Bačić, Jasmina

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orcid::0000-0001-7746-7125
  • Bačić, Jasmina (2)
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Author's Bibliography

Stress resistance indicators as the tool for selecting drought-tolerant wheat genotypes

Matković Stojšin, Mirela; Zečević, Veselinka; Urošević, Dušan; Božović, Dragan; Bačić, Jasmina; Bratković, Kamenko; Knežević, Desimir

(East Sarajevo : Faculty of Agriculture, 2023)

TY  - CONF
AU  - Matković Stojšin, Mirela
AU  - Zečević, Veselinka
AU  - Urošević, Dušan
AU  - Božović, Dragan
AU  - Bačić, Jasmina
AU  - Bratković, Kamenko
AU  - Knežević, Desimir
PY  - 2023
UR  - http://RIVeC.institut-palanka.rs/handle/123456789/809
AB  - Climate change and the resulting increase in the frequency and severity of drought can have
significant impacts on plant production. The use of drought-tolerant crop varieties can
significantly improve plant production under drought conditions. Therefore, the goal of this
research was to evaluate the drought tolerance of different wheat genotypes using stress
resistance indicators. An experiment was conducted with sixteen wheat genotypes in Novi Bečej (Vojvodina) in different growing seasons. The spike weight was used as a phenotypic marker of the effect of drought stress on the plant. Selection based on resistance indicators
such as stress tolerance index (STI), mean productivity (MP), and geometric mean
productivity (GMP) favors the selection of genotypes Dunavka, Skopjanka, and Fundulea 4,
which were characterized by the highest average values of spike weight, especially in
favorable growing conditions. However, genotype Fundulea 4 is characterized by the highest
stress susceptibility index (SSI) and the lowest yield stability index (YSI), which makes this
genotype undesirable for growing under drought conditions. The parameters SSI and YSI
favor the selection of the genotype Pitoma, which showed the highest value of spike weight in
drought conditions as well as the least reduction in value caused by stress. Genotypes Pitoma,
Dunavka, and Skopjanka, characterized by a high yield index (YI), are suitable for cultivation
in drought conditions, where they achieved above-average trait values. The most suitable
stress resistance indicators for selecting drought-tolerant wheat genotypes are SSI, YSI, and
YI.
PB  - East Sarajevo : Faculty of Agriculture
C3  - XIV International Scientific Boo of proceedings : Agriculture Symposium "AGROSYM 2023", Jahorina, October 05 - 08
T1  - Stress resistance indicators as the tool for selecting drought-tolerant wheat genotypes
EP  - 323
SP  - 318
UR  - https://hdl.handle.net/21.15107/rcub_rivec_809
ER  - 
@conference{
author = "Matković Stojšin, Mirela and Zečević, Veselinka and Urošević, Dušan and Božović, Dragan and Bačić, Jasmina and Bratković, Kamenko and Knežević, Desimir",
year = "2023",
abstract = "Climate change and the resulting increase in the frequency and severity of drought can have
significant impacts on plant production. The use of drought-tolerant crop varieties can
significantly improve plant production under drought conditions. Therefore, the goal of this
research was to evaluate the drought tolerance of different wheat genotypes using stress
resistance indicators. An experiment was conducted with sixteen wheat genotypes in Novi Bečej (Vojvodina) in different growing seasons. The spike weight was used as a phenotypic marker of the effect of drought stress on the plant. Selection based on resistance indicators
such as stress tolerance index (STI), mean productivity (MP), and geometric mean
productivity (GMP) favors the selection of genotypes Dunavka, Skopjanka, and Fundulea 4,
which were characterized by the highest average values of spike weight, especially in
favorable growing conditions. However, genotype Fundulea 4 is characterized by the highest
stress susceptibility index (SSI) and the lowest yield stability index (YSI), which makes this
genotype undesirable for growing under drought conditions. The parameters SSI and YSI
favor the selection of the genotype Pitoma, which showed the highest value of spike weight in
drought conditions as well as the least reduction in value caused by stress. Genotypes Pitoma,
Dunavka, and Skopjanka, characterized by a high yield index (YI), are suitable for cultivation
in drought conditions, where they achieved above-average trait values. The most suitable
stress resistance indicators for selecting drought-tolerant wheat genotypes are SSI, YSI, and
YI.",
publisher = "East Sarajevo : Faculty of Agriculture",
journal = "XIV International Scientific Boo of proceedings : Agriculture Symposium "AGROSYM 2023", Jahorina, October 05 - 08",
title = "Stress resistance indicators as the tool for selecting drought-tolerant wheat genotypes",
pages = "323-318",
url = "https://hdl.handle.net/21.15107/rcub_rivec_809"
}
Matković Stojšin, M., Zečević, V., Urošević, D., Božović, D., Bačić, J., Bratković, K.,& Knežević, D.. (2023). Stress resistance indicators as the tool for selecting drought-tolerant wheat genotypes. in XIV International Scientific Boo of proceedings : Agriculture Symposium "AGROSYM 2023", Jahorina, October 05 - 08
East Sarajevo : Faculty of Agriculture., 318-323.
https://hdl.handle.net/21.15107/rcub_rivec_809
Matković Stojšin M, Zečević V, Urošević D, Božović D, Bačić J, Bratković K, Knežević D. Stress resistance indicators as the tool for selecting drought-tolerant wheat genotypes. in XIV International Scientific Boo of proceedings : Agriculture Symposium "AGROSYM 2023", Jahorina, October 05 - 08. 2023;:318-323.
https://hdl.handle.net/21.15107/rcub_rivec_809 .
Matković Stojšin, Mirela, Zečević, Veselinka, Urošević, Dušan, Božović, Dragan, Bačić, Jasmina, Bratković, Kamenko, Knežević, Desimir, "Stress resistance indicators as the tool for selecting drought-tolerant wheat genotypes" in XIV International Scientific Boo of proceedings : Agriculture Symposium "AGROSYM 2023", Jahorina, October 05 - 08 (2023):318-323,
https://hdl.handle.net/21.15107/rcub_rivec_809 .

Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments

Matkovic Stojsin, Mirela; Petrović, Sofija; Banjac, Borislav; Roljević Nikolić, Svetlana; Zečević, Veselinka; Bačić, Jasmina; Đorđević, Radiša; Knežević, Desimir

(Čačak : Poljoprivredni fakultet, Univerzitet u Kragujevcu, 2022)

TY  - JOUR
AU  - Matkovic Stojsin, Mirela
AU  - Petrović, Sofija
AU  - Banjac, Borislav
AU  - Roljević Nikolić, Svetlana
AU  - Zečević, Veselinka
AU  - Bačić, Jasmina
AU  - Đorđević, Radiša
AU  - Knežević, Desimir
PY  - 2022
UR  - http://RIVeC.institut-palanka.rs/handle/123456789/497
AB  - Various statistical methods were applied in this research: analysis of genetic parameters, Pearson’s correlation, genotypic and
phenotypic correlations, and Path analysis, with the aim of creating a selection criterion for increasing wheat grain yield. A twoyear experimental study was conducted with twenty-seven wheat genotypes, grown on two localities: Rimski Šančevi (Bačka,
Vojvodina), on Chernozem soil type; and Kumane (Banat, Vojvodina), on Solonjec soil type. The highest values of phenotypic
coefficient of variation (CVp) had the grain weight per plant (17.44% on Chernozem and 13.81% on Solonetz), while the lowest
value of CVp had the thousand grain weight (8.12% on Chernozem and 5.47% on Solonetz). On Chernozem, the value of the
genotypic coefficient of variation (CVg) ranged from 1.51%, in the number of grains per spike, to 9.17% in the spike length, while
on Solonetz, grain weight per plant had the lowest value of CVg (0.36%) and plant height the highest one (11.15%). At both
localities, grain yield was in highly significant and positive correlations with all analyzed traits, except with plant height and spike
length. In favorable environmental conditions (Chernozem), Path analysis revealed that grain yield directly depends on grain
weight per spike (0.317**), number of grains per spike (0.232**) and spike weight (0.209**), and other analyzed traits have a
positive indirect effect on grain yield over mentioned traits. Under salinity stress conditions, the grain weight per plant had the
highest direct effect on grain yield (0.891**), which makes this trait a good selection criterion in breeding for salinity stress
tolerance.
AB  - У овом истраживању су примењене различите статистичке методе: анализа генетичких параметара, Пирсонове
корелације, генотипске и фенотипске корелације и Path анализа, са циљем да се креира селекциони критеријум за
повећање приноса зрна пшенице. Споведено је двогодишње експериментално истраживање са двадесет седам
генотипова пшенице, гајених на два локалитета: Римски Шанчеви (Бачка, Војводина), на земљишту типа чернозем; и
Кумане (Банат, Војводина), на земљишту типа солоњец. Највеће вредности фенотипског коефицијента варијације (CVp)
има маса зрна по биљци (17,44% на чернозему и 13,81% на солоњецу), док је најмања вредност CVp установљена код масе
1000 зрна (8,12% на чернозему и 5,47% на солоњецу). Вредност генотипског коефицијента варијације (CVg) се, на
чернозему, кретала од 1,51%, код броја зрна по класу, до 9,17%, код дужине класа, док је на солоњецу маса зрна по биљци
имала најмању вредност CVg (0,36%), а висина биљке највећу (11,15%). На оба локалитета принос зрна је у
високозначајним и позитивним генотипским и фенотипским корелацијама са свим особинама, осим са висином биљке и
дужином класа. У повољним условима средине (чернозем), Path анализа показује да принос зрна директно зависи од
масе зрна по класу (0,317**), броја зрна по класу (0,232**) и масе класа (0,209**), док остале особине имају позитиван
индиректни ефекат на принос преко наведених особина. У условима стреса заслањености, највећи директни ефекат на
принос зрна има маса зрна по биљци (0,891**), што чини ову особину добрим селекционим критеријумом за повећање
приноса зрна у условима стреса.
PB  - Čačak : Poljoprivredni fakultet, Univerzitet u Kragujevcu
T2  - Acta Agriculturae Serbica
T1  - Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments
EP  - 87
IS  - 53
SP  - 79
VL  - 27
DO  - 10.5937/AASer2253079M
ER  - 
@article{
author = "Matkovic Stojsin, Mirela and Petrović, Sofija and Banjac, Borislav and Roljević Nikolić, Svetlana and Zečević, Veselinka and Bačić, Jasmina and Đorđević, Radiša and Knežević, Desimir",
year = "2022",
abstract = "Various statistical methods were applied in this research: analysis of genetic parameters, Pearson’s correlation, genotypic and
phenotypic correlations, and Path analysis, with the aim of creating a selection criterion for increasing wheat grain yield. A twoyear experimental study was conducted with twenty-seven wheat genotypes, grown on two localities: Rimski Šančevi (Bačka,
Vojvodina), on Chernozem soil type; and Kumane (Banat, Vojvodina), on Solonjec soil type. The highest values of phenotypic
coefficient of variation (CVp) had the grain weight per plant (17.44% on Chernozem and 13.81% on Solonetz), while the lowest
value of CVp had the thousand grain weight (8.12% on Chernozem and 5.47% on Solonetz). On Chernozem, the value of the
genotypic coefficient of variation (CVg) ranged from 1.51%, in the number of grains per spike, to 9.17% in the spike length, while
on Solonetz, grain weight per plant had the lowest value of CVg (0.36%) and plant height the highest one (11.15%). At both
localities, grain yield was in highly significant and positive correlations with all analyzed traits, except with plant height and spike
length. In favorable environmental conditions (Chernozem), Path analysis revealed that grain yield directly depends on grain
weight per spike (0.317**), number of grains per spike (0.232**) and spike weight (0.209**), and other analyzed traits have a
positive indirect effect on grain yield over mentioned traits. Under salinity stress conditions, the grain weight per plant had the
highest direct effect on grain yield (0.891**), which makes this trait a good selection criterion in breeding for salinity stress
tolerance., У овом истраживању су примењене различите статистичке методе: анализа генетичких параметара, Пирсонове
корелације, генотипске и фенотипске корелације и Path анализа, са циљем да се креира селекциони критеријум за
повећање приноса зрна пшенице. Споведено је двогодишње експериментално истраживање са двадесет седам
генотипова пшенице, гајених на два локалитета: Римски Шанчеви (Бачка, Војводина), на земљишту типа чернозем; и
Кумане (Банат, Војводина), на земљишту типа солоњец. Највеће вредности фенотипског коефицијента варијације (CVp)
има маса зрна по биљци (17,44% на чернозему и 13,81% на солоњецу), док је најмања вредност CVp установљена код масе
1000 зрна (8,12% на чернозему и 5,47% на солоњецу). Вредност генотипског коефицијента варијације (CVg) се, на
чернозему, кретала од 1,51%, код броја зрна по класу, до 9,17%, код дужине класа, док је на солоњецу маса зрна по биљци
имала најмању вредност CVg (0,36%), а висина биљке највећу (11,15%). На оба локалитета принос зрна је у
високозначајним и позитивним генотипским и фенотипским корелацијама са свим особинама, осим са висином биљке и
дужином класа. У повољним условима средине (чернозем), Path анализа показује да принос зрна директно зависи од
масе зрна по класу (0,317**), броја зрна по класу (0,232**) и масе класа (0,209**), док остале особине имају позитиван
индиректни ефекат на принос преко наведених особина. У условима стреса заслањености, највећи директни ефекат на
принос зрна има маса зрна по биљци (0,891**), што чини ову особину добрим селекционим критеријумом за повећање
приноса зрна у условима стреса.",
publisher = "Čačak : Poljoprivredni fakultet, Univerzitet u Kragujevcu",
journal = "Acta Agriculturae Serbica",
title = "Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments",
pages = "87-79",
number = "53",
volume = "27",
doi = "10.5937/AASer2253079M"
}
Matkovic Stojsin, M., Petrović, S., Banjac, B., Roljević Nikolić, S., Zečević, V., Bačić, J., Đorđević, R.,& Knežević, D.. (2022). Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments. in Acta Agriculturae Serbica
Čačak : Poljoprivredni fakultet, Univerzitet u Kragujevcu., 27(53), 79-87.
https://doi.org/10.5937/AASer2253079M
Matkovic Stojsin M, Petrović S, Banjac B, Roljević Nikolić S, Zečević V, Bačić J, Đorđević R, Knežević D. Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments. in Acta Agriculturae Serbica. 2022;27(53):79-87.
doi:10.5937/AASer2253079M .
Matkovic Stojsin, Mirela, Petrović, Sofija, Banjac, Borislav, Roljević Nikolić, Svetlana, Zečević, Veselinka, Bačić, Jasmina, Đorđević, Radiša, Knežević, Desimir, "Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments" in Acta Agriculturae Serbica, 27, no. 53 (2022):79-87,
https://doi.org/10.5937/AASer2253079M . .
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