Radović, Čedomir

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  • Radović, Čedomir (3)
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Author's Bibliography

Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia

Zorc, Minja; Škorput, Dubravko; Gvozdanović, Kristina; Margeta, Polona; Karolyi, Danijel; Luković, Zoran; Salajpal, Krešimir; Savić, Radomir; Muñoz, Maria; Bovo, Samuele; Djurkin Kušec, Ivona; Radović, Čedomir

(BioMed Central Ltd, 2022)

TY  - JOUR
AU  - Zorc, Minja
AU  - Škorput, Dubravko
AU  - Gvozdanović, Kristina
AU  - Margeta, Polona
AU  - Karolyi, Danijel
AU  - Luković, Zoran
AU  - Salajpal, Krešimir
AU  - Savić, Radomir
AU  - Muñoz, Maria
AU  - Bovo, Samuele
AU  - Djurkin Kušec, Ivona
AU  - Radović, Čedomir
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6076
AB  - The importance of local breeds as genetic reservoirs of valuable genetic variation is well established. Pig breeding in Central and South-Eastern Europe has a long tradition that led to the formation of several local pig breeds. In the present study, genetic diversity parameters were analysed in six autochthonous pig breeds from Slovenia, Croatia and Serbia (Banija spotted, Black Slavonian, Turopolje pig, Swallow-bellied Mangalitsa, Moravka and Krskopolje pig). Animals from each of these breeds were genotyped using microsatellites and single nucleotide polymorphisms (SNPs). The results obtained with these two marker systems and those based on pedigree data were compared. In addition, we estimated inbreeding levels based on the distribution of runs of homozygosity (ROH) and identified genomic regions under selection pressure using ROH islands and the integrated haplotype score (iHS). Results: The lowest heterozygosity values calculated from microsatellite and SNP data were observed in the Turopolje pig. The observed heterozygosity was higher than the expected heterozygosity in the Black Slavonian, Moravka and Turopolje pig. Both types of markers allowed us to distinguish clusters of individuals belonging to each breed. The analysis of admixture between breeds revealed potential gene flow between the Mangalitsa and Moravka, and between the Mangalitsa and Black Slavonian, but no introgression events were detected in the Banija spotted and Turopolje pig. The distribution of ROH across the genome was not uniform. Analysis of the ROH islands identified genomic regions with an extremely high frequency of shared ROH within the Swallow-bellied Mangalitsa, which harboured genes associated with cholesterol biosynthesis, fatty acid metabolism and daily weight gain. The iHS approach to detect signatures of selection revealed candidate regions containing genes with potential roles in reproduction traits and disease resistance. Conclusions: Based on the estimation of population parameters obtained from three data sets, we showed the existence of relationships among the six pig breeds analysed here. Analysis of the distribution of ROH allowed us to estimate the level of inbreeding and the extent of homozygous regions in these breeds. The iHS analysis revealed genomic regions potentially associated with phenotypic traits and allowed the detection of genomic regions under selection pressure.
PB  - BioMed Central Ltd
T2  - Genetics Selection Evolution
T1  - Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia
IS  - 1
SP  - 30
VL  - 54
DO  - 10.1186/s12711-022-00718-6
ER  - 
@article{
author = "Zorc, Minja and Škorput, Dubravko and Gvozdanović, Kristina and Margeta, Polona and Karolyi, Danijel and Luković, Zoran and Salajpal, Krešimir and Savić, Radomir and Muñoz, Maria and Bovo, Samuele and Djurkin Kušec, Ivona and Radović, Čedomir",
year = "2022",
abstract = "The importance of local breeds as genetic reservoirs of valuable genetic variation is well established. Pig breeding in Central and South-Eastern Europe has a long tradition that led to the formation of several local pig breeds. In the present study, genetic diversity parameters were analysed in six autochthonous pig breeds from Slovenia, Croatia and Serbia (Banija spotted, Black Slavonian, Turopolje pig, Swallow-bellied Mangalitsa, Moravka and Krskopolje pig). Animals from each of these breeds were genotyped using microsatellites and single nucleotide polymorphisms (SNPs). The results obtained with these two marker systems and those based on pedigree data were compared. In addition, we estimated inbreeding levels based on the distribution of runs of homozygosity (ROH) and identified genomic regions under selection pressure using ROH islands and the integrated haplotype score (iHS). Results: The lowest heterozygosity values calculated from microsatellite and SNP data were observed in the Turopolje pig. The observed heterozygosity was higher than the expected heterozygosity in the Black Slavonian, Moravka and Turopolje pig. Both types of markers allowed us to distinguish clusters of individuals belonging to each breed. The analysis of admixture between breeds revealed potential gene flow between the Mangalitsa and Moravka, and between the Mangalitsa and Black Slavonian, but no introgression events were detected in the Banija spotted and Turopolje pig. The distribution of ROH across the genome was not uniform. Analysis of the ROH islands identified genomic regions with an extremely high frequency of shared ROH within the Swallow-bellied Mangalitsa, which harboured genes associated with cholesterol biosynthesis, fatty acid metabolism and daily weight gain. The iHS approach to detect signatures of selection revealed candidate regions containing genes with potential roles in reproduction traits and disease resistance. Conclusions: Based on the estimation of population parameters obtained from three data sets, we showed the existence of relationships among the six pig breeds analysed here. Analysis of the distribution of ROH allowed us to estimate the level of inbreeding and the extent of homozygous regions in these breeds. The iHS analysis revealed genomic regions potentially associated with phenotypic traits and allowed the detection of genomic regions under selection pressure.",
publisher = "BioMed Central Ltd",
journal = "Genetics Selection Evolution",
title = "Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia",
number = "1",
pages = "30",
volume = "54",
doi = "10.1186/s12711-022-00718-6"
}
Zorc, M., Škorput, D., Gvozdanović, K., Margeta, P., Karolyi, D., Luković, Z., Salajpal, K., Savić, R., Muñoz, M., Bovo, S., Djurkin Kušec, I.,& Radović, Č.. (2022). Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia. in Genetics Selection Evolution
BioMed Central Ltd., 54(1), 30.
https://doi.org/10.1186/s12711-022-00718-6
Zorc M, Škorput D, Gvozdanović K, Margeta P, Karolyi D, Luković Z, Salajpal K, Savić R, Muñoz M, Bovo S, Djurkin Kušec I, Radović Č. Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia. in Genetics Selection Evolution. 2022;54(1):30.
doi:10.1186/s12711-022-00718-6 .
Zorc, Minja, Škorput, Dubravko, Gvozdanović, Kristina, Margeta, Polona, Karolyi, Danijel, Luković, Zoran, Salajpal, Krešimir, Savić, Radomir, Muñoz, Maria, Bovo, Samuele, Djurkin Kušec, Ivona, Radović, Čedomir, "Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia" in Genetics Selection Evolution, 54, no. 1 (2022):30,
https://doi.org/10.1186/s12711-022-00718-6 . .
1
11
1
11

Case Study on Increasing Breeding Value Estimation Reliability of Reproductive Traits in Serbian Highly Prolific Large White and Landrace Sows

Stojiljković, Nenad; Radojković, Dragan; Luković, Zoran; Gogić, Marija; Radović, Čedomir; Popovac, Mladen; Škorput, Dubravko

(2022)

TY  - JOUR
AU  - Stojiljković, Nenad
AU  - Radojković, Dragan
AU  - Luković, Zoran
AU  - Gogić, Marija
AU  - Radović, Čedomir
AU  - Popovac, Mladen
AU  - Škorput, Dubravko
PY  - 2022
UR  - https://www.mdpi.com/2076-2615/12/19/2688
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6201
AB  - This study investigated the influence of the degree of connectedness on the reliability of the estimated breeding values (EBVs). The focal trait in the study was the number of piglets born alive (NBA) from sows of the highly prolific Large White and Landrace sows. An analysis included total of 58,043 farrowing’s during the 2008–2020 period. BLUP procedure was used to estimate the breeding values for NBA for the three herds separately and after merging all three herds into one herd. The model for EBV estimation included the following fixed factors: parity, genotype, seasons, litter sire, herds, sow age at farrowing, weaning-conception interval, length of previous lactation, and the following random effects: common litter environment, permanent litter environment, and direct additive genetic effect of animal. Heritability values for NBA ranged from 0.048 to 0.097, depending on the data included in the analysis. The connectedness between herds was analysed using the connectedness rating (CR) and the gene flow (GF) methods. CR among the observed herds ranged from 0.245 to 0.994%, depending on the data included. The exchange of genetic material between all three herds was determined using GF method. The high degree of connectedness determined by the CR and GF method had a strong effect on EBV reliability. The average EBV reliability ranged from 0.520 to 0.867, depending on the data included. The increase in average reliability was observed in both cases when the data were added, both in the analysis of average reliability for purebred animals and when crossbreeds were added, where an increase in this value was also observed. The increase in average EBV reliability is a consequence of the greater amount of information included in the joint evaluation. In conclusion, we believe that our research will improve EBV reliability and help in further selection work in the Republic of Serbia.
T2  - Animals
T2  - Animals
T1  - Case Study on Increasing Breeding Value Estimation Reliability of Reproductive Traits in Serbian Highly Prolific Large White and Landrace Sows
IS  - 19
SP  - 2688
VL  - 12
DO  - 10.3390/ani12192688
ER  - 
@article{
author = "Stojiljković, Nenad and Radojković, Dragan and Luković, Zoran and Gogić, Marija and Radović, Čedomir and Popovac, Mladen and Škorput, Dubravko",
year = "2022",
abstract = "This study investigated the influence of the degree of connectedness on the reliability of the estimated breeding values (EBVs). The focal trait in the study was the number of piglets born alive (NBA) from sows of the highly prolific Large White and Landrace sows. An analysis included total of 58,043 farrowing’s during the 2008–2020 period. BLUP procedure was used to estimate the breeding values for NBA for the three herds separately and after merging all three herds into one herd. The model for EBV estimation included the following fixed factors: parity, genotype, seasons, litter sire, herds, sow age at farrowing, weaning-conception interval, length of previous lactation, and the following random effects: common litter environment, permanent litter environment, and direct additive genetic effect of animal. Heritability values for NBA ranged from 0.048 to 0.097, depending on the data included in the analysis. The connectedness between herds was analysed using the connectedness rating (CR) and the gene flow (GF) methods. CR among the observed herds ranged from 0.245 to 0.994%, depending on the data included. The exchange of genetic material between all three herds was determined using GF method. The high degree of connectedness determined by the CR and GF method had a strong effect on EBV reliability. The average EBV reliability ranged from 0.520 to 0.867, depending on the data included. The increase in average reliability was observed in both cases when the data were added, both in the analysis of average reliability for purebred animals and when crossbreeds were added, where an increase in this value was also observed. The increase in average EBV reliability is a consequence of the greater amount of information included in the joint evaluation. In conclusion, we believe that our research will improve EBV reliability and help in further selection work in the Republic of Serbia.",
journal = "Animals, Animals",
title = "Case Study on Increasing Breeding Value Estimation Reliability of Reproductive Traits in Serbian Highly Prolific Large White and Landrace Sows",
number = "19",
pages = "2688",
volume = "12",
doi = "10.3390/ani12192688"
}
Stojiljković, N., Radojković, D., Luković, Z., Gogić, M., Radović, Č., Popovac, M.,& Škorput, D.. (2022). Case Study on Increasing Breeding Value Estimation Reliability of Reproductive Traits in Serbian Highly Prolific Large White and Landrace Sows. in Animals, 12(19), 2688.
https://doi.org/10.3390/ani12192688
Stojiljković N, Radojković D, Luković Z, Gogić M, Radović Č, Popovac M, Škorput D. Case Study on Increasing Breeding Value Estimation Reliability of Reproductive Traits in Serbian Highly Prolific Large White and Landrace Sows. in Animals. 2022;12(19):2688.
doi:10.3390/ani12192688 .
Stojiljković, Nenad, Radojković, Dragan, Luković, Zoran, Gogić, Marija, Radović, Čedomir, Popovac, Mladen, Škorput, Dubravko, "Case Study on Increasing Breeding Value Estimation Reliability of Reproductive Traits in Serbian Highly Prolific Large White and Landrace Sows" in Animals, 12, no. 19 (2022):2688,
https://doi.org/10.3390/ani12192688 . .
1

The Share of Variance Components and Correlations Between Sow Production Traits in Different Treatments of the Litter Size (The Repeatability and Multi-Trait Models)

Radojković, Dragan; Savić, Radomir; Popovac, Mladen; Radović, Čedomir; Gogić, Marija

(Univerzitet u Novom Sadu - Poljoprivredni fakultet, Novi Sad i Naučni institut za ratarstvo i povrtarstvo, Novi Sad, 2018)

TY  - JOUR
AU  - Radojković, Dragan
AU  - Savić, Radomir
AU  - Popovac, Mladen
AU  - Radović, Čedomir
AU  - Gogić, Marija
PY  - 2018
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4809
AB  - The share of variance components and correlations between the most important sow production traits (namely duration of fattening - DF, backfat thickness - BF and number of liveborn piglets - NBA) included in the pig breeding selection programme of the Republic of Serbia were estimated in this paper. The litter size at repeated farrowings (NBA1,..., NBA6) was treated as a separate trait (the multi-trait model), whereas the litter size at birth was treated as a trait repeated a number of times (the repeatability model)). The estimation of dispersion parameters was performed using the Restricted Maximum Likelihood (REML) method. The heritability of DF accounted for 23.5%, i.e. 23.3% depending on the model used, whereas BF accounted for 40.4% in both cases. The heritability of the litter size in consecutive farrowings (the multi-trait model) were in intervals ranging between 0.104 (NBA1) and 0.136 (NBA5). The heritability of NBA in the repeatability treatment accounted for 0.106, whereas the common litter environment and the permanent sow influence contributed to the total variability with 1.1% and 5.6%, respectively. Genetic correlations between the traits examined were not determined, with the exception of consecutive farrowings in the multi-trait treatment of the litter size. The genetic correlations recorded in this case proved positive and complete, with the exception of the correlation between the first and subsequent farrowings (farrowings 3 to 6) and the correlation between the second and the last farrowings (farrowings 5 and 6), which proved very strong.
PB  - Univerzitet u Novom Sadu - Poljoprivredni fakultet, Novi Sad i Naučni institut za ratarstvo i povrtarstvo, Novi Sad
T2  - Contemporary Agriculture
T1  - The Share of Variance Components and Correlations Between Sow Production Traits in Different Treatments of the Litter Size (The Repeatability and Multi-Trait Models)
EP  - 214
IS  - 3-4
SP  - 207
VL  - 67
DO  - 10.1515/contagri-2018-0030
ER  - 
@article{
author = "Radojković, Dragan and Savić, Radomir and Popovac, Mladen and Radović, Čedomir and Gogić, Marija",
year = "2018",
abstract = "The share of variance components and correlations between the most important sow production traits (namely duration of fattening - DF, backfat thickness - BF and number of liveborn piglets - NBA) included in the pig breeding selection programme of the Republic of Serbia were estimated in this paper. The litter size at repeated farrowings (NBA1,..., NBA6) was treated as a separate trait (the multi-trait model), whereas the litter size at birth was treated as a trait repeated a number of times (the repeatability model)). The estimation of dispersion parameters was performed using the Restricted Maximum Likelihood (REML) method. The heritability of DF accounted for 23.5%, i.e. 23.3% depending on the model used, whereas BF accounted for 40.4% in both cases. The heritability of the litter size in consecutive farrowings (the multi-trait model) were in intervals ranging between 0.104 (NBA1) and 0.136 (NBA5). The heritability of NBA in the repeatability treatment accounted for 0.106, whereas the common litter environment and the permanent sow influence contributed to the total variability with 1.1% and 5.6%, respectively. Genetic correlations between the traits examined were not determined, with the exception of consecutive farrowings in the multi-trait treatment of the litter size. The genetic correlations recorded in this case proved positive and complete, with the exception of the correlation between the first and subsequent farrowings (farrowings 3 to 6) and the correlation between the second and the last farrowings (farrowings 5 and 6), which proved very strong.",
publisher = "Univerzitet u Novom Sadu - Poljoprivredni fakultet, Novi Sad i Naučni institut za ratarstvo i povrtarstvo, Novi Sad",
journal = "Contemporary Agriculture",
title = "The Share of Variance Components and Correlations Between Sow Production Traits in Different Treatments of the Litter Size (The Repeatability and Multi-Trait Models)",
pages = "214-207",
number = "3-4",
volume = "67",
doi = "10.1515/contagri-2018-0030"
}
Radojković, D., Savić, R., Popovac, M., Radović, Č.,& Gogić, M.. (2018). The Share of Variance Components and Correlations Between Sow Production Traits in Different Treatments of the Litter Size (The Repeatability and Multi-Trait Models). in Contemporary Agriculture
Univerzitet u Novom Sadu - Poljoprivredni fakultet, Novi Sad i Naučni institut za ratarstvo i povrtarstvo, Novi Sad., 67(3-4), 207-214.
https://doi.org/10.1515/contagri-2018-0030
Radojković D, Savić R, Popovac M, Radović Č, Gogić M. The Share of Variance Components and Correlations Between Sow Production Traits in Different Treatments of the Litter Size (The Repeatability and Multi-Trait Models). in Contemporary Agriculture. 2018;67(3-4):207-214.
doi:10.1515/contagri-2018-0030 .
Radojković, Dragan, Savić, Radomir, Popovac, Mladen, Radović, Čedomir, Gogić, Marija, "The Share of Variance Components and Correlations Between Sow Production Traits in Different Treatments of the Litter Size (The Repeatability and Multi-Trait Models)" in Contemporary Agriculture, 67, no. 3-4 (2018):207-214,
https://doi.org/10.1515/contagri-2018-0030 . .
1