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master's thesis
Usporedba modela laktacijskih krivulja u ovaca
Zagreb: University of Zagreb, Faculty of Agriculture, 2020. urn:nbn:hr:204:226059
Barković, Sara
University of Zagreb
Faculty of Agriculture
Animal Science

Institutional repository: Repository Faculty of Agriculture University of Zagreb

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Barković, S. (2020). Usporedba modela laktacijskih krivulja u ovaca (Master's thesis). Zagreb: University of Zagreb, Faculty of Agriculture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:204:226059

Barković, Sara. "Usporedba modela laktacijskih krivulja u ovaca." Master's thesis, University of Zagreb, Faculty of Agriculture, 2020. https://urn.nsk.hr/urn:nbn:hr:204:226059

Barković, Sara. "Usporedba modela laktacijskih krivulja u ovaca." Master's thesis, University of Zagreb, Faculty of Agriculture, 2020. https://urn.nsk.hr/urn:nbn:hr:204:226059

Barković, S. (2020). 'Usporedba modela laktacijskih krivulja u ovaca', Master's thesis, University of Zagreb, Faculty of Agriculture, accessed 28 November 2024, https://urn.nsk.hr/urn:nbn:hr:204:226059

Barković S. Usporedba modela laktacijskih krivulja u ovaca [Master's thesis]. Zagreb: University of Zagreb, Faculty of Agriculture; 2020 [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:204:226059

S. Barković, "Usporedba modela laktacijskih krivulja u ovaca", Master's thesis, University of Zagreb, Faculty of Agriculture, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:204:226059

Metadata
TitleUsporedba modela laktacijskih krivulja u ovaca
Title (english)Comparasion of lactation curve models in sheep
AuthorSara Barković
MentorAlen Džidić (mentor)
Committee memberAlen Džidić (predsjednik povjerenstva)
Committee memberMaja Ferenčaković (član povjerenstva)
Committee memberDragica Šalamon (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Agriculture
(Animal Science)
Zagreb
Defense date and country2020-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Abstract
Cilj ovog rada bio je utvrditi najbolji odgovarajući model laktacijskih krivulja za količinu mlijeka, sadržaj proteina i masti za istarsku i pašku ovcu. Podaci su prikupljeni od Ministarstva poljoprivrede za 2016., 2017. i 2018. godinu. Koristili smo pet laktacijskih modela u ovome radu: Wood, Wilmink, Ali-Schaeffer, Guo-Swalve te Kubični model. Za statističku analizu podataka korišten je statistički program SAS 9.4 u kojem je izračunati i koeficijent determinacije za mlijeko koji se kretao od 0,726 do 0,884, za razinu mliječne masti od 0,898 do 0,971, te za bjelančevine u mlijeku od 0,928 do 0,992. U radu je pokazano da su Wood, Ali-Schaeffer te Guo-Swalve modeli koji najbolje opisuju laktacijsku krivulju za istarsku i pašku ovcu, dok su druga dva (Wilmink i Kubični) neznatno slabiji.
Abstract (english)
The goal of this work was to determine the most suitable lactation curve model for milk, protein and fat from Istrian and Pag sheep. All data were acquired from the Ministry of Agriculture in the period from the year 2016 to 2018. Five different lactation models were use din this thesis: Wood, Wilmink, Ali-Schaeffer, Guo-Swalve and Cubic. Statistical program SAS 9.4 was used for data analysis where coefficient of determination was calculated for milk ranging from 0,726 to 0,884, milk fat content from 0,898 to 0,971 and milk protein content from 0,928 to 0,992. It was concluded that Wood, Ali-Schaeffer and Guo-Swalve models are the most efficient in describing lactation curve for Istrian and Pag sheep, while Wilmink and Cubic were a bit less efficient.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:204:226059
Study programmeTitle: Animal Genetics and Breeding
Study programme type: university
Study level: graduate
Academic / professional title: magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja (magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-12-09 12:13:45