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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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Biblioteca (s) :  INIA Las Brujas.
Fecha :  22/07/2018
Actualizado :  12/02/2021
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Autor :  DINI, Y.; GERE, J.I.; CAJARVILLE, C.; CIGANDA, V.
Afiliación :  YOANA FATIMA DINI VILAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ IGNACIO GERE, Universidad Tecnológica Nacional, Facultad Regional Buenos Aires.; CECILIA CAJARVILLE, Universidad de la República (UdelaR)/ Facultad de Veterinaria; VERONICA SOLANGE CIGANDA BRASCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  Using highly nutritious pastures to mitigate enteric methane emissions from cattle grazing systems in South America.
Fecha de publicación :  2018
Fuente / Imprenta :  Animal Production Science, 2018, Volume 58, Issue 12, Pages 2329-2334. Doi: https://doi.org/10.1071/AN16803
Serie :  1836-0939
DOI :  10.1071/AN16803
Idioma :  Inglés
Notas :  Article history: Received 9 December 2016 / Accepted 3 August 2017 / Published online 23 November 2017.
Contenido :  Abstract. Enteric methane (CH4) emissions are directly related to the quantity and type of feed intake. Existing mitigation strategies, for example, the addition of legumes to grass-based diets and increased use of grains, have been thoroughly researched and applied in different production systems. In this paper, we propose a need to expand the capacity to mitigate enteric CH4 emissions in cattle under grazing conditions. The objective of this paper was to contribute to evaluate a mitigation strategy under grazing conditions of using contrasting levels of pasture quality. The study was performed with 20 heifers twice during the year: winter and spring. Each season, the study employed a crossover design with two treatments and two 5-day measurement periods. The treatments were two pastures with different nutritional values, including a pasture with a low quality (70% of neutral detergent fibre, 1% of ether extract, 8% of non-fibre carbohydrates), 9% of crude protein, 35% of dry matter digestibility and a pasture with a high quality (42% neutral detergent fibre, 1.3% ether extract, 24% non-fibre carbohydrates, 21% crude protein and 63% dry matter digestibility). Enteric CH4 emissions were measured with sulfur hexafluoride tracer technique. The dry matter intake (kg/day) was measured indirectly using titanium dioxide as an external marker. CH4 emissions from animals grazing the high-quality pasture were 14% lower expressed as % of gross energy intake, and 11% lower expressed by... Presentar Todo
Palabras claves :  GRAZING CONDITIONS; PASTURE QUALITY; SF6 TRACER TECHNIQUE.
Thesagro :  PASTURAS.
Asunto categoría :  --
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB101650 - 1PXIAP - DDPP/ANIMAL PRODUCTION SCIENCE/2018

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Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy.
Registro completo
Biblioteca (s) :  INIA La Estanzuela.
Fecha actual :  08/09/2022
Actualizado :  08/09/2022
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  ZARZA, R.; CAL, A.; FORMOSO, D.; MEDINA, S.; REY, D.; CARRASCO-LETELIER, L.
Afiliación :  RODRIGO TABARE ZARZA FUENTES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL FORMOSO, Private Consultor, Uruguay.; SANTIAGO MEDINA, Ministerio de Ordenamiento Territorial y Medio Ambiente, Dirección Nacional de Medio Ambiente, Galicia 1133, Montevideo, Uruguay.; DINORAH MABEL REY PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  First delimitation and land-use assessment of the riparian zones at Uruguayan Pampa.
Fecha de publicación :  2022
Fuente / Imprenta :  Ecological Informatics, November 2022, Volume 71, 101781. doi: https://doi.org/10.1016/j.ecoinf.2022.101781
DOI :  10.1016/j.ecoinf.2022.101781
Idioma :  Inglés
Notas :  Article history: Received 4 May 2022, Revised 16 July 2022; Accepted 17 August 2022; Available online 25 August 2022; Version of Record 7 September 2022. Supplementary data to this article can be found online at https://doi.org/10.1016/j.ecoinf.2022.101781.
Contenido :  ABSTRACT: The expansion and intensification of agriculture frequently affect riparian zones, mainly in basins where agriculture is the most important activity. In countries with basins dominated by agricultural activities, land use change in riparian zones promotes water quality loss and biodiversity degradation. As a tool to prevent these environmental impacts, the delimitation of riparian zones and buffer strips is crucial. For that purpose, photo interpretation jobs and botanical studies are usually necessary. However, a digital terrain model (DTM) becomes the best alternative when the information is unavailable or the survey area is too large. This work made the first delimitation of riparian zones of the country?s water drainage network. The results obtained by using a 1-m vertical buffer in DTM allowed the delimitation of the riparian zones of Uruguay. The results indicate that of the areas identified as riparian, 62% would be authentic and that the 29% of riparian areas identified under cultivation could rise to 46% if the identification improved the identification accuracy. The results indicate the existence of 4,608,890 ha of riparian zones, of which 94,651 ha could be under cultivation.
Palabras claves :  CROP ROTATIONS; DTM; FLOODING ZONE; PAMPA BIOME; RIVERS; SUSTENTABILIDAD AMBIENTAL.
Asunto categoría :  P01 Conservación de la naturaleza y recursos de La tierra
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE103627 - 1PXIAP - DDPP/PP/Ecological Informatics/2022
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