Filipović, Milomir

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  • Filipović, Milomir (2)
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Author's Bibliography

Application of AMMI model in zoning of FAO 400-500 maize hybrids

Drašković, Bojan; Zečević, Veselinka; Hojka, Zdravko; Filipović, Milomir; Srdić, Jelena; Kravić, Natalija; Babić, Vojka

(Belgrade : Serbian Association of Plant Breedings and Seed Producers, 2021)

TY  - JOUR
AU  - Drašković, Bojan
AU  - Zečević, Veselinka
AU  - Hojka, Zdravko
AU  - Filipović, Milomir
AU  - Srdić, Jelena
AU  - Kravić, Natalija
AU  - Babić, Vojka
PY  - 2021
UR  - http://RIVeC.institut-palanka.rs/handle/123456789/271
AB  - Identification of high yielding and stable genotypes is one of the main goals in all breeding programmes. Estimation of hybrids is often aggravated due to the presence of genotype x environment (GE) interaction. One of the ways to eliminate negative effect of this interaction is the application of reliable statistical models such as AMMI model, which singles out high yielding and stable genotypes that have positive reaction to the improvement of production environments. This research aimed to establish specific maize hybrids interactions in different environments in two years by AMMI analysis. Twelve KWS maize hybrids belonging to FAO 400-500, were examined in two years over eight locations in Vojvodina. The highest yield in both years had the hybrid KWS2 (12.764 kg ha-1). Based on the AMMI1 model, hybrid KWS9 showed the highest stability and adaptability at all locations. According to AMMI2, hybrids KWS1, KWS3 and KWS12, had the highest stability and adaptability, while hybrids KWS2, KWS6, KWS8, KWS9 and KWS10 showed a satisfactory level of stability and it is necessary to pay attention to which locations they have positive interactions in order to be recommended in such regions. Nevertheless, based on the AMMI2, locations Temerin, Kikinda and Zrenjanin, showed similar interaction response, which points out that the number of trial locations could be reduced. Obtained results would contribute to the more precise decision in hybrids recommendation for the certain region, but also in defining further aims in maize breeding.
PB  - Belgrade : Serbian Association of Plant Breedings and Seed Producers
T2  - Selekcija i semenarstvo
T1  - Application of AMMI model in zoning of FAO 400-500 maize hybrids
EP  - 49
IS  - 1
SP  - 41
VL  - 27
DO  - 10 .5937/SelSem2101041D
ER  - 
@article{
author = "Drašković, Bojan and Zečević, Veselinka and Hojka, Zdravko and Filipović, Milomir and Srdić, Jelena and Kravić, Natalija and Babić, Vojka",
year = "2021",
abstract = "Identification of high yielding and stable genotypes is one of the main goals in all breeding programmes. Estimation of hybrids is often aggravated due to the presence of genotype x environment (GE) interaction. One of the ways to eliminate negative effect of this interaction is the application of reliable statistical models such as AMMI model, which singles out high yielding and stable genotypes that have positive reaction to the improvement of production environments. This research aimed to establish specific maize hybrids interactions in different environments in two years by AMMI analysis. Twelve KWS maize hybrids belonging to FAO 400-500, were examined in two years over eight locations in Vojvodina. The highest yield in both years had the hybrid KWS2 (12.764 kg ha-1). Based on the AMMI1 model, hybrid KWS9 showed the highest stability and adaptability at all locations. According to AMMI2, hybrids KWS1, KWS3 and KWS12, had the highest stability and adaptability, while hybrids KWS2, KWS6, KWS8, KWS9 and KWS10 showed a satisfactory level of stability and it is necessary to pay attention to which locations they have positive interactions in order to be recommended in such regions. Nevertheless, based on the AMMI2, locations Temerin, Kikinda and Zrenjanin, showed similar interaction response, which points out that the number of trial locations could be reduced. Obtained results would contribute to the more precise decision in hybrids recommendation for the certain region, but also in defining further aims in maize breeding.",
publisher = "Belgrade : Serbian Association of Plant Breedings and Seed Producers",
journal = "Selekcija i semenarstvo",
title = "Application of AMMI model in zoning of FAO 400-500 maize hybrids",
pages = "49-41",
number = "1",
volume = "27",
doi = "10 .5937/SelSem2101041D"
}
Drašković, B., Zečević, V., Hojka, Z., Filipović, M., Srdić, J., Kravić, N.,& Babić, V.. (2021). Application of AMMI model in zoning of FAO 400-500 maize hybrids. in Selekcija i semenarstvo
Belgrade : Serbian Association of Plant Breedings and Seed Producers., 27(1), 41-49.
https://doi.org/10 .5937/SelSem2101041D
Drašković B, Zečević V, Hojka Z, Filipović M, Srdić J, Kravić N, Babić V. Application of AMMI model in zoning of FAO 400-500 maize hybrids. in Selekcija i semenarstvo. 2021;27(1):41-49.
doi:10 .5937/SelSem2101041D .
Drašković, Bojan, Zečević, Veselinka, Hojka, Zdravko, Filipović, Milomir, Srdić, Jelena, Kravić, Natalija, Babić, Vojka, "Application of AMMI model in zoning of FAO 400-500 maize hybrids" in Selekcija i semenarstvo, 27, no. 1 (2021):41-49,
https://doi.org/10 .5937/SelSem2101041D . .

Evaluation of maize grain yield and yield stability by AMMI analysis

Branković-Radojčić, Dragana; Babić, Vojka; Girek, Zdenka; Živanović, Tomislav; Radojčić, Aleksandar; Filipović, Milomir; Srdić, Jelena

(Društvo genetičara Srbije, Beograd, 2018)

TY  - JOUR
AU  - Branković-Radojčić, Dragana
AU  - Babić, Vojka
AU  - Girek, Zdenka
AU  - Živanović, Tomislav
AU  - Radojčić, Aleksandar
AU  - Filipović, Milomir
AU  - Srdić, Jelena
PY  - 2018
UR  - http://RIVeC.institut-palanka.rs/handle/123456789/200
AB  - Significant genotype x environment interaction for quantitative traits, such is grain yield, reduces the usefulness of genotype means, over all environments, for selecting superior genotypes. AMMI model is a valuable statistical tool in identifying systemic variation contained in the interaction effect. Obtained data could be applied in maximizing yield potential in every environment based on both narrow and wide genotype adaptability, without the necessity of developing breeding programs for smaller targeted environments. Precise assortment of superior genotypes, with the assistance of AMMI model, leads to the better recommendation of newly bred hybrids, and thus increasing maize grain yield in a targeted environment. In this research genotype x environment interaction and yield stability of 36 maize hybrids of FAO 300-700 maturity group was investigating. The trial was set according to Randomized Complete Block Design (RCBD). Data were processed in order to obtain average estimates of grain yield, and yield stability was assessed by the method of AMMI analysis. The highest average grain yield was achieved in 2011 (11.62 t/ha), and the lowest in the most stressful and dry 2012 (6.90 t/ha). In the region Loznica L2 the highest average yield was noticed (13.81 t/ha), while at L7 (Sremska Mitrovica) average grain yield was the lowest (6.97 t/ha). Results of AMMI analysis gave precise recommendation for production of maize hybrids in certain environments, by determining winning areas of hybrids H20, H11 and H36. Medium early maturing and high yielding hybrids (H11 and H20) are therefore considered more favorable for production in environments with lower precipitation, while high yielding and more stable hybrids H21 and H35 are suitable for a wider range of environments. Hybrid H36 (FAO 700) showed its full potential at L2, and L3 which did not suffer from a lack of moisture. This hybrid also expressed its best potential in environments with favorable conditions.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika
T1  - Evaluation of maize grain yield and yield stability by AMMI analysis
EP  - 1080
IS  - 3
SP  - 1067
VL  - 50
DO  - 10.2298/GENSR1803067B
ER  - 
@article{
author = "Branković-Radojčić, Dragana and Babić, Vojka and Girek, Zdenka and Živanović, Tomislav and Radojčić, Aleksandar and Filipović, Milomir and Srdić, Jelena",
year = "2018",
abstract = "Significant genotype x environment interaction for quantitative traits, such is grain yield, reduces the usefulness of genotype means, over all environments, for selecting superior genotypes. AMMI model is a valuable statistical tool in identifying systemic variation contained in the interaction effect. Obtained data could be applied in maximizing yield potential in every environment based on both narrow and wide genotype adaptability, without the necessity of developing breeding programs for smaller targeted environments. Precise assortment of superior genotypes, with the assistance of AMMI model, leads to the better recommendation of newly bred hybrids, and thus increasing maize grain yield in a targeted environment. In this research genotype x environment interaction and yield stability of 36 maize hybrids of FAO 300-700 maturity group was investigating. The trial was set according to Randomized Complete Block Design (RCBD). Data were processed in order to obtain average estimates of grain yield, and yield stability was assessed by the method of AMMI analysis. The highest average grain yield was achieved in 2011 (11.62 t/ha), and the lowest in the most stressful and dry 2012 (6.90 t/ha). In the region Loznica L2 the highest average yield was noticed (13.81 t/ha), while at L7 (Sremska Mitrovica) average grain yield was the lowest (6.97 t/ha). Results of AMMI analysis gave precise recommendation for production of maize hybrids in certain environments, by determining winning areas of hybrids H20, H11 and H36. Medium early maturing and high yielding hybrids (H11 and H20) are therefore considered more favorable for production in environments with lower precipitation, while high yielding and more stable hybrids H21 and H35 are suitable for a wider range of environments. Hybrid H36 (FAO 700) showed its full potential at L2, and L3 which did not suffer from a lack of moisture. This hybrid also expressed its best potential in environments with favorable conditions.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika",
title = "Evaluation of maize grain yield and yield stability by AMMI analysis",
pages = "1080-1067",
number = "3",
volume = "50",
doi = "10.2298/GENSR1803067B"
}
Branković-Radojčić, D., Babić, V., Girek, Z., Živanović, T., Radojčić, A., Filipović, M.,& Srdić, J.. (2018). Evaluation of maize grain yield and yield stability by AMMI analysis. in Genetika
Društvo genetičara Srbije, Beograd., 50(3), 1067-1080.
https://doi.org/10.2298/GENSR1803067B
Branković-Radojčić D, Babić V, Girek Z, Živanović T, Radojčić A, Filipović M, Srdić J. Evaluation of maize grain yield and yield stability by AMMI analysis. in Genetika. 2018;50(3):1067-1080.
doi:10.2298/GENSR1803067B .
Branković-Radojčić, Dragana, Babić, Vojka, Girek, Zdenka, Živanović, Tomislav, Radojčić, Aleksandar, Filipović, Milomir, Srdić, Jelena, "Evaluation of maize grain yield and yield stability by AMMI analysis" in Genetika, 50, no. 3 (2018):1067-1080,
https://doi.org/10.2298/GENSR1803067B . .
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