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| Registros recuperados : 10 | |
| 2. |  | GALLINO, J.P.; RUIBAL, C.; CASARETTO, E.; FLEITAS, A.L.; BONNECARRERE, V.; BORSANI, O.; VIDAL, S. A dehydration-induced eukaryotic translation initiation factor iso4G identified in a slow wilting soybean cultivar enhances abiotic stress tolerance in Arabidopsis. Frontiers in Plant Science, 2018, v.9, Article number 262. (2 March 2018). OPEN ACCESS Article history: Received: 22 December 2017; Accepted: 14 February 2018; Published: 02 March 2018.| Biblioteca(s): INIA Las Brujas. |
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| 3. | | IRISARRI, P.; SOTELO, M.; CASARETTO, E.; BORSANI, O.; ZARZA, R.; REBUFFO, M.; MONZA, J. Diversidad genética de rizobios nativos aislados de nódulos de Lotus corniculatus en Uruguay. In: SIMPOSIO DE RECURSOS GENÉTICOS PARA AMERICA LATINA Y EL CARIBE, 7., 2009, Pucón, CL. Proceedings. [Temuco, CL: INIA], 2009. v. 2, p. 81-82.| Biblioteca(s): INIA La Estanzuela. |
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| 4. | | SOTELO, M.; IRISARRI, P.; LORITE, M.J.; CASARETTO, E.; REBUFFO, M.; SANJUAN, J.; MONZA, J. Diversity of rhizobia nodulating Lotus corniculatus grown in northern and southern regions of Uruguay. Applied Soil Ecology,Volume 49, September 2011, Pages 197-207. Article history: Article history: Received 6 October 2010/Received in revised form 12 May 2011/Accepted 13 May 2011.| Biblioteca(s): INIA La Estanzuela. |
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| 5. | | BORSANI, O.; CASARETTO, E.; MÁRQUEZ, A.J.; REBUFFO, M.; DÍAZ, P.; MONZA, J. Metabolismo de prolina en cultivares de Trifolium pratense con diferente producción estival. In: BONETE, M.J.; MARTÍNEZ-ESPINOSA, R.M. (Coord.). Avances en el metabolismo del nitrógeno: de la genómica y la proteómica a las aplicaciones agronómicas, industriales y medioambientales. [San Vicente, Alicante], ES: Club Universitario, 2010. p. 319-325.| Biblioteca(s): INIA La Estanzuela. |
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| 6. | | SIMONDI, S.; CASARETTO, E.; QUERO, S.; CERETTA, S.; BONNECARRERE, V.; BORSANI, O. A simple and accurate method based on a water-consumption model for phenotyping soybean genotypes under hydric deficit conditions. Agronomy, 2022, Volume 12, Issue 3, Article number 575. GOLD OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12030575 Article history: Received 14 December 2021; Revised 17 February 2022; Accepted 24 February 2022; Published 25 February 2022.
Corresponding author: Borsani, O.; Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la...| Biblioteca(s): INIA Las Brujas. |
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| 7. | | VIDAL, S.; GALLINO, J.P.; RIVERO, Y.; RUIBAL, C.; FLEITAS, L.; CASTILLO, A.; CERETTA, S.; CASARETTO, E.; BORSANI, O. Biotecnología aplicada al mejoramiento genético de la soja. Montevideo (UY): INIA, 2018. 37 p. (Serie FPTA-INIA; 68) Proyecto FPTA-309: Biotecnología aplicada al mejoramiento genético de la soja. Período de ejecución: Mayo 2014-Noviembre 2017. Institución Ejecutora: Universidad de la República, Facultad de Ciencias. Responsable del Proyecto: Sabina Vidal.| Biblioteca(s): INIA Las Brujas. |
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| 8. | | SOTELO, M.; IRISARRI, P.; LORITE, M.J.; CASARETTO, E.; BORSANI, O.; CUITIÑO, M.J.; REBUFFO, M.; SANJUAN, J.; MONZA, J. Characterization of the genetic diversity of rhizobia isolated from nodules of Lotus corniculatus and response to inoculation in Uruguay. Lotus Newsletter, v. 41, p. 7-9, 2011. En prensa.| Biblioteca(s): INIA La Estanzuela. |
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| 9. | | BERGER, A.; BONNECARRERE, V.; BORSANI, O.; CASARETTO, E.; CASTILLO, A.; CASTRO, A.; CERETTA, S.; FLEITAS, L.; GALLINO, J.P.; GARAYCOCHEA, S.; IRIARTE, W.; KAVANOVÁ, M.; QUERO, G.; REY, E.; RUIBAL, C.; SIMONDI, S.; VIDAL, S. Aproximaciones genómicas, fisiológicas y de mejoramiento para incrementar la tolerancia a sequía en soja. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, X. Encuentro Nacional de REDBIO, II. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2017. (Serie Actividades de Difusión; 780)| Biblioteca(s): INIA Las Brujas. |
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| 10. | | REBUFFO, M.; ZARZA, R.; BORSANI, O.; CASARETTO, E.; MESSA, A.; SAINZ, M.M.; SALDIAS, R.; ALZUGARAY, R.; CONDON, F.; DIAZ, P.; MONZA, J.; RISSO, D.; BEMHAJA, M.; BERMÚDEZ, R.; AYALA, W.; ALTIER, N.; ZARZA, M. Genetic resources of forage legumes for agriculture-pastoral system in Uruguay. Lotus Newsletter, 2007, Volume 37, Issue 2, pages 56.| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 10 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
15/03/2022 |
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Actualizado : |
15/03/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
SIMONDI, S.; CASARETTO, E.; QUERO, S.; CERETTA, S.; BONNECARRERE, V.; BORSANI, O. |
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Afiliación : |
SEBASTIÁN SIMONDI, Área de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (FCEN-UNCuyo), Padre Contreras 1300, Mendoza M5502JMA, Argentina; ESTEBAN CASARETTO, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Garzón 809, Montevideo 12900, Uruguay; SEBASTIÁN QUERO, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Garzón 809, Montevideo 12900, Uruguay; SERGIO EDUARDO CERETTA SORIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OMAR BORSANI, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Garzón 809, Montevideo 12900, Uruguay. |
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Título : |
A simple and accurate method based on a water-consumption model for phenotyping soybean genotypes under hydric deficit conditions. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Agronomy, 2022, Volume 12, Issue 3, Article number 575. GOLD OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12030575 |
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ISSN : |
2073-4395 |
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DOI : |
10.3390/agronomy12030575 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 14 December 2021; Revised 17 February 2022; Accepted 24 February 2022; Published 25 February 2022.
Corresponding author: Borsani, O.; Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Garzón 809, Montevideo, Uruguay; email:oborsani@fagro.edu.uy -- This article belongs to the Special Issue Plant Responses to Stress and Environmental Stimulus: https://www.mdpi.com/journal/agronomy/special_issues/environmental_stimulus -- Supplementary Material:
https://www.mdpi.com/2073-4395/12/3/575/s1 -- This research was funded by the following projects: CSIC-UdelaR Grupo 418 Estrés abiótico en plantas; Innovagro FSA_1_2013_1_12924, funded by Agencia Nacional de Investigación e Innovación; and Red Nacional de Biotecnología Agrícola, RTS_1_2014_1, funded by Agencia Nacional de Investigación e Innovación, Instituto Nacional de Investigación Agropecuaria, Barraca Erro S.A., Lebu SRL, Fadisol SA, CALMER and COPAGRAN. |
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Contenido : |
ABSTRACT. - Drought limits crop productivity and reduces yield stability. Drought tolerance as a selection criterion in breeding programs requires the development of high-throughput, precise, and low-cost phenotyping strategies. We developed a mathematical model, based on biological approaches, for evaluating soybean plants? response to drought under controlled growth conditions. The model describes the kinetics of water consumption of a plant pot substrate system (PPS) with low sampling requirements. The model generated two parameters, t0.5 (time necessary for the PPS to reach half of the maximum amount of evapotranspirable water) and Gw(t0.5 ) (stomatal conductance [Gw] at t0.5 ), which determined the water-consumption curve of each genotype. An analysis of the kinetics of water consumption in response to a progressive water deficit in a biparental and breeding population was performed as a preliminary test of the model. A correspondence analysis between the t0.5 and Gw(t0.5 ) parameters with the genetic structure of the populations shows a genetic association. The phenotyping methodology presented in this work and drought susceptibility in field conditions are discussed based on previous results. This work could be useful for improving the selection of soybean genotypes in relation to their performance under drought conditions. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
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Palabras claves : |
Crop breeding; Drought; Mathematical modeling; Stomatal conductance. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://www.mdpi.com/2073-4395/12/3/575/pdf
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Marc : |
LEADER 03260naa a2200265 a 4500
001 1062834
005 2022-03-15
008 2022 bl uuuu u00u1 u #d
022 $a2073-4395
024 7 $a10.3390/agronomy12030575$2DOI
100 1 $aSIMONDI, S.
245 $aA simple and accurate method based on a water-consumption model for phenotyping soybean genotypes under hydric deficit conditions.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 14 December 2021; Revised 17 February 2022; Accepted 24 February 2022; Published 25 February 2022. Corresponding author: Borsani, O.; Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Garzón 809, Montevideo, Uruguay; email:oborsani@fagro.edu.uy -- This article belongs to the Special Issue Plant Responses to Stress and Environmental Stimulus: https://www.mdpi.com/journal/agronomy/special_issues/environmental_stimulus -- Supplementary Material: https://www.mdpi.com/2073-4395/12/3/575/s1 -- This research was funded by the following projects: CSIC-UdelaR Grupo 418 Estrés abiótico en plantas; Innovagro FSA_1_2013_1_12924, funded by Agencia Nacional de Investigación e Innovación; and Red Nacional de Biotecnología Agrícola, RTS_1_2014_1, funded by Agencia Nacional de Investigación e Innovación, Instituto Nacional de Investigación Agropecuaria, Barraca Erro S.A., Lebu SRL, Fadisol SA, CALMER and COPAGRAN.
520 $aABSTRACT. - Drought limits crop productivity and reduces yield stability. Drought tolerance as a selection criterion in breeding programs requires the development of high-throughput, precise, and low-cost phenotyping strategies. We developed a mathematical model, based on biological approaches, for evaluating soybean plants? response to drought under controlled growth conditions. The model describes the kinetics of water consumption of a plant pot substrate system (PPS) with low sampling requirements. The model generated two parameters, t0.5 (time necessary for the PPS to reach half of the maximum amount of evapotranspirable water) and Gw(t0.5 ) (stomatal conductance [Gw] at t0.5 ), which determined the water-consumption curve of each genotype. An analysis of the kinetics of water consumption in response to a progressive water deficit in a biparental and breeding population was performed as a preliminary test of the model. A correspondence analysis between the t0.5 and Gw(t0.5 ) parameters with the genetic structure of the populations shows a genetic association. The phenotyping methodology presented in this work and drought susceptibility in field conditions are discussed based on previous results. This work could be useful for improving the selection of soybean genotypes in relation to their performance under drought conditions. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
653 $aCrop breeding
653 $aDrought
653 $aMathematical modeling
653 $aStomatal conductance
700 1 $aCASARETTO, E.
700 1 $aQUERO, S.
700 1 $aCERETTA, S.
700 1 $aBONNECARRERE, V.
700 1 $aBORSANI, O.
773 $tAgronomy, 2022, Volume 12, Issue 3, Article number 575. GOLD OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12030575
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