TY  - JOUR
AU  - Bratković, Kamenko
AU  - Luković, Kristina
AU  - Perišić, Vladimir
AU  - Savić, Jasna
AU  - Maksimović, Jelena
AU  - Adžić, Slađan
AU  - Rakonjac, Aleksandra
AU  - Matković Stojšin, Mirela
PY  - 2024
UR  - https://intam.institut-tamis.rs/handle/123456789/329
AB  - Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the vegetative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley.
PB  - Basel, Switzerland : MDPI
T2  - Agronomy
T1  - Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model
EP  - 217
IS  - 1
SP  - 194
VL  - 14
DO  - 10.3390/agronomy14010194
ER  - 

@article{
author = "Bratković, Kamenko and Luković, Kristina and Perišić, Vladimir and Savić, Jasna and Maksimović, Jelena and Adžić, Slađan and Rakonjac, Aleksandra and Matković Stojšin, Mirela",
year = "2024",
abstract = "Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the vegetative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley.",
publisher = "Basel, Switzerland : MDPI",
journal = "Agronomy",
title = "Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model",
pages = "217-194",
number = "1",
volume = "14",
doi = "10.3390/agronomy14010194"
}

Bratković, K., Luković, K., Perišić, V., Savić, J., Maksimović, J., Adžić, S., Rakonjac, A.,& Matković Stojšin, M.. (2024). Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model. in Agronomy
Basel, Switzerland : MDPI., 14(1), 194-217.
https://doi.org/10.3390/agronomy14010194

Bratković K, Luković K, Perišić V, Savić J, Maksimović J, Adžić S, Rakonjac A, Matković Stojšin M. Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model. in Agronomy. 2024;14(1):194-217.
doi:10.3390/agronomy14010194 .

Bratković, Kamenko, Luković, Kristina, Perišić, Vladimir, Savić, Jasna, Maksimović, Jelena, Adžić, Slađan, Rakonjac, Aleksandra, Matković Stojšin, Mirela, "Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model" in Agronomy, 14, no. 1 (2024):194-217,
https://doi.org/10.3390/agronomy14010194 . .

TY  - JOUR
AU  - Matković Stojšin, 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  - https://intam.institut-tamis.rs/handle/123456789/234
AB  - U ovom istraživanju su primenjene različite statističke metode: analiza genetičkih parametara, Pirsonove korelacije, genotipske i fenotipske korelacije i Path analiza, sa ciljem da se kreira selekcioni kriterijum za povećanje prinosa zrna pšenice. Spovedeno je dvogodišnje eksperimentalno istraživanje sa dvadeset sedam genotipova pšenice, gajenih na dva lokaliteta: Rimski Šančevi (Bačka, Vojvodina), na zemljištu tipa černozem; i Kumane (Banat, Vojvodina), na zemljištu tipa solonjec. Najveće vrednosti fenotipskog koeficijenta varijacije (CVp) ima masa zrna po biljci (17,44% na černozemu i 13,81% na solonjecu), dok je najmanja vrednost CVp ustanovljena kod mase 1000 zrna (8,12% na černozemu i 5,47% na solonjecu). Vrednost genotipskog koeficijenta varijacije (CVg) se, na černozemu, kretala od 1,51%, kod broja zrna po klasu, do 9,17%, kod dužine klasa, dok je na solonjecu masa zrna po biljci imala najmanju vrednost CVg (0,36%), a visina biljke najveću (11,15%). Na oba lokaliteta prinos zrna je u visokoznačajnim i pozitivnim genotipskim i fenotipskim korelacijama sa svim osobinama, osim sa visinom biljke i dužinom klasa. U povoljnim uslovima sredine (černozem), Path analiza pokazuje da prinos zrna direktno zavisi od mase zrna po klasu (0,317**), broja zrna po klasu (0,232**) i mase klasa (0,209**), dok ostale osobine imaju pozitivan indirektni efekat na prinos preko navedenih osobina. U uslovima stresa zaslanjenosti, najveći direktni efekat na prinos zrna ima masa zrna po biljci (0,891**), što čini ovu osobinu dobrim selekcionim kriterijumom za povećanje prinosa zrna u uslovima stresa.
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 two-year 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.
PB  - Univerzitet u Kragujevcu - Agronomski fakultet, Čačak
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
UR  - conv_91
ER  - 

@article{
author = "Matković Stojšin, 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 = "U ovom istraživanju su primenjene različite statističke metode: analiza genetičkih parametara, Pirsonove korelacije, genotipske i fenotipske korelacije i Path analiza, sa ciljem da se kreira selekcioni kriterijum za povećanje prinosa zrna pšenice. Spovedeno je dvogodišnje eksperimentalno istraživanje sa dvadeset sedam genotipova pšenice, gajenih na dva lokaliteta: Rimski Šančevi (Bačka, Vojvodina), na zemljištu tipa černozem; i Kumane (Banat, Vojvodina), na zemljištu tipa solonjec. Najveće vrednosti fenotipskog koeficijenta varijacije (CVp) ima masa zrna po biljci (17,44% na černozemu i 13,81% na solonjecu), dok je najmanja vrednost CVp ustanovljena kod mase 1000 zrna (8,12% na černozemu i 5,47% na solonjecu). Vrednost genotipskog koeficijenta varijacije (CVg) se, na černozemu, kretala od 1,51%, kod broja zrna po klasu, do 9,17%, kod dužine klasa, dok je na solonjecu masa zrna po biljci imala najmanju vrednost CVg (0,36%), a visina biljke najveću (11,15%). Na oba lokaliteta prinos zrna je u visokoznačajnim i pozitivnim genotipskim i fenotipskim korelacijama sa svim osobinama, osim sa visinom biljke i dužinom klasa. U povoljnim uslovima sredine (černozem), Path analiza pokazuje da prinos zrna direktno zavisi od mase zrna po klasu (0,317**), broja zrna po klasu (0,232**) i mase klasa (0,209**), dok ostale osobine imaju pozitivan indirektni efekat na prinos preko navedenih osobina. U uslovima stresa zaslanjenosti, najveći direktni efekat na prinos zrna ima masa zrna po biljci (0,891**), što čini ovu osobinu dobrim selekcionim kriterijumom za povećanje prinosa zrna u uslovima stresa., 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 two-year 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.",
publisher = "Univerzitet u Kragujevcu - Agronomski fakultet, Čačak",
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",
url = "conv_91"
}

Matković Stojšin, 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
Univerzitet u Kragujevcu - Agronomski fakultet, Čačak., 27(53), 79-87.
https://doi.org/10.5937/AASer2253079M
conv_91

Matković Stojšin 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
conv_91 .

Matković Stojšin, 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 .,
conv_91 .

TY  - JOUR
AU  - Perišić, Vladimir
AU  - Perišić, Vesna
AU  - Luković, Kristina
AU  - Bratković, Kamenko
AU  - Zečević, Veselinka
AU  - Babić, Snežana
AU  - Matković Stojšin, Mirela
PY  - 2022
UR  - https://intam.institut-tamis.rs/handle/123456789/227
AB  - Hlebna pšenica je jedna od najzastupljenijih ratarskih vrsta, čiji je nivo i stabilnost prinosa veoma važan za prehrambenu sigurnost Republike Srbije. U radu je ispitivana stabilnost ekspresije prinosa zrna 15 genotipova ozime hlebne pšenice u različitim agroekološkim uslovima Srbije, korišćenjem AMMI modela i GGE-biplot analize. Cilj je bio da se utvrdi koja od primenjenih analiza je superiornija u identifikaciji najpoželjnijih genotipova za gajenje u datim sredinama. Analiza varijanse je pokazala da genotip i interakcija genotip-sredina (G×E) predstavljaju veoma značajan izvor varijabilnosti pri ekspresiji prinosa zrna. AMMI i GGE analize su dale slične rezultate, pa je nesporan zaključak da je neophodno višelokacijske oglede, pored analizom varijanse koja se najćešće rutinski koristi, analizirati i jednim od ova dva modela, koji kombinuju analizu varijanse i PCA analizu. AMMI analiza je jednostavnija za interpretaciju i bliža je agronomskom konceptu poimanja ogleda, dok je GGE analiza kompleksnija i jasnija za interpretaciju gde ko pobeđuje, odnosno za definisanje usko prilagođenih genotipova datim sredinama. Tako G11, kao genotip sa najvećim prosečnim prinosom je usko prilagođen lokaciji Sombor, pa se prevashodno može preporučiti toj lokaciji ali i lokaciji 2 (Kruševac), dok se genotipovi skromnijih zahteva (G2) pre mogu preporučiti za gajenje u lokaciji 1 (Kragujevac), koja se odlikuje lošijim zemljištem i manjom količinom i lošijim rasporedom padavina.
AB  - Bread wheat is one of the most represented field crops whose level and stability of yield is very important for the food security in Republic Serbia. In the paper was investigated stability of yield expression of 15 winter bread wheat genotypes in different agroecological conditions of Serbia, using the Additive main effects and multiplicative interaction (AMMI) model and GGE-biplot method of analysis. Aim of investigation was to determine which of applied analysis is superior in identification of the most desirable genotypes for cultivation in given environments. Analysis of variance showed that genotype and genotype-environment (G×E) interaction represent highly significant sources of variability in expression of grain yield. AMMI and GGE analyses were point out similar results and an indisputable conclusion is that multienvironment trials, besides routine usage of analysis of variance, must be analized with one of this two models, which combine analysis of variance and PCA analysis. AMMI analysis is simpler for interpretation and closer to the concept of view of the agronomical trial, while GGE analysis is more complex and gives more precise interpretation of "which-won-where", i .e. for defining of narrowly adapted genotypes in given environments. Thus, G11 as the genotype with highest average yield is narrow adapted to the environment Sombor and can be recommended, as well as in the environment 2 (Kruševac), while genotypes with modest requests (G2) rather can be recommended for cultivation in the environment 1 (Kragujevac), which is characterized by less fertile soil and a smaller amount and uneven distribution of precipitation.
PB  - Društvo selekcionara i semenara Republike Srbije, Beograd
T2  - Selekcija i semenarstvo
T1  - Stabilnost prinosa zrna genotipova ozime pšenice
T1  - Stability of grain yield performance of winter wheat genotypes
EP  - 60
IS  - 2
SP  - 52
VL  - 28
DO  - 10.5937/SelSem2201052P
UR  - conv_73
ER  - 

@article{
author = "Perišić, Vladimir and Perišić, Vesna and Luković, Kristina and Bratković, Kamenko and Zečević, Veselinka and Babić, Snežana and Matković Stojšin, Mirela",
year = "2022",
abstract = "Hlebna pšenica je jedna od najzastupljenijih ratarskih vrsta, čiji je nivo i stabilnost prinosa veoma važan za prehrambenu sigurnost Republike Srbije. U radu je ispitivana stabilnost ekspresije prinosa zrna 15 genotipova ozime hlebne pšenice u različitim agroekološkim uslovima Srbije, korišćenjem AMMI modela i GGE-biplot analize. Cilj je bio da se utvrdi koja od primenjenih analiza je superiornija u identifikaciji najpoželjnijih genotipova za gajenje u datim sredinama. Analiza varijanse je pokazala da genotip i interakcija genotip-sredina (G×E) predstavljaju veoma značajan izvor varijabilnosti pri ekspresiji prinosa zrna. AMMI i GGE analize su dale slične rezultate, pa je nesporan zaključak da je neophodno višelokacijske oglede, pored analizom varijanse koja se najćešće rutinski koristi, analizirati i jednim od ova dva modela, koji kombinuju analizu varijanse i PCA analizu. AMMI analiza je jednostavnija za interpretaciju i bliža je agronomskom konceptu poimanja ogleda, dok je GGE analiza kompleksnija i jasnija za interpretaciju gde ko pobeđuje, odnosno za definisanje usko prilagođenih genotipova datim sredinama. Tako G11, kao genotip sa najvećim prosečnim prinosom je usko prilagođen lokaciji Sombor, pa se prevashodno može preporučiti toj lokaciji ali i lokaciji 2 (Kruševac), dok se genotipovi skromnijih zahteva (G2) pre mogu preporučiti za gajenje u lokaciji 1 (Kragujevac), koja se odlikuje lošijim zemljištem i manjom količinom i lošijim rasporedom padavina., Bread wheat is one of the most represented field crops whose level and stability of yield is very important for the food security in Republic Serbia. In the paper was investigated stability of yield expression of 15 winter bread wheat genotypes in different agroecological conditions of Serbia, using the Additive main effects and multiplicative interaction (AMMI) model and GGE-biplot method of analysis. Aim of investigation was to determine which of applied analysis is superior in identification of the most desirable genotypes for cultivation in given environments. Analysis of variance showed that genotype and genotype-environment (G×E) interaction represent highly significant sources of variability in expression of grain yield. AMMI and GGE analyses were point out similar results and an indisputable conclusion is that multienvironment trials, besides routine usage of analysis of variance, must be analized with one of this two models, which combine analysis of variance and PCA analysis. AMMI analysis is simpler for interpretation and closer to the concept of view of the agronomical trial, while GGE analysis is more complex and gives more precise interpretation of "which-won-where", i .e. for defining of narrowly adapted genotypes in given environments. Thus, G11 as the genotype with highest average yield is narrow adapted to the environment Sombor and can be recommended, as well as in the environment 2 (Kruševac), while genotypes with modest requests (G2) rather can be recommended for cultivation in the environment 1 (Kragujevac), which is characterized by less fertile soil and a smaller amount and uneven distribution of precipitation.",
publisher = "Društvo selekcionara i semenara Republike Srbije, Beograd",
journal = "Selekcija i semenarstvo",
title = "Stabilnost prinosa zrna genotipova ozime pšenice, Stability of grain yield performance of winter wheat genotypes",
pages = "60-52",
number = "2",
volume = "28",
doi = "10.5937/SelSem2201052P",
url = "conv_73"
}

Perišić, V., Perišić, V., Luković, K., Bratković, K., Zečević, V., Babić, S.,& Matković Stojšin, M.. (2022). Stabilnost prinosa zrna genotipova ozime pšenice. in Selekcija i semenarstvo
Društvo selekcionara i semenara Republike Srbije, Beograd., 28(2), 52-60.
https://doi.org/10.5937/SelSem2201052P
conv_73

Perišić V, Perišić V, Luković K, Bratković K, Zečević V, Babić S, Matković Stojšin M. Stabilnost prinosa zrna genotipova ozime pšenice. in Selekcija i semenarstvo. 2022;28(2):52-60.
doi:10.5937/SelSem2201052P
conv_73 .

Perišić, Vladimir, Perišić, Vesna, Luković, Kristina, Bratković, Kamenko, Zečević, Veselinka, Babić, Snežana, Matković Stojšin, Mirela, "Stabilnost prinosa zrna genotipova ozime pšenice" in Selekcija i semenarstvo, 28, no. 2 (2022):52-60,
https://doi.org/10.5937/SelSem2201052P .,
conv_73 .