TY - JOUR
T1 - Characterization of phenology, physiology, morphology and biomass traits across a broad Euro-Mediterranean ecotypic panel of the lignocellulosic feedstock Arundo donax
AU - Fabbrini, Francesco
AU - Ludovisi, Riccardo
AU - Alasia, Omar
AU - Flexas, Jaume
AU - Douthe, Cyril
AU - Carbó , Miquel Ribas
AU - Robson, Paul
AU - Taylor, Gail
AU - Scarascia-Mugnozza, Giuseppe
AU - Keurentjes, Joost J. B.
AU - Harfouche, Antonie
N1 - Funding Information:
European Commission's Seventh Framework Programme, Grant/Award Number: FP7/2012‐2017; FP7 Food, Agriculture and Fisheries, Biotechnology, Grant/Award Number: FP7‐311929; Brain Gain Program (Rientro dei cervelli) of the Italian Ministry of Education, University and Research
Funding Information:
This work was supported by grants from the European Commission's Seventh Framework Programme (FP7/2012‐ 2017) under the Grant Agreement Number FP7‐311929 (WATBIO), and the Brain Gain Program (Rientro dei cer-velli) of the Italian Ministry of Education, University and Research (A.H.). For the help with the field work and assistance with data entry, we thank Muriel Gaudet and Paolo Latini.
Publisher Copyright:
© 2018 The Authors GCB Bioenergy Published by John Wiley & Sons Ltd.
PY - 2019/2/8
Y1 - 2019/2/8
N2 - Giant reed (Arundo donax L.) is a perennial rhizomatous grass, which has attracted great attention as a potential lignocellulosic feedstock for bioethanol production due to high biomass yield in marginal land areas, high polysaccharide content and low inhibitor levels in microbial fermentations. However, little is known about the trait variation that is available across a broad ecotypic panel of A. donax nor the traits that contribute most significantly to yield and growth in drought prone environments. A collection of 82 ecotypes of A. donax sampled across the Mediterranean basin was planted in a common garden experimental field in Savigliano, Italy. We analysed the collection using 367 clumps representing replicate plantings of 82 ecotypes for variation in 21 traits important for biomass accumulation and to identify the particular set of ecotypes with the most promising potential for biomass production. We measured morpho‐physiological, phenological and biomass traits and analysed causal relationships between traits and productivity characteristics assessed at leaf and canopy levels. The results identified differences among the 82 ecotypes for all studied traits: those showing the highest level of variability included stomatal resistance, stem density (StN), stem dry mass (StDM) and total biomass production (TotDM). Multiple regression analysis revealed that leaf area index, StDM, StN, number of nodes per stem, stem height and diameter were the most significant predictors of TotDM and the most important early selection criteria for bioenergy production from A. donax. These traits were used in a hierarchical cluster analysis to identify groups of similar ecotypes, and a selection was made of promising ecotypes for multiyear and multisite testing for biomass production. Heritability estimates were significant for all traits. The potential of this ecotype collection as a resource for studies of germplasm diversity and for the analysis of traits underpinning high productivity of A. donax is highlighted
AB - Giant reed (Arundo donax L.) is a perennial rhizomatous grass, which has attracted great attention as a potential lignocellulosic feedstock for bioethanol production due to high biomass yield in marginal land areas, high polysaccharide content and low inhibitor levels in microbial fermentations. However, little is known about the trait variation that is available across a broad ecotypic panel of A. donax nor the traits that contribute most significantly to yield and growth in drought prone environments. A collection of 82 ecotypes of A. donax sampled across the Mediterranean basin was planted in a common garden experimental field in Savigliano, Italy. We analysed the collection using 367 clumps representing replicate plantings of 82 ecotypes for variation in 21 traits important for biomass accumulation and to identify the particular set of ecotypes with the most promising potential for biomass production. We measured morpho‐physiological, phenological and biomass traits and analysed causal relationships between traits and productivity characteristics assessed at leaf and canopy levels. The results identified differences among the 82 ecotypes for all studied traits: those showing the highest level of variability included stomatal resistance, stem density (StN), stem dry mass (StDM) and total biomass production (TotDM). Multiple regression analysis revealed that leaf area index, StDM, StN, number of nodes per stem, stem height and diameter were the most significant predictors of TotDM and the most important early selection criteria for bioenergy production from A. donax. These traits were used in a hierarchical cluster analysis to identify groups of similar ecotypes, and a selection was made of promising ecotypes for multiyear and multisite testing for biomass production. Heritability estimates were significant for all traits. The potential of this ecotype collection as a resource for studies of germplasm diversity and for the analysis of traits underpinning high productivity of A. donax is highlighted
KW - Arundo donax
KW - biomass
KW - ecotype variability
KW - growth traits
KW - lignocellulosic biomass
KW - multivariate analysis
KW - perennial grasses
KW - phenology
KW - physiology
UR - http://www.scopus.com/inward/record.url?scp=85053445412&partnerID=8YFLogxK
U2 - 10.1111/gcbb.12555
DO - 10.1111/gcbb.12555
M3 - Article
SN - 1757-1693
VL - 11
SP - 152
EP - 170
JO - GCB Bioenergy
JF - GCB Bioenergy
IS - 1
ER -