Ćirić, Mihajlo

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  • Ćirić, Mihajlo (3)
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Author's Bibliography

Evaluation of combining ability and genetic components in sunflower

Jocković, Milan; Jocić, Siniša; Prodanović, Slaven; Cvejić, Sandra; Ćirić, Mihajlo; Čanak, Petar; Marjanović-Jeromela, Ana

(Društvo genetičara Srbije, Beograd, 2018)

TY  - JOUR
AU  - Jocković, Milan
AU  - Jocić, Siniša
AU  - Prodanović, Slaven
AU  - Cvejić, Sandra
AU  - Ćirić, Mihajlo
AU  - Čanak, Petar
AU  - Marjanović-Jeromela, Ana
PY  - 2018
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4768
AB  - Evaluation of genetic material involved in breeding proces is of great importance in order to choose the most valuable genotypes with ability to efficiently combine desirable genes in progeny. The objective of this study was to utilize diallel method in order to estimate mode of inheritance, heterosis effect, combining abilities and components of genetic variance for important properties in sunflower and to identify those genotypes that can make progress in sunflower breeding. Present research had been carried out during 2012 and 2013 growing seasons. Evaluation included 6 sunflower genotypes and their 15 combinations which were crossed according to incomplete diallel. For seed yield/plant dominance of better parent (d+) was expressed as a mode of inheritance, while regarding thousand seed weight the most common modes of inheritance were dominance (d+) and partial dominance of better parent (pd+). The most common mode of inheritance regarding oil content was superdominance (sd+). Empirical estimates of combining abilities of genotypes involved in breeding process is main startegy in evaluation of breeding value. Regarding seed yield/plant significant and positive heterosis effect (28.9%) was calculated in combination Harkovski x Rodnik (P3xP5), while the highest heterosis effect for oil content (12.8%) was determined in combination Harkovski x Amaian (P3xP6). Combining ability analysis indicated that both genetic components, additive and non-additive, were important in expression of investigated traits. Components of genetic variance indicated prevalence of dominant component (H) compared to additive (D) and higher concentration of dominant genes (u) compared to recessive (v), in all investigated traits.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika
T1  - Evaluation of combining ability and genetic components in sunflower
EP  - 198
IS  - 1
SP  - 187
VL  - 50
DO  - 10.2298/GENSR1801187J
ER  - 
@article{
author = "Jocković, Milan and Jocić, Siniša and Prodanović, Slaven and Cvejić, Sandra and Ćirić, Mihajlo and Čanak, Petar and Marjanović-Jeromela, Ana",
year = "2018",
abstract = "Evaluation of genetic material involved in breeding proces is of great importance in order to choose the most valuable genotypes with ability to efficiently combine desirable genes in progeny. The objective of this study was to utilize diallel method in order to estimate mode of inheritance, heterosis effect, combining abilities and components of genetic variance for important properties in sunflower and to identify those genotypes that can make progress in sunflower breeding. Present research had been carried out during 2012 and 2013 growing seasons. Evaluation included 6 sunflower genotypes and their 15 combinations which were crossed according to incomplete diallel. For seed yield/plant dominance of better parent (d+) was expressed as a mode of inheritance, while regarding thousand seed weight the most common modes of inheritance were dominance (d+) and partial dominance of better parent (pd+). The most common mode of inheritance regarding oil content was superdominance (sd+). Empirical estimates of combining abilities of genotypes involved in breeding process is main startegy in evaluation of breeding value. Regarding seed yield/plant significant and positive heterosis effect (28.9%) was calculated in combination Harkovski x Rodnik (P3xP5), while the highest heterosis effect for oil content (12.8%) was determined in combination Harkovski x Amaian (P3xP6). Combining ability analysis indicated that both genetic components, additive and non-additive, were important in expression of investigated traits. Components of genetic variance indicated prevalence of dominant component (H) compared to additive (D) and higher concentration of dominant genes (u) compared to recessive (v), in all investigated traits.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika",
title = "Evaluation of combining ability and genetic components in sunflower",
pages = "198-187",
number = "1",
volume = "50",
doi = "10.2298/GENSR1801187J"
}
Jocković, M., Jocić, S., Prodanović, S., Cvejić, S., Ćirić, M., Čanak, P.,& Marjanović-Jeromela, A.. (2018). Evaluation of combining ability and genetic components in sunflower. in Genetika
Društvo genetičara Srbije, Beograd., 50(1), 187-198.
https://doi.org/10.2298/GENSR1801187J
Jocković M, Jocić S, Prodanović S, Cvejić S, Ćirić M, Čanak P, Marjanović-Jeromela A. Evaluation of combining ability and genetic components in sunflower. in Genetika. 2018;50(1):187-198.
doi:10.2298/GENSR1801187J .
Jocković, Milan, Jocić, Siniša, Prodanović, Slaven, Cvejić, Sandra, Ćirić, Mihajlo, Čanak, Petar, Marjanović-Jeromela, Ana, "Evaluation of combining ability and genetic components in sunflower" in Genetika, 50, no. 1 (2018):187-198,
https://doi.org/10.2298/GENSR1801187J . .
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Assessment of sugar beet root yield by ammi analysis

Ćirić, Mihajlo; Curcić, Iyko; Mirosavljević, Milan; Marjanović-Jeromela, Ana; Jacimović, Goran; Prodanović, Slaven; Živanović, Tomislav

(Društvo genetičara Srbije, Beograd, 2017)

TY  - JOUR
AU  - Ćirić, Mihajlo
AU  - Curcić, Iyko
AU  - Mirosavljević, Milan
AU  - Marjanović-Jeromela, Ana
AU  - Jacimović, Goran
AU  - Prodanović, Slaven
AU  - Živanović, Tomislav
PY  - 2017
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4408
AB  - Sugar beet cultivars have different responses in various environments, such as different locations, years, mineral nutrition treatments or the combination of these factors, due to genotype x environment interaction. Additive main effect and multiplicative interaction (AMMI) is one of the most commonly used multivariate methods for analysis and visualization of genotype x environment interaction data. The main goals of the present study were to (i) investigate the application of AMMI method in the analysis of genotype x fertilizer interaction in sugar beet, (ii) to assess genotype x fertilizer interaction, and (iii) to identify sugar beet cultivars with the most stable response and high yield performance across different mineral nutrition treatments. The trial with eight sugar beet cultivars was conducted in two successive growing seasons at Rimski sancevi, Serbia. The different levels of nitrogen, phosphorous and potassium fertilizers (0, 50, 100 and 150 kg ha(-1)) and their combinations represented specific environments for testing genotype x fertilizer interaction. Results from the analysis of variance indicated that the fertilizer treatment, cultivars, and their interaction significantly affected root yield variation in both seasons. Results from our study suggest that AMMI model with two and three first IPCA axes were recommended in 2014 and 2015, respectively. According to AMMI 1 and AMMI 2 biplot, E14 and E15 were high yielding and among the most stable treatments in both years. Among high yielding genotypes in 2014, G4 and G8 stand out as the most stable, while in the following year G3 had the lowest interaction score. AMMI analysis enabled identification of specific associations between cultivars and different mineral nutrition treatments, which was important for adjustment of fertilizer management for each cultivar in order to achieve high root yield with decreased and more rational fertilizer doses.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika
T1  - Assessment of sugar beet root yield by ammi analysis
EP  - 675
IS  - 2
SP  - 663
VL  - 49
DO  - 10.2298/GENSR1702663C
ER  - 
@article{
author = "Ćirić, Mihajlo and Curcić, Iyko and Mirosavljević, Milan and Marjanović-Jeromela, Ana and Jacimović, Goran and Prodanović, Slaven and Živanović, Tomislav",
year = "2017",
abstract = "Sugar beet cultivars have different responses in various environments, such as different locations, years, mineral nutrition treatments or the combination of these factors, due to genotype x environment interaction. Additive main effect and multiplicative interaction (AMMI) is one of the most commonly used multivariate methods for analysis and visualization of genotype x environment interaction data. The main goals of the present study were to (i) investigate the application of AMMI method in the analysis of genotype x fertilizer interaction in sugar beet, (ii) to assess genotype x fertilizer interaction, and (iii) to identify sugar beet cultivars with the most stable response and high yield performance across different mineral nutrition treatments. The trial with eight sugar beet cultivars was conducted in two successive growing seasons at Rimski sancevi, Serbia. The different levels of nitrogen, phosphorous and potassium fertilizers (0, 50, 100 and 150 kg ha(-1)) and their combinations represented specific environments for testing genotype x fertilizer interaction. Results from the analysis of variance indicated that the fertilizer treatment, cultivars, and their interaction significantly affected root yield variation in both seasons. Results from our study suggest that AMMI model with two and three first IPCA axes were recommended in 2014 and 2015, respectively. According to AMMI 1 and AMMI 2 biplot, E14 and E15 were high yielding and among the most stable treatments in both years. Among high yielding genotypes in 2014, G4 and G8 stand out as the most stable, while in the following year G3 had the lowest interaction score. AMMI analysis enabled identification of specific associations between cultivars and different mineral nutrition treatments, which was important for adjustment of fertilizer management for each cultivar in order to achieve high root yield with decreased and more rational fertilizer doses.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika",
title = "Assessment of sugar beet root yield by ammi analysis",
pages = "675-663",
number = "2",
volume = "49",
doi = "10.2298/GENSR1702663C"
}
Ćirić, M., Curcić, I., Mirosavljević, M., Marjanović-Jeromela, A., Jacimović, G., Prodanović, S.,& Živanović, T.. (2017). Assessment of sugar beet root yield by ammi analysis. in Genetika
Društvo genetičara Srbije, Beograd., 49(2), 663-675.
https://doi.org/10.2298/GENSR1702663C
Ćirić M, Curcić I, Mirosavljević M, Marjanović-Jeromela A, Jacimović G, Prodanović S, Živanović T. Assessment of sugar beet root yield by ammi analysis. in Genetika. 2017;49(2):663-675.
doi:10.2298/GENSR1702663C .
Ćirić, Mihajlo, Curcić, Iyko, Mirosavljević, Milan, Marjanović-Jeromela, Ana, Jacimović, Goran, Prodanović, Slaven, Živanović, Tomislav, "Assessment of sugar beet root yield by ammi analysis" in Genetika, 49, no. 2 (2017):663-675,
https://doi.org/10.2298/GENSR1702663C . .
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Heritability of plant height and head diameter in sunflower (Helianthus annuus L.)

Jocković, Milan; Jocić, Siniša; Marinković, Radovan; Prodanović, Slaven; Čanak, Petar; Ćirić, Mihajlo; Mitrović, Petar

(Institut za ratarstvo i povrtarstvo, Novi Sad, 2013)

TY  - CONF
AU  - Jocković, Milan
AU  - Jocić, Siniša
AU  - Marinković, Radovan
AU  - Prodanović, Slaven
AU  - Čanak, Petar
AU  - Ćirić, Mihajlo
AU  - Mitrović, Petar
PY  - 2013
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3304
AB  - Purpose of this study was to estimate heritability, in broad and narrow sense, for sunflower plant height and head diameter in order to evaluate success of selection of these traits. Fifteen sunflower populations were evaluated. Heritability values, in broad and narrow sense, were estimated in order to find out the proportion of genetic and additive factors in phenotypic expression of these traits. Study showed that the broad sense heritability for plant height ranged from 6.73% to 72.53%, while in the narrow sense it ranged from 4.76% to 95.44%. The broad and narrow sense heritability, for head diameter, varied from 0.15% to 52.58% and from 26.27% to 94.61%. Differences in heritability estimates are attributable to different genetic BACKGROUND:  of studied populations.
AB  - Svrha ovog rada je bila da se proceni heritabilnost, u širem i užem smislu, za visinu biljke i prečnik glave kod suncokreta sa ciljem da se oceni uspeh selekcije ovih svojstava. Ispitivano je petnaest populacija suncokreta. Vrednosti heritabilnosti, u širem i užem smislu, su procenjene sa ciljem da se sazna udeo genetičkih i aditivnih faktora u fenotipskoj ekspresiji ovih svojstava. Studija je pokazala da se heritabilnost visine biljke, u širem smislu kretala od 6,73% do 72,53%, dok se u užem smislu kretala od 4,76% do 95,44%. Heritabilnost prečnika glave, u širem i užem smislu, varirala je od 0,15% do 52,58% i od 26,27% do 94,61%. Razlike u procenama heritabilnosti se mogu pripisati različitoj genetičkoj pozadini ispitivanih populacija.
PB  - Institut za ratarstvo i povrtarstvo, Novi Sad
C3  - Ratarstvo i povrtarstvo
T1  - Heritability of plant height and head diameter in sunflower (Helianthus annuus L.)
T1  - Heritabilnost visine biljke i prečnika glave kod suncokreta
EP  - 66
IS  - 2
SP  - 62
VL  - 50
DO  - 10.5937/ratpov50-3923
ER  - 
@conference{
author = "Jocković, Milan and Jocić, Siniša and Marinković, Radovan and Prodanović, Slaven and Čanak, Petar and Ćirić, Mihajlo and Mitrović, Petar",
year = "2013",
abstract = "Purpose of this study was to estimate heritability, in broad and narrow sense, for sunflower plant height and head diameter in order to evaluate success of selection of these traits. Fifteen sunflower populations were evaluated. Heritability values, in broad and narrow sense, were estimated in order to find out the proportion of genetic and additive factors in phenotypic expression of these traits. Study showed that the broad sense heritability for plant height ranged from 6.73% to 72.53%, while in the narrow sense it ranged from 4.76% to 95.44%. The broad and narrow sense heritability, for head diameter, varied from 0.15% to 52.58% and from 26.27% to 94.61%. Differences in heritability estimates are attributable to different genetic BACKGROUND:  of studied populations., Svrha ovog rada je bila da se proceni heritabilnost, u širem i užem smislu, za visinu biljke i prečnik glave kod suncokreta sa ciljem da se oceni uspeh selekcije ovih svojstava. Ispitivano je petnaest populacija suncokreta. Vrednosti heritabilnosti, u širem i užem smislu, su procenjene sa ciljem da se sazna udeo genetičkih i aditivnih faktora u fenotipskoj ekspresiji ovih svojstava. Studija je pokazala da se heritabilnost visine biljke, u širem smislu kretala od 6,73% do 72,53%, dok se u užem smislu kretala od 4,76% do 95,44%. Heritabilnost prečnika glave, u širem i užem smislu, varirala je od 0,15% do 52,58% i od 26,27% do 94,61%. Razlike u procenama heritabilnosti se mogu pripisati različitoj genetičkoj pozadini ispitivanih populacija.",
publisher = "Institut za ratarstvo i povrtarstvo, Novi Sad",
journal = "Ratarstvo i povrtarstvo",
title = "Heritability of plant height and head diameter in sunflower (Helianthus annuus L.), Heritabilnost visine biljke i prečnika glave kod suncokreta",
pages = "66-62",
number = "2",
volume = "50",
doi = "10.5937/ratpov50-3923"
}
Jocković, M., Jocić, S., Marinković, R., Prodanović, S., Čanak, P., Ćirić, M.,& Mitrović, P.. (2013). Heritability of plant height and head diameter in sunflower (Helianthus annuus L.). in Ratarstvo i povrtarstvo
Institut za ratarstvo i povrtarstvo, Novi Sad., 50(2), 62-66.
https://doi.org/10.5937/ratpov50-3923
Jocković M, Jocić S, Marinković R, Prodanović S, Čanak P, Ćirić M, Mitrović P. Heritability of plant height and head diameter in sunflower (Helianthus annuus L.). in Ratarstvo i povrtarstvo. 2013;50(2):62-66.
doi:10.5937/ratpov50-3923 .
Jocković, Milan, Jocić, Siniša, Marinković, Radovan, Prodanović, Slaven, Čanak, Petar, Ćirić, Mihajlo, Mitrović, Petar, "Heritability of plant height and head diameter in sunflower (Helianthus annuus L.)" in Ratarstvo i povrtarstvo, 50, no. 2 (2013):62-66,
https://doi.org/10.5937/ratpov50-3923 . .
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