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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
29/05/2019 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MONTEVERDE, E.; GUTIERREZ, L.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; BONNECARRERE, V.; QUERO, G.; MCCOUCH, SUSAN |
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Afiliación : |
ELIANA MONTEVERDE, Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University.; LUCÍA GUTIERREZ, Department of Agronomy, University of Wisconsin.; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GASTÓN QUERO CORRALLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University. |
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Título : |
Integrating molecular markers and environmental covariates to interpret genotype by environment interaction in rice (Oryza sativa L.) grown in subtropical areas. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
G3: GENES, GENOMES, GENETICS May 1, 2019, v.9 (5), p. 1519-1531. OPEN ACCESS. |
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DOI : |
10.1534/g3.119.400064 |
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Idioma : |
Inglés |
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Notas : |
Article history: Manuscript received February 6, 2019 // Accepted for publication March 5, 2019// Published Early Online March 15, 2019.
Supplemental material available at Figshare: https://doi.org/10.25387/g3.7685636 |
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Contenido : |
Understanding the genetic and environmental basis of genotype · environment interaction (G·E) is of fundamental importance in plant breeding. If we consider G·E in the context of genotype · year interactions (G·Y), predicting which lines will have stable and superior performance across years is an important challenge for breeders. A better understanding of the factors that contribute to the overall grain yield and quality of rice (Oryza sativa L.) will lay the foundation for developing new breeding and selection strategies for combining high quality, with high yield. In this study, we used molecular marker data and environmental covariates (EC) simultaneously to predict rice yield, milling quality traits and plant height in untested environments (years), using both reaction norm models and partial least squares (PLS), in two rice breeding populations (indica and tropical japonica). We also sought to explain G·E by differential quantitative trait loci (QTL) expression in relation to EC. Our results showed that PLS models trained with both molecular markers and EC gave better prediction accuracies than reaction norm models when predicting future years. We also detected milling quality QTL that showed a differential expression conditional on humidity and solar radiation, providing insight for the main environmental factors affecting milling quality in subtropical and temperate rice growing areas. |
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Palabras claves : |
ENVIRONMENTAL COVARIATES; GENOMIC PREDICTIONS; GENOTYPE BY ENVIRONMENT INTERACTION; QTL BY ENVIRONMENT INTERACTION. |
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Thesagro : |
ARROZ; FITOMEJORAMIENTO; RICE. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12705/1/Blanco-Genes-Genomes-Genetics-2019.pdf
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Marc : |
LEADER 02649naa a2200313 a 4500
001 1059786
005 2019-10-11
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1534/g3.119.400064$2DOI
100 1 $aMONTEVERDE, E.
245 $aIntegrating molecular markers and environmental covariates to interpret genotype by environment interaction in rice (Oryza sativa L.) grown in subtropical areas.$h[electronic resource]
260 $c2019
500 $aArticle history: Manuscript received February 6, 2019 // Accepted for publication March 5, 2019// Published Early Online March 15, 2019. Supplemental material available at Figshare: https://doi.org/10.25387/g3.7685636
520 $aUnderstanding the genetic and environmental basis of genotype · environment interaction (G·E) is of fundamental importance in plant breeding. If we consider G·E in the context of genotype · year interactions (G·Y), predicting which lines will have stable and superior performance across years is an important challenge for breeders. A better understanding of the factors that contribute to the overall grain yield and quality of rice (Oryza sativa L.) will lay the foundation for developing new breeding and selection strategies for combining high quality, with high yield. In this study, we used molecular marker data and environmental covariates (EC) simultaneously to predict rice yield, milling quality traits and plant height in untested environments (years), using both reaction norm models and partial least squares (PLS), in two rice breeding populations (indica and tropical japonica). We also sought to explain G·E by differential quantitative trait loci (QTL) expression in relation to EC. Our results showed that PLS models trained with both molecular markers and EC gave better prediction accuracies than reaction norm models when predicting future years. We also detected milling quality QTL that showed a differential expression conditional on humidity and solar radiation, providing insight for the main environmental factors affecting milling quality in subtropical and temperate rice growing areas.
650 $aARROZ
650 $aFITOMEJORAMIENTO
650 $aRICE
653 $aENVIRONMENTAL COVARIATES
653 $aGENOMIC PREDICTIONS
653 $aGENOTYPE BY ENVIRONMENT INTERACTION
653 $aQTL BY ENVIRONMENT INTERACTION
700 1 $aGUTIERREZ, L.
700 1 $aBLANCO, P.H.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aROSAS, J.E.
700 1 $aBONNECARRERE, V.
700 1 $aQUERO, G.
700 1 $aMCCOUCH, SUSAN
773 $tG3: GENES, GENOMES, GENETICS May 1, 2019$gv.9 (5), p. 1519-1531. OPEN ACCESS.
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INIA Treinta y Tres (TT) |
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| Registros recuperados : 31 | |
| 4. |  | ROEL, A.; CAPURRO, M.C.; RICCETTO, S. Manejo del riego: productividad del agua. In: PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ; JORNADA ANUAL ARROZ-SOJA, 2013, INIA TREINTA Y TRES, UY. Arroz-soja: resultados experimentales 2012-2013. Treinta y Tres: INIA, 2013. c. 2, p. 1-3. (Serie Actividades de Difusión, 713).| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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| 5. | | RICCETTO, S.; CAPURRO, M.C.; ROEL, A. Irrigation management alternatives that mantain high productivity while using less water in uruguayan rice. Abstract. Agrociencia Uruguay, 2015, v.19, Special Issue, Congreso CIGR. 3r. Inter-Regional CIGR Conference on Land and Water Challenges: Tools for developing "Dr. Mario García Petillo" p. 74. 1510-0839 EDITORIAL BOARD SPECIAL ISSUE: García, C. (Instituto Nacional de Investigación Agropecuaria); Puppo, L. (Universidad de la República, Facultad de Agronomía); Tarjuelo, J.M. (Univ. Castilla-La Mancha, España); Carsjens, G-.J....| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Treinta y Tres. |
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| 9. | | ILLARZE, G.; DEL PINO, A.; RICCETTO, S.; IRISARRI, P. Emisión de óxido nitroso, nitrificación, desnitrificación y mineralización de nitrógeno durante el cultivo del arroz en 2 suelos de Uruguay = Nitrous oxide emission, nitrification, denitrification and nitrogen mineralization during rice growing season in 2 soils from Uruguay. Revista Argentina de Microbiología, 2018; 50(1), p. 97-104. Historia del artículo: Recibido el 15 de agosto de 2016; aceptado el 9 de mayo de 2017; disponible en Internet el 23 de septiembre de 2017.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Treinta y Tres. |
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| 11. | | CARRACELAS, G.; RICCETTO, S.; ROEL, A.; HUERTAS, R.; VERGER, M. Manejo de riego y variedades de arroz. Determinación de concentraciones de As en grano, suelo y agua: Paso Farías, Artigas. In: Día de Campo, arroz, 7 de febrero, Zona Norte, Paso Farías, Artigas / 8 de febrero, Zona Centro, Pueblo del Barro, Tacuarembó, 2017. Tacuarembó (Uruguay): INIA, 2017. p. 31-33| Biblioteca(s): INIA Tacuarembó. |
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| 15. | | RICCETTO, S.; MACEDO, I.; GASO, D.; TERRA, J.A. Soybean yield potential under contrasting maturity groups, plant population and soil water regimenes in eastern Uruguay. Abstract. Agrociencia Uruguay, 2015, v.19, Special Issue, Congreso CIGR. 3r. Inter-Regional CIGR Conference on Land and Water Challenges: Tools for developing "Dr. Mario García Petillo" p. 41. EDITORIAL BOARD SPECIAL ISSUE: García, C. (Instituto Nacional de Investigación Agropecuaria); Puppo, L. (Universidad de la República, Facultad de Agronomía); Tarjuelo, J.M. (Univ. Castilla-La Mancha, España); Carsjens, G-.J....| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Treinta y Tres. |
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| 19. | | CAPURRO, M.C.; CANTOU, G.; ROEL, A.; IRISARRI, P.; TARLERA, S.; FERNÁNDEZ, A.; RICCETTO, S. Cuantificación de las emisiones de metano y óxido nitroso en el cultivo de arroz In: PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ; JORNADA ANUAL ARROZ-SOJA, 2013, INIA TREINTA Y TRES, UY. Arroz-soja: resultados experimentales 2012-2013. Treinta y Tres: INIA, 2013. cap. 2, p. 7-9 (INIA Serie Actividades de Difusión ; 713)| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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| 20. | | CARRACELAS, G.; HORNBUCKLE, J.; VERGER, M.; HUERTAS, R.; RICCETTO, S.; CAMPOS, F.; ROEL, A. Efectos del manejo del riego y variedades en los niveles de arsénico acumulado en arroz. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 93-96. (INIA Serie Técnica; 257)| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 31 | |
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