Sampling strategy to develop a core collection of Uruguayan maize landraces based on morphological traits

Citation
M. Malosetti et T. Abadie, Sampling strategy to develop a core collection of Uruguayan maize landraces based on morphological traits, GEN RESOUR, 48(4), 2001, pp. 381-390
Citations number
36
Categorie Soggetti
Plant Sciences
Journal title
GENETIC RESOURCES AND CROP EVOLUTION
ISSN journal
09259864 → ACNP
Volume
48
Issue
4
Year of publication
2001
Pages
381 - 390
Database
ISI
SICI code
0925-9864(2001)48:4<381:SSTDAC>2.0.ZU;2-E
Abstract
Core collections were suggested to improve germplasm utilization. A core co llection is a subset chosen to represent the diversity of a collection with a minimum of redundancies. Because diversity is distributed between and wi thin groups with different degrees of organization, an adequate classificat ion of accessions into related groups should be performed prior to the sele ction of a core collection. Different classification strategies for the Uru guayan Maize Collection were compared, and the best one was used to select a core collection. The following classification strategies were compared fo llowing a multivariate approach using the available maize data base: i) rac ial classification, ii) geographic origin (south and north of the country), and iii) a combination of kernel type and geographic origin. The third opt ion was considered the best classification rule, since it takes into accoun t two points which are closely related to the distribution of diversity: ge notypic composition and geographic origin. The following five groups were i dentified in the collection: a) pop, b) floury, c) dent, d) southern flint- semiflints, and e) northern flint-semiflints. Eight core collections, each of 90 accessions, were selected, using different strategies to weight the g roups in the core and to select the accessions from the groups. The P, C, a nd L strategies were used and combined with either random selection within the group or the Relative Diversity method. Two samples of 90 accessions we re obtained at random without considering the classification. The Relative Diversity method combined with the L strategy produced the best core collec tion, as it retained the highest percentage of the ranges for the 17 variab les included in the analysis. On average, 91% of the ranges were retained i n the core, confirming its representativeness.