Title:
Can the High Correlation Between Yield, Stem Height and Stem Diameter in Giant Reed (Arundo Donax L.) Have a Practical Use?
Author(s):
Cappelli, G.A., Ginaldi, F., Ceotto, E.
Document(s):
Paper
Poster
Abstract:
Despite several aspects of giant reed physiology have been recently studied, the relationships between yield and biometric traits (i.e. stem height, diameter and density) have not been thoroughly investigated so far. To tackle this research question and to provide insight into the potential application of biometric traits for yield forecasting purposes, a dedicated field experiment combining different N supply and harvest strategies was carried out in Northern Italy in the period 2016-2018. Results proved that i) stem height and diameter were the most informative traits for yield estimation under explored conditions and ii) the crop tended to invest nitrogen and carbon resources in few tall and large stems rather than increasing the stem number per unit area. Despite multiple linear regression models were not able to reproduce some aspects of the system, they provided useful information i) to improve the adherence of forecasting models to the real system and ii) to derive optimal sampling strategies depending on the best trade off among model performances (accuracy and complexity), sampling method feasibility and user preference.
Keywords:
modelling, perennial energy crops, yield, dry matter, multiple linear regression, plant morphological traits
Topic:
Biomass Resources
Subtopic:
Biomass crops and energy grasses
Event:
27th European Biomass Conference and Exhibition
Session:
1BV.8.1
Pages:
166 - 170
ISBN:
978-88-89407-19-6
Paper DOI:
10.5071/27thEUBCE2019-1BV.8.1
Price:
FREE
