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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Strategies for developing a core collection of bladder clover (Trifolium spumosum L.) using ecological and agro-morphological data

K. Ghamkhar A D , R. Snowball A B , B. J. Wintle B and A. H. D. Brown C
+ Author Affiliations
- Author Affiliations

A Centre for Legumes in Mediterranean Agriculture (CLIMA), University of Western Australia, Crawley, WA 6009, Australia.

B Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, WA 6151, Australia.

C Centre for Plant Biodiversity Research, CSIRO Plant Industry, Canberra, ACT 2601, Australia.

D Corresponding author. Email: kioumars@cyllene.uwa.edu.au

Australian Journal of Agricultural Research 59(12) 1103-1112 https://doi.org/10.1071/AR08209
Submitted: 24 June 2008  Accepted: 13 October 2008   Published: 10 November 2008

Abstract

Core collections are a way to improve the functioning of germplasm collections through systematic evaluation, exploitation, and improved management of the whole collection. The published sizes of cores have ranged from 10 to 30% of the collection. The first step in developing a core collection is usually stratification of the whole collection. We adopted three approaches in the process of core designation. First, the existing ecological data and newly acquired agro-morphological (evaluation) data were analysed to determine the optimal method for capturing the ecological and morphological diversity of accessions. Second, different selection strategies were compared to identify the most powerful analysis with the greatest likelihood of covering maximum diversity. Third, the correlation between the two datasets was investigated. The annual pasture legume, bladder clover (Trifolium spumosum L.), was used for this pilot study because 80% of the existing 398 accessions have near-complete ecological data. The study found that a two-step selection process using ecological data and stratified proportional strategy followed by combined datasets and maximising strategy best represents the whole collection of T. spumosum in the core.

Additional keywords: canonical redundancy analysis (RDA), core size, ecogeography, GIS, MSTRAT, sampling strategy.


Acknowledgments

Thanks to the Grain Research and Development Corporation (GRDC), Australia, for funding this study. Thanks also to the staff of the Australian Trifolium Genetic Resources Centre (ATGRC) who maintain the passport and collection site database. Germplasm collectors who are the originators of these data are also gratefully acknowledged. Special acknowledgment goes to Pierre Legendre, University of Montreal (Canada), for introducing the RDA test to the first author. We also thank Doug McEachern, Pro Vice-Chancellor (Research and Innovation) at the University of Western Australia, for providing extra funding to the first author for preparing this paper.


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