GCB Bioenergy · 2014 · 61 citations · 31 references
AgricultureAgronomyCrop SciencesCrop EcologyCrop ProductionSoil-water RelationsCrop Water RequirementsCrop-water RelationsEvapotranspiration EstimationPlant Water UseWater-use EfficiencyWater-use Efficiency In EcosystemsAgronomic CharacterizationAgronomic ProductivityCrop Water CoefficientCrop Water ConsumptionCrop Water Requirement AssessmentEvapotranspirationPlant Water Use CoefficientsWater Use Efficiency Assessment
Abstract Giant reed ( Arundo donax L.) and miscanthus ( Miscanthus × giganteus Greef et Deu.) are two perennial rhizomatous grasses ( PRG s), considered as promising sources of lignocellulosic biomass for renewable energy production. Although the agronomic performance of these species has been addressed by several studies, the literature dedicated to the crop water use of giant reed and miscanthus is still limited. Our objective was thus to investigate giant reed and miscanthus water use by assessing crop evapotranspiration ( ET c ), crop coefficients (K c ) and water use efficiency ( WUE ). The study was carried out in central Italy and specifically designed water‐balance lysimeters were used to investigate the water use of these PRG s during the 2010 and 2011 growing seasons. Giant reed showed the highest cumulative evapotranspiration, with an average consumption of approximately 1100 mm, nearly 20% higher than miscanthus (900 mm). Crop evapotranspiration rates differed significantly between the species, particularly during the midseason (from June to September), when average daily ET c was 7.4 and 6.2 mm in giant reed and miscanthus respectively. The K c values determined in our study varied from 0.4 to 1.9 for giant reed and 0.3 to 1.6 for miscanthus. Finally, WUE was higher in miscanthus than in giant reed, with average values of 4.2 and 3.1 g L −1 respectively. Further studies concerning water use under nonoptimal water conditions should be carried out and an assessment of the response to water stress of both crops is necessary to integrate the findings from this study.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Miscanthus: European experience with a novel energy crop
Iris Lewandowski, J. C. Brown, J. M. O. Scurlock et al. · Biomass and Bioenergy · 2000 · 974 citations
Agriculture, Agronomy, Crop Sciences +10
Luciana Gabriella Angelini, Lucia Ceccarini, Nicoletta Nassi o Di Nasso et al. · Biomass and Bioenergy · 2008 · 435 citations