Morfološka karakterizacija 11 sorti masline s kolekcije u Vodnjanu u 2022. godini

master's thesis

• Title (english): Morphological characterisation of 11 olive varieties from national collection in Vodnjan in year 2022
• Author: Dunja Čičak
• Mentor: Đani Benčić (mentor)
• Committee member: Đani Benčić (predsjednik povjerenstva)
• Committee member: Kristina Batelja Lodeta (član povjerenstva)
• Committee member: Ivica Ljubičić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Agriculture; (Department of Pomology); Zagreb
• Defense date and country: 2023-07-12, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Agronomy

Abstract

Raznolikost sorata biljnih vrsta važna je stavka bioraznolikosti. Autohtone sorte masline važne su i u ekonomskom smislu jer ulja od autohtonih sorti mogu biti proizvod s dodanom vrijednošdu. Zadnjih desetljeda razvijene su brojne molekularne metode za identifikaciju sorata masline. Molekularne metode su precizne i ne ovise o pedoklimatskim uvjetima. Ipak, morfološke metode ne gube na važnosti: morfološke karakteristike i dalje su glavni kriterij za opis novih sorata. Razvijeni su mnogi računalni sustavi za mjerenje morfoloških karakteristika iz slike. Brojni autori smatraju da su karakteristike koštice najpouzdanije za identifikaciju sorata. U ovom istraživanju mjerene su, pomodu WinSEEDLE™ sustava, morfometrijske karakteristike po 40 koštica za svaku od 11 sorti masline ('Buža vodnjanska ženska', ‘Plominka’, ‘Drobnica’, ‘Levantinka’, ‘Mezenica’, ‘Sitnica’, ‘Slivnjača’, ‘Velika Lastovka’, ‘Leccino’, ‘Pendolino’ i jedan varijetet nepoznatog genotipa, potencijalna sorta) iz kolekcijskog nasada u Vodnjanu godine 2022.. Statistička analiza napravljena je jednosmjernom analizom varijance i Tuckey-Kramerovim post hoc testom. U usporedbi s prijašnjim istraživanjima, izmjerene su manje vrijednosti morfometrijskih parametara koštice, dok je omjer širine i duljine koštice najmanje varirao. Sorta 'Slivnjača' najviše se ističe po svojim morfometrijskim karakteristikama u odnosu na druge sorte u istraživanju.

Abstract (english)

Diversity of varieties is an important part of biodiversity. Autochthonous olive varieties are also important economically because oil from those varieties could be a value-added product. A lot of molecular methods for olive variety identification have been developed in the last decades. Molecular methods are precise and they don't depend on pedoclimatic conditions. However, morphological methods remain important: morphological characteristics are still the main criterium for new variety description. Also computational methods using digital imaging technology are developed to measure morphological characteristics. It is commonly claimed that endocarp characteristics are the most reliable for olive variety identification. This research includes 11 olive varieties ('Buža vodnjanska ženska', ‘Plominka’, ‘Drobnica’, ‘Levantinka’, ‘Mezenica’, ‘Sitnica’, ‘Slivnjača’, ‘Velika Lastovka’, ‘Leccino’, ‘Pendolino’ and a variety of unknown genotyp) from a national collection in Vodnjan in 2022. Morphometrical characteristics of 40 endocarps for each variety were measured using WinSEEDLE™ system. Statistical analysis included one-way ANOVA and Tukey-Kramer post hoc test. Measued values of morphometrical characteristics were minor compared to the previous research, except width to length ratio that demonstrated fewer differences. Cultivar 'Slivnjača' distinguishes herself the most by morphometrical characteristics among other observed varieties.

• Keywords: sorte masline; morfološka karakterizacija; WinSEEDLE™ sustav
• Keywords (english): olive varieties; morphological characterisation; WinSEEDLE™ system
• Language: croatian
• URN:NBN: urn:nbn:hr:204:105527
• Study programme: Title: Horticulture; Study programme type: university; Study level: graduate; Academic / professional title: magistar/ magistra inženjer/inženjerka hortikulture (magistar/ magistra inženjer/inženjerka hortikulture)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2023-07-19 06:32:54