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master's thesis
Biometrijska procjena komponenti prinosa različitih sorti pšenice
2022. urn:nbn:hr:151:275890
Strahonja, Anđela
Josip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
Department of Plant Production and Biotechnology

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Strahonja, A. (2022). Biometrijska procjena komponenti prinosa različitih sorti pšenice (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:151:275890

Strahonja, Anđela. "Biometrijska procjena komponenti prinosa različitih sorti pšenice." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:151:275890

Strahonja, Anđela. "Biometrijska procjena komponenti prinosa različitih sorti pšenice." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:151:275890

Strahonja, A. (2022). 'Biometrijska procjena komponenti prinosa različitih sorti pšenice', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, accessed 31 March 2023, https://urn.nsk.hr/urn:nbn:hr:151:275890

Strahonja A. Biometrijska procjena komponenti prinosa različitih sorti pšenice [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek; 2022 [cited 2023 March 31] Available at: https://urn.nsk.hr/urn:nbn:hr:151:275890

A. Strahonja, "Biometrijska procjena komponenti prinosa različitih sorti pšenice", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:151:275890

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Metadata
TitleBiometrijska procjena komponenti prinosa različitih sorti pšenice
Title (english)Biometric assessment of components of the yield of different varieties of wheat
AuthorAnđela Strahonja
MentorDražen Horvat (mentor)
Committee memberBojan Stipešević (predsjednik povjerenstva)
Committee memberĐuro Banaj (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(Department of Plant Production and Biotechnology)
Osijek
Defense date and country2022-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Crop Production
Abstract
Statistika je empirijska znanstvena disciplina koja proučava masovne pojave u prirodi i društvu, prikupljanjem, sreĎivanjem i prezentiranjem statističkih podataka u obliku grafikona, tablica ili izvješća. Ona je znanost koja se bavi obradom rezultata u korist znanstvenih i praktičnih istraţivanja, koja proučava masovne pojave, promjene u razvoju ljudskog društva, nacionalnog gospodarstva i dr. Biometrika je statistička znanost koja je primjenjena na biološke podatke odnosno ona je statistika primjenjena u poljoprivredi, biologiji, biomedicniskim znanostima i zdravstvu, šumarstvu te drugim biotehničkim znanostima. Analiza varijance je računski postupak pomoću kojega moţemo ispitati podatke odreĎenoga pokusa, kroz procjenu otklona pojedinih srednjih vrijednosti od prosjećne vrijednosti uzoraka uzetih iz nekog osnovnog skupa. U ovome radu, biometrijska procjena komponenti prinosa četiri različite sorte pšenice (Bologna, Falado, Maja i El Nino), obraĎena je jednom od najvaţnijih parametrijskih statističkih metoda - analizom varijance.
Abstract (english)
Statistics is empirically scientific discipline that studies massive phenomenon in nature and society, gathering, sorting and presenting statistical data in form of graphs, tables or reports. It’s a science that deals with data processing in term of scientific and practical research, which studies massive phenomenons, changes in development of society, national economy and other. Biometrics is statistical science which is applied to biological data or to better say it's statistics applied to agriculture, biology, biomedical sciences and healthcare, forestry and other biotechnical sciences. Analysis of variance is calculation procedure by which we can study data of specific experiment, through estimation of deflection of individual mean values from average value of sample taken from some basic set. In this paper, biometric estimation of yield components of four different wheat varieties (Bologna, Falado, Maja and El Nino) was processed by one of the most important parametric statistical methods - analysis of variance.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:151:275890
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 on2022-10-04 09:17:58