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| Registros recuperados : 14 | |
| 1. |  | CAZZULI, F.; DURANTE, M.; HIRIGOYEN, A.; SÁNCHEZ, J.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; LATTANZI, F.; BREMM, C. Beef cattle grazing native grasslands may follow three different supplement response patterns. Grasses. 2023, Volume 2, Issue 3, pages 168-184. https://doi.org/10.3390/grasses2030014 --- OPEN ACCESS. Article history: Received 3 May 2023; Revised 1 July 2023; Accepted 13 July 2023; Published 7 August 2023. -- Academic Editor: Fabio Gresta. -- FUNDING: This research was funded by INIA Uruguay. -- LICENSE: This article is an open access...| Biblioteca(s): INIA Las Brujas. |
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| 2. | | CAZZULI, F.; BREMM, C.; JAURENA, M.; POPPI, D.; DURANTE, M.; BENVENUTTI, M.A.; SAVIAN, J.V.; DEVINCENZI, T.; ROVIRA, P.J.; LAGOMARSINO, X.; HIRIGOYEN, A.; LATTANZI, F. The defoliation dynamics of a stockpiled native grassland pasture follow similar patterns between supplemented and unsupplemented beef calves. Grass and Forage Science, 2023, Vol.78, Issue 2, pages 306-316. doi: https://doi.org/10.1111/gfs.12608 Article history: Received 24 November 2022; Revised 14 March 2023; Accepted 15 March 2023. -- Correspondence author: Cazzuli, F.; Instituto Nacional de Investigación Agropecuaria (INIA), Programa Pasturas y Forrajes, Estación...| Biblioteca(s): INIA Las Brujas. |
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| 3. | | CAZZULI, F.; DURANTE, M.; HIRIGOYEN, A.; SÁNCHEZ, J.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; LATTANZI, F.; BREMM, C. Dinámica de la respuesta a la suplementación invernal de bovinos en crecimiento sobre campo natural. Producción animal. Revista INIA Uruguay, Diciembre 2023, no.75 p.12-16. (Revista INIA; 75). *Grados.día: es una forma de estimar la temperatura acumulada, como la sumatoria de la diferencia entre la temperatura promedio de cada día y una
temperatura llamada "base", que en el caso de este estudio fue 0 °C. El día inicial de la...| Biblioteca(s): INIA Las Brujas. |
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| 4. | | CAZZULI, F.; SÁNCHEZ, J.; HIRIGOYEN, A.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; BREMM, C.; LATTANZI, F. Supplement feed efficiency of growing beef cattle grazing native Campos grasslands during winter: a collated analysis. Translational Animal Science. 2023, Volume 7, Issue 1, txad028. https://doi.org/10.1093/tas/txad028 -- OPEN ACCESS Article history: Received 03 October 2022; Accepted 09 March 2023; Published 10 March 2023; Corrected and typeset 01 April 2023. -- Corresponding author: fcazzuli@inia.org.uy -- Issue Section: Forage Based Livestock Systems. -- License:...| Biblioteca(s): INIA Las Brujas. |
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| 5. | | CAZZULI, F.; SÁNCHEZ, J.; HIRIGOYEN, A.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; BREMM, C.; LATTANZI, F. Eficiencia de uso de suplementos energético-proteicos en vacunos en invierno sobre campo natural: análisis de casi 30 años de ensayos nacionales. Producción Animal. Revista INIA Uruguay, Marzo 2022, no.68, p.19-22. (Revista INIA; 68).| Biblioteca(s): INIA Las Brujas. |
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| 6. | | NÚÑEZ, L.; HIRIGOYEN, A.; DURANTE, M.; ARROYO, J.; CAZZULI, F.; BREMM, C.; JAURENA, M. Qué factores controlan la proteína del forraje del campo natural?. Pasturas. Revista INIA Uruguay, Setiembre 2022, no.70, p.43-46. (Revista INIA; 70).| Biblioteca(s): INIA Las Brujas. |
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| 7. | | IRISARRI, J.G.N.; DURANTE, M.; DERNER, J.D.; OESTERHELD, M.; AUGUSTINE, D.J. Remotely sensed spatiotemporal variation in crude protein of shortgrass steppe forage. Remote Sensing, 2022, Volume 14, Issue 4, Article number 854. OPEN ACCESS. doi: https://doi.org/10.3390/rs14040854 Article history: Received: 4 January 2022; Revised: 28 January 2022; Accepted: 9 February 2022; Published: 11 February 2022.
Academic Editors: Matthew Reeves, Humberto L. Perotto-Baldivieso, Luciano A. Gonzalez and Edward C....| Biblioteca(s): INIA Las Brujas. |
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| 8. | | NÚÑEZ, L.; HIRIGOYEN, A.; DURANTE, M.; ARROYO, J.; CAZZULI, F.; BREMM, C.; JAURENA, M. What factors control the crude protein content variation of a basaltic "Campos" native grassland of South America? Agronomy, 2022, Volume 12, Issue 8, article 1756. OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12081756 Article history: Received 23 June 2022; Revised 14 July 2022; Accepted 19 July 2022; Published 26 July 2022.
Academic Editors: Edward B. Rayburn, Thomas C. Griggs and Deidre D. Harmon. -- This article belongs to the Special Issue...| Biblioteca(s): INIA Las Brujas. |
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| 10. | | DEVINCENZI, T.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; CIAPPESONI, G.; NAVAJAS, E.; CIGANDA, V.; LATTANZI, F.; PARUELO, J. Building the GLENCOE Platform -Grasslands LENding eConomic and ecOsystems sErvices. Frontiers in Sustainable Food Systems, June 2021, volume 516, Article 547301. OPEN ACCESS. Doi: https://doi.org/10.3389/fsufs.2021.547301 Article history: Received 31 March 2020, Accepted 26 April 2021, Published 16 June 2021.
Edited by: Iain James Gordon, Australian National University, Australia. Reviewed by: Karl Behrendt, Harper Adams University, United Kingdom;...| Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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| 11. | | CAZZULI, F.; JAURENA, M.; DURANTE, M.; CARDOZO, G.; RUGGIA, A.; BREMM, C.; LAGOMARSINO, X.; CUADRO, R.; ROVIRA, P.J.; POPPI, D.P.; LATTANZI, F. The final winter sward height of a native grassland pasture affects the quantity of the green biomass in spring. [abstract]. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.2. (Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) Corresponding author: F. Cazzulli, INIA Tacuarembó, Ruta 5 km 386, Tacuarembó, Uruguay. mailto:fcazzuli@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 12. | | JAURENA, M.; DURANTE, M.; DEVINCENZI, T.; SAVIAN, J.V.; BENDERSKY, D.; MOOJEN, F.G.; PEREIRA, M.; SOCA, P.; QUADROS, F.L.F.; PIZZIO, R.; NABINGER, C.; CARVALHO, P.C.F.; LATTANZI, F. Native Grasslands at the Core: A New Paradigm of Intensification for the Campos of Southern South America to Increase Economic and Environmental Sustainability Front. Sustain. Food Syst., 05 March 2021, OPEN ACCESS. DOI: https://doi.org/10.3389/fsufs.2021.547834 Article history: Received: 31 March 2020, Accepted: 07 January 2021, Published: 05 March 2021. ACKNOWLEDGMENTS: The authors gratefully acknowledge Fiorella Cazulli for the
English corrections.Correspondence: Martín Jaurena...| Biblioteca(s): INIA Tacuarembó. |
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| 13. | | BARBOSA, M.R.; JAURENA, M.; DURANTE, M.; SCHILD, C. Relación entre nitrógeno y fósforo en el forraje del campo natural en dos ambientes contrastantes. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Producción Animal Sostenible (Sustainable Animal Production Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.149-151. (Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1)| Biblioteca(s): INIA Las Brujas. |
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| 14. | | CRUZ, P.; LEZANA, L.; DURANTE, M.; JAURENA, M.; FIGARI, M.; DE OLIVEIRA, L.B.; THEAU, J.-P.; MASSA, E.; VIEGAS, J.; DE QUADROS, F.L.F. A functional classification of 63 common poaceae in the "campos" grasslands of South America. [Una clasificación funcional de 63 Poáceas comunes de los pastizales naturales de Sudamérica]. Ecologia Austral, August 2019, Volume 29, Issue 2, Pages 239-248. OPEN ACCESS. Article history: Recibido: 23 de Marzo de 2018 // Aceptado: 26 de Febrero de 2019.| Biblioteca(s): INIA Tacuarembó. |
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| Registros recuperados : 14 | |
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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. |
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Fecha actual : |
29/03/2021 |
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Actualizado : |
15/06/2022 |
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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 : |
SCHILLACI, C; PEREGO, A.; VALKAMA, E.; MÄRKER, M.; SAIA, S.; VERONESI, F.; LIPANI, A.; LOMBARDO, L.; TADIELLO, T.; GAMPER, H. A.; TEDONE, L.; MOSS, C.; PAREJA-SERRANO, E.; AMATO, G.; KÜHL, K.; DAMATIRCA, C.; COGATO, A.; MZID, N.; EESWARAN, R.; REBELO, M.; SPERANDIO, G.; BOSINO, A.; BUFALINI, M.; TUNÇAY, T.; DING, J.; FIORENTINI, M.; TISCORNIA, G.; CONRADT, S.; BOTTA, M.; ACUTIS, M. |
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Afiliación : |
CALOGERO SCHILLACI, Department of Agricultural and Environmental Science, University of Milan, Milan, Italy; ALESSIA PEREGO, Department of Agricultural and Environmental Science, University of Milan, Milan, Italy; ELENA VALKAMA, Natural Resources Institute Finland (Luke), Bioeconomy and Environment, Jokioinen, Finland; MICHAEL MÄRKER, Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy; SERGIO SAIA, Department of Veterinary Sciences, University of Pisa,Pisa, Italy; FABIO VERONESI, Water Research Centre Limited, Frankland Road, Blagrove, Swindon, England, UK; ALDO LIPANI, Department of Web Intelligence Group, University College London (UCL), London, England, UK; LUIGI LOMBARDO, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands; TOMMASO TADIELLO, Department of Agricultural and Environmental Science, University of Milan, Milan, Italy; HANNES A. GAMPER, Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy; LUIGI TEDONE, Department of Agricultural and Environmental Science, University of Bari Aldo Moro, Bari, Italy; CAMI MOSS, Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK; ELENA PAREJA-SERRANO, NRAE-UMR EMMAH, Domaine Saint Paul - Site Agroparc, Avignon, France; GABRIELE AMATO,, Applied Physics Institute, Nello Carrara - National Research Council of Italy (IFAC-CNR), Sesto Fiorentino (FI), Italy; KERSTEN KÜHL, Department of Geography, Ludwig-Maximilians-Universität München (LMU Munich), Germany; CLAUDIA DAMATIRCA, Department of Agricultural, Forest and Food Sciences, University of Torino, Grugliasco, Italy; ALESSIA COGATO, Department of Land, Environmental, Agriculture and Forestry, University of Padova, Legnaro, Italy; NADA MZID, Department of Agriculture Forestry and Nature (DAFNE), University of Tuscia, Viterbo, Italy; RASU EESWARAN, Department of Plant, Soil and Microbial Sciences, Michigan State University, MI, USA; MARYA REBELO, Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy; GIORGIO SPERANDIO, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; ALBERTO BOSINO, Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy; MARGHERITA BUFALINI, University of Camerino, School of Science and Technology-Geology Division, Camerino, Italy; TÜLAY TUNÇAY, Soil Fertilizer and Water Resources Central Research Institute, Ankara, Turkey; JIANQI DING, Department of Biological and Ecological Sciences DEB, Università della Tuscia, Viterbo, Italy; MARCO FIORENTINI, Department of Agricultural, Food and Environmental Sciences (D3A), Marche Polytechnic University, Ancona, Italy; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SARAH CONRADT, SCOR SE, Zurich Branch, Switzerland; MARCO BOTTA, Department of Agricultural and Environmental Science, University of Milan, Milan, Italy; MARCO ACUTIS, Department of Agricultural and Environmental Science, University of Milan,Milan, Italy. |
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Título : |
New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Science of The Total Environment, 2021, Volume 780, Article 146609. Doi: https://doi.org/10.1016/j.scitotenv.2021.146609 |
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DOI : |
10.1016/j.scitotenv.2021.146609 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 26 December 2020; Revised 24 February 2021; Accepted 16 March 2021; Available online 19 March 2021.
Incluye Supplementary data.
Editor: Manuel Esteban Lucas-Borja |
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Contenido : |
ABSTRACT.
For the estimation of the soil organic carbon stocks, bulk density (BD) is a fundamental parameter but measured data are usually not available especially when dealing with legacy soil data. It is possible to estimate BD by applying pedotransfer function (PTF). We applied different estimation methods with the aim to define a suitable PTF for BD of arable land for the Mediterranean Basin, which has peculiar climate features that may influence the soil carbon sequestration. To improve the existing BD estimation methods, we used a set of public climatic and topographic data along with the soil texture and organic carbon data. The present work consisted of the following steps: i) development of three PTFs models separately for top (0?0.4 m) and subsoil (0.4?1.2 m), ii) a 10-fold cross-validation, iii) model transferability using an external dataset derived from published data.
The development of the new PTFs was based on the training dataset consisting of World Soil Information Service (WoSIS) soil profile data, climatic data from WorldClim at 1 km spatial resolution and Shuttle Radar Topography Mission (SRTM) digital elevation model at 30 m spatial resolution.
The three PTFs models were developed using: Multiple Linear Regression stepwise (MLR-S), Multiple Linear Regression backward stepwise (MLR-BS), and Artificial Neural Network (ANN).
The predictions of the newly developed PTFs were compared with the BD calculated using the PTF proposed by Manrique and Jones (MJ) and the modelled BD derived from the global SoilGrids dataset.
© 2021 Published by Elsevier B.V. MenosABSTRACT.
For the estimation of the soil organic carbon stocks, bulk density (BD) is a fundamental parameter but measured data are usually not available especially when dealing with legacy soil data. It is possible to estimate BD by applying pedotransfer function (PTF). We applied different estimation methods with the aim to define a suitable PTF for BD of arable land for the Mediterranean Basin, which has peculiar climate features that may influence the soil carbon sequestration. To improve the existing BD estimation methods, we used a set of public climatic and topographic data along with the soil texture and organic carbon data. The present work consisted of the following steps: i) development of three PTFs models separately for top (0?0.4 m) and subsoil (0.4?1.2 m), ii) a 10-fold cross-validation, iii) model transferability using an external dataset derived from published data.
The development of the new PTFs was based on the training dataset consisting of World Soil Information Service (WoSIS) soil profile data, climatic data from WorldClim at 1 km spatial resolution and Shuttle Radar Topography Mission (SRTM) digital elevation model at 30 m spatial resolution.
The three PTFs models were developed using: Multiple Linear Regression stepwise (MLR-S), Multiple Linear Regression backward stepwise (MLR-BS), and Artificial Neural Network (ANN).
The predictions of the newly developed PTFs were compared with the BD calculated using the PTF proposed by Manrique and Jones (MJ) an... Presentar Todo |
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Palabras claves : |
Agriculture; Bulk density (BD); Pedotransfer functions; PTFs; Soil carbon; Soil carbon sequestration; Soil organic carbon stocks; Soil texture. |
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Asunto categoría : |
P36 Erosión conservación y recuperación del suelo |
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Marc : |
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024 7 $a10.1016/j.scitotenv.2021.146609$2DOI
100 1 $aSCHILLACI, C
245 $aNew pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 26 December 2020; Revised 24 February 2021; Accepted 16 March 2021; Available online 19 March 2021. Incluye Supplementary data. Editor: Manuel Esteban Lucas-Borja
520 $aABSTRACT. For the estimation of the soil organic carbon stocks, bulk density (BD) is a fundamental parameter but measured data are usually not available especially when dealing with legacy soil data. It is possible to estimate BD by applying pedotransfer function (PTF). We applied different estimation methods with the aim to define a suitable PTF for BD of arable land for the Mediterranean Basin, which has peculiar climate features that may influence the soil carbon sequestration. To improve the existing BD estimation methods, we used a set of public climatic and topographic data along with the soil texture and organic carbon data. The present work consisted of the following steps: i) development of three PTFs models separately for top (0?0.4 m) and subsoil (0.4?1.2 m), ii) a 10-fold cross-validation, iii) model transferability using an external dataset derived from published data. The development of the new PTFs was based on the training dataset consisting of World Soil Information Service (WoSIS) soil profile data, climatic data from WorldClim at 1 km spatial resolution and Shuttle Radar Topography Mission (SRTM) digital elevation model at 30 m spatial resolution. The three PTFs models were developed using: Multiple Linear Regression stepwise (MLR-S), Multiple Linear Regression backward stepwise (MLR-BS), and Artificial Neural Network (ANN). The predictions of the newly developed PTFs were compared with the BD calculated using the PTF proposed by Manrique and Jones (MJ) and the modelled BD derived from the global SoilGrids dataset. © 2021 Published by Elsevier B.V.
653 $aAgriculture
653 $aBulk density (BD)
653 $aPedotransfer functions
653 $aPTFs
653 $aSoil carbon
653 $aSoil carbon sequestration
653 $aSoil organic carbon stocks
653 $aSoil texture
700 1 $aPEREGO, A.
700 1 $aVALKAMA, E.
700 1 $aMÄRKER, M.
700 1 $aSAIA, S.
700 1 $aVERONESI, F.
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700 1 $aLOMBARDO, L.
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700 1 $aTEDONE, L.
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700 1 $aPAREJA-SERRANO, E.
700 1 $aAMATO, G.
700 1 $aKÜHL, K.
700 1 $aDAMATIRCA, C.
700 1 $aCOGATO, A.
700 1 $aMZID, N.
700 1 $aEESWARAN, R.
700 1 $aREBELO, M.
700 1 $aSPERANDIO, G.
700 1 $aBOSINO, A.
700 1 $aBUFALINI, M.
700 1 $aTUNÇAY, T.
700 1 $aDING, J.
700 1 $aFIORENTINI, M.
700 1 $aTISCORNIA, G.
700 1 $aCONRADT, S.
700 1 $aBOTTA, M.
700 1 $aACUTIS, M.
773 $tScience of The Total Environment, 2021, Volume 780, Article 146609. Doi: https://doi.org/10.1016/j.scitotenv.2021.146609
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