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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
24/02/2022 |
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Actualizado : |
29/03/2022 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
LADO, J.; CRONJE, P.JR; RODRIGO, M.J.; ZACARÍAS, L. |
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Afiliación : |
JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PAUL JR CRONJE; MARÍA JESÚS RODRIGO; LORENZO ZACARÍAS. |
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Título : |
Citrus. |
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Complemento del título : |
Chapter 17. |
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Edición : |
1st ed. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
In: Pareek, S.T.D.F.S. Postharvest Physiological Disorders in Fruits and Vegetables, Boca de Raton: CRC Press, 2019. |
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Páginas : |
p. 321-341. |
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ISBN : |
eBook-9781315267470 |
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Idioma : |
Inglés |
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Contenido : |
Abstract:
The incidence of physiological disorders originating during postharvest handling and storage in citrus fruits have been for many years, and will continue to be, one of the main factors that negatively impacts fruit quality, accounting for significant financial losses. Postharvest physiological disorders of citrus fruit, in most cases, affect mainly the peel and manifest as injuries, pitting, darkening of the tissue, and browning, whereas the pulp, which is a physiologically separate unit of the fruit, remains unaffected. Low temperature storage is the most widely applied technology to extend the postharvest life of citrus fruit. The characteristic darkening of most chilling-injured fruit is most likely due to the internal release and oxidation of the contents of oil glands. Cold also provokes important modifications in the cell wall structure. CI development in citrus fruit has been associated with the production of reactive oxygen species (ROS), which are directly involved in the oxidative stress damage of different molecules. |
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Palabras claves : |
ALMACENAMIENTO POSCOSECHA; CITRUS; CITRUS FRUITS; DESÓRDENES FISIOLÓGICOS; MANEJO POSCOSECHA; PLATAFORMA AGROALIMENTOS; POSTHARVEST HANDLING; STORAGE. |
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Thesagro : |
CITRICOS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 01857naa a2200289 a 4500
001 1062768
005 2022-03-29
008 2019 bl uuuu u00u1 u #d
100 1 $aLADO, J.
245 $aCitrus.$h[electronic resource]
250 $a1st ed.
260 $c2019
300 $ap. 321-341.
520 $aAbstract: The incidence of physiological disorders originating during postharvest handling and storage in citrus fruits have been for many years, and will continue to be, one of the main factors that negatively impacts fruit quality, accounting for significant financial losses. Postharvest physiological disorders of citrus fruit, in most cases, affect mainly the peel and manifest as injuries, pitting, darkening of the tissue, and browning, whereas the pulp, which is a physiologically separate unit of the fruit, remains unaffected. Low temperature storage is the most widely applied technology to extend the postharvest life of citrus fruit. The characteristic darkening of most chilling-injured fruit is most likely due to the internal release and oxidation of the contents of oil glands. Cold also provokes important modifications in the cell wall structure. CI development in citrus fruit has been associated with the production of reactive oxygen species (ROS), which are directly involved in the oxidative stress damage of different molecules.
650 $aCITRICOS
653 $aALMACENAMIENTO POSCOSECHA
653 $aCITRUS
653 $aCITRUS FRUITS
653 $aDESÓRDENES FISIOLÓGICOS
653 $aMANEJO POSCOSECHA
653 $aPLATAFORMA AGROALIMENTOS
653 $aPOSTHARVEST HANDLING
653 $aSTORAGE
700 1 $aCRONJE, P.JR
700 1 $aRODRIGO, M.J.
700 1 $aZACARÍAS, L.
773 $tIn: Pareek, S.T.D.F.S. Postharvest Physiological Disorders in Fruits and Vegetables, Boca de Raton: CRC Press, 2019.
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INIA La Estanzuela (LE) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
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Fecha actual : |
25/01/2019 |
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Actualizado : |
22/12/2020 |
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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 : |
PRAVIA, V.; KEMANIAN, A. R.; TERRA, J.A.; SHI, Y.; MACEDO, I.; GOSLEE, S. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ARMEN R. KEMANIAN, Department of Plant Science, The Pennsylvania State University, USA.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; YUNING SHI, Department of Ecosystem Science and Management, The Pennsylvania State University, USA.; IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SARAH GOSLEE, Pasture Systems and Watershed Management Research Unit, USDA-ARS, USA. |
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Título : |
Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agricultural Systems, May 2019, volume 171, pages 13-22. |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2018.11.001 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 30 December 2017 // Received in revised form 2 November 2018 // Accepted 2 November 2018.
Funding for this work was provided by the Instituto Nacional de Investigación Agropecuaria (INIA-Uruguay) and the USDA-ARS Research Agreement Contract #58-1902-1-165 (Modeling of multispecies pasture growth and management). Appendices. |
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Contenido : |
ABSTRACT.
Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that Cs saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling Cs saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems.
© 2018 Elsevier Ltd MenosABSTRACT.
Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N a... Presentar Todo |
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Palabras claves : |
AGROECOSYSTEM MODELING; CROP PASTURE INTERSEEDNG; LONG-TERM EXPERIMENTS; SOIL ORGANIC MATTER. |
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Thesagro : |
CARBONO ORGANICO DEL SUELO. |
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Asunto categoría : |
--
P34 Biología del suelo |
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Marc : |
LEADER 03007naa a2200277 a 4500
001 1059451
005 2020-12-22
008 2019 bl uuuu u00u1 u #d
022 $a0308-521X
024 7 $a10.1016/j.agsy.2018.11.001$2DOI
100 1 $aPRAVIA, V.
245 $aSoil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 30 December 2017 // Received in revised form 2 November 2018 // Accepted 2 November 2018. Funding for this work was provided by the Instituto Nacional de Investigación Agropecuaria (INIA-Uruguay) and the USDA-ARS Research Agreement Contract #58-1902-1-165 (Modeling of multispecies pasture growth and management). Appendices.
520 $aABSTRACT. Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that Cs saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling Cs saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems. © 2018 Elsevier Ltd
650 $aCARBONO ORGANICO DEL SUELO
653 $aAGROECOSYSTEM MODELING
653 $aCROP PASTURE INTERSEEDNG
653 $aLONG-TERM EXPERIMENTS
653 $aSOIL ORGANIC MATTER
700 1 $aKEMANIAN, A. R.
700 1 $aTERRA, J.A.
700 1 $aSHI, Y.
700 1 $aMACEDO, I.
700 1 $aGOSLEE, S.
773 $tAgricultural Systems, May 2019, volume 171, pages 13-22.
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