German Academic Exchange Service (DAAD) German-Serbian bilateral cooperation project, 451-03-01732/2017-09/3

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German Academic Exchange Service (DAAD) German-Serbian bilateral cooperation project, 451-03-01732/2017-09/3

Authors

Publications

Selection of sunflower hybrids based on stability across environments

Cvejić, Sandra; Jocić, Siniša; Mladenov, Velimir; Banjac, Borislav; Radeka, Ilija; Jocković, Milan; Marjanović-Jeromela, Ana; Miladinović, Dragana; Miklič, Vladimir

(Društvo genetičara Srbije, Beograd, 2019)

TY  - JOUR
AU  - Cvejić, Sandra
AU  - Jocić, Siniša
AU  - Mladenov, Velimir
AU  - Banjac, Borislav
AU  - Radeka, Ilija
AU  - Jocković, Milan
AU  - Marjanović-Jeromela, Ana
AU  - Miladinović, Dragana
AU  - Miklič, Vladimir
PY  - 2019
UR  - http://fiver.ifvcns.rs/handle/123456789/1918
AB  - Bearing in mind that the sunflower production in Serbia is extensive, it is very important to select a hybrid that will achieve stable and high seed and oil yields in different enviromental conditions. The objective of the study was to identify the most stable sunflower hybrids for seed and oil yield using AMMI model analysis. Nine newly developed early, medium early and medium late hybrids were tested. Hybrids were grown in different locations across Northern Serbia during two growing seasons (2013-2014). Selected locations are geographically close, but environmentally different in terms of soil, rainfalls and temperature, thus creating a specific microclimate conditions for sunflower growing. Pooled analysis of variance for seed and oil yield showed that the main effects of hybrids, environments and their interaction were highly significant. The agro-ecological environment E3 is most favourable for achieving high seed and oil yields, but E9 was the most stable. According to results of AMMI model, the most stable hybrids for the seed and oil yield, i.e. the lowest interaction with the enviroment, were NS2, NS8 and NS9. The obtained results indicate that hybrids can be recommended for production in different environments in Serbia; NS2 hybrid as early-growing, stable for oil yield; NS8 and NS9, medium-late hybrids, high productivity potential and suitable for all production systems.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika-Belgrade
T1  - Selection of sunflower hybrids based on stability across environments
EP  - 92
IS  - 1
SP  - 81
VL  - 51
DO  - 10.2298/GENSR1901081C
ER  - 
@article{
author = "Cvejić, Sandra and Jocić, Siniša and Mladenov, Velimir and Banjac, Borislav and Radeka, Ilija and Jocković, Milan and Marjanović-Jeromela, Ana and Miladinović, Dragana and Miklič, Vladimir",
year = "2019",
abstract = "Bearing in mind that the sunflower production in Serbia is extensive, it is very important to select a hybrid that will achieve stable and high seed and oil yields in different enviromental conditions. The objective of the study was to identify the most stable sunflower hybrids for seed and oil yield using AMMI model analysis. Nine newly developed early, medium early and medium late hybrids were tested. Hybrids were grown in different locations across Northern Serbia during two growing seasons (2013-2014). Selected locations are geographically close, but environmentally different in terms of soil, rainfalls and temperature, thus creating a specific microclimate conditions for sunflower growing. Pooled analysis of variance for seed and oil yield showed that the main effects of hybrids, environments and their interaction were highly significant. The agro-ecological environment E3 is most favourable for achieving high seed and oil yields, but E9 was the most stable. According to results of AMMI model, the most stable hybrids for the seed and oil yield, i.e. the lowest interaction with the enviroment, were NS2, NS8 and NS9. The obtained results indicate that hybrids can be recommended for production in different environments in Serbia; NS2 hybrid as early-growing, stable for oil yield; NS8 and NS9, medium-late hybrids, high productivity potential and suitable for all production systems.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika-Belgrade",
title = "Selection of sunflower hybrids based on stability across environments",
pages = "92-81",
number = "1",
volume = "51",
doi = "10.2298/GENSR1901081C"
}
Cvejić, S., Jocić, S., Mladenov, V., Banjac, B., Radeka, I., Jocković, M., Marjanović-Jeromela, A., Miladinović, D.,& Miklič, V.. (2019). Selection of sunflower hybrids based on stability across environments. in Genetika-Belgrade
Društvo genetičara Srbije, Beograd., 51(1), 81-92.
https://doi.org/10.2298/GENSR1901081C
Cvejić S, Jocić S, Mladenov V, Banjac B, Radeka I, Jocković M, Marjanović-Jeromela A, Miladinović D, Miklič V. Selection of sunflower hybrids based on stability across environments. in Genetika-Belgrade. 2019;51(1):81-92.
doi:10.2298/GENSR1901081C .
Cvejić, Sandra, Jocić, Siniša, Mladenov, Velimir, Banjac, Borislav, Radeka, Ilija, Jocković, Milan, Marjanović-Jeromela, Ana, Miladinović, Dragana, Miklič, Vladimir, "Selection of sunflower hybrids based on stability across environments" in Genetika-Belgrade, 51, no. 1 (2019):81-92,
https://doi.org/10.2298/GENSR1901081C . .
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Genetic advance and regression analysis in sunflower

Jocković, Milan; Jocić, Siniša; Prodanović, Slaven; Cvejić, Sandra; Jocković, Jelena; Radanović, Aleksandra; Jocković, Bojan

(Društvo genetičara Srbije, Beograd, 2019)

TY  - JOUR
AU  - Jocković, Milan
AU  - Jocić, Siniša
AU  - Prodanović, Slaven
AU  - Cvejić, Sandra
AU  - Jocković, Jelena
AU  - Radanović, Aleksandra
AU  - Jocković, Bojan
PY  - 2019
UR  - http://fiver.ifvcns.rs/handle/123456789/1890
AB  - The knowledge about the magnitude and nature of variability that is present in a breeding population is an important prerequisite for designing efficient breeding programme in order to improve the yield potential of genotypes. The objective of this research was to evaluate heritability and genetic advance of important quantitative traits in new crosses of sunflower as well as to evaluate ratio of dominant and recessive genes in parental genotypes. The plant material selected for this research consisted of 6 sunflower genotypes, which according to literary data possess important characteristics for the production of sunflower. According to presented results there is significant variability of evaluated quantitative traits. Phenotypic variance was higher than genotypic demonstrating strong environment effect in expression of traits. The broad sense heritability was found very high for plant height (83.25%), high for 1000 seed weight (69.33%), moderate for seed yield/plant (46.53%) and head diameter (56.89%), while low for oil content (29.35%). Genetic advance expressed as a percentage of the mean ranged between 2.23% and 19.96%. Placement of array points displayed that the highest frequency of dominant genes for seed yield/plant, 1000 seed weight and head diameter was found in parental genotype Rodnik. Position of expected line of regression pointed over dominance in inheritance for seed yield/plant, oil content and head diameter, while for 1000 seed weight and plant height additive gene action played role in inheritance suggesting that selection in early generations for these traits will be effective. By testing the coefficients of regression interallelic interaction was not determined.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika-Belgrade
T1  - Genetic advance and regression analysis in sunflower
EP  - 1087
IS  - 3
SP  - 1075
VL  - 51
DO  - 10.2298/GENSR1903075J
ER  - 
@article{
author = "Jocković, Milan and Jocić, Siniša and Prodanović, Slaven and Cvejić, Sandra and Jocković, Jelena and Radanović, Aleksandra and Jocković, Bojan",
year = "2019",
abstract = "The knowledge about the magnitude and nature of variability that is present in a breeding population is an important prerequisite for designing efficient breeding programme in order to improve the yield potential of genotypes. The objective of this research was to evaluate heritability and genetic advance of important quantitative traits in new crosses of sunflower as well as to evaluate ratio of dominant and recessive genes in parental genotypes. The plant material selected for this research consisted of 6 sunflower genotypes, which according to literary data possess important characteristics for the production of sunflower. According to presented results there is significant variability of evaluated quantitative traits. Phenotypic variance was higher than genotypic demonstrating strong environment effect in expression of traits. The broad sense heritability was found very high for plant height (83.25%), high for 1000 seed weight (69.33%), moderate for seed yield/plant (46.53%) and head diameter (56.89%), while low for oil content (29.35%). Genetic advance expressed as a percentage of the mean ranged between 2.23% and 19.96%. Placement of array points displayed that the highest frequency of dominant genes for seed yield/plant, 1000 seed weight and head diameter was found in parental genotype Rodnik. Position of expected line of regression pointed over dominance in inheritance for seed yield/plant, oil content and head diameter, while for 1000 seed weight and plant height additive gene action played role in inheritance suggesting that selection in early generations for these traits will be effective. By testing the coefficients of regression interallelic interaction was not determined.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika-Belgrade",
title = "Genetic advance and regression analysis in sunflower",
pages = "1087-1075",
number = "3",
volume = "51",
doi = "10.2298/GENSR1903075J"
}
Jocković, M., Jocić, S., Prodanović, S., Cvejić, S., Jocković, J., Radanović, A.,& Jocković, B.. (2019). Genetic advance and regression analysis in sunflower. in Genetika-Belgrade
Društvo genetičara Srbije, Beograd., 51(3), 1075-1087.
https://doi.org/10.2298/GENSR1903075J
Jocković M, Jocić S, Prodanović S, Cvejić S, Jocković J, Radanović A, Jocković B. Genetic advance and regression analysis in sunflower. in Genetika-Belgrade. 2019;51(3):1075-1087.
doi:10.2298/GENSR1903075J .
Jocković, Milan, Jocić, Siniša, Prodanović, Slaven, Cvejić, Sandra, Jocković, Jelena, Radanović, Aleksandra, Jocković, Bojan, "Genetic advance and regression analysis in sunflower" in Genetika-Belgrade, 51, no. 3 (2019):1075-1087,
https://doi.org/10.2298/GENSR1903075J . .

Evaluation of sunflower hybrids in multi-environment trial (met)

Jocković, Milan; Cvejić, Sandra; Jocić, Siniša; Marjanović-Jeromela, Ana; Miladinović, Dragana; Jocković, Bojan; Miklič, Vladimir; Radić, Velimir

(Soc Field Crop Sci, Bornova, 2019)

TY  - JOUR
AU  - Jocković, Milan
AU  - Cvejić, Sandra
AU  - Jocić, Siniša
AU  - Marjanović-Jeromela, Ana
AU  - Miladinović, Dragana
AU  - Jocković, Bojan
AU  - Miklič, Vladimir
AU  - Radić, Velimir
PY  - 2019
UR  - http://fiver.ifvcns.rs/handle/123456789/1888
AB  - Sunflower has been proposed as a potential crop model for an adaptation to a changing environment and special attention should be paid to testing hybrids under different environments. Additive main effects and multiplicative interaction model (AMMI) supplemented with genotype main effects and genotype by environment interaction effects (GGE) were used for dissection of genotype by environment interaction and evaluation of hybrids and testing environments. The research included 24 sunflower hybrids grown across twelve environments. AMMI analysis identified four significant interaction principal components (IPC), while in GGE biplot the first two IPCs accounted together for 44.59% Environmental factors contributed the largest proportion in the total variation of seed yield (67.40%), followed by interaction and genotypes. High yielding hybrids H1, H14 and H11 showed specific adaptation to environments E10 and E1, respectively. The average environment coordination (AEC) view of GGE biplot indicated H17 as the most desirable genotype regarding seed yield. From the results of this study it can be concluded that MET trials are important not just for evaluation of stability and choosing the most stable genotypes, but also the genotypes that will perform well in low yielding environments and be able to take advantage of the favourable environmental conditions.
PB  - Soc Field Crop Sci, Bornova
T2  - Turkish Journal of Field Crops
T1  - Evaluation of sunflower hybrids in multi-environment trial (met)
EP  - 210
IS  - 2
SP  - 202
VL  - 24
DO  - 10.17557/tjfc.645276
ER  - 
@article{
author = "Jocković, Milan and Cvejić, Sandra and Jocić, Siniša and Marjanović-Jeromela, Ana and Miladinović, Dragana and Jocković, Bojan and Miklič, Vladimir and Radić, Velimir",
year = "2019",
abstract = "Sunflower has been proposed as a potential crop model for an adaptation to a changing environment and special attention should be paid to testing hybrids under different environments. Additive main effects and multiplicative interaction model (AMMI) supplemented with genotype main effects and genotype by environment interaction effects (GGE) were used for dissection of genotype by environment interaction and evaluation of hybrids and testing environments. The research included 24 sunflower hybrids grown across twelve environments. AMMI analysis identified four significant interaction principal components (IPC), while in GGE biplot the first two IPCs accounted together for 44.59% Environmental factors contributed the largest proportion in the total variation of seed yield (67.40%), followed by interaction and genotypes. High yielding hybrids H1, H14 and H11 showed specific adaptation to environments E10 and E1, respectively. The average environment coordination (AEC) view of GGE biplot indicated H17 as the most desirable genotype regarding seed yield. From the results of this study it can be concluded that MET trials are important not just for evaluation of stability and choosing the most stable genotypes, but also the genotypes that will perform well in low yielding environments and be able to take advantage of the favourable environmental conditions.",
publisher = "Soc Field Crop Sci, Bornova",
journal = "Turkish Journal of Field Crops",
title = "Evaluation of sunflower hybrids in multi-environment trial (met)",
pages = "210-202",
number = "2",
volume = "24",
doi = "10.17557/tjfc.645276"
}
Jocković, M., Cvejić, S., Jocić, S., Marjanović-Jeromela, A., Miladinović, D., Jocković, B., Miklič, V.,& Radić, V.. (2019). Evaluation of sunflower hybrids in multi-environment trial (met). in Turkish Journal of Field Crops
Soc Field Crop Sci, Bornova., 24(2), 202-210.
https://doi.org/10.17557/tjfc.645276
Jocković M, Cvejić S, Jocić S, Marjanović-Jeromela A, Miladinović D, Jocković B, Miklič V, Radić V. Evaluation of sunflower hybrids in multi-environment trial (met). in Turkish Journal of Field Crops. 2019;24(2):202-210.
doi:10.17557/tjfc.645276 .
Jocković, Milan, Cvejić, Sandra, Jocić, Siniša, Marjanović-Jeromela, Ana, Miladinović, Dragana, Jocković, Bojan, Miklič, Vladimir, Radić, Velimir, "Evaluation of sunflower hybrids in multi-environment trial (met)" in Turkish Journal of Field Crops, 24, no. 2 (2019):202-210,
https://doi.org/10.17557/tjfc.645276 . .
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Development and Validation of Markers for the Fertility Restorer Gene Rf1 in Sunflower

Horn, Renate; Radanović, Aleksandra; Fuhrmann, Lena; Sprycha, Yves; Hamrit, Sonia; Jocković, Milan; Miladinović, Dragana; Jansen, Constantin

(Basel : MDPI, 2019)

TY  - JOUR
AU  - Horn, Renate
AU  - Radanović, Aleksandra
AU  - Fuhrmann, Lena
AU  - Sprycha, Yves
AU  - Hamrit, Sonia
AU  - Jocković, Milan
AU  - Miladinović, Dragana
AU  - Jansen, Constantin
PY  - 2019
UR  - http://fiver.ifvcns.rs/handle/123456789/1927
AB  - Hybrid breeding in sunflowers based on CMS PET1 requires development of restorer lines carrying, in most cases, the restorer gene Rf1. Markers for marker-assisted selection have been developed, but there is still need for closer, more versatile, and co-dominant markers linked to Rf1. Homology searches against the reference sunflower genome using sequences of cloned markers, as well as Bacterial Artificial Chromosome (BAC)-end sequences of clones hybridizing to them, allowed the identification of two genomic regions of 30 and 3.9 Mb, respectively, as possible physical locations of the restorer gene Rf1 on linkage group 13. Nine potential candidate genes, encoding six pentatricopeptide repeat proteins, one tetratricopeptide-like helical domain, a probable aldehyde dehydrogenase 22A1, and a probable poly(A) polymerase 3 (PAPS3), were identified in these two genomic regions. Amplicon targeted next generation sequencing of these nine candidate genes for Rf1 was performed in an association panel consisting of 27 maintainer and 32 restorer lines and revealed the presence of 210 Single Nucleotide Polymorphisms (SNPs) and 67 Insertions/Deletions (INDELs). Association studies showed significant associations of 10 SNPs with fertility restoration (p-value  lt  10(-4)), narrowing Rf1 down to three candidate genes. Three new markers, one co-dominant marker 67N04_P and two dominant markers, PPR621.5R for restorer, and PPR621.5M for maintainer lines were developed and verified in the association panel of 59 sunflower lines. The versatility of the three newly developed markers, as well as of three existing markers for the restorer gene Rf1 (HRG01 and HRG02, Cleaved Amplified Polymorphic Sequence (CAPS)-marker H13), was analyzed in a large association panel consisting of 557 accessions.
PB  - Basel : MDPI
T2  - International Journal of Molecular Sciences
T1  - Development and Validation of Markers for the Fertility Restorer Gene Rf1 in Sunflower
IS  - 6
VL  - 20
DO  - 10.3390/ijms20061260
ER  - 
@article{
author = "Horn, Renate and Radanović, Aleksandra and Fuhrmann, Lena and Sprycha, Yves and Hamrit, Sonia and Jocković, Milan and Miladinović, Dragana and Jansen, Constantin",
year = "2019",
abstract = "Hybrid breeding in sunflowers based on CMS PET1 requires development of restorer lines carrying, in most cases, the restorer gene Rf1. Markers for marker-assisted selection have been developed, but there is still need for closer, more versatile, and co-dominant markers linked to Rf1. Homology searches against the reference sunflower genome using sequences of cloned markers, as well as Bacterial Artificial Chromosome (BAC)-end sequences of clones hybridizing to them, allowed the identification of two genomic regions of 30 and 3.9 Mb, respectively, as possible physical locations of the restorer gene Rf1 on linkage group 13. Nine potential candidate genes, encoding six pentatricopeptide repeat proteins, one tetratricopeptide-like helical domain, a probable aldehyde dehydrogenase 22A1, and a probable poly(A) polymerase 3 (PAPS3), were identified in these two genomic regions. Amplicon targeted next generation sequencing of these nine candidate genes for Rf1 was performed in an association panel consisting of 27 maintainer and 32 restorer lines and revealed the presence of 210 Single Nucleotide Polymorphisms (SNPs) and 67 Insertions/Deletions (INDELs). Association studies showed significant associations of 10 SNPs with fertility restoration (p-value  lt  10(-4)), narrowing Rf1 down to three candidate genes. Three new markers, one co-dominant marker 67N04_P and two dominant markers, PPR621.5R for restorer, and PPR621.5M for maintainer lines were developed and verified in the association panel of 59 sunflower lines. The versatility of the three newly developed markers, as well as of three existing markers for the restorer gene Rf1 (HRG01 and HRG02, Cleaved Amplified Polymorphic Sequence (CAPS)-marker H13), was analyzed in a large association panel consisting of 557 accessions.",
publisher = "Basel : MDPI",
journal = "International Journal of Molecular Sciences",
title = "Development and Validation of Markers for the Fertility Restorer Gene Rf1 in Sunflower",
number = "6",
volume = "20",
doi = "10.3390/ijms20061260"
}
Horn, R., Radanović, A., Fuhrmann, L., Sprycha, Y., Hamrit, S., Jocković, M., Miladinović, D.,& Jansen, C.. (2019). Development and Validation of Markers for the Fertility Restorer Gene Rf1 in Sunflower. in International Journal of Molecular Sciences
Basel : MDPI., 20(6).
https://doi.org/10.3390/ijms20061260
Horn R, Radanović A, Fuhrmann L, Sprycha Y, Hamrit S, Jocković M, Miladinović D, Jansen C. Development and Validation of Markers for the Fertility Restorer Gene Rf1 in Sunflower. in International Journal of Molecular Sciences. 2019;20(6).
doi:10.3390/ijms20061260 .
Horn, Renate, Radanović, Aleksandra, Fuhrmann, Lena, Sprycha, Yves, Hamrit, Sonia, Jocković, Milan, Miladinović, Dragana, Jansen, Constantin, "Development and Validation of Markers for the Fertility Restorer Gene Rf1 in Sunflower" in International Journal of Molecular Sciences, 20, no. 6 (2019),
https://doi.org/10.3390/ijms20061260 . .
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