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| Registros recuperados : 9 | |
| 4. |  | PORCILE, V.; GÓMEZ MILLER, R.; ALBIN, A.; JACKSON, T. Uruguayan family farming improvement project. T8. Co-design and co-innovation with farmers and stakeholders: methods, results and challenges. In: Proceedings of the 5th international symposium for farming systems design. Multi-functional farming systems in a changing world. Montpellier (Francia): European Society of Agronomy, 2015. p. 327-328 T8. Co-design and co-innovation with farmers and stakeholders: methods, results and challenges.
Chair: Michel Duru, INRA. Co-chairs: Santiago Dogliotti, Universidad de la Republic & Marie-Hélène Jeuffroy, INRA| Biblioteca(s): INIA Las Brujas. |
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| 5. | | RIVAS, F.; HAMPTON, J.; ALTIER, N.; WESSMAN, P.; JACKSON, T.; TRAVIS, G. Aplicación de microesclerocios del hongo entomopatógeno. Metarhizium spp. en coberturas de semillas para el control biológico de enfermedades y plagas de suelo. [resumen] In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, XI. Encuentro Nacional de REDBIO, III. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2018. p.17-18. (Serie Actividades de Difusión; 786)| Biblioteca(s): INIA Las Brujas. |
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| 6. | | RIVAS, F.; HAMPTON, J.G.; ALTIER, N.; ROSTÁS, M.; WESSMAN, P.; JACKSON, T.A.; GLARE, T.R. Delivery of the entomopathogenic fungus Metarhizium spp. in seed coatings for plant growth promotion and plant protection against pests and diseases. (O19-5). [Abstract] XIX International Plant Protection Congress, IPPC 2019. 10-14 November 2019, Hyderabad, Telangana, India. "Crop Protection to Outsmart Climate Change for Food Security & Environmental Conservation". Organized by ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). In: INTERNATIONAL PLANT PROTECTION CONGRESS, 19, 2019, Hyderabad, India. Abstract Book... Hyderabad: IPPC, 2019. p. 100.| Biblioteca(s): INIA Las Brujas. |
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| 7. | | RIVAS, F.; HAMPTON, J.G.; NARCISO, J.; ROSTÁS, M.; WESSMAN, P.; SAVILLE, D.J.; JACKSON, T.A.; GLARE, T.R. Effects of a maize root pest and fungal pathogen on entomopathogenic fungal rhizosphere colonization, endophytism and induction of plant hormones. Biological Control, November 2020, Volume 150, Article number 104347. Doi: https://doi.org/10.1016/j.biocontrol.2020.104347 Article history: Received 16 March 202 // Revised 12 June 2020 // Accepted 15 June 2020 // Available online 18 June 2020.
Corresponding author: Rivas-Franco, F.; Plataforma de Bioinsumos, National Institute for Agricultural Research...| Biblioteca(s): INIA Las Brujas. |
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| 9. | | RIVAS, F.; HAMPTON, J.G.; ALTIER, N.; SWAMINATHAN, J.; ROSTÁS, M.; WESSMAN, P.; SAVILLE, D. J.; JACKSON, T. A.; JACKSON, M. A.; GLARE, T. R. Production of Microsclerotia from entomopathogenic fungi and use in maize seed coating as delivery for biocontrol against Fusarim graminearum. Frontiers in Sustainable Food Systems, December, 2020, volume 4, Article number 606828, Pages 1-13.Open Access. Doi: https://doi.org/10.3389/fsufs.2020.606828 Article history: Received: 15 September 2020 / Accepted: 30 October 2020 / Published: 10 December 2020.
Correspondence: Federico Rivas-Franco frivas@inia.org.uy| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 9 | |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
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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Circulación / Nivel : |
-- - -- |
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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 : |
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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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