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Resumen
Extensive sheep production is an important agricultural industry in the Patagonia region of Argentina, where the most important production metric is the effective lambing rate of the sheep (L%). Climate factors can affect sheep production in two ways: (i) directly on the survival of the lamb, and (ii) indirectly by determining the start of the growing season, aboveground net primary productivity (ANPP) and the availability of forage. The aim of this study [ver mas...]
dc.contributor.authorCastillo, Daniel Alejandro
dc.contributor.authorGaitan, Juan Jose
dc.contributor.authorVillagra, Edgar Sebastian
dc.date.accessioned2021-03-02T11:13:32Z
dc.date.available2021-03-02T11:13:32Z
dc.date.issued2021-05
dc.identifier.issn1470-160X
dc.identifier.otherhttps://doi.org/10.1016/j.ecolind.2021.107417
dc.identifier.urihttp://hdl.handle.net/20.500.12123/8778
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1470160X21000820
dc.description.abstractExtensive sheep production is an important agricultural industry in the Patagonia region of Argentina, where the most important production metric is the effective lambing rate of the sheep (L%). Climate factors can affect sheep production in two ways: (i) directly on the survival of the lamb, and (ii) indirectly by determining the start of the growing season, aboveground net primary productivity (ANPP) and the availability of forage. The aim of this study was to determine the relationships between climatic variables and vegetation attributes as the major drivers of sheep productivity (ewe live weight pre-mating (ELW) and effective lambing rate (L%)), using structural equation modelling. We observed that precipitation in late autumn/winter and vegetation productivity in late spring/summer were the main drivers and were positively associated with ELW. The ELW was highly and positively correlated with L%. Additionally, the maximum temperature in late spring showed a strong direct and negative relationship with L%. These results indicated that ELW should be taken into account when modelling L%. Regional Patagonian climate change models predict, for the next century a decrease in precipitation and an increase in temperature. Thus, according to our findings, sheep production systems would be affected by a decrease in primary productivity, as well as ELW and L% since these variables are positively associated with precipitation and negatively with temperature. The use of strategic supplementation to meet nutrient requirements and protection from climatic stressors during physiologically demanding production stages of pregnancy and lactation through additional shelter and housing for the sheep could mitigate the effects of climate change by having a positive effect on L% and, therefore, on the total farm income.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceEcological Indicators 124 : Art: 107417 (May 2021)es_AR
dc.subjectProducción Animales_AR
dc.subjectAnimal Productioneng
dc.subjectGanaderíaes_AR
dc.subjectAnimal Husbandryeng
dc.subjectMétodos de Crianzaes_AR
dc.subjectAnimal Husbandry Methodseng
dc.subjectOvejaes_AR
dc.subjectEweseng
dc.subject.otherRegión Patagónicaes_AR
dc.titleDirect and indirect effects of climate and vegetation on sheep production across Patagonian rangelands (Argentina)es_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEstación Experimental Agropecuaria Barilochees_AR
dc.description.filFil: Castillo, Daniel Alejandro. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área Desarrollo Rural. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituo de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Gaitan, Juan Jose. Instituto Nacional de Tecnologia Agropecuaria (INTA). Centro de Investigación de Recursos Naturales. Instituto de Suelos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Villagra, Edgar Sebastian. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área Desarrollo Rural. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituo de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.subtypecientifico


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