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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
05/06/2023 |
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Actualizado : |
05/06/2023 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
GARCIA-ROCHE, M.; CAÑIBE, G.; ASTESSIANO, A.; TALMON, D.; MENDOZA, A.; CASSINA, A.; QUIJANO, C.; CARRIQUIRY, M. |
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Afiliación : |
M. GARCÍA-ROCHE, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; Centro de Investigaciones Biomédicas (CEINBIO), Facultad de Medicina, Universidad de la República, Montevideo, Uruguay; G. CAÑIBE, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; A. ASTESSIANO, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; D. TALMON, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; ALEJANDRO FRANCISCO MENDOZA AGUIAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. CASSINA, Centro de Investigaciones Biomédicas (CEINBIO), Facultad de Medicina, Universidad de la República, Montevideo, Uruguay; C. QUIJANO, Centro de Investigaciones Biomédicas (CEINBIO), Facultad de Medicina, Universidad de la República, Montevideo, Uruguay; M. CARRIQUIRY, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
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Título : |
O14 Hepatic energy reserves and carnitine palmitoyltransferase activity in grazing dairy cows of two pasture-based systems during lactation. [conference abstract] |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Animal - science proceedings, August 2022, Volume 13, Issue 3, pages 260-261. https://doi.org/10.1016/j.anscip.2022.07.024 |
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ISSN : |
2772-283X |
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DOI : |
10.1016/j.anscip.2022.07.024 |
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Idioma : |
Inglés |
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Notas : |
Article histrory: Available online 16 September 2022, Version of Record 16 September 2022. -- Funding: MGR was supported by CAP fellowship BDDX_2018_1#49004502. The project was funded by CSIC I+D 2018 ID 103 awarded to MC and CQ and by Agencia Nacional de Investigación e Innovacion FSA_1_2018_1_152220 awarded to MC and AC; AM received funding from PL_21_0_00 of INIA. -- Animal - science proceedings, August 2022, Volume 13, Issue 3: Proceedings of the 7th EAAP International Symposium on Energy and Protein Metabolism and Nutrition (ISEP 2022). |
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Contenido : |
Mitochondrial fatty acid (FA) oxidation is a major source of energy, providing substrates for oxidative phosphorylation and ketogenesis. |
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Palabras claves : |
Energy metabolism; Fatty acid oxidation; Liver. |
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Asunto categoría : |
L50 Fisiología y bioquímica animal |
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URL : |
https://www.sciencedirect.com/science/article/pii/S2772283X22006859/pdf
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Marc : |
LEADER 01605naa a2200277 a 4500
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008 2022 bl uuuu u00u1 u #d
022 $a2772-283X
024 7 $a10.1016/j.anscip.2022.07.024$2DOI
100 1 $aGARCIA-ROCHE, M.
245 $aO14 Hepatic energy reserves and carnitine palmitoyltransferase activity in grazing dairy cows of two pasture-based systems during lactation. [conference abstract]$h[electronic resource]
260 $c2022
500 $aArticle histrory: Available online 16 September 2022, Version of Record 16 September 2022. -- Funding: MGR was supported by CAP fellowship BDDX_2018_1#49004502. The project was funded by CSIC I+D 2018 ID 103 awarded to MC and CQ and by Agencia Nacional de Investigación e Innovacion FSA_1_2018_1_152220 awarded to MC and AC; AM received funding from PL_21_0_00 of INIA. -- Animal - science proceedings, August 2022, Volume 13, Issue 3: Proceedings of the 7th EAAP International Symposium on Energy and Protein Metabolism and Nutrition (ISEP 2022).
520 $aMitochondrial fatty acid (FA) oxidation is a major source of energy, providing substrates for oxidative phosphorylation and ketogenesis.
653 $aEnergy metabolism
653 $aFatty acid oxidation
653 $aLiver
700 1 $aCAÑIBE, G.
700 1 $aASTESSIANO, A.
700 1 $aTALMON, D.
700 1 $aMENDOZA, A.
700 1 $aCASSINA, A.
700 1 $aQUIJANO, C.
700 1 $aCARRIQUIRY, M.
773 $tAnimal - science proceedings, August 2022, Volume 13, Issue 3, pages 260-261. https://doi.org/10.1016/j.anscip.2022.07.024
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Registro original : |
INIA Las Brujas (LB) |
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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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