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master's thesis
Primjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechical Sciences Osijek, 2018. urn:nbn:hr:151:044996
Štula, Uroš
Josip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
DEPARTMENT FOR CHEMISTRY, BIOLOGY AND PHYSICS OF SOIL

Cite this document

Štula, U. (2018). Primjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:151:044996

Štula, Uroš. "Primjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:151:044996

Štula, Uroš. "Primjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:151:044996

Štula, U. (2018). 'Primjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, accessed 01 April 2023, https://urn.nsk.hr/urn:nbn:hr:151:044996

Štula U. Primjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek; 2018 [cited 2023 April 01] Available at: https://urn.nsk.hr/urn:nbn:hr:151:044996

U. Štula, "Primjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji", 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:151:044996

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TitlePrimjena ALRxp računalnog modela za izračun gnojidbenih preporuka u biljnoj proizvodnji
Title (english)Application of ALRxp computer model for fertilizer recommendations calculation in plant production
AuthorUroš Štula
MentorBoris Đurđević (mentor)
Committee memberIrena Jug (predsjednik povjerenstva)
Committee memberVesna Vukadinović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(DEPARTMENT FOR CHEMISTRY, BIOLOGY AND PHYSICS OF SOIL)
Osijek
Defense date and country2018-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Agricultural Engineering and Technology
Abstract
U današnje vrijeme trendovi proizvodnje hrane sve više rastu, a dodatna opterećenja za poljoprivrednu proizvodnju predstavlja i kontinuirani rast stanovništva uz sve izraţenije klimatske promjene. Trenutno se pokušava poljoprivredna proizvodnja prilagoditi novonastaloj situaciji, a jedan od načina je primjenjivati gnojiva u dozama koje neće negativno utjecati na okoliš i prinos usjeva. Istraţivanje se temeljilo na uzorkovanju i kemijskoj analizi tla, a dobiveni podaci korišteni su za izračun optimalne gnojidbe uz pomoć ALRxp modela za pet ratarskih usjeva. Najveće potrebe za NPK gnojivom (7:20:30) imala je šećerna repa u iznosu od 476,8 kg ha1,a najmanje potrebe je imala pšenica sa 253,7 kg ha-1. Prema preporuci kukuruz je imao najveću prosječnu preporučenu dozu dušikom u iznosu od 132,9 kg ha-1, a najmanju je imala soja sa 62 kg N ha-1. Ovakav način izračuna gnojidbenih preporuka temeljen na stvarnim podacima uvelike moţe pomoći poljoprivrednim proizvoĎačima prilikom planiranja proizvodnje kao i kod odabira optimalnog gnojiva za odabrani usjev.
Abstract (english)
Nowadays food production trends are growing and additional load for agricultural production presents a continuous growth of population with all the more pronounced climate change. Currently agricultural production is attempting to adapt to a new situation and one way is to apply fertilizer in doses which will not have a negative impact at environment and crops yield. The research was based on sampling and chemical analysis of soil, and obtained data was used for calculation optimal fertilization with ALRxp model for five crops. The greatest need for NPK fertilizer (7:20:30) has sugar beet in the amount of 476.8 kg ha-1, and the smallest need has wheat with 253.7 kg ha-1. According to the recommendation maize has the highest recommended dose of nitrogen in the amount of 132.9 kg ha-1, and the smallest has soybean with 62 kg N ha-1. This way of calculating fertilization recommendations based on real data can help agricultural producers when planning production as well with selection optimal fertilizer for selected crops.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:151:044996
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
RepositoryRepository of the Faculty of Agrobiotechnical Sciences Osijek
Created on2018-11-22 11:55:32