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master's thesis
PCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice
2018. urn:nbn:hr:151:694259
Lukačević, Ivan Ante
Josip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
Department of Plant Production and Biotechnology

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Lukačević, I. A. (2018). PCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:151:694259

Lukačević, Ivan Ante. "PCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:151:694259

Lukačević, Ivan Ante. "PCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:151:694259

Lukačević, I. A. (2018). 'PCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:151:694259

Lukačević IA. PCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek; 2018 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:151:694259

I. A. Lukačević, "PCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:151:694259

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Metadata
TitlePCA analiza utjecaja vremenskih prilika na agronomska svojstva pšenice
Title (english)PCA analysis of the effect of weather conditions on agronomic traits in wheat
AuthorIvan Ante Lukačević
MentorSonja Petrović (mentor)
Committee memberAndrijana Rebekić (predsjednik povjerenstva)
Committee memberSonja Vila (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(Department of Plant Production and Biotechnology)
Osijek
Defense date and country2018-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Crop Production
Abstract
Većina je agronomskih svojstava kvantitativne prirode i na njih okolina ima velik utjecaj, a kombinacije gena otpornosti i adaptabilnosti stvaraju genotipove koji posjeduju mehanizme za ostvarivanje stalnih prinosa pod stresnim uvjetima okoline. Broj agronomskih svojstava pšenice je velik, a njihov međusobni odnos često je složen te se multivarijatne metode statističke analize kao što je analiza glavnih komponenata (PCA) koriste za redukciju podataka i isticanje najznačajnijih varijabli koje su utjecale na varijabilnost uzorka. Cilj ovog istraživanja bio je ispitati utjecaj vremenskih prilika na agronomska svojstva pšenica i grupiranje ispitivanih sorata s obzirom na promjenu vrijednosti agronomskog svojstva između godina primjenom PCA analize. U analizu je uključeno ukupno 40 kultivara porijeklom iz Austrije, Francuske, Hrvatske i Mađarske koji su sijani na pokusnim parcelama u 2013./2014. i 2014./2015. pokusnoj godini. Ispitivana su agronomska svojstva visine biljke, broja dana do klasanja i prinosa. PCA analiza u obje godine pokusa pokazala je sličnosti u korelacijama između agronomskih svojstava i grupiranja kultivara na koje je ponajviše utjecala visina biljke. Istaknuti su kultivari s visokim prinosima, niskim stabljikama i malim brojem dana do klasanja u obje godine pokusa. PCA analiza razlika agronomskih svojstava istakla je kultivare koji su imali najmanje razlike za dva ili više ispitivanih agronomskih svojstava u cijelom uzorku.
Abstract (english)
Most of agronomic traits are quantitative in their nature, so environment plays a big role in their expression. Combinations of different stress resistance genes and genes involved in adaptation mechanisms in plants are the main reason for developing genotypes that have ability to maintain constant yields under stress conditions on field. Because of the big number of agronomic traits in wheat and its complex correlations, multivariate statistycal analysis like principal component analysis (PCA) are used for data reduction and emphasis of variables that contributed the most in total variability of the sample. The main goal of this analysis is to explore the influence of the environmental factors on agronomic traits of wheat and grouping of the cultivars based on the change of agronomic traits in two years of experiment using PCA. Analysis included 40 cultivars from Austria, France, Croatia and Hungary. They were sown on experimental fields in seasons 2013./2014. and 2014./2015. Analised agronomic traits in this paper were plant height, days to heading and yield. PCA from both years of experiment showed similarity in correlations between agronomic traits and grouping of cultivars which was mostly influenced by plant height. Analysis highlighted cultivars that stand out in aspect of relatively big yields, low plant height and small number of days to heading in both years. PCA analysis of changes in agronomic traits pointed cultivars that had the smallest differences in two or more analised traits.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:151:694259
Study programmeTitle: Plant Production; specializations in: Plant Production, Plant Nutrition and Soil Science, Plant Selection and Seed Production, Plant Protection
Course: Plant Production
Study programme type: university
Study level: graduate
Academic / professional title: magistar/ magistra inženjer/inženjerka bilinogojstva (magistar/ magistra inženjer/inženjerka bilinogojstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Public noteDiplomski rad
Created on2018-11-19 12:13:50