Establishing a soybean germplasm core collection

Core collections are of strategic importance as they allow the use of a small part of a germplasm collection that is representative of the total collection. The objective of this study was to develop a soybean core collection of the USDA Soybean Germplasm Collection by comparing the results of rando...

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Bibliographic Details
Published in:Field crops research 2010-11, Vol.119 (2), p.277-289
Main Authors: Oliveira, Marcelo F., Nelson, Randall L., Geraldi, Isaias O., Cruz, Cosme D., de Toledo, José Francisco F.
Format: Article
Language:English
Subjects:
Conservation
DNA fingerprinting
Genetic diversity
genetic variation
genotype
Germplasm bank
germplasm conservation
germplasm core collections
Glycine max
methodology
multivariate proportional selection strategy
plant genetic resources
qualitative analysis
quantitative trait loci
quantitative traits
sampling
Sampling strategies
soybeans
validity
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Summary:Core collections are of strategic importance as they allow the use of a small part of a germplasm collection that is representative of the total collection. The objective of this study was to develop a soybean core collection of the USDA Soybean Germplasm Collection by comparing the results of random, proportional, logarithmic, multivariate proportional and multivariate logarithmic sampling strategies. All but the random sampling strategy used stratification of the entire collection based on passport data and maturity group classification. The multivariate proportional and multivariate logarithmic strategies made further use of qualitative and quantitative trait data to select diverse accessions within each stratum. The 18 quantitative trait data distribution parameters were calculated for each core and for the entire collection for pairwise comparison to validate the sampling strategies. All strategies were adequate for assembling a core collection. The random core collection best represented the entire collection in statistical terms. Proportional and logarithmic strategies did not maximize statistical representation but were better in selecting maximum variability. Multivariate proportional and multivariate logarithmic strategies produced the best core collections as measured by maximum variability conservation. The soybean core collection was established using the multivariate proportional selection strategy.
ISSN:0378-4290
1872-6852
DOI:10.1016/j.fcr.2010.07.021