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resumen

Resumen
Absorbed solar radiation and radiation use efficiency (RUE) can be used to estimate net primary productivity of terrestrial ecosystems. In ecosystems dominated by grasses, belowground productivity cannot be neglected in terms of carbon balance because of the high proportion of biomass allocated to roots. The objective of this study was to quantify total RUE (tRUE), which includes both below and aboveground biomass of two C3 (Lolium perenne and Dactylis [ver mas...]
dc.contributor.authorCristiano, Piedad María
dc.contributor.authorPosse Beaulieu, Gabriela
dc.contributor.authorDi Bella, Carlos Marcelo
dc.date.accessioned2019-03-28T16:51:34Z
dc.date.available2019-03-28T16:51:34Z
dc.date.issued2015-09
dc.identifier.issn1744-697X (Online)
dc.identifier.otherhttps://doi.org/10.1111/grs.12086
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4776
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/full/10.1111/grs.12086
dc.description.abstractAbsorbed solar radiation and radiation use efficiency (RUE) can be used to estimate net primary productivity of terrestrial ecosystems. In ecosystems dominated by grasses, belowground productivity cannot be neglected in terms of carbon balance because of the high proportion of biomass allocated to roots. The objective of this study was to quantify total RUE (tRUE), which includes both below and aboveground biomass of two C3 (Lolium perenne and Dactylis glomerata) and one C4 (Cynodon dactylon) grass species, under four treatments with contrasting water and nitrogen availabilities. The ratios between tRUE and aboveground RUE (aRUE) for species and treatments were analyzed. The tRUE was calculated from measurements of incoming photosynthetically active radiation (PAR), the fraction of PAR intercepted and shoots and roots productivity in pot experiments. The highest tRUE values in the three species were found in the treatment without growth limitations (4.32–6.93 g MJ−1), while the lowest tRUE values were observed under water and nutrient deficits conditions (2.62–2.85 g MJ−1). Contrary to predictions from the optimization theory, one of the C3 grass species allocated relatively high biomass to the roots when water availability was high while for the C4 grass species the shoot:root ratios and the root mass fraction did not change under resource limitation conditions compared to ample resource availability. tRUE exhibited small changes in the C4 species with variations in resource availability while it did decrease substantially for the C3 species when at least one of the resources was limited. These results highlight belowground biomass importance in calculating RUE of grasses.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherWiley; Japanese Society of Grassland Scienceeng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceGrassland science 61 (3) : 131-141. (September 2015)eng
dc.subjectGramíneas Forrajerases_AR
dc.subjectFeed Grasseseng
dc.subjectUse Efficiencyeng
dc.subjectEficacia en el Usoes_AR
dc.subjectRadiationeng
dc.subjectRadiaciónes_AR
dc.subjectWater Availabilityeng
dc.subjectDisponibilidad del Aguaes_AR
dc.subjectNitrógenoes_AR
dc.subjectNitrogeneng
dc.subjectCynodon Dactylones_AR
dc.subjectDactylis Glomerataes_AR
dc.subjectGrasslandseng
dc.subjectPraderases_AR
dc.subjectLolium Perennees_AR
dc.subjectRootseng
dc.subjectRaíceses_AR
dc.titleTotal and aboveground radiation use efficiency in C3 and C4 grass species influenced by nitrogen and water availabilityeng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenInstituto de Clima y Aguaes_AR
dc.description.filFil: Cristiano, Piedad María. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Ecología Funcional; Argentinaes_AR
dc.description.filFil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentinaes_AR
dc.subtypecientifico


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