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Abstract
In livestock systems of the Argentinean Pampas, its forage production stability relies on the integration of two landcovers, annual forage crop sequences and perennial pastures. Despite the key role that these forage cropping systems have on current milk and beef production, it is unclear how year-by-year variability of precipitation affect forage dry matter (DM) yield and precipitation use efficiency (PUE, i.e. the quotient between forage DM yield [ver mas...]
dc.contributor.authorOjeda, Jonathan Jesus
dc.contributor.authorCaviglia, Octavio
dc.contributor.authorIrisarri, Jorge Gonzalo Nicolás
dc.contributor.authorAgnusdei, Monica Graciela
dc.date.accessioned2018-07-20T14:06:53Z
dc.date.available2018-07-20T14:06:53Z
dc.date.issued2018
dc.identifier.issn0168-1923
dc.identifier.otherhttps://doi.org/10.1016/j.agrformet.2018.04.014
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2839
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0168192318301369?via%3Dihub
dc.description.abstractIn livestock systems of the Argentinean Pampas, its forage production stability relies on the integration of two landcovers, annual forage crop sequences and perennial pastures. Despite the key role that these forage cropping systems have on current milk and beef production, it is unclear how year-by-year variability of precipitation affect forage dry matter (DM) yield and precipitation use efficiency (PUE, i.e. the quotient between forage DM yield and precipitation). The aims of this study were to analyze the impact (i) of year-by-year precipitation variability on DM yield and PUE of oats-maize (Avena sativa L. - Zea mays L.) double-crop and alfalfa (Medicago sativa L.) and (ii) of cumulative precipitation during the critical period of maize on DM yield and PUE of oatsmaize double-crop. We used a modelling approach to estimate DM yield and PUE of oats-maize (sequence) and alfalfa in five locations of the Argentinean Pampas, which differed in annual precipitation (AP) and variability of it. Coefficient of variation (CV) was used as the main statistical variable to compare the variability of AP (CVAP), DM yield (CVDM), and PUE (CVPUE). Mean DM yield of both landcovers was higher in locations with high AP (> 800 mm) than with low AP (< 800 mm). Although alfalfa had lower mean DM yield than sequence in all locations, it showed a lower CVDM than sequence. In contrast, sequence showed lower and higher CVDM than CVAP, depending on location. Moreover, changes in DM yield due to variations of AP were higher in sequence than in alfalfa. On the other hand, mean PUE was higher for sequence (2.2 g DM m−2mm−1) than that of alfalfa (1.6 g DM m−2mm−1). The CVPUE between locations, i.e. an index that reflects the spatial variability, ranged from 20 for the sequence to 68% for alfalfa, whereas CVPUE between years, i.e. an index that reflects the temporal variability, ranged from 16 to 31 % for both landcovers. Precipitation use efficiency tended to be similar across locations in years with low AP (< 800 mm) compared to years with high AP (> 800 mm). Our results provided valuable knowledge for decision making in livestock systems of this region through the development of spatial and temporal models between DM yield and AP. In a broader sense, they also showed that shifts from perennial to seasonal forage covers increased yields but also its inter-annual variability, posing a risk for farmers.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceAgricultural and forest meteorology 259 : 1–10. (2018)eng
dc.subjectPastizal Permanentees_AR
dc.subjectPlantas Forrajerases_AR
dc.subjectModelos de Simulaciónes_AR
dc.subjectMaízes_AR
dc.subjectMedicago Sativaes_AR
dc.subjectZea Mayses_AR
dc.subjectPeriodicidades_AR
dc.subjectPeriodicityeng
dc.subjectMaizeeng
dc.subjectDry Mattereng
dc.subjectSimulation Modelseng
dc.subjectFeed Cropseng
dc.subjectPermanent Pastureseng
dc.subject.otherAPSIMeng
dc.subject.otherMateria Secaes_AR
dc.subject.otherAlfalfaes_AR
dc.subject.otherTemporal Patternseng
dc.subject.otherRegión Pampenaes_AR
dc.titleModelling inter-annual variation in dry matter yield and precipitation use efficiency of perennial pastures and annual forage crops sequenceseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEEA Paranáes_AR
dc.description.filFil: Ojeda, Jonathan Jesus. University of Tasmania. Tasmanian Institute of Agriculture; Australia. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.description.filFil: Caviglia, Octavio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná. Grupo Ecología Forestal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.description.filFil: Irisarri, Jorge Gonzalo Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentinaes_AR
dc.description.filFil: Agnusdei, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.subtypecientifico


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