the performance of GWAS analysis for Quantitative Trait Loci (QTL) of major and minor effect using different imputation methods when no reference panel is available in a wheat GBS panel.
RESULTS:
In this study, we compared the power and false positive rate of dissecting quantitative traits for imputed and not-imputed marker score matrices in: (1) a complete molecular marker barley panel array, and (2) a GBS wheat panel with missing data. We found that there is an ascertainment bias in imputation method comparisons. Simulating over a complete matrix and creating missing data at random proved that imputation methods have a poorer performance. Furthermore, we found that when QTL were simulated with imputed data, the imputation methods performed better than the not-imputed ones. On the other hand, when QTL were simulated with not-imputed data, the not-imputed method and one of the imputation methods performed better for dissecting quantitative traits. Moreover, larger differences between imputation methods were detected for QTL of major effect than QTL of minor effect. We also compared the different marker score matrices for GWAS analysis in a real wheat phenotype dataset, and we found minimal differences indicating that imputation did not improve the GWAS performance when a reference panel was not available.
CONCLUSIONS:
Poorer performance was found in GWAS analysis when an imputed marker score matrix was used, no reference panel is available, in a wheat GBS panel. MenosAbstract
BACKGROUND:
Whole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed. Nevertheless, imputation error may lead to poor performance (i.e. smaller power or higher false positive rate) when complete data is not required as it is for GWAS, and each marker is taken at a time. The aim of this study was to compare the performance of GWAS analysis for Quantitative Trait Loci (QTL) of major and minor effect using different imputation methods when no reference panel is available in a wheat GBS panel.
RESULTS:
In this study, we compared the power and false positive rate of dissecting quantitative traits for imputed and not-imputed marker score matrices in: (1) a complete molecular marker barley panel array, and (2) a GBS wheat panel with missing data. We found that there is an ascertainment bias in imputation method comparisons. Simulating over a complete matrix and creating missing data at random proved that imputation methods have a poorer performance. Furthermore, we found that when QTL were simulated with imputed data, the imputation methods performed better than the not-imputed ones. On the other hand, when QTL were simulated with not-imputed data, the not-imputed method and one of the imputation methods performed better for dissecting quantitative traits. Moreover, larger differences between ... Presentar Todo |
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Palabras claves : |
FALSE POSITIVE; FALSO POSITIVO; GBS; GWAS; POWER; QTLs. |
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Thesagro : |
MEJORAMIENTO DE TRIGO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12122/1/s12864-016-3120-5.pdf
https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-3120-5
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Marc : |
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024 7 $a10.1186/s12864-016-3120-5$2DOI
100 1 $aBRANDARIZ , S.
245 $aAscertainment bias from imputation methods evaluation in wheat.$h[electronic resource]
260 $aBMC Genomics, 2016, v. 17, p.773.$c2016
500 $aOPEN ACCESS. Article history: Received 2016 Feb 24 // Accepted 2016 Sep 23.
520 $aAbstract BACKGROUND: Whole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed. Nevertheless, imputation error may lead to poor performance (i.e. smaller power or higher false positive rate) when complete data is not required as it is for GWAS, and each marker is taken at a time. The aim of this study was to compare the performance of GWAS analysis for Quantitative Trait Loci (QTL) of major and minor effect using different imputation methods when no reference panel is available in a wheat GBS panel. RESULTS: In this study, we compared the power and false positive rate of dissecting quantitative traits for imputed and not-imputed marker score matrices in: (1) a complete molecular marker barley panel array, and (2) a GBS wheat panel with missing data. We found that there is an ascertainment bias in imputation method comparisons. Simulating over a complete matrix and creating missing data at random proved that imputation methods have a poorer performance. Furthermore, we found that when QTL were simulated with imputed data, the imputation methods performed better than the not-imputed ones. On the other hand, when QTL were simulated with not-imputed data, the not-imputed method and one of the imputation methods performed better for dissecting quantitative traits. Moreover, larger differences between imputation methods were detected for QTL of major effect than QTL of minor effect. We also compared the different marker score matrices for GWAS analysis in a real wheat phenotype dataset, and we found minimal differences indicating that imputation did not improve the GWAS performance when a reference panel was not available. CONCLUSIONS: Poorer performance was found in GWAS analysis when an imputed marker score matrix was used, no reference panel is available, in a wheat GBS panel.
650 $aMEJORAMIENTO DE TRIGO
653 $aFALSE POSITIVE
653 $aFALSO POSITIVO
653 $aGBS
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700 1 $aGONZÁLEZ RAYMÚNDEZ, A.
700 1 $aLADO, B.
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700 1 $aVON ZITZEWITZ, J.
700 1 $aCASTRO, M.
700 1 $aMATUS,I.
700 1 $aDEL POZO, A.
700 1 $aCASTRO, A.J.
700 1 $aGUTIÉRREZ, L.
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