Abstract

Miscanthus has been used to breed a variety of energy crops suitable for cultivation in various adverse environments. The collection, conservation, characterization and maintenance of Miscanthus genetic resources are the basic premises for improving Miscanthus crop varieties and their utilization. Large datasets will be generated at the same time. A system designed to manage and analyse those large datasets of Miscanthus germplasms in a coherent and systematic manner is urgently needed. In the present study, the Miscanthus Germplasm Database (MGDB) is constructed to rationalize the storage, update, query and analysis of Miscanthus germplasm data for a multiuser environment. A multi-criteria decision-making model has been introduced into the MGDB to help evaluate Miscanthus and screen elite germplasm. Four hundred eighty-five representative materials of Miscanthus were evaluated and the results are described below. 1. Assessment of the energy potential: Miscanthus lutarioriparius (particularly accession A0118) and Miscanthus floridulus (particularly accession C0540) are the best species to use for combustion for power generation (CPG)/pyrolysis for bio-oil production (PBP) and fermentation for ethanol production (FEP)/fermentation for biogas production (FBP), respectively. 2. Assessment of the breeding potential: The optimal crossing combination is M. lutarioriparius and M. floridulus because of the parental advantages and complementarity. The C0602/C0540 accessions (M. floridulus) represent a suitable parent together with A0118 to breed new varieties for CPG and PBP; A0118 represents as an alternative parent for breeding to improve C0540 for use in FEP and FBP. 3. Prediction of the species distribution: The elite germplasm resources of M. floridulus are mainly distributed in ten floristic regions: IIID9a, IIID9b, IIID9c, IIID9d, IIID10c, IIID11a, IIID11b, IIID11c, IIID11d and IIID12a. The elite germplasm resources of M. lutarioriparius are mainly distributed in four floristic regions: IIID9a, IIID9b, IIID9d and IIID10c.

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