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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
22/05/2023 |
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Actualizado : |
24/05/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Nacionales |
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Autor : |
IRISARRI, P.; PEREYRA, V.; FERNÁNDEZ, A.; TERRA, J.A.; TARLERA, S. |
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Afiliación : |
PILAR IRISARRI, Universidad de la República, Facultad de Agronomía, Departamento de Biología Vegetal, Montevideo, Uruguay; VIRGINIA PEREYRA, Universidad de la República, Facultad de Química, Laboratorio de Ecología Microbiana y Ambiental, Montevideo, Uruguay; ANA FERNÁNDEZ, Universidad de la República, Facultad de Química, Laboratorio de Ecología Microbiana y Ambiental, Montevideo, Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVANA TARLERA, Universidad de la República, Facultad de Química, Laboratorio de Ecología Microbiana y Ambiental, Montevideo, Uruguay. |
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Título : |
CH4 and N2O Emissions in a Rice Field: First Measurements in the Uruguayan Productive System. [Emisiones de CH4 y N2O en un arrozal: primeras medidas en el sistema productivo uruguayo]. [Special Issue 25 Years Agrociencia]. |
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Complemento del título : |
Plant Biology. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2022, vol. 26, NE2, e1083. doi: https://doi.org/10.31285/AGRO.26.1083 -- OPEN ACCESS. |
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ISSN : |
2730-5066 |
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DOI : |
10.31285/AGRO.26.1083 |
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Idioma : |
Inglés |
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Notas : |
Article history: Article originally published in: Agrociencia (Uruguay). 2012;16(2):1-10. doi: https://doi.org/10.31285/AGRO.17.533 -- Correspondence: Silvana Tarlera,
starlera@fq.edu.uy -- Special Issue 25 Years Agrociencia. -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/ ) |
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Contenido : |
ABSTRACT.- Irrigated rice fields are major sources of two important greenhouse gases (GHG), methane and nitrous oxide. As an initial step towards obtaining local information, emissions of CH4 and N2O from rice paddy soil were measured by the static chamber technique in greenhouse and field experiments conducted in eastern Uruguay. In the greenhouse experiment, the effect of two flooding moments (21 and 45 days after emergence) and nitrogen fertilization (0 and 50 kg N ha-1) on gas emissions was studied. Early flooding and nitrogen fertilization tended to increase N2O emissions. In the field experiment, effect of winter soil cover crop and nitrogen fertilization (0 and 82 kg N ha-1) were tested. Higher CH4 fluxes were observed mainly during the reproductive stage of the plant in the N-fertilized treatment with ryegrass winter crop. N2O flux peaked at flushing. Results indicate that the use of cover crops might increase GHG emissions during the rice cycle. Despite differences in agronomic management practices employed in Uruguay, CH4 and N2O fluxes are within magnitudes previ-ously reported for rice fields worldwide. .-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMEN.- Los arrozales son fuente de dos importantes gases de efecto invernadero (GEI), metano y óxido nitroso. Como un paso inicial hacia la obtención de información local, se midieron las emisiones de CH4 y N2O del suelo y de las plantas de arroz mediante la técnica de la cámara estática en experimentos en invernáculo y a campo en el este de Uruguay. En el experimento en invernáculo, se estudió el efecto del momento de inundación (21 y 45 días después de la emergencia) y de la fertilización nitrogenada (0 y 50 kg N ha-1) sobre las emisiones. La inundación temprana y la fertilización nitrogenada tendieron a aumentar las emisiones de N2O. En el experimento a campo, se estudió el efecto de la cobertura invernal y de la fertilización nitrogenada (0 y 82 kg N ha-1). Se detectaron mayores flujos de CH4 durante la etapa reproductiva de la planta en el tratamiento fertilizado con cobertura invernal previa de raigrás. El flujo de N2O fue máximo después de los baños. Los resultados indican que el uso del cultivo de cobertura podría incrementar las emisiones de GEI durante el ciclo del arroz. A pesar de las distintas prácticas de manejo del cultivo empleadas en Uruguay, los flujos de CH4 y N2O se encuentran dentro de los valores informados previamente para arrozales de otras partes del mundo. Copyright (c) 2022 Agrociencia Uruguay MenosABSTRACT.- Irrigated rice fields are major sources of two important greenhouse gases (GHG), methane and nitrous oxide. As an initial step towards obtaining local information, emissions of CH4 and N2O from rice paddy soil were measured by the static chamber technique in greenhouse and field experiments conducted in eastern Uruguay. In the greenhouse experiment, the effect of two flooding moments (21 and 45 days after emergence) and nitrogen fertilization (0 and 50 kg N ha-1) on gas emissions was studied. Early flooding and nitrogen fertilization tended to increase N2O emissions. In the field experiment, effect of winter soil cover crop and nitrogen fertilization (0 and 82 kg N ha-1) were tested. Higher CH4 fluxes were observed mainly during the reproductive stage of the plant in the N-fertilized treatment with ryegrass winter crop. N2O flux peaked at flushing. Results indicate that the use of cover crops might increase GHG emissions during the rice cycle. Despite differences in agronomic management practices employed in Uruguay, CH4 and N2O fluxes are within magnitudes previ-ously reported for rice fields worldwide. .-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMEN.- Los arrozales son fuente de dos importantes gases de efecto invernadero (GEI), metano y óxido nitroso. Como un paso inicial hacia la obtención de información local, se midieron las emisiones de CH4 y N2O del suelo y de las plantas de arroz mediante la técnica de la cámara estática en experimentos en invernáculo y a cam... Presentar Todo |
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Palabras claves : |
Fertilización N; Gases de efecto invernadero; Greenhouse gases; N fertilization; Rice paddy soil; Suelo inundado cultivado con arroz. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17167/1/2730-5066-1083.pdf
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Marc : |
LEADER 03911naa a2200277 a 4500
001 1064155
005 2023-05-24
008 2022 bl uuuu u00u1 u #d
022 $a2730-5066
024 7 $a10.31285/AGRO.26.1083$2DOI
100 1 $aIRISARRI, P.
245 $aCH4 and N2O Emissions in a Rice Field$bFirst Measurements in the Uruguayan Productive System. [Emisiones de CH4 y N2O en un arrozal: primeras medidas en el sistema productivo uruguayo]. [Special Issue 25 Years Agrociencia].$h[electronic resource]
260 $c2022
500 $aArticle history: Article originally published in: Agrociencia (Uruguay). 2012;16(2):1-10. doi: https://doi.org/10.31285/AGRO.17.533 -- Correspondence: Silvana Tarlera, starlera@fq.edu.uy -- Special Issue 25 Years Agrociencia. -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/ )
520 $aABSTRACT.- Irrigated rice fields are major sources of two important greenhouse gases (GHG), methane and nitrous oxide. As an initial step towards obtaining local information, emissions of CH4 and N2O from rice paddy soil were measured by the static chamber technique in greenhouse and field experiments conducted in eastern Uruguay. In the greenhouse experiment, the effect of two flooding moments (21 and 45 days after emergence) and nitrogen fertilization (0 and 50 kg N ha-1) on gas emissions was studied. Early flooding and nitrogen fertilization tended to increase N2O emissions. In the field experiment, effect of winter soil cover crop and nitrogen fertilization (0 and 82 kg N ha-1) were tested. Higher CH4 fluxes were observed mainly during the reproductive stage of the plant in the N-fertilized treatment with ryegrass winter crop. N2O flux peaked at flushing. Results indicate that the use of cover crops might increase GHG emissions during the rice cycle. Despite differences in agronomic management practices employed in Uruguay, CH4 and N2O fluxes are within magnitudes previ-ously reported for rice fields worldwide. .-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMEN.- Los arrozales son fuente de dos importantes gases de efecto invernadero (GEI), metano y óxido nitroso. Como un paso inicial hacia la obtención de información local, se midieron las emisiones de CH4 y N2O del suelo y de las plantas de arroz mediante la técnica de la cámara estática en experimentos en invernáculo y a campo en el este de Uruguay. En el experimento en invernáculo, se estudió el efecto del momento de inundación (21 y 45 días después de la emergencia) y de la fertilización nitrogenada (0 y 50 kg N ha-1) sobre las emisiones. La inundación temprana y la fertilización nitrogenada tendieron a aumentar las emisiones de N2O. En el experimento a campo, se estudió el efecto de la cobertura invernal y de la fertilización nitrogenada (0 y 82 kg N ha-1). Se detectaron mayores flujos de CH4 durante la etapa reproductiva de la planta en el tratamiento fertilizado con cobertura invernal previa de raigrás. El flujo de N2O fue máximo después de los baños. Los resultados indican que el uso del cultivo de cobertura podría incrementar las emisiones de GEI durante el ciclo del arroz. A pesar de las distintas prácticas de manejo del cultivo empleadas en Uruguay, los flujos de CH4 y N2O se encuentran dentro de los valores informados previamente para arrozales de otras partes del mundo. Copyright (c) 2022 Agrociencia Uruguay
653 $aFertilización N
653 $aGases de efecto invernadero
653 $aGreenhouse gases
653 $aN fertilization
653 $aRice paddy soil
653 $aSuelo inundado cultivado con arroz
700 1 $aPEREYRA, V.
700 1 $aFERNÁNDEZ, A.
700 1 $aTERRA, J.A.
700 1 $aTARLERA, S.
773 $tAgrociencia Uruguay, 2022, vol. 26, NE2, e1083. doi: https://doi.org/10.31285/AGRO.26.1083 -- OPEN ACCESS.
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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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