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Resumen
Defoliation intensity and timing are two important factors determining plants response to grazing. These factors can be managed by adjusting stocking rate and applying a grazing strategy. In a 6-yr clipping experiment conducted in northwestern Argentina, we assessed the effect of different defoliation intensities (~ 30%, ~ 50%, and ~ 70% removal of the annually produced aboveground biomass) and simulated grazing strategies (continuous grazing, two-paddock [ver mas...]
dc.contributor.authorQuiroga, Raul Emiliano
dc.contributor.authorBlanco, Lisandro Javier
dc.contributor.authorNamur, Pedro Ramón
dc.date.accessioned2018-07-06T15:15:34Z
dc.date.available2018-07-06T15:15:34Z
dc.date.issued2018-01
dc.identifier.issn1550-7424
dc.identifier.issn1551-5028
dc.identifier.otherhttps://doi.org/10.1016/j.rama.2017.09.002
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1550742417300957
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2740
dc.description.abstractDefoliation intensity and timing are two important factors determining plants response to grazing. These factors can be managed by adjusting stocking rate and applying a grazing strategy. In a 6-yr clipping experiment conducted in northwestern Argentina, we assessed the effect of different defoliation intensities (~ 30%, ~ 50%, and ~ 70% removal of the annually produced aboveground biomass) and simulated grazing strategies (continuous grazing, two-paddock rest-rotation, three-paddock rest-rotation, dormant season grazing) on plots of three C4 native bunchgrasses (Pappophorum vaginatum, Trichloris crinita, and Digitaria californica). Response variables were mean and trend of clipped-off biomass during the 6 yr of treatments, number of inflorescences, and aboveground biomass produced on the year following treatments end (to evaluate residual effect of treatments). Results were species dependent. Mean clipped-off biomass increased with defoliation intensity in T. crinita and D. californica. However, defoliation intensity negatively affected clipped-off biomass trend in T. crinita and the production of P. vaginatum and T. crinita during “residual effect” evaluation. The three species responded positively at least in one response variable to the amount of rest periods in the grazing strategy. Our results are not fully consistent with the concept that forage production is more influenced by defoliation intensity than by grazing strategy: In two of the three species, grazing strategy presented greater impact on response variables than defoliation intensity. When significant “defoliation intensity × grazing strategy” was detected, intensity tended to be more detrimental as grazing strategy allows fewer rest periods. We observed a residual effect of treatments in the three species (generally, negative effect of defoliation intensity and positive effect of grazing strategies with more rest periods). Our results show that dormant season utilization and rest periods are beneficial for maximizing mean clipped-off biomass and ensuring clipped-off biomass trend. High defoliation intensities can maximize short-term clipped-off biomass, but it may produce negative residual effects and trends.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceRangeland Ecology & Management 71 (1) : 58-66 (January 2018)es_AR
dc.subjectTierras de Pastoses_AR
dc.subjectRangelandseng
dc.subjectDefoliaciónes_AR
dc.subjectDefoliationeng
dc.subjectPastoreoes_AR
dc.subjectGrazingeng
dc.subjectDigitariaes_AR
dc.subjectForrajeses_AR
dc.subjectForageeng
dc.subject.otherDigitaria californicaes_AR
dc.subject.otherPappophorum vaginatumes_AR
dc.subject.otherTrichloris Crinitaes_AR
dc.titleDefoliation intensity and simulated grazing strategy effects on three C4 rangeland bunchgrasseses_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 Catamarcaes_AR
dc.description.filFil: Quiroga, Raul Emiliano. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Catamarca; Argentinaes_AR
dc.description.filFil: Blanco, Lisandro Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria La Rioja; Argentinaes_AR
dc.description.filFil: Namur, Pedro Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria La Rioja; Argentinaes_AR
dc.subtypecientifico


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