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Abstract
Effective management of livestock grazing on heterogeneous subtropical grasslands requires understanding the relative role played by factors that determine spatial distribution patterns of animals. We conducted a 2 year study at a site in Corrientes, Argentina, to characterize seasonal patterns of feeding site selection of cattle and sheep co-grazing the same pastures. Livestock were fitted with GPS collars and monitored for 2 weeks in fall, winter, [ver mas...]
dc.contributor.authorDíaz Falú, Estanislao Martín
dc.contributor.authorBrizuela, Miguel Angel
dc.contributor.authorCid, María Silvia
dc.contributor.authorCibils, Andrés Francisco
dc.contributor.authorCendoya, María Gabriela
dc.contributor.authorBendersky, Diego
dc.date.accessioned2018-05-04T15:25:35Z
dc.date.available2018-05-04T15:25:35Z
dc.date.issued2014-03
dc.identifier.issn1871-1413
dc.identifier.otherhttps://doi.org/10.1016/j.livsci.2013.11.010
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1871141313005039#!
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2325
dc.description.abstractEffective management of livestock grazing on heterogeneous subtropical grasslands requires understanding the relative role played by factors that determine spatial distribution patterns of animals. We conducted a 2 year study at a site in Corrientes, Argentina, to characterize seasonal patterns of feeding site selection of cattle and sheep co-grazing the same pastures. Livestock were fitted with GPS collars and monitored for 2 weeks in fall, winter, spring, and summer of two consecutive years beginning in 2009. Maps of vegetation units, topography, and facilities were included as layers in a GIS of our study site which, in addition to livestock location data, were used to analyze daily feeding site selection patterns of both livestock species. The k-select multivariate method used for this analysis suggested that 21% of the variation in daily feeding site selection of both cattle and sheep could be explained by vegetation-related variables. Lesser amounts of variation were explained by weather-related variables, topography, and distance to drinking water and shade. In general, cattle tended to select lower elevation sites dominated by taller grasses, whereas sheep tended to select higher elevation sites with steeper slopes dominated by short grasses. Both cattle and sheep appeared to adapt to year-to-year changes in vegetation and rainfall by adjusting their feeding site selection and either expanding or contracting the area explored while grazing in a day. Spatial overlap between species remained low throughout the study. Cattle and sheep appeared to exhibit complementary adaptive feeding strategies at this site. Subtropical grassland areas with heterogeneous vegetation cover could be utilized more efficiently with co-grazing of livestock species with contrasting body size and dietary habits.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceLivestock science 161 : 147-157. (March 2014)es_AR
dc.subjectAlimentación de los Animaleses_AR
dc.subjectAnimal Feedingeng
dc.subjectGanado Bovinoes_AR
dc.subjectCattleeng
dc.subjectOvinoses_AR
dc.subjectSheepeng
dc.subjectPastoreoes_AR
dc.subjectGrazingeng
dc.subjectPraderases_AR
dc.subjectGrasslandseng
dc.subjectZona Subtropicales_AR
dc.subjectSubtropical Zoneseng
dc.titleDaily feeding site selection of cattle and sheep co-grazing a heterogeneous subtropical grasslandes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Mercedeses_AR
dc.description.filFil: Díaz Falú, Estanislao Martín. University of Hohenheim. Institute of Animal Production in the Tropics and Subtropics; Alemania. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.description.filFil: Brizuela, Miguel Angel. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Buenos Aires (Provincia). Gobernación. Comisión de Investigaciones Científicas; Argentinaes_AR
dc.description.filFil: Cid, María Silvia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.description.filFil: Cibils, Andrés Francisco. New Mexico State University. Department of Animal and Range Sciences; Estados Unidoses_AR
dc.description.filFil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.description.filFil: Bendersky, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentinaes_AR
dc.subtypecientifico


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