Primjena metoda glavnih komponenti na muzne karakteristike pri strojnoj mužnji krava

master's thesis

• Title (english): Application of main component methods to milk characteristics during machine milking of cows
• Author: Petra Runjak
• Mentor: Alen Džidić (mentor)
• Committee member: Alen Džidić (predsjednik povjerenstva)
• Committee member: Dragica Šalamon (član povjerenstva)
• Committee member: Bruna Tariba (član povjerenstva)
• Granter: University of Zagreb; Faculty of Agriculture; (Department of Animal Science I); Zagreb
• Defense date and country: 2022-09-30, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Agronomy

Abstract

Glavni cilj ovog istraživanja je uporabom metoda glavnih komponenti definirati varijable učinkovitosti i pravilne priprema za strojnu mužnju na temelju varijabli koje se automatski pohranjuju tijekom procesa strojne mužnje. Prikupljeni su podaci sa dvadeset farmi iz Hrvatske i Italije koje su opremljene Afimilk elektroničnim mjeračima količine mlijeka, kao i menagement programom koji je pohranio podatke svake pojedine mužnje. Varijable koje su korištene u analizi su: prosječno trajanje mužnje, protoci mlijeka (0-15 s; 15-30 s; 30-60 s i 60-120 s), trajanje najmanjeg protoka mlijeka, učinkovitost mužnje, količina mlijeka na sat po muznom mjestu i bimodalnost. Analiza podataka se provodila u programu JMP 16 Pro. Primjenom metoda glavnih komponenti utvrđene su dvije glavne komponente PC1 koja predstavlja učinkovitost mužnje sa 50,3 % objašnjene ukupne varijacije i PC2 koja predstavlja učinkovitost izmuzišta sa 29,7 % objašnjene ukupne varijacije. Analizom glavnih komponenti je jednostavno utvrditi koje farme pokazuju najveću učinkovitost mužnje, a koje farme pokazuju najveću učinkovitost izmuzišta. Primjenom glavnih komponenti moguće je primjeniti na svako pojedino izmuzište te ga jednostavno analizirati na tjednoj, mjesečnoj ili godišnjoj bazi.

Abstract (english)

The main goal of this research is to define efficiency variables and proper preparations for machine milking based on variables that are automatically stored during the machine milking process using the method of principal components. Data was collected from twenty farms from Croatia and Italy that were equipped with Afimilk electronic milk quantity meters, as well as a management program that stored the data of each individual milking. The variables used in the analysis are: average duration of milking, milk flows (0-15 s; 15-30 s; 30-60 s and 60-120 s), duration of the smallest milk flow, milking efficiency, amount of milk per hour per milking place and bimodality. Data analysis was carried out in the JMP 16 Pro program. By applying the method of principal components, two main components PC1 representing milking efficiency with 50.3% of the explained total variation and PC2 representing milking parlor efficiency with 29.7% of the explained total variation were determined. Principal component analysis makes it easy to determine which farms show the highest milking efficiency and which farms show the highest milking parlor efficiency. By applying the main components, it is possible to apply i

• Keywords: strojna mužnja; učinkovitost mužnje; muzne karakteristike; metoda glavnih komponenti
• Keywords (english): Machine milking; milking efficiency; milking characteristics; principal components method
• Language: croatian
• URN:NBN: urn:nbn:hr:204:478008
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Access restricted to authenticated users
• Created on: 2022-11-25 13:46:53