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| Registros recuperados : 11 | |
| 2. |  | BASILE, P.; FORMOSO, D.; BLUMETTO, O. Floristic composition and above-ground net primary production innatural grasslands on basaltic deep soils. [Composición florística y productividad primaria neta aérea de campos naturales sobre suelos profundos de basalto.]. [Composição florística e produtividade primária aérea liquida de campos naturais sobre solos de Basalto profundo.] Sectiion: Animal production and pastures. Agrociencia Uruguay, 2021, vol. 25, n.2, article e417. Doi: https://doi.org/10.31285/AGRO.25.417 Article history: Received 29 Sep 2020; Accepted 22 Feb 2021; Published 17May 2021.
Editor: Pablo Boggiano, Universidad de la República, Paysandú, Uruguay.
Correspondence: Patricia Basile, mail: patricia.basile@cut.edu.uy| Biblioteca(s): INIA Las Brujas. |
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| 6. | | BASILE, P.; FORMOSO, D.; TISCORNIA, G.; BLUMETTO, O. Radiation use efficiency on campos grasslands with contrasting grazing methods. In: INTERNATIONAL GRASSLAND CONGRESS, 23., IGC 2015, 20 - 24 November, New Delhi. Sustainable use of grassland resources for forage production, biodiversity and environmental protection: Extended abstracts. Nova Delhi: ICAR-Indian Grassland and Fodder Research Institute, 2015. 1 p. Pst948.| Biblioteca(s): INIA Las Brujas. |
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| 7. | | GIORELLO, F.; FARÍAS, J.; BASILE, P.; BALMELLI, G.; DA SILVA, C. Evaluando el potencial del XP-GWAS en Eucalyptus; la heteroblastia foliar como caso de estudio. 354. (resúmen). Conferencia 13. Mesa SUG Sociedad Uruguay de Genética. In: Physiological Mini Reviews, 2022, volume 15, Special Issue: III (3er) Congreso Nacional de Biociencias Octubre 2022, Montevideo, Uruguay. p.63. Resumen publicado en las jornadas de BIOCIENCIAS: II Jornadas Binacionales Argentina-Uruguay; III Congreso Nacional 2022 "Ciencia para el desarrollo sustentable".| Biblioteca(s): INIA Las Brujas. |
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| 8. | | GIORELLO, F.M.; FARIAS, J.; BASILE, P.; BALMELLI, G.; DA SILVA, C.C. Evaluating the potential of XP-GWAS in Eucalyptus: Leaf heteroblasty as a case study. Plant Gene. December 2023, Volume 36, article 100430. https://doi.org/10.1016/j.plgene.2023.100430 Article history: Received 3 February 2023, Revised 24 July 2023, Accepted 11 August 2023, Available online 22 August 2023, Version of Record 31 August 2023. -- Correspondence: Giorello, F.M.; Espacio de Biología Vegetal del Noreste,...| Biblioteca(s): INIA Las Brujas. |
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| 10. | | FERREIRA, F.; WALLACE, F.; BENNADJI, Z.; MINTEGUIAGA, M.; BASILE, P.; FLECK, J.D.; VERZA, S.G.; OLIVARO, C. Quillaja brasiliensis (A. St.-Hil. & Tul.) Mart. In: Máthé, Á., Bandoni, A. (eds). (2021). Medicinal and Aromatic Plants of South America. Vol. 2. Medicinal and Aromatic Plants of the World, vol 7. Springer, Cham. pp. 447-459. https://doi.org/10.1007/978-3-030-62818-5_35 Chapter book history: Published 16 April 2021. -- Editors: Prof. Ákos Máthé (Faculty of Agr. & Food Sc., Széchenyi István University, Mosonmagyaróvár, Hungary); Dr. Arnaldo Bandoni (Facultad de Farmacia y Bioquímica, Farmacognosia,...| Biblioteca(s): INIA Las Brujas. |
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| 11. | | PÉREZ, G.; BALMELLI, G.; SIMETO, S.; MARTÍNEZ, G.; TORRES, D.; GÓMEZ, D.; JORGE, C.; IBÁÑEZ, M.; MORALES, V.; PALLADINO, C.; RAMÍREZ, N.; PINTOS, M.; BASILE, P.; GASPARRI, M.; RASKIN, B.; BENTANCUR, O.; ALTIER, N.; ABREO, E.; PÉREZ, C. Grupo de investigación en protección forestal (GIPF), un compromiso con el manejo sustentable de los montes del Uruguay. ln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016. p. 34 Modalidad oral.| Biblioteca(s): INIA Tacuarembó. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
23/09/2016 |
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Actualizado : |
23/09/2016 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
BASILE, P.; FORMOSO, D.; TISCORNIA, G.; BLUMETTO, O. |
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Afiliación : |
PATRICIA CECILIA BASILE LORENZO, Universidad de la República (UdelaR)/ Centro Universitario Regional Tacuarembó; DANIEL FORMOSO CUNHA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Radiation use efficiency on campos graslands with contrasting grzing methods. [Resumen de poster]. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
ln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016. |
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Páginas : |
p. 64 |
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Idioma : |
Inglés |
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Contenido : |
Introduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability
of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR
was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the means were compared with T test for paired samples. Results: Between grazing methods, RUE average values were statistically different (p <0.05), with controlled management reporting values above 44%. When analysing seasonal variation between grazing methods, there were no statistical differences in RUE values. Seasonal variation of RUE for each grazing methods separately, was significantly different within seasons (p <0.05). Conclusions: The RUE values obtained could be used in the estimation of a more accurately ANPP in natural grasslands of this region. MenosIntroduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability
of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR
was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the mea... Presentar Todo |
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Palabras claves : |
GRASSLAND PRODUCTIVITY; LIVESTOCK MANAGEMENT; PPNA. |
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Thesagro : |
PASTURAS. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6099/1/PAGINA-64.pdf
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Marc : |
LEADER 02852naa a2200217 a 4500
001 1055722
005 2016-09-23
008 2016 bl uuuu u00u1 u #d
100 1 $aBASILE, P.
245 $aRadiation use efficiency on campos graslands with contrasting grzing methods. [Resumen de poster].$h[electronic resource]
260 $c2016
300 $ap. 64
520 $aIntroduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the means were compared with T test for paired samples. Results: Between grazing methods, RUE average values were statistically different (p <0.05), with controlled management reporting values above 44%. When analysing seasonal variation between grazing methods, there were no statistical differences in RUE values. Seasonal variation of RUE for each grazing methods separately, was significantly different within seasons (p <0.05). Conclusions: The RUE values obtained could be used in the estimation of a more accurately ANPP in natural grasslands of this region.
650 $aPASTURAS
653 $aGRASSLAND PRODUCTIVITY
653 $aLIVESTOCK MANAGEMENT
653 $aPPNA
700 1 $aFORMOSO, D.
700 1 $aTISCORNIA, G.
700 1 $aBLUMETTO, O.
773 $tln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016.
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