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Development of a Core Collection for Perennial Medicago Plant Introductions
Author(s) -
Basigalup D. H.,
Barnes D. K.,
Stucker R. E.
Publication year - 1995
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci1995.0011183x003500040042x
Subject(s) - germplasm , biology , medicago , trait , forage , medicago sativa , selection (genetic algorithm) , genetic diversity , agronomy , microbiology and biotechnology , genetics , population , demography , computer science , gene , artificial intelligence , sociology , programming language
The size and heterogeneity of world germplasm collections often have hindered their evaluation and utilization. Most of the diversity of germplasm collections could be represented by core collections (or core subsets), which are representative samples of the genetic diversity of a crop species and its relatives. Individual accessions not included in the core are retained as reserve subsets . The objectives of this research were to evaluate selection procedures for designating a core collection of plant introduction accessions (P.I.s) and to designate U.S.P.I. core collection for alfalfa ( Medicago sativa L. sensu lato ). About 1100 perennial Medicago P.I.s collected from 47 countries were classified into 18 geographical groups based on passport data from the Germplasm Resources Information Network (GRIN) System. data file was developed for 50 agronomic, forage quality, root and crown morphology, pest resistance, and stress tolerance traits. Eight methods for developing a 200‐entry core were compared by nonparametric procedures with the original P.I. collection. The methods included multivariate procedures, random and/or directed selection of entries, and a totally randomly selected core. The sign test was used to compare the means and the variances for 38 traits having the most complete data sets among the cores developed by the eight methods. None of the methods changed the trait means; but nearly all methods, with the exception of the randomly selected core, significantly increased the variance for most traits. Two methods were the best for designating a core collection. One method combined cluster analysis based on principal components within each geographical group with randoms election of entries within each cluster (Method 3), the other method was direct selection of entries within each geographical group (Method 8). Method 3 needs a complete data set and extensive computer facilities. Method 8 can utilize incomplete data sets and does not require computer facilities. Method 8 was chosen for designating the core collection for perennial Medicago spp. P.I.s because it retained the greatest variability for all traits. This 200‐entry core was one of the first designated for any crop in the GRIN System.