ISHS Acta Horticulturae 660: V International Congress on Artichoke
YIELD AND BIOMETRIC CHARACTERISTICS OF 9 CLONES SELECTED FROM THE POPULATION OF "SPINOSO SARDO" ARTICHOKES |
| Authors: | A.B. Pisanu, G.M. Mallica, L. Baghino, M. Cadinu, A. Repetto, S. Lanteri, E. Portis, E. Saba |
| Abstract:
As part of the clonal selection carried out since 1978 by CRAS on “Spinoso sardo” artichoke, a number of clones having interesting characteristics for the fresh market have been observed. In order to characterise the most promising selections and make it possible to register them on the National Register of varieties, an agronomical comparison among nine clones was started. The experiment was carried out for three consecutive years at the CRAS farm in Oristano on a net area of 600 square metres, according to a randomised-block experimental scheme with four replications and simple 10-plant plots. The following measurements were carried out on the vegetation when the first head was harvested: plant height, height of insertion of first-order head and number of leaves per plant. Moreover the following main production parameters were observed: number of heads per plant subdivided per order and time of emission, polar and equatorial diameter and weight of head, total length and number of leaves of stalk, and total weight of head and stalk. Significant differences were pointed out (Duncan Test) among the clones for almost all measured parameters: clone 50 B was differentiated for its plant biometric characteristics, and clones 108 B /11, 39 B and 37 B for its yield and early maturity. The Meli clone has been pointed out as having the best head biometric characteristics. At the same time the Department of Agronomical Science and Agrarian Vegetable Genetics of the University of Turin carried out genetic characterisation. The 9 clones. were characterized by using 25 AFLP (amplified fragment length polymorfphysm) primer combination ad electrophoretic pattern scores were used to produce a dendrogram based on the Jaccard's Similarity Index (JSI) and UPGMA (Unweighted Pair Group Method using Arithmetic Averages) clustering. | |
Download Adobe Acrobat Reader (free software to read PDF files) | |
