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2. | | SAWCHIK, J.; PÉREZ BIDEGAIN, M.; GARCÍA, C. Impact of winter cover crops on soil properties under soybean cropping systems. In: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. [Oral presentation]: paper no. 376. Montevideo, UY: ISTRO, 2012. 8 p. También publicado en: Agrociencia Uruguay, v. 16, n. especial, p. 288-293, 2012.Biblioteca(s): INIA La Estanzuela. |
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7. | | PÉREZ BIDEGAIN, M.; SAWCHIK, J.; BARRETO, P.; PÉREZ, M.M. Pesticide runoff into surface water in a mollisol under no tillage. In: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. Poster presentation: 372. Montevideo, UY: ISTRO, 2012.Biblioteca(s): INIA La Estanzuela. |
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9. | | JORGE, G.; PÉREZ BIDEGAIN, M.; TERRA, J.A.; SAWCHIK, J. WEPP as a tool for enabling a more comprehensive analysis of the environmental impacts of soil erosion. In: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. [Oral presentation]: paper no. 133. Montevideo, UY: ISTRO, 2012. También publicado en: Agrociencia Uruguay, v. 16, n. especial, p. 268-273, 2012.Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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11. | | AMARANTE, P.; ABELLA, I.; INDARTE, F.; GARCÍA PRÉCHAC, F.; PÉREZ BIDEGAIN, M. Alternativas de siembra directa de praderas consociadas: VI-11. ln: Reunião Sul-Brasileira de Ciência do Solo, 2., 1998, Santa Maria, RS, BR Manejo sustentável do solo: resumos expandidos. Santa Maria, RS: SBCS-NRS, 1998. p. 256-258. Donación A. Morón, 2013.Biblioteca(s): INIA La Estanzuela. |
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13. | | PEREZ-BIDEGAIN, M.; CLERICI, C.; HILL, M.; SAWCHIK, J.; TERRA, J.A.; GARCÍA-PRÉCHAC, F. Experimental validation and regulatory application of USLE/RULE in Uruguay. [Abstract]. ln: Annual Soil and Water Conservation Conference, 70., July 2015, Greensboro, North Carolina, US. Abstract Book. Soil and Water Conservation Society, 2015. p. 52.Biblioteca(s): INIA Treinta y Tres. |
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14. | | HASTINGS, F.; FUENTES, I.; PÉREZ-BIDEGAIN, M.; NAVAS, R.; GORGOGLIONE, A. Land-cover mapping of agricultural areas using machine learning in Google Earth engine. (Conference paper) In: Gervasi O. et al. (eds) Computational Science and Its Applications - ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12252. International Conference on Computational Science and Its Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_52 Article history: First Online 29 September 2020. Volume Editors: Gervasi O.,Murgante B.,Misra S. .,Garau C.,Blecic I.,Taniar D.,Apduhan B.O.,Rocha A.M.A.C.,Tarantino E.,Torre C.M.,Karaca Y. Publisher: Springer Science and Business Media...Biblioteca(s): INIA Las Brujas. |
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19. | | PÉREZ-BIDEGAIN, M.; HILL, M.; CLERICI, C.; TERRA, J.A.; SAWCHIK, J.; GARCÍA-PRÉCHAC, F. Regulatory utilization of USLE/RUSLE erosion rate estimates in Uruguay: a policy coincident with the UN sustainable development goals. In: Lal, R.; Horn, R.; Kosaki, T., eds. Soil and sustainable development goals. Stuttgar, Germany: Catena-Scheweizerbar. 2018, p. 82-91.Biblioteca(s): INIA Treinta y Tres. |
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Registros recuperados : 25 | |
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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
04/08/2020 |
Actualizado : |
04/08/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - 1 |
Autor : |
GONZÁLEZ BARRIOS, P.; BORGES, A.; TERRA, J.A.; PÉREZ BIDEGAIN, M.; GUTIÉRREZ, L. |
Afiliación : |
PABLO GONZÁLEZ BARRIOS, Facultad de Agronomía, UdelaR, UY.; ALEJANDRO BORGES, Facultad de Agronomía, UdelaR, UY.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO PÉREZ BIDEGAIN, Facultad de Agronomía, UdelaR, UY.; LUCÍA GUTIÉRREZ, Department of Agronomy, University of Wisconsin, Madison, USA. |
Título : |
Spatio-temporal modeling and competition dynamics in forest tillage experiments on early growth of Eucalyptus grandis L. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Forest Science, 28 March 2020, Volume 20, Pages 1-11. Doi: https://doi.org/10.1093/forsci/fxaa007 |
DOI : |
10.1093/forsci/fxaa007 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 30 July 2019// Accepted: 30 January 2020// Published: 28 March 2020. |
Contenido : |
Forest tillage experiments regularly use long-term evaluations of large plots creating temporal and/or spatial correlations among observations. Not modeling these correlations could compromise treatment comparisons. The aim of this study was to evaluate the effect of modeling spatio-temporal (ST) variability in forest tillage experiments. We used different strategies that incorporate spatial and/or temporal correlations in the evaluation of tillage intensity effect in initial Eucalyptus growth as well as evaluate the effect of intraplot mortality and competition dynamics. Three tillage intensities in two contrasting soil conditions were compared for tree height and wood volume. Additionally, we compared the use of three individual growth curves for plant height to evaluate the time needed to reach 2 m in height (T2m). We modeled the spatial correlation of T2m using mixed models. In both sites, ST models were superior for plant height and wood volume per hectare, whereas for individual-tree wood volume, temporal models were superior. Pit planting always had a lower performance than disk harrowing and subsoiler, which behaved similarly. The competition dynamics within the plot because of tree mortality was affected by treatments and site. Modeling ST variability is key to improving treatment comparisons in forest experiments. |
Palabras claves : |
GROWTH CURVES; SITE PREPARATION; SPATIO-TEMPORAL VARIABILITY; TILLAGE INTENSITY. |
Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
Marc : |
LEADER 02236naa a2200241 a 4500 001 1061260 005 2020-08-04 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1093/forsci/fxaa007$2DOI 100 1 $aGONZÁLEZ BARRIOS, P. 245 $aSpatio-temporal modeling and competition dynamics in forest tillage experiments on early growth of Eucalyptus grandis L.$h[electronic resource] 260 $c2020 500 $aArticle history: Received: 30 July 2019// Accepted: 30 January 2020// Published: 28 March 2020. 520 $aForest tillage experiments regularly use long-term evaluations of large plots creating temporal and/or spatial correlations among observations. Not modeling these correlations could compromise treatment comparisons. The aim of this study was to evaluate the effect of modeling spatio-temporal (ST) variability in forest tillage experiments. We used different strategies that incorporate spatial and/or temporal correlations in the evaluation of tillage intensity effect in initial Eucalyptus growth as well as evaluate the effect of intraplot mortality and competition dynamics. Three tillage intensities in two contrasting soil conditions were compared for tree height and wood volume. Additionally, we compared the use of three individual growth curves for plant height to evaluate the time needed to reach 2 m in height (T2m). We modeled the spatial correlation of T2m using mixed models. In both sites, ST models were superior for plant height and wood volume per hectare, whereas for individual-tree wood volume, temporal models were superior. Pit planting always had a lower performance than disk harrowing and subsoiler, which behaved similarly. The competition dynamics within the plot because of tree mortality was affected by treatments and site. Modeling ST variability is key to improving treatment comparisons in forest experiments. 653 $aGROWTH CURVES 653 $aSITE PREPARATION 653 $aSPATIO-TEMPORAL VARIABILITY 653 $aTILLAGE INTENSITY 700 1 $aBORGES, A. 700 1 $aTERRA, J.A. 700 1 $aPÉREZ BIDEGAIN, M. 700 1 $aGUTIÉRREZ, L. 773 $tForest Science, 28 March 2020, Volume 20, Pages 1-11. Doi: https://doi.org/10.1093/forsci/fxaa007
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