TY  - JOUR
AU  - Brankov, Milan
AU  - Simić, Milena
AU  - Tabaković, Marijenka
AU  - Vukadinović, Jelena
AU  - Đurić, Nenad
AU  - Branković-Radojčić, Dragana
AU  - Dragičević, Vesna
PY  - 2022
UR  - http://RIVeC.institut-palanka.rs/handle/123456789/501
AB  - Redroot (Amaranthus retroflexus L.) and smooth pigweed (A. hybridus L.) are troublesome weeds in row crops in Serbia. Both species are very competitive, hosts for pathogens and insects, produce pollen which is highly allergenic; and the most recent research reported herbicide resistance in some populations across Serbia. An integrated approach for the control of both Amaranthus species must be evaluated and presented in order to reduce their negative potential in agriculture. In this paper, 9 yr results on redroot pigweed and smooth pigweed weed control are presented. In three different experiments, weed density and biomass of redroot and smooth pigweed were recorded: a) Crop rotation, b) row spacing and time of herbicide application, c) influence of nozzles and adjuvants. The influence of crop rotation and PRE herbicide mixture, PRE and POST mixture, and impact of nozzles and adjuvants were evaluated. PRE herbicide mix of S-metolachlor and isoxaflutole influenced 98.1% and 100% efficacy in the maize (Zea mays L.) continuous and in maize rotated with winter wheat (Triticum aestivum L.), respectively. The mixture of two herbicides, applied either in PRE or POST, resulted in 100% of control of both species. Finally, similar results were obtained for nicosulfuron application with extended range (XR) or turbo TeeJet induction (TTI) nozzles, and combined with nonionic surfactant (NIS) or ammonium sulphate (AMS) adjuvants. The novelty of obtained results indicates that only holistic approach based on different weed management practices can contribute to sustainable Amaranthus control.
PB  - Instituto de Investigaciones Agropecuarias (INIA), Ministerio de Agricultura, Chile
T2  - Chilean Journal of Agricultural Research
T1  - Weed management practices for redroot pigweed (Amaranthus retroflexus L.) and smooth pigweed (A. hybridus L.) control in maize
EP  - 618
IS  - 4
SP  - 611
VL  - 82
DO  - 10.4067/S0718-58392022000400611
ER  - 

@article{
author = "Brankov, Milan and Simić, Milena and Tabaković, Marijenka and Vukadinović, Jelena and Đurić, Nenad and Branković-Radojčić, Dragana and Dragičević, Vesna",
year = "2022",
abstract = "Redroot (Amaranthus retroflexus L.) and smooth pigweed (A. hybridus L.) are troublesome weeds in row crops in Serbia. Both species are very competitive, hosts for pathogens and insects, produce pollen which is highly allergenic; and the most recent research reported herbicide resistance in some populations across Serbia. An integrated approach for the control of both Amaranthus species must be evaluated and presented in order to reduce their negative potential in agriculture. In this paper, 9 yr results on redroot pigweed and smooth pigweed weed control are presented. In three different experiments, weed density and biomass of redroot and smooth pigweed were recorded: a) Crop rotation, b) row spacing and time of herbicide application, c) influence of nozzles and adjuvants. The influence of crop rotation and PRE herbicide mixture, PRE and POST mixture, and impact of nozzles and adjuvants were evaluated. PRE herbicide mix of S-metolachlor and isoxaflutole influenced 98.1% and 100% efficacy in the maize (Zea mays L.) continuous and in maize rotated with winter wheat (Triticum aestivum L.), respectively. The mixture of two herbicides, applied either in PRE or POST, resulted in 100% of control of both species. Finally, similar results were obtained for nicosulfuron application with extended range (XR) or turbo TeeJet induction (TTI) nozzles, and combined with nonionic surfactant (NIS) or ammonium sulphate (AMS) adjuvants. The novelty of obtained results indicates that only holistic approach based on different weed management practices can contribute to sustainable Amaranthus control.",
publisher = "Instituto de Investigaciones Agropecuarias (INIA), Ministerio de Agricultura, Chile",
journal = "Chilean Journal of Agricultural Research",
title = "Weed management practices for redroot pigweed (Amaranthus retroflexus L.) and smooth pigweed (A. hybridus L.) control in maize",
pages = "618-611",
number = "4",
volume = "82",
doi = "10.4067/S0718-58392022000400611"
}

Brankov, M., Simić, M., Tabaković, M., Vukadinović, J., Đurić, N., Branković-Radojčić, D.,& Dragičević, V.. (2022). Weed management practices for redroot pigweed (Amaranthus retroflexus L.) and smooth pigweed (A. hybridus L.) control in maize. in Chilean Journal of Agricultural Research
Instituto de Investigaciones Agropecuarias (INIA), Ministerio de Agricultura, Chile., 82(4), 611-618.
https://doi.org/10.4067/S0718-58392022000400611

Brankov M, Simić M, Tabaković M, Vukadinović J, Đurić N, Branković-Radojčić D, Dragičević V. Weed management practices for redroot pigweed (Amaranthus retroflexus L.) and smooth pigweed (A. hybridus L.) control in maize. in Chilean Journal of Agricultural Research. 2022;82(4):611-618.
doi:10.4067/S0718-58392022000400611 .

Brankov, Milan, Simić, Milena, Tabaković, Marijenka, Vukadinović, Jelena, Đurić, Nenad, Branković-Radojčić, Dragana, Dragičević, Vesna, "Weed management practices for redroot pigweed (Amaranthus retroflexus L.) and smooth pigweed (A. hybridus L.) control in maize" in Chilean Journal of Agricultural Research, 82, no. 4 (2022):611-618,
https://doi.org/10.4067/S0718-58392022000400611 . .

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 . .