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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
05/05/2021 |
Actualizado : |
07/05/2021 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
GIL, S.B.; TIERI, M.; LA MANNA, A.; FAVERIN, C.; HERRERO, M.A |
Afiliación : |
UBA, Fac. Cs. Veterinarias, Av. Chorroarín 280 (1427) CABA, Argentina.; MARIA PAZ TIERI HERRERO, INTA, EEA Rafaela, Santa Fe, Arg.; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; INTA, EEA Balcarce, Buenos Aires-UNMDP, Arg.; UBA, Fac. Cs. Veterinarias, Av. Chorroarín 280 (1427) CABA, Argentina. |
Título : |
Indicadores de uso de nutrientes en sistemas ganaderos en Argentina y Uruguay.[Nutrient use indicators in beef production systems in Argentina and Uruguay.]. |
Complemento del título : |
AP 2. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
In: Congreso Argentino de Producción Animal, 42, Bahía Blanca, Argentina 15-18 octubre 2019. |
Páginas : |
p. 210. |
Serie : |
(Revista Argentina de Producción Animal; 2019; 39; Suplemento 1). |
Idioma : |
Español |
Notas : |
Financiamiento UBACyT, proyecto 20020170100226BA (2018-2021); INIA, La Estanzuela, Uruguay e INTA, Argentina. |
Contenido : |
Conclusiones:
Se observaron diferencias en el manejo de N-P entre países, presentando Uruguay menor eficiencia de uso para
ambos nutrientes y un mayor consumo, absoluto y relativo, de los mismos. Uno de los factores principales podría ser la
menor carga animal y consecuente menor producción de carne y posterior venta anual. |
Palabras claves : |
BALANCE DE NUTRIENTES. |
Thesagro : |
ARGENTINA; PRODUCCIÓN ANIMAL; SISTEMAS GANADEROS; URUGUAY. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15529/1/Revista-Argentina-de-Produccion-Animal-2019.v.39.supl.1.AP-2.pdf
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Marc : |
LEADER 01312nam a2200253 a 4500 001 1062016 005 2021-05-07 008 2019 bl uuuu u01u1 u #d 100 1 $aGIL, S.B. 245 $aIndicadores de uso de nutrientes en sistemas ganaderos en Argentina y Uruguay.[Nutrient use indicators in beef production systems in Argentina and Uruguay.].$h[electronic resource] 260 $aIn: Congreso Argentino de Producción Animal, 42, Bahía Blanca, Argentina 15-18 octubre 2019.$c2019 300 $ap. 210. 490 $a(Revista Argentina de Producción Animal; 2019; 39; Suplemento 1). 500 $aFinanciamiento UBACyT, proyecto 20020170100226BA (2018-2021); INIA, La Estanzuela, Uruguay e INTA, Argentina. 520 $aConclusiones: Se observaron diferencias en el manejo de N-P entre países, presentando Uruguay menor eficiencia de uso para ambos nutrientes y un mayor consumo, absoluto y relativo, de los mismos. Uno de los factores principales podría ser la menor carga animal y consecuente menor producción de carne y posterior venta anual. 650 $aARGENTINA 650 $aPRODUCCIÓN ANIMAL 650 $aSISTEMAS GANADEROS 650 $aURUGUAY 653 $aBALANCE DE NUTRIENTES 700 1 $aTIERI, M. 700 1 $aLA MANNA, A. 700 1 $aFAVERIN, C. 700 1 $aHERRERO, M.A
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INIA La Estanzuela (LE) |
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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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