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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
29/05/2019 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
MONTEVERDE, E.; GUTIERREZ, L.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; BONNECARRERE, V.; QUERO, G.; MCCOUCH, SUSAN |
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. |
Título : |
Integrating molecular markers and environmental covariates to interpret genotype by environment interaction in rice (Oryza sativa L.) grown in subtropical areas. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
G3: GENES, GENOMES, GENETICS May 1, 2019, v.9 (5), p. 1519-1531. OPEN ACCESS. |
DOI : |
10.1534/g3.119.400064 |
Idioma : |
Inglés |
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 |
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. |
Palabras claves : |
ENVIRONMENTAL COVARIATES; GENOMIC PREDICTIONS; GENOTYPE BY ENVIRONMENT INTERACTION; QTL BY ENVIRONMENT INTERACTION. |
Thesagro : |
ARROZ; FITOMEJORAMIENTO; RICE. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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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Registro original : |
INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
Fecha actual : |
21/02/2014 |
Actualizado : |
14/10/2019 |
Tipo de producción científica : |
Boletín de Divulgación |
Autor : |
PERRACHÓN, R.; PEINADO, G.; GANZABAL, A.; MONTOSSI, F.; BANCHERO, G.; SAN JULIÁN, R.; DE BARBIERI, I. |
Afiliación : |
ROBERTO PERRACHÓN; GUSTAVO PEINADO; ANDRES RICARDO GANZABAL PLANINICH, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROBERTO SAN JULIAN SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Sistemas ovinos intensivos del litoral sur del Uruguay: enfoques de la investigación, transferencia de tecnología y producción |
Fecha de publicación : |
2001 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2001. |
Páginas : |
79 p. |
Serie : |
(INIA Boletín de Divulgación ; 78) |
ISBN : |
9974-38-134-7 |
ISSN : |
1510-7396 |
Idioma : |
Español |
Thesagro : |
CRIANZA INTENSIVA; MODELO AGRÍCOLA-OVINO; OVINOS; PASTOREO INTENSIVO; PRODUCCION INTENSIVA; URUGUAY. |
Asunto categoría : |
-- L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/2777/1/15630031107111643.pdf
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Marc : |
LEADER 00850nam a2200289 a 4500 001 1002848 005 2019-10-14 008 2001 bl uuuu u00u1 u #d 020 $a9974-38-134-7 022 $a1510-7396 100 1 $aPERRACHÓN, R. 245 $aSistemas ovinos intensivos del litoral sur del Uruguay$benfoques de la investigación, transferencia de tecnología y producción 260 $aMontevideo (Uruguay): INIA$c2001 300 $a79 p. 490 $a(INIA Boletín de Divulgación ; 78) 650 $aCRIANZA INTENSIVA 650 $aMODELO AGRÍCOLA-OVINO 650 $aOVINOS 650 $aPASTOREO INTENSIVO 650 $aPRODUCCION INTENSIVA 650 $aURUGUAY 700 1 $aPEINADO, G. 700 1 $aGANZABAL, A. 700 1 $aMONTOSSI, F. 700 1 $aBANCHERO, G. 700 1 $aSAN JULIÁN, R. 700 1 $aDE BARBIERI, I.
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