Naslov
Multivariate Analysis of Storage Performance Traits on Satsuma Mandarin Following Hot Water Dips

Autori
Pecina, Marija ; Jemrić, Tomislav ; Britvec, Mihaela

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Proceedings of XXIInd International Biometric Conference in parallel with Australian Statistical Conference 2004 / Basford, Kaye ; Bartlett, Neville - Cairns : IBC/ASC 2004, 2004, 484-484

Skup
XXIInd International Biometric Conference (IBC) in parallel with Australian Statistical Conference 2004

Mjesto i datum
Cairns, Australija, 11.07.2004. - 16.07.2004

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
multivariate analysis; chilling injuries; storage performance; Satsuma mandarin

Sažetak
Satsuma mandarin (Citrus unshiu Marc. cv. 'Unshiu') is the major citrus crop in Croatia. Low storage performance and appearance of chilling injuries during storage is the main limiting factor for longer fruit consumption. Hot water dipping for three minutes can improve storage performance. In the investigation fruits were dipped into hot water (HWD) at the temperatures of 48 and 52&ordm ; C, and control (untreated). In continuation the fruits were stored for 2 months at the temperature of 1&ordm ; C, and 7 days at 20&ordm ; C simulating shelf life. In order to investigate the response of mandarin fruit to HWD pre-treatment sets of quantitative data were collected: colour measurements were taken to describe changes in peel colour during simulated shelf life, fruit weight loss variables, and internal quality characteristics. Multivariate statistical techniques were used to analyse 20-dimensional space. Principal component analysis was carried out to reduce the dimensionality of the structure. Canonical discriminant analysis was used to find linear combinations of quantitative variables that provide maximal separations between pre-treatments. Canonical correlation was applied to analyse the relationship between the variables taken at the beginning and those taken at the end of simulated shelf life. Univariate analyses of variance of all variables proved the HWD 48&ordm ; C as the best pre-treatment for most of the investigated variables.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)

POVEZANOST RADA