Proceedings of the XLVII Italian
Society of Agricultural Genetics - SIGA Annual Congress
Verona,
Italy - 24/27 September, 2003
ISBN 88-900622-4-X
Poster
Abstract - 2.27
THE
ASCERTATION OF GENETIC CORRESPONDENCE OF ONE GENOTYPE IN ALMOND (AMYGDALUS
COMMUNIS
L.) FROM APULIA
R. CHAABANE*, F.
LAMAJ*, N. LAMASCESE**, D. DE GIORGIO**, P. RESTA*
*) Dipartimento
di Biologia e Chimica Agro-forestale e ambientale (DiBCA), Università
degli Studi di Bari, Via Amendola 165/A, Bari, Italy
**) Istituto
Sperimentale Agronomico, Ministero delle Politiche Agricole e Forestali, Via C.
Ulpiani 5, Bari, Italy
cultivar
identification, molecular descriptors, multivariate analysis, probability of
coincidence, AFLP
Cultivar
collections are fundamental for fruit tree breeding, and their maintenance
drains significant resources. The study of homonimous and synonimous
denominations has a role in the optimization of collections by eliminating
duplications and clarifying uncertainties over cultivar classification. The
employment of DNA comparisons together with the traditional
morpho-physiological descriptors is a powerful approach for the optimization of
collections. Fingerprint analyses are particularly well suited as a rapid and
precise tool in the field of genetic correspondence in vegetatively propagated
crops. However, their application is not immune to mistakes and subjectivity,
thus it is necessary to use internal parameters to check the results. One
significant test is first to identify an unknown sample within a collection based
on the fingerprint alone, and to then establish a conservative estimate of the
probability in association with the resulting identity. To this purpose, in a
more general research in progress, DNA was isolated from the leaves of an
almond cultivar, whose identity remained unknown throughout the steps of the
analysis. The AFLP fingerprints obtained were compared with those corresponding
to 43 almond cultivars. Based on the presence/absence matrix, both a
descriptive analysis by the UPGMA-SM dendrogram and a statistical analysis by
the estimation of the probability of coincidence of the DNA profiles were
made. Both the unknown sample and
the cultivars analysed originated from the collection gathered and maintained
by the MiPAF Experimental Station of Bari. This collection includes numerous
denominations with diverse diffusion in the Apulian region and, therefore, the
group of 43 cultivars analysed is representative of the almond population in
Apulia.
The unknown sample was correctly attributed as being the cultivar “Rossa”. This result demonstrates the possibility of identifying a corresponding cultivar on the basis of leaf DNA analysis, without prior information, and in a relatively short time with a few AFLP primer combinations. In addition, an estimate was determined of the probability that the unknown sample and the corresponding cultivar had the same genotype with respect to the alternative hypothesis that casuality led to the obtained result. In view of these results the possibile applications of DNA analyses in the field of cultivar identification and genetic correspondence are discussed.