Ivi Joudu

Prof. Ivi Joudu

Estonian University of Life Sciences, Institute of Veterinary Medicine and Animal Sciences, Chair of Food Science and Technology
+1
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 January 2020 in Molecules
Verified
Journal Article
Open access
PDF file
Sana Ben OthmanSana Ben Othman
Sana Ben Othman
IJIvi Joudu
Ivi Joudu
Rajeev BhatRajeev Bhat
Rajeev Bhat
Sustainable utilization of agri-food wastes and by-products for producing value-added products (for cosmetic, pharmaceutical or food industrial applications) provides an opportunity for earning additional income for the dependent industrial sector. Besides, effective valorisation of wastes/by-products can efficiently help in reducing environmental stress by decreasing unwarranted pollution. The major focus of this review is to provide comprehensive information on valorisation of agri-food wastes and by-products with focus laid on bioactive compounds and bioactivity. The review covers the bioactives identified from wastes and by-products of plants (fruits, exotic fruits, vegetables and seeds), animals (dairy and meat) and marine (fish, shellfish seaweeds) resources. Further, insights on the present status and future challenges of sustainably utilizing agri-food wastes/by-products for value addition will be highlighted.

1 July 2018 in Food Chemistry
Verified
Journal Article
Closed access
SYS. Yurchenko
S. Yurchenko
ASAndres Sats
Andres Sats
VTV. Tatar
V. Tatar
TKTanel Kaart
Tanel Kaart
HMH. Mootse
H. Mootse
IJIvi Joudu
Ivi Joudu

1 September 2008 in International Dairy Journal
Verified
Journal Article
Closed access
IJIvi Joudu
Ivi Joudu
MHMerike Henno
Merike Henno
TKTanel Kaart
Tanel Kaart
TPTõnu Püssa
Tõnu Püssa
OKOlav Kärt
Olav Kärt

1 February 2008 in International Dairy Journal
Verified
Journal Article
Closed access
MHMerike Henno
Merike Henno
MOMeelis Ots
Meelis Ots
IJIvi Joudu
Ivi Joudu
TKTanel Kaart
Tanel Kaart
OKO. Kärt
O. Kärt


1 November 2012 in Journal of Dairy Science
Verified
Journal Article
Closed access
MVM. Vallas
M. Vallas
TKTanel Kaart
Tanel Kaart
SVS. Värv
S. Värv
KPK. Pärna
K. Pärna
IJIvi Joudu
Ivi Joudu
EPE. Pärna
E. Pärna
The objective of this study was to estimate the effect of composite β-κ-CN genotypes on milk coagulation and composition traits, and on the additive genetic variation of these traits in Estonian Holstein dairy cattle. A total of 23,970 milk samples, repeated measurements from the first to third lactation from 2,859 Estonian Holstein cows from 78 herds across the country, were analyzed for milk yield, milk fat and protein percentages, somatic cell count, and milk coagulation properties (milk coagulation time and curd firmness). Each cow had at least 3 measurements per lactation. Two single-trait random regression animal models were fitted for the traits studied. The first model considered fixed effects of year-season of sampling and year-season of calving, calving age (nested within lactation), sample age (only for milk coagulation traits) and days in milk, and random herd, additive genetic, and permanent environmental effects. The animal and permanent environmental effects were modeled over the lactation period by using Legendre polynomials. The second model had the additional fixed β-κ-casein effect in the form of a third-order Legendre polynomial. The 2 most frequent β-κ-casein composite genotypes were A2A2AA and A1A2AA, both with prevalence greater than 20%. Percentages of the remaining 31 genotypes were less than 8%, including 20 genotypes with percentages less than 1%. The β-κ-casein genotype-specific lactation curves were significantly different for milk coagulation traits and milk protein percentage. The B variant of κ-casein showed a favorable effect on both milk coagulation traits, whereas the IB haplotype had an increasing effect on curd firmness and protein percentage. Inclusion of the β-κ-casein genotype effects in the model resulted in decreases in the mean additive genetic variations for milk coagulation time and curd firmness of 12.9 and 51.1%, respectively.