000074866 001__ 74866
000074866 005__ 20200117221643.0
000074866 0247_ $$2doi$$a10.3390/en11061365
000074866 0248_ $$2sideral$$a107195
000074866 037__ $$aART-2018-107195
000074866 041__ $$aeng
000074866 100__ $$aPari, L.
000074866 245__ $$aPruning biomass potential in Italy related to crop characteristics, agricultural practices and agro-climatic conditions
000074866 260__ $$c2018
000074866 5060_ $$aAccess copy available to the general public$$fUnrestricted
000074866 5203_ $$aThis work, developed under the EuroPruning Project, aims to look at relations between pruning biomass production and several factors related both to crop species and management. The aim is to find out mathematical relations that allow improvement of the biomass potential assessment. This is generally calculated using biomass production ratios. These ratios are variable due to the influence of several aspects. On the one hand there are crop characteristics—such as species, cultivar, and age—and on the other, crop management, which is often associated to local habits and conditions such as the training system, planting pattern, density, pruning methods, irrigation and climate. This work has been produced by gathering data from literature reviews and surveying. The subset of Italian records in the EuroPruning database consists of 70 records. Each record contains the biomass production ratio and eight agronomic variables. Additionally, a set of six climatic and agro-climatic groups of variables (in total 28 variables) have been added to each record. Moderate to good correlations have been found, especially with few climatic factors. As a result, two regression models are proposed for the evaluation of the vineyard and olive tree pruning biomass ratios for Italy, and applied to assess pruning biomass potential.
000074866 536__ $$9info:eu-repo/grantAgreement/EC/FP7/312078/EU/Development and implementation of a new, and non existent, logistics chain for biomass from pruning/EUROPRUNING
000074866 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000074866 590__ $$a2.707$$b2018
000074866 591__ $$aENERGY & FUELS$$b56 / 103 = 0.544$$c2018$$dQ3$$eT2
000074866 592__ $$a0.612$$b2018
000074866 593__ $$aControl and Optimization$$c2018$$dQ1
000074866 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ1
000074866 593__ $$aRenewable Energy, Sustainability and the Environment$$c2018$$dQ1
000074866 593__ $$aEnergy Engineering and Power Technology$$c2018$$dQ1
000074866 593__ $$aEnergy (miscellaneous)$$c2018$$dQ1
000074866 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000074866 700__ $$aAlfano, V.
000074866 700__ $$aGarcia-Galindo, D.
000074866 700__ $$aSuardi, A.
000074866 700__ $$aSantangelo, E.
000074866 773__ $$g11, 6 (2018), en11061365[16p]$$pENERGIES$$tEnergies$$x1996-1073
000074866 8564_ $$s653218$$uhttps://zaguan.unizar.es/record/74866/files/texto_completo.pdf$$yVersión publicada
000074866 8564_ $$s104210$$uhttps://zaguan.unizar.es/record/74866/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000074866 909CO $$ooai:zaguan.unizar.es:74866$$particulos$$pdriver
000074866 951__ $$a2020-01-17-22:05:22
000074866 980__ $$aARTICLE