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resumen

Resumen
Temporal variability in the availability of forage reduces the production and economic performance of livestock systems. The marginal value of feed (MVF, the possible gross economic benefit of additional feed on offer during an annual cycle), was assessed under the expected variability of climate and prices in a cow-calf operation from the Flooding Pampas, Argentina. Herbage mass accumulation (HMA) was simulated on a daily basis over 20 different years [ver mas...]
dc.contributor.authorBerger, Horacio
dc.contributor.authorBilotto, Franco Maximiliano
dc.contributor.authorBell, Lindsay
dc.contributor.authorMachado, Claudio
dc.date.accessioned2019-08-07T14:52:54Z
dc.date.available2019-08-07T14:52:54Z
dc.date.issued2017-11
dc.identifier.issn0308-521X
dc.identifier.otherhttps://doi.org/10.1016/j.agsy.2017.09.004
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0308521X17304286?via%3Dihub
dc.identifier.urihttp://hdl.handle.net/20.500.12123/5599
dc.description.abstractTemporal variability in the availability of forage reduces the production and economic performance of livestock systems. The marginal value of feed (MVF, the possible gross economic benefit of additional feed on offer during an annual cycle), was assessed under the expected variability of climate and prices in a cow-calf operation from the Flooding Pampas, Argentina. Herbage mass accumulation (HMA) was simulated on a daily basis over 20 different years with DairyMod, grouped by month and season and where the HMA was equal or below 50% of its long-term average, it was tagged as “Dry”. Typical monthly pasture growth rates were synthetically depicted for average years (Average), or with dry autumn (D-Au), winter (D-Wi), spring (D-Sp) or summer (D-Su) conditions. These pasture growth curves were incorporated into whole-farm scenarios which were modelled with SIMUGAN, a bio-economicwhole-farm model. Farm scenarios were baseline (unchanged HMA) or with additional 10% of the annual HMA. This additional feed was either evenly distributed across each month of the year (all year), or the full amount provided in one of the four seasons. These scenarios were repeated in a factorial design across a range of stocking rates (SR; 0.9–1.3 cows/ha) on an average year or years including one dry season (D-Au, D-Wi, D-Sp orD-Su). SIMUGAN results were fed to an ad-hoc built model to calculate production and market risk profiles. In years with average HMA, MVF were always below 0.05 US$/kg DM but the presence of a dry season caused significantly higher MVF. Years with dry autumn presented the highest economic responses when the extra feed was fed during autumn or winter. MVF analyses showed a positive impact of additional forage only above 1.1 head/ha and this increased with SR, whereas MVF at the low SR were mostly negative due to extra hay making costs. At 1.1 and 1.2 head/ha, allocating additional feed in autumn produced a higher return (0.04 and 0.08 US$/kg DM) than feed provided at other times of the year (averaging 0.02 and 0.05 US$/kg DM). Otherwise, at 1.3 SR extra feed in winter always had the highest MVF (up to 0.19 US$/kg DM). Bio-physical variables of livestock demand and seasonality of pasture growth were the main drivers of MVF variability. Overall, the framework developed by integrating forage, livestock and economic models “in a series” effectively identified the economic feasibility of changes to the farm feed-base under different climatic and livestock management conditions.es_AR
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceAgricultural systems. 158 : 68-77. (November 2017)eng
dc.subjectModeloses_AR
dc.subjectModelseng
dc.subjectEconomíaes_AR
dc.subjectEconomiceng
dc.subjectAlimentación Complementariaes_AR
dc.subjectSuplementary Feedingeng
dc.subjectGanadoes_AR
dc.subjectLivestockeng
dc.subjectAccidentes Atmosféricoses_AR
dc.subjectWeather Hazardseng
dc.subjectArgentinaes_AR
dc.titleFeedbase intervention in a cow-calf system in the flooding pampas of Argentina: 2. Estimation of the marginal value of additional feedeng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: Berger, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Bilotto, Franco. Centro de Investigación Veterinaria de Tandil. Provincia de Buenos Aires; Argentinaes_AR
dc.description.filFil: Bell, Lindsay W. Commonwealth Scientific and Industrial Research Organisation (CSIRO); Australiaes_AR
dc.description.filFil: Machado, Claudio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias, Tandil; Argentina. Centro de Investigación Veterinaria de Tandil; Argentina. Modasur; Argentinaes_AR
dc.subtypecientifico


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