Strategies for developing core collections of sugarcane (Saccharum officinarum L.) germplasm - comparison of sampling from diversity groups constituted by three different methods

Quantitative and morphological data collected on a germplasm collection of 690 sugarcane accessions were used to obtain diversity groups based on 3 different methods. 1) The accessions were stratified into diversity groups on the basis of geographical origin of the accessions. 2) The base collection...

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Bibliographic Details
Published inPlant Genetic Resources Newsletter (eng) no. 134
Main Authors Balakrishnan, R. (Sugarcane Breeding Inst., Coimbatore (India)), Nair, N.V
Format Publication
LanguageEnglish
Published Rome (Italy) FAO/IPGRI 01.06.2003
Subjects
BIODIVERSIDAD
BIODIVERSITY
BIODIVERSITÉ
CANNE À SUCRE
CAÑA DE AZÚCAR
COLECCIONES DE MATERIAL GENÉTICO
COLLECTION DE MATÉRIEL GÉNÉTIQUE
GERMPLASM COLLECTIONS
INFORMATION PROCESSING
PROCESAMIENTO DE INFORMACIÓN
SACCHARUM OFFICINARUM
SUGARCANE
TRAITEMENT DE L'INFORMATION
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Summary:Quantitative and morphological data collected on a germplasm collection of 690 sugarcane accessions were used to obtain diversity groups based on 3 different methods. 1) The accessions were stratified into diversity groups on the basis of geographical origin of the accessions. 2) The base collection was stratified into a set of initial clusters through multivariate cluster analysis using the evaluation data. These clusters were further subdivided into diversity groups to take into account the distribution of accessions from important source countries within this set of initial clusters. 3) An information measure (designated as the Length of Encoded Attribute Values or LEAV index) was employed to stratify the collection into diversity groups. The efficiency of the 3 methods of grouping was evaluated by drawing core collections of 10-30% of the size of the whole collection from each of the 3 diversity groupings. The estimates of a pooled Shannon Diversity Index (SDI) and its sampling variance were used as the criteria to compare stratification methods. It was found that grouping of the accessions based on the LEAV index resulted in the least sampling variance. The LEAV index was also found suitable for obtaining core collections through directed selection, as per the principal component scores (PCS) method proposed by Noirot et al. (Genetic Resources and Crop Evolution. 43: 1-6, 1996).
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