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Registros recuperados : 263 | |
182. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | BARRO, R.S.; RUBIO, V.; PRAVIA, V.; QUINCKE, A.; GRAHMANN, K.; TERRA, J.A.; LATTANZI, F. Soil organic carbon stocks in crop/pasture sequences - results from the oldest long-term agricultural experiment in Latin America. * Panel: Soil component. In: IV International Symposium on Integrated Crop-livestock Systems; Bento Gonçalves (RS), Brazil, November 7-11, 2023. Conference Proceedings, Volume 1. pp.254-258. * Part of the first author's postdoctoral work, funded by Agencia Nacional de Investigación e Innovación code PD_NAC_2016_1_134181. -- Junto al IV ICLS se realizó el III Congresso Brasileiro de Sistemas Integrados de Produção Agropecuária...Biblioteca(s): INIA Las Brujas. |
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184. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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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186. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | AYALA, W.; BARRIOS, E.; MACEDO, I.; SAWCHIK, J.; TERRA, J.A. Scouting benefits and developing innovations in temperate grassland to sustainable agriculture production. ln: Vijay, D.; Srivastava, M.K.; Grupta, C.K.; Malaviya, D.R.; roy, M.M.; Mahanta, S.K.; Singh, J. B.; Maity, A.; Grosh, P.K., eds. Sustainable use of grassland resources for forage production, biodiversity and environmental protection: Proceeding of 23nd. International Grassland Congress, Nov. 20-24, 2015. New Delhi, India, Range Management Society of India, Jhansi, U.P., India. p. 208-214.Biblioteca(s): INIA Treinta y Tres. |
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191. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | ROVIRA, P.J.; CARVALHO, P.C.F.; TERRA, J.A.; LATTANZI, F.; PIZZIO, R.; AYALA, W. Sustainable intensification in crop-livestock systems. In: MUREITHI, J.G.; NYANGITO, M.M.; WAMUONGO, J.W.; NJOKA, J.; NYAMBATI; E.M.; MIANO,D.; MBUKU, S.; OKOTI, M.; MARITIM. F., ed. Sustainable use of grassland and rangeland resources for improved livelihoods. Proceedings. Nairobi, (Kenia): KALRO, 2022. p. 650-654Biblioteca(s): INIA Treinta y Tres. |
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192. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | TSENG, C-M.; ROEL, A.; MACEDO, I.; MARELLA, M.; TERRA, J.A.; PITTELKOW, C. M. Synergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems. Current Research in Environmental Sustainability, 2021, volume 3, 100070. OPEN ACCESS. DOI: https://doi.org/10.1016/j.crsust.2021.100070 Article history: Received 30 April 2021 / / Revised 12 July 2021 // Accepted 13 July 2021 // Available online 24 July 2021.Biblioteca(s): INIA Treinta y Tres. |
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193. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | RICCETTO, S.; MACEDO, I.; GASO, D.; SALDAIN, N.E.; TERRA, J.A. Potencial productivo del cultivo de soja sin limitantes de agua. ln: [JORNADA ANUAL] ARROZ-SOJA, 2015, Treinta y Tres, UY. Resultados experimentales 2014-2015. Treinta y Tres: INIA, 2015. Cap. 6, p. 7-9. (INIA Serie Actividades de Difusión; 748)Biblioteca(s): INIA Treinta y Tres. |
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194. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | TERRA, J.A.; CANTOU, G.; OXLEY, A.; FURTADO, I.; BORDAGORRI, P.; SAWCHIK, J. Potencial productivo del cultivo de soja sin limitantes de agua. In: PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ; JORNADA ANUAL ARROZ-SOJA, 2013, INIA TREINTA Y TRES, UY. Arroz-soja: resultados experimentales 2012-2013. Treinta y Tres: INIA, 2013. c. 9, p. 19-21. (Serie Actividades de Difusión, 713).Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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195. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MACEDO, I.; PITTELKOW, C.M.; TERRA, J.A.; CASTILLO, J.; ROEL, A. The power of on-farm data for improved agronomy. Global Food Security. 2024, Volume 40, 100752. https://doi.org/10.1016/j.gfs.2024.100752 -- OPEN ACCESS. Article history: Received 24 November 2023, Revised 27 February 2024, Accepted 3 March 2024, Available online 16 March 2024, Version of Record 16 March 2024. -- Correspondence: Macedo, I.; Department of Plant Sciences, Univ. of...Biblioteca(s): INIA Las Brujas. |
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198. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | CASTILLO, J.; MACEDO, I.; SILVA, L.; CASTILLO, G.; TERRA, J.A. Productividad y eficiencia de uso del N del cultivo de arroz sobre diferentes antecesores invernales y dosis de N. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 64-66. (INIA Serie Técnica; 257)Biblioteca(s): INIA Treinta y Tres. |
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199. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MACEDO, I.; CASTILLO, J.; RICCETTO, S.; BORDAGORRI, A.; TERRA, J.A. Productividad y eficiencia del uso del N en el cultivo de arroz en rotaciones de intensidad variable. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 109-112. (INIA Serie Técnica; 257)Biblioteca(s): INIA Treinta y Tres. |
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Registros recuperados : 263 | |
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![](/consulta/web/img/deny.png) | 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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