TY  - PAT
AU  - Mitrović, Bojan
AU  - Nastasić, Aleksandra
AU  - Zorić, Miroslav
AU  - Perišić, Milica
AU  - Rajković, Miloš
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3624
AB  - Ovo je novostvoreni hibrid kukuruza (Zea mays L.) NS 6302 priznat od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije.
AB  - This is registered newly-developed hybrid of maize (Zea mays L.) NS 6302 released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.
T1  - NS 6302, hibrid kukuruza
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3624
ER  - 

@misc{
author = "Mitrović, Bojan and Nastasić, Aleksandra and Zorić, Miroslav and Perišić, Milica and Rajković, Miloš",
year = "2023",
abstract = "Ovo je novostvoreni hibrid kukuruza (Zea mays L.) NS 6302 priznat od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije., This is registered newly-developed hybrid of maize (Zea mays L.) NS 6302 released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.",
title = "NS 6302, hibrid kukuruza",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3624"
}

Mitrović, B., Nastasić, A., Zorić, M., Perišić, M.,& Rajković, M.. (2023). NS 6302, hibrid kukuruza. .
https://hdl.handle.net/21.15107/rcub_fiver_3624

Mitrović B, Nastasić A, Zorić M, Perišić M, Rajković M. NS 6302, hibrid kukuruza. 2023;.
https://hdl.handle.net/21.15107/rcub_fiver_3624 .

Mitrović, Bojan, Nastasić, Aleksandra, Zorić, Miroslav, Perišić, Milica, Rajković, Miloš, "NS 6302, hibrid kukuruza" (2023),
https://hdl.handle.net/21.15107/rcub_fiver_3624 .

TY  - JOUR
AU  - Perišić, Milica
AU  - Perkins, Alden
AU  - Lima, Dayane Cristina
AU  - de Leon, Natalia
AU  - Mitrović, Bojan
AU  - Stanisavljević, Dušan
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3339
AB  - Maize silage is fundamental for high milk production in dairy farming. The incorporation of new genetic diversity into temperate maize germplasm has the potential to improve adapted cultivars, and it could be especially useful for improving the nutrition of silage varieties. The goal of this study is to assess the potential for lines from the Germplasm Enhancement of Maize (GEM) project to compete with commercial silage hybrids when crossed with elite temperate-adapted testers. We examined 35 GEM-derived hybrids along with five commercial checks in seven environments across three years in trials that were arranged in randomized complete block designs. Hybrids were compared based on their potential for conversion into animal productivity units: milk yield per hectare (Milk ha−1) and milk yield per ton of silage (Milk t−1). Broad phenotypic variation was observed for both traits, and the broad-sense heritability of Milk ha−1 and Milk t−1 were 0.24 and 0.31, respectively. Five out of six hybrids in the top 15%, based on a multi-trait stability index, were GEM-derived hybrids. The large proportions of phenotypic variance attributed to genotype by environment interactions (GEI) for quality traits suggests that local adaptation should be leveraged for silage breeding that make use of GEM-derived materials.
PB  - Basel : MDPI
T2  - Agronomy - Basel
T1  - GEM Project-Derived Maize Lines Crossed with Temperate Elite Tester Lines Make for High-Quality, High-Yielding and Stable Silage Hybrids
SP  - 243
VL  - 13
DO  - 10.3390/agronomy13010243
ER  - 

@article{
author = "Perišić, Milica and Perkins, Alden and Lima, Dayane Cristina and de Leon, Natalia and Mitrović, Bojan and Stanisavljević, Dušan",
year = "2023",
abstract = "Maize silage is fundamental for high milk production in dairy farming. The incorporation of new genetic diversity into temperate maize germplasm has the potential to improve adapted cultivars, and it could be especially useful for improving the nutrition of silage varieties. The goal of this study is to assess the potential for lines from the Germplasm Enhancement of Maize (GEM) project to compete with commercial silage hybrids when crossed with elite temperate-adapted testers. We examined 35 GEM-derived hybrids along with five commercial checks in seven environments across three years in trials that were arranged in randomized complete block designs. Hybrids were compared based on their potential for conversion into animal productivity units: milk yield per hectare (Milk ha−1) and milk yield per ton of silage (Milk t−1). Broad phenotypic variation was observed for both traits, and the broad-sense heritability of Milk ha−1 and Milk t−1 were 0.24 and 0.31, respectively. Five out of six hybrids in the top 15%, based on a multi-trait stability index, were GEM-derived hybrids. The large proportions of phenotypic variance attributed to genotype by environment interactions (GEI) for quality traits suggests that local adaptation should be leveraged for silage breeding that make use of GEM-derived materials.",
publisher = "Basel : MDPI",
journal = "Agronomy - Basel",
title = "GEM Project-Derived Maize Lines Crossed with Temperate Elite Tester Lines Make for High-Quality, High-Yielding and Stable Silage Hybrids",
pages = "243",
volume = "13",
doi = "10.3390/agronomy13010243"
}

Perišić, M., Perkins, A., Lima, D. C., de Leon, N., Mitrović, B.,& Stanisavljević, D.. (2023). GEM Project-Derived Maize Lines Crossed with Temperate Elite Tester Lines Make for High-Quality, High-Yielding and Stable Silage Hybrids. in Agronomy - Basel
Basel : MDPI., 13, 243.
https://doi.org/10.3390/agronomy13010243

Perišić M, Perkins A, Lima DC, de Leon N, Mitrović B, Stanisavljević D. GEM Project-Derived Maize Lines Crossed with Temperate Elite Tester Lines Make for High-Quality, High-Yielding and Stable Silage Hybrids. in Agronomy - Basel. 2023;13:243.
doi:10.3390/agronomy13010243 .

Perišić, Milica, Perkins, Alden, Lima, Dayane Cristina, de Leon, Natalia, Mitrović, Bojan, Stanisavljević, Dušan, "GEM Project-Derived Maize Lines Crossed with Temperate Elite Tester Lines Make for High-Quality, High-Yielding and Stable Silage Hybrids" in Agronomy - Basel, 13 (2023):243,
https://doi.org/10.3390/agronomy13010243 . .

TY  - PAT
AU  - Mitrović, Bojan
AU  - Stanisavljević, Dušan
AU  - Bekavac, Goran
AU  - Purar, Božana
AU  - Perišić, Milica
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3613
AB  - Ovo je novostvoreni hibrid kukuruza (Zea mays L.) NS 6601 priznat od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije.
AB  - This is registered newly-developed hybrid of maize (Zea mays L.) NS 6601 released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.
T1  - NS 6601, hibrid kukuruza
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3613
ER  - 

@misc{
author = "Mitrović, Bojan and Stanisavljević, Dušan and Bekavac, Goran and Purar, Božana and Perišić, Milica",
year = "2022",
abstract = "Ovo je novostvoreni hibrid kukuruza (Zea mays L.) NS 6601 priznat od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije., This is registered newly-developed hybrid of maize (Zea mays L.) NS 6601 released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.",
title = "NS 6601, hibrid kukuruza",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3613"
}

Mitrović, B., Stanisavljević, D., Bekavac, G., Purar, B.,& Perišić, M.. (2022). NS 6601, hibrid kukuruza. .
https://hdl.handle.net/21.15107/rcub_fiver_3613

Mitrović B, Stanisavljević D, Bekavac G, Purar B, Perišić M. NS 6601, hibrid kukuruza. 2022;.
https://hdl.handle.net/21.15107/rcub_fiver_3613 .

Mitrović, Bojan, Stanisavljević, Dušan, Bekavac, Goran, Purar, Božana, Perišić, Milica, "NS 6601, hibrid kukuruza" (2022),
https://hdl.handle.net/21.15107/rcub_fiver_3613 .

TY  - CONF
AU  - Stanisavljević, Dušan
AU  - Zorić, Miroslav
AU  - Mitrović, Bojan
AU  - Babić, Milosav
AU  - Čanak, Petar
AU  - Vujošević, Bojana
AU  - Perišić, Milica
AU  - Šumaruna, Maja
PY  - 2021
UR  - http://fiver.ifvcns.rs/handle/123456789/4239
AB  - In early stages of maize breeding program, large number of new genotypes are grown in a set of field trial locations. The best ones are identified to move to the next stage so that in the final stages of breeding program small number of superior hybrids are grown in a pre-registration and post-registration field trials across set of locations. Field trials were conducted in a partially replicated design, each genotype with two replications per location at six locations in 2020. The experiments included 150 hybrids obtained by crossing different S2 progenies with an elite inbred tester. These field trials were conducted to identify the best performing genotypes using appropriate statistical model. The factor analytic (FA) model accommodates the heterogeneity of genetic variance for locations and heterogeneity of genetic covariance between pairs of locations.
PB  - East Sarajevo : University of East Sarajevo, Faculty of Agriculture
C3  - Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021
T1  - Hybrid × location interaction in a maize early testing using factor analytic approach
EP  - 201
SP  - 201
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4239
ER  - 

@conference{
author = "Stanisavljević, Dušan and Zorić, Miroslav and Mitrović, Bojan and Babić, Milosav and Čanak, Petar and Vujošević, Bojana and Perišić, Milica and Šumaruna, Maja",
year = "2021",
abstract = "In early stages of maize breeding program, large number of new genotypes are grown in a set of field trial locations. The best ones are identified to move to the next stage so that in the final stages of breeding program small number of superior hybrids are grown in a pre-registration and post-registration field trials across set of locations. Field trials were conducted in a partially replicated design, each genotype with two replications per location at six locations in 2020. The experiments included 150 hybrids obtained by crossing different S2 progenies with an elite inbred tester. These field trials were conducted to identify the best performing genotypes using appropriate statistical model. The factor analytic (FA) model accommodates the heterogeneity of genetic variance for locations and heterogeneity of genetic covariance between pairs of locations.",
publisher = "East Sarajevo : University of East Sarajevo, Faculty of Agriculture",
journal = "Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021",
title = "Hybrid × location interaction in a maize early testing using factor analytic approach",
pages = "201-201",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4239"
}

Stanisavljević, D., Zorić, M., Mitrović, B., Babić, M., Čanak, P., Vujošević, B., Perišić, M.,& Šumaruna, M.. (2021). Hybrid × location interaction in a maize early testing using factor analytic approach. in Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021
East Sarajevo : University of East Sarajevo, Faculty of Agriculture., 201-201.
https://hdl.handle.net/21.15107/rcub_fiver_4239

Stanisavljević D, Zorić M, Mitrović B, Babić M, Čanak P, Vujošević B, Perišić M, Šumaruna M. Hybrid × location interaction in a maize early testing using factor analytic approach. in Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021. 2021;:201-201.
https://hdl.handle.net/21.15107/rcub_fiver_4239 .

Stanisavljević, Dušan, Zorić, Miroslav, Mitrović, Bojan, Babić, Milosav, Čanak, Petar, Vujošević, Bojana, Perišić, Milica, Šumaruna, Maja, "Hybrid × location interaction in a maize early testing using factor analytic approach" in Book of abstracts, 12th International Scientific Agriculture Symposium "Agrosym 2021", Jahorina, 7-10 October 2021 (2021):201-201,
https://hdl.handle.net/21.15107/rcub_fiver_4239 .

TY  - JOUR
AU  - Mitrović, Bojan
AU  - Drašković, Bojan
AU  - Stanisavljević, Dušan
AU  - Perišić, Milica
AU  - Čanak, Petar
AU  - Mitrović, Ivana
AU  - Tančić-Živanov, Sonja
PY  - 2020
UR  - http://fiver.ifvcns.rs/handle/123456789/1975
AB  - The phenomenon of genotype by environment interaction (GEI) represents permanent interest for breeders, geneticists and biometricians with its practical and theoretical aspects. We investigated GEI for grain yield of medium early maturity maize (Zea mays L.) hybrids from the official variety trial network by the Department of Protection and Recognition of Varieties of the Republic of Serbia that includes experimental maize hybrids on eight sites over two years. Environmental variables explained 77.6% and 60.7% of the GEI variation for two consecutive years, respectively. Factorial regression combined with stepwise procedure revealed the model which includes variables precipitation in July (pr7), minimum temperature in May (mnt5), maximum temperature in May (mxt5) and insolation hours in April (sh4), in 2004, and environmental index (EI) and average temperature in September (mt9) in 2005, to be the most explanatory models in the region of Vojvodina (Serbia) in two consecutive years. These results provide a base for further research in GEI and stability analysis, and are a useful tool in characterizing the sub-regions of maize growing area and extending the existing results to new sites.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika-Belgrade
T1  - Environmental modeling of interaction variance for grain yield of medium early maturity maize hybrids
EP  - 378
IS  - 1
SP  - 367
VL  - 52
DO  - 10.2298/GENSR2001367M
ER  - 

@article{
author = "Mitrović, Bojan and Drašković, Bojan and Stanisavljević, Dušan and Perišić, Milica and Čanak, Petar and Mitrović, Ivana and Tančić-Živanov, Sonja",
year = "2020",
abstract = "The phenomenon of genotype by environment interaction (GEI) represents permanent interest for breeders, geneticists and biometricians with its practical and theoretical aspects. We investigated GEI for grain yield of medium early maturity maize (Zea mays L.) hybrids from the official variety trial network by the Department of Protection and Recognition of Varieties of the Republic of Serbia that includes experimental maize hybrids on eight sites over two years. Environmental variables explained 77.6% and 60.7% of the GEI variation for two consecutive years, respectively. Factorial regression combined with stepwise procedure revealed the model which includes variables precipitation in July (pr7), minimum temperature in May (mnt5), maximum temperature in May (mxt5) and insolation hours in April (sh4), in 2004, and environmental index (EI) and average temperature in September (mt9) in 2005, to be the most explanatory models in the region of Vojvodina (Serbia) in two consecutive years. These results provide a base for further research in GEI and stability analysis, and are a useful tool in characterizing the sub-regions of maize growing area and extending the existing results to new sites.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika-Belgrade",
title = "Environmental modeling of interaction variance for grain yield of medium early maturity maize hybrids",
pages = "378-367",
number = "1",
volume = "52",
doi = "10.2298/GENSR2001367M"
}

Mitrović, B., Drašković, B., Stanisavljević, D., Perišić, M., Čanak, P., Mitrović, I.,& Tančić-Živanov, S.. (2020). Environmental modeling of interaction variance for grain yield of medium early maturity maize hybrids. in Genetika-Belgrade
Društvo genetičara Srbije, Beograd., 52(1), 367-378.
https://doi.org/10.2298/GENSR2001367M

Mitrović B, Drašković B, Stanisavljević D, Perišić M, Čanak P, Mitrović I, Tančić-Živanov S. Environmental modeling of interaction variance for grain yield of medium early maturity maize hybrids. in Genetika-Belgrade. 2020;52(1):367-378.
doi:10.2298/GENSR2001367M .

Mitrović, Bojan, Drašković, Bojan, Stanisavljević, Dušan, Perišić, Milica, Čanak, Petar, Mitrović, Ivana, Tančić-Živanov, Sonja, "Environmental modeling of interaction variance for grain yield of medium early maturity maize hybrids" in Genetika-Belgrade, 52, no. 1 (2020):367-378,
https://doi.org/10.2298/GENSR2001367M . .

TY  - CONF
AU  - Stanisavljević, Dušan
AU  - Zorić, Miroslav
AU  - Mitrović, Bojan
AU  - Perišić, Milica
AU  - Nastasić, Aleksandra
AU  - Babić, Milosav
AU  - Bekavac, Goran
PY  - 2019
UR  - http://fiver.ifvcns.rs/handle/123456789/3060
AB  - In recent years the availability of cheap genome-wide markers resulted in a novel approach in maize breeding called genomic prediction (GP). Genomic prediction is a special form of marker assisted breeding, in which genetic markers covering the whole genome are used for estimation genomic breeding value of individuals under selection. Genomic estimated breeding value (GEBV) of an individual represents the sum of effects associated with all the marker alleles present in an individual and included in the GP model applied to the population under selection. The GP is based on training (TP) and breeding (BP) populations. The TP is used for training of the GP model and for estimation of the marker effects required for estimation of GEBV of the individuals in the BP. The BP is the population subjected to GP for identification of the superior lines for use as parents for new hybrid combinations. In real maize breeding programs, successful implementation of the GP is based on data from multi-environment trials. Thus, appropriate modeling and statistical approaches are required to deal with the complexity of the multi-environment grain yield data coupled with genomic and environmental data to speed-up maize breeding.
PB  - Belgrade : Serbian Genetic Society
C3  - Book of Abstracts, 6th Congress of the Serbian Genetic Society, 13-17 October 2019, Vrnjačka Banja
T1  - Genomic prediction in maize breeding
EP  - 227
SP  - 227
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3060
ER  - 

@conference{
author = "Stanisavljević, Dušan and Zorić, Miroslav and Mitrović, Bojan and Perišić, Milica and Nastasić, Aleksandra and Babić, Milosav and Bekavac, Goran",
year = "2019",
abstract = "In recent years the availability of cheap genome-wide markers resulted in a novel approach in maize breeding called genomic prediction (GP). Genomic prediction is a special form of marker assisted breeding, in which genetic markers covering the whole genome are used for estimation genomic breeding value of individuals under selection. Genomic estimated breeding value (GEBV) of an individual represents the sum of effects associated with all the marker alleles present in an individual and included in the GP model applied to the population under selection. The GP is based on training (TP) and breeding (BP) populations. The TP is used for training of the GP model and for estimation of the marker effects required for estimation of GEBV of the individuals in the BP. The BP is the population subjected to GP for identification of the superior lines for use as parents for new hybrid combinations. In real maize breeding programs, successful implementation of the GP is based on data from multi-environment trials. Thus, appropriate modeling and statistical approaches are required to deal with the complexity of the multi-environment grain yield data coupled with genomic and environmental data to speed-up maize breeding.",
publisher = "Belgrade : Serbian Genetic Society",
journal = "Book of Abstracts, 6th Congress of the Serbian Genetic Society, 13-17 October 2019, Vrnjačka Banja",
title = "Genomic prediction in maize breeding",
pages = "227-227",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3060"
}

Stanisavljević, D., Zorić, M., Mitrović, B., Perišić, M., Nastasić, A., Babić, M.,& Bekavac, G.. (2019). Genomic prediction in maize breeding. in Book of Abstracts, 6th Congress of the Serbian Genetic Society, 13-17 October 2019, Vrnjačka Banja
Belgrade : Serbian Genetic Society., 227-227.
https://hdl.handle.net/21.15107/rcub_fiver_3060

Stanisavljević D, Zorić M, Mitrović B, Perišić M, Nastasić A, Babić M, Bekavac G. Genomic prediction in maize breeding. in Book of Abstracts, 6th Congress of the Serbian Genetic Society, 13-17 October 2019, Vrnjačka Banja. 2019;:227-227.
https://hdl.handle.net/21.15107/rcub_fiver_3060 .

Stanisavljević, Dušan, Zorić, Miroslav, Mitrović, Bojan, Perišić, Milica, Nastasić, Aleksandra, Babić, Milosav, Bekavac, Goran, "Genomic prediction in maize breeding" in Book of Abstracts, 6th Congress of the Serbian Genetic Society, 13-17 October 2019, Vrnjačka Banja (2019):227-227,
https://hdl.handle.net/21.15107/rcub_fiver_3060 .

TY  - CONF
AU  - Mitrović, Bojan
AU  - Perišić, Milica
AU  - Stanisavljević, Dušan
AU  - Čanak, Petar
AU  - Mikić, Sanja
AU  - Zorić, Miroslav
PY  - 2018
UR  - http://fiver.ifvcns.rs/handle/123456789/2250
AB  - The phenomenon of genotype by environmental interaction (GEI) represents permanent interest for breeders and biometricians along with practical and theoretical aspects. We investigated GEI for grain yield of middle-late maize (Zea mays L.) hybrids from the official variety trial network by the Department of Protection and Recognition of Varieties of Republic Serbia that Includes 25 experimental maize hybrids in the year of 2004, and 15 in the year of 2005, on eight sites over two years, using factorial regression model that captures additional environmental variables.
PB  - Belgrade : University of Belgrade, Institute of Botany and Botanical Garden Jevremovac
C3  - Book of Abstracts, 7th Balkan Botanical Congress, 10-14th September 2018, Novi Sad, Serbia, Botanica Serbica 42 (supplement 1)
T1  - Environmental modeling of interaction variance for grain yield of middle-late maize hybrids
EP  - 166
SP  - 166
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2250
ER  - 

@conference{
author = "Mitrović, Bojan and Perišić, Milica and Stanisavljević, Dušan and Čanak, Petar and Mikić, Sanja and Zorić, Miroslav",
year = "2018",
abstract = "The phenomenon of genotype by environmental interaction (GEI) represents permanent interest for breeders and biometricians along with practical and theoretical aspects. We investigated GEI for grain yield of middle-late maize (Zea mays L.) hybrids from the official variety trial network by the Department of Protection and Recognition of Varieties of Republic Serbia that Includes 25 experimental maize hybrids in the year of 2004, and 15 in the year of 2005, on eight sites over two years, using factorial regression model that captures additional environmental variables.",
publisher = "Belgrade : University of Belgrade, Institute of Botany and Botanical Garden Jevremovac",
journal = "Book of Abstracts, 7th Balkan Botanical Congress, 10-14th September 2018, Novi Sad, Serbia, Botanica Serbica 42 (supplement 1)",
title = "Environmental modeling of interaction variance for grain yield of middle-late maize hybrids",
pages = "166-166",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2250"
}

Mitrović, B., Perišić, M., Stanisavljević, D., Čanak, P., Mikić, S.,& Zorić, M.. (2018). Environmental modeling of interaction variance for grain yield of middle-late maize hybrids. in Book of Abstracts, 7th Balkan Botanical Congress, 10-14th September 2018, Novi Sad, Serbia, Botanica Serbica 42 (supplement 1)
Belgrade : University of Belgrade, Institute of Botany and Botanical Garden Jevremovac., 166-166.
https://hdl.handle.net/21.15107/rcub_fiver_2250

Mitrović B, Perišić M, Stanisavljević D, Čanak P, Mikić S, Zorić M. Environmental modeling of interaction variance for grain yield of middle-late maize hybrids. in Book of Abstracts, 7th Balkan Botanical Congress, 10-14th September 2018, Novi Sad, Serbia, Botanica Serbica 42 (supplement 1). 2018;:166-166.
https://hdl.handle.net/21.15107/rcub_fiver_2250 .

Mitrović, Bojan, Perišić, Milica, Stanisavljević, Dušan, Čanak, Petar, Mikić, Sanja, Zorić, Miroslav, "Environmental modeling of interaction variance for grain yield of middle-late maize hybrids" in Book of Abstracts, 7th Balkan Botanical Congress, 10-14th September 2018, Novi Sad, Serbia, Botanica Serbica 42 (supplement 1) (2018):166-166,
https://hdl.handle.net/21.15107/rcub_fiver_2250 .