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doctoral thesis
Asocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera
2020. urn:nbn:hr:151:357327
Guberac, Sunčica
Josip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
Department of Plant Production and Biotechnology

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Guberac, S. (2020). Asocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera (Doctoral thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:151:357327

Guberac, Sunčica. "Asocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:151:357327

Guberac, Sunčica. "Asocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:151:357327

Guberac, S. (2020). 'Asocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera', Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, accessed 08 May 2024, https://urn.nsk.hr/urn:nbn:hr:151:357327

Guberac S. Asocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera [Doctoral thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek; 2020 [cited 2024 May 08] Available at: https://urn.nsk.hr/urn:nbn:hr:151:357327

S. Guberac, "Asocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera", Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:151:357327

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Metadata
TitleAsocijativna analiza fenotipskih svojstava heksaploidne pšenice i molekularnih markera
Title (english)Association analysis of phenotypic traits and molecular markers in hexaploid wheat
AuthorSunčica Guberac
MentorSonja Vila (mentor)
Committee memberSonja Petrović (predsjednik povjerenstva)
Committee memberAndrijana Rebekić (član povjerenstva)
Committee memberTihomir Čupić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(Department of Plant Production and Biotechnology)
Osijek
Defense date and country2020-01-09, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Genetics and Breeding of Plants, Animals and Microorganisms
Universal decimal classification
(UDC)		631/632 - Agriculture. Plant diseases. Plant protection
Thesaurus
(NSK Kontrolirani rječnik)
Abstract
Cilj ovoga istraživanja bio je ispitati genetsku varijabilnost genotipova pšenice na temelju rezultata fenotipske i molekularne evaluacije te provesti asocijativnu analizu. Istraživanje je provedeno na 120 kultivara heksaploidne pšenice. Poljski pokus postavljen je kroz četiri vegetacijske godine. Izmjereno je i ocjenjeno 10 fenotipskih svojstava pšenice (osjatost, gustoća klasa, broj dana do klasanja, visina biljke, duljina klasa, broj klasića po klasu, broj zrna po klasu, masa 1000 zrna, masa klasa i prinos). Za provedbu PCR analize korišteno je šest grupa funkcionalnih markera (za identifikaciju Rht, Ppd i Vrn alela, gena povezanih s otpornošću na abiotski stres i masom 1000 zrna te identifikaciju prisustva 1RS translokacije pšenica-raž). U laboratoriju Diversity Arrays Technology Sveučilišta u Canberri (Australija) provedena je analiza uzoraka DArTseq metodom. Analizom varijance utvrđen je statistički značajan utjecaj (p < 0,001) godine pokusa na sva ispitivana agronomska svojstva. Na temelju korelacijske, regresijske i path analize zaključeno je da su masa klasa, broj zrna po klasu i masa 1000 zrna svojstva koja imaju najveći utjecaj na prinos. PIC vrijednosti DArTseq markera u prosjeku su iznosile 0,237, a He vrijednosti 0,289. Analizom molekularne varijance utvrđeno je da je najveći dio varijabilnosti uzrokovan razlikama između jedinki (90,79 %). Analizom strukture populacije utvrđeno je postojanje tri genska skupa (K = 3). Na temelju GLM modela utvrđeno je postojanje 127 visoko značajnih veza (p < 0,01), a na temelju MLM modela njih 71. Trideset osam veza bilo je visoko značajno u oba modela.
Abstract (english)
The aim of this study was to examine the genetic variability of wheat genotypes based on the results of phenotypic and molecular evaluation and to carry out an association analysis. The study was conducted on 120 hexaploid wheat cultivars. The field experiment was set up over four vegetation years, where 10 phenotypic traits of wheat were measured and evaluated (presence of awns, spike density, days to heading, plant height, spike length, number of spikelets per spike, number of grains per spike, 1000 kernel weight, spike weight and yield). Six groups of functional markers were used for PCR analysis (identification of Rht, Ppd and Vrn alleles, genes associated with abiotic stress tolerance and 1000 kernel weight, 1RS wheat-rye translocation). DArTseq analysis was performed in the Diversity Arrays Technology laboratory (University of Canberra, Australia). Analysis of variance revealed a statistically significant influence (p <0.001) of the experiment year on all tested agronomic traits. Based on the correlation, regression and path analysis it was concluded that the spike weight, number of grains per spike and 1000 kernel weight are traits having the greatest influence on the yield. Average PIC value of DArTseq markers was 0.237 and average He value 0.289. Molecular variance analysis revealed that most of the variability was caused by differences between individuals (90.79 %). Analysis of the population structure revealed the existence of three gene pools (K = 3). GLM identified 127 highly significant associations (p <0.01) and MLM 71. Thirty-eight associations were significant in both models used.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:151:357327
Promotion2020
Study programmeTitle: agricultural science
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje biotehničkih znanosti, polje poljoprivreda (doktor/doktorica znanosti, područje biotehničkih znanosti, polje poljoprivreda)
Type of resourceText
Extent147 str.; tablice i graf. prikazi; 30 cm
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Public notedisertacija
Created on2020-10-16 11:27:23