Pregled bibliografske jedinice broj: 125356
Grouping of pedunculate oak provenances on the basis of biomass by applying cluster analysis
Grouping of pedunculate oak provenances on the basis of biomass by applying cluster analysis // Proceedings of the 25th International Conference on Information Technology Interfaces / Budin, Leo ; Lužar-Stiffler, Vesna ; Bekić, Zoran ; Hljuz Dobrić, Vesna (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2003. str. 217-221 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Grouping of pedunculate oak provenances on the basis of biomass by applying cluster analysis
Autori
Perić, Sanja ; Jazbec, Anamarija ; Gračan, Joso
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 25th International Conference on Information Technology Interfaces
/ Budin, Leo ; Lužar-Stiffler, Vesna ; Bekić, Zoran ; Hljuz Dobrić, Vesna - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2003, 217-221
Skup
Information Technology Interfaces
Mjesto i datum
Cavtat, Hrvatska, 16.06.2003. - 19.06.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
pedunculate oak provenances; biomass; cluster analysis
Sažetak
During the pedunculate oak provenance trial the tree biomass was analysed on the basis of 5 variables (stem weight, live branches, dry branches, leaves). Through cluster analysis (hierarchy and k-means) pedunculate oak provenances were grouped and the differences in monitored features between resulting clusters were analysed using the univariate and multivariate variance analysis. Results show that the inclusion of individual provenances into clusters corresponds in both the hierarchy and non-hierarchy procedure (in total 4). Clusters don’ t follow geographic links, therefore we assume genetic connectedness. Cluster 1 (Vrbanja) shows the highest values for all analysed features except the dry branches, which indicates that the process of branch dying and stem cleaning in this provenance has not yet started. Cluster 3 (Motovun, Dubica, Skakavac, Guševac, Morović, V.Gorica) shows the lowest values for all analysed features except the dry branches. Clusters 2 (Orlovac, Spačva, Zdenački Gaj, Ključevi, Novska, Gunja, Lipovljani) and 4 (Okučani and Đurđenovac) show very similar results for every feature except the dry branches where cluster 4 has statistically a significantly higher value than cluster 2 although they are geographically relatively close.
Izvorni jezik
Engleski
Znanstvena područja
Šumarstvo
