Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Mirjana Baban is active.

Publication


Featured researches published by Mirjana Baban.


Journal of Animal Science | 2010

Modeling variance structure of body shape traits of Lipizzan horses

Miroslav Kapš; Ino Curik; Mirjana Baban

Heterogeneity of variance of growth traits over age is a common issue in estimating genetic parameters and is addressed in this study by selecting appropriate variance structure models for additive genetic and environmental variances. Modeling and partitioning those variances connected with analyzing small data sets were demonstrated on Lipizzan horses. The following traits were analyzed: withers height, chest girth, and cannon bone circumference. The measurements were taken at birth, and at approximately 6, 12, 24, and 36 mo of age of 660 Lipizzan horses born in Croatia between 1948 and 2000. The corresponding pedigree file consisted of 1,458 horses. Sex, age of dam, and stud-year-season interaction were considered fixed effects; additive genetic and permanent environment effects were defined as random. Linear adjustments of age at measuring were done within measuring groups. Maternal effects were included only for measurements taken at birth and at 6 mo. Additive genetic variance structures were modeled by using uniform structures or structures based on polynomial random regression. Environmental variance structures were modeled by using one of the following models: unstructured, exponential, Gaussian, or combinations of identity or diagonal with structures based on polynomial random regression. The parameters were estimated by using REML. Comparison and fits of the models were assessed by using Akaike and Bayesian information criteria, and by checking graphically the adequacy of the shape of the overall (phenotypic) and component (additive genetic and environmental) variance functions. The best overall fit was obtained from models with unstructured error variance. Compared with the model with uniform additive genetic variance, models with structures based on random regression only slightly improved overall fit. Exponential and Gaussian models were generally not suitable because they do not accommodate adequately heterogeneity of variance. Using the unstructured error variance model, the heritability estimates ranged from 0.17 to 0.33 for withers height, 0.07 to 0.27 for chest girth, and 0.14 to 0.30 for cannon bone circumference. This study demonstrated the necessity of accounting for heterogeneity of variances and covariances for body shape traits in Lipizzan horses, and possible difficulties in estimating variance and covariance components when applying more complicated structure models on a small data set. The choice of models depends not only on overall fit but also on the fit of genetic and environmental components.


Italian Journal of Animal Science | 2009

Influence of housing systems on stillbirth and mortality rate in preweaning pigs farrowed by different gilt breeds

Boris Antunović; Mirjana Baban; Vesna Dobranić; Vladimir Margeta; Pero Mijić; Bela Njari; Željko Pavičić; Vedran Poljak; Zvonimir Steiner; Wiebke Wellbrock

Abstract The aim of this paper was to investigate the influence of housing systems on stillbirth and mortality rate in preweaning pigs farrowed by different gilt breeds. The investigation included first farrowings of 225 Large White (LW) gilts, 297 Swedish Landrace (SL) gilts and 260 crossbreed gilts (LWxSL) in the period of five years. Despite of positive influence of straw through decreased number of stillborn pigs, especially in LW gilts, in further process of production until weaning, less appropriate microclimatic conditions developed in farrowing houses with straw, especially if accompanied with poor ventilation, can result with higher number of perished pigs and lower number of weaned pigs. Most sensible to unsuitable microclimatic conditions in straw bedded farrowing houses, according to the number of perished pigs before weaning, were the pigs from SL gilts, while the pigs from crossbreed gilts LWxSL were the most resistant. These results suggest that adding straw requires special attention on influence of such production on microclimate conditions in pigs’ biozone in order to maintain its initial benefits in the time of farrowing through the whole preweaning period, especially in pure breeds of gilts.


Mljekarstvo | 2015

The overall and fat composition of milk of various species

Vesna Gantner; Pero Mijić; Mirjana Baban; Zoran Škrtić; Alka Turalija


Czech journal of animal science = Živočišná výroba | 1998

Estimation of heritability of Lipizzaner horses for morphological traits by means of various methods

Mirjana Baban; Tomo Rastija; Pavo Caput; Ivan Knežević; Nikola Stipić


Stočarstvo | 2006

Sistematizacija uzgoja izvorne pasmine konja hrvatski posavac

Mato Čačić; Slaven Kolarić; Nidal Korabi; Mirna Mlađenović; Domagoj Tadić; Jelena Pavan; Mirjana Baban; Ante Ivanković


12th International Symposium Animal Science Days | 2004

A comparasion and development of morphometric characteristic of stallions and mares on the Lipizzaner stud of Đakovo

Tomo Rastija; Mirjana Baban; Zvonko Antunović; Ivica Mandić


Mljekarstvo | 2014

Morphological and milkability breed differences of dairy cows.

Tina Bobić; Pero Mijić; Goran Vučković; Maja Gregić; Mirjana Baban; Vesna Gantner


Biotechnology in Animal Husbandry | 2007

HORSE BREEDING IN THE REPUBLIC OF CROATIA AND POSSIBILITIES OF ITS DEVELOPMENT

Mirjana Baban; Mato Čačić; Nidal Korabi; Tomo Rastija; Pero Mijić


Stočarstvo : Časopis za unapređenje stočarstva | 2014

Reproductive parameters of Thoroughbred mares in Croatia.

Nidal Korabi; Mirjana Baban; Boris Antunović; Željko Pavičić; Mario Ostović; Domagoj Tadić; Damir Jakšić; Nikica Prvanović Babić


Biotechnology in Animal Husbandry | 2011

ANALYSIS OF HORSE BREEDING AND EQUESTRIAN SPORTS IN THE REPUBLIC OF CROATIA

Mirjana Baban; Maja Sakač; Nidal Korabi; Boris Antunović; P. Mijić; Ante Ivanković; J. Ramljak

Collaboration


Dive into the Mirjana Baban's collaboration.

Top Co-Authors

Avatar

Pero Mijić

Josip Juraj Strossmayer University of Osijek

View shared research outputs
Top Co-Authors

Avatar

Tomo Rastija

Josip Juraj Strossmayer University of Osijek

View shared research outputs
Top Co-Authors

Avatar

Tina Bobić

Josip Juraj Strossmayer University of Osijek

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Maja Gregić

Josip Juraj Strossmayer University of Osijek

View shared research outputs
Top Co-Authors

Avatar

Zvonko Antunović

Josip Juraj Strossmayer University of Osijek

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Boris Antunović

United States Department of Agriculture

View shared research outputs
Top Co-Authors

Avatar

Vesna Gantner

Josip Juraj Strossmayer University of Osijek

View shared research outputs
Top Co-Authors

Avatar

Ivan Knežević

Josip Juraj Strossmayer University of Osijek

View shared research outputs
Researchain Logo
Decentralizing Knowledge